Google Jobs API

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    {
      "position": 1,
      "title": "Applied AI Engineer",
      "company_name": "Distyl AI",
      "company_web_results_link": "https://www.google.com/search?gl=us&hl=en&q=Distyl+AI&sa=X&ved=0ahUKEwjA_Mv2ieb_AhWdFFkFHYi_CnoQmJACCNIJ",
      "location": "New York, NY",
      "via": "via LinkedIn",
      "description": "We are seeking an Applied AI Engineer (\"Applied AI\") to join our team and help us deliver tailored AI solutions to our clients. In this role, you will work directly with customers to identify their business problems, design and implement AI applications using Distyl's products and technologies, and ensure that the applications are operational for end users.\n\nResponsibilities...\n• Thoughtfully design and implement systems that leverage LLMs in a responsible and predictable manner. This includes model vetting, pilot development, and production implementation.\n• Collaborate with customers to understand their challenges and pain-points, and create innovative yet practical AI solutions.\n• Contribute to the development of Distyl's internal platform (Distillery) for LLM application development, including designing and implementing new features and functionality.\n• Monitor and maintain production systems to ensure they are meeting system requirements and delivering the expected results\n• Stay up-to-date with AI and ML trends, and leverage your practical experience with Large Language Models (especially OpenAI's) to responsibly evaluate their trade-offs and bring innovative solutions to our customers.\n• Continuously improve solution design and implementation processes, incorporating feedback and lessons learned from previous projects.\n\nRequirements\n• Bachelor's degree in Computer Science, Mathematics, or related fields\n• At least 3 years of experience as a software engineer or machine learning engineer\n• Practical experience in software development (ideally full stack) and production deployments for data-intensive or ML-based products\n• An obsession with thorough AI/ML evaluation to create reliable applications\n• Strong knowledge of machine learning fundamentals and deep learning frameworks (e.g., PyTorch, Transformers, Scikit-learn, NumPy, Pandas)\n• Work experience with software development best practices, including version control (e.g., Git), automated testing, and continuous integration/continuous deployment (CI/CD)\n• Experience architecting and implementing cloud data infrastructure and pipelines (Azure, AWS, and GCP)\n• Strong communication and collaboration skills\n\nWhat We Offer\n• Opportunity to build a mission-oriented company together to create practical adoption of the biggest revolution in human productivity.\n• Competitive salary and benefits package, including equity options.\n• Opportunity to work on cutting-edge AI technologies and make a real impact on the adoption of LLMs in the enterprise space.\n• Collaborative and supportive work environment, with a strong focus on personal and professional growth.\n• Exposure to a diverse range of real-world industries and projects, providing unique challenges and learning opportunities.\n• Chance to be part of a growing team that is passionate about AI and its potential to revolutionize human productivity.\n\nIf you are an innovative, ambitious, and driven individual looking to make a difference in the world of AI, we want to hear from you. Apply now to join our team as an Applied AI Engineer and help us shape the future of AI-driven solutions for enterprises across the globe",
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            "Work experience with software development best practices, including version control (e.g., Git), automated testing, and continuous integration/continuous deployment (CI/CD)"
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            "In this role, you will work directly with customers to identify their business problems, design and implement AI applications using Distyl's products and technologies, and ensure that the applications are operational for end users",
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    {
      "position": 2,
      "title": "AI Engineer",
      "company_name": "BrainPOP",
      "company_website": "http://www.brainpop.com/",
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      "location": "New York, NY",
      "via": "via My ArkLaMiss Jobs",
      "description": "BrainPOP makes rigorous learning experiences accessible and engaging for all. Proven to raise academic achievement, the brand has been trusted by educators and parents worldwide for more than two decades. BrainPOP has a presence in over two-thirds of U.S. districts through school and district subscriptions and an estimated reach of 25 million students annually. Beloved by kids, BrainPOP provides... endless opportunities for them to take agency over their learning through playful, knowledge-building content and learner-driven experiences that strengthen critical, computational, and creative thinking across the entire curriculum. The company is committed to empowering kids to succeed and thrive in the classroom and beyond.\n\nFounded in 1999 by former pediatrician and immunologist Avraham Kadar, M.D., in 2022, BrainPOP was acquired by KIRKBI-the family-owned holding and investment company of the LEGO brand-in its first acquisition in digital learning.\n\nWe're seeking an AI Engineer with a background in building infrastructure enabling our AI researchers and other AI engineers to develop high-performance AI-powered capabilities, such as learner-centered generative AI and learning personalization.\n\nAI-enhanced personalized learning is core to our comprehensive learning platform. You and your team will support the AI/ML needs of BrainPOP's products and services. Reporting to the Chief Academic Officer, you will partner with cross-functional leaders to help drive the research and development of personalized learning at BrainPOP. You will be focused on results, be proactive, deliver rigorous, customized learning capabilities, and use data to drive changes in products and services.\n\nIn this role, you will:\n• Help create a vision and roadmap for the AI infrastructure used across BrainPOP\n• Develop high-performance, scalable, and reliable software solutions for learner-centered generative AI and learning personalization in Python and Python-based AI/ML frameworks\n• Develop effective methods of AI model testing during all stages: development, deployment, and recalibration\n• Train machine learning models, evaluate performance metrics, and communicate results with visual and statistical aids\n• Analyze, visualize, and communicate insights based on large multidimensional datasets\n• Utilize best practices for learning technologies and software development of high-performance systems around design, coding, automated unit, and regression testing and deployment\n• Work closely with our learning scientists and engineers to define collection events and data transformations to drive personalized learning.\nYou Are:\n• Energized by leading AI software development to tackle and make progress against complex and ambiguous product roadmaps and business opportunities.\n• Demonstrated technical experience in infrastructure and operations for machine learning: including deep expertise in technologies for ML model serving, ML model training, feature stores, etc.\n• Experienced in developing and refining AI models using prompt engineering techniques in the context of generative AI models (e.g., GPT4, Bard).\n• Highly motivated to inspire a high-profile, high-performing team helping the team to prioritize, develop professionally, and drive bottom-line impact.\n• Comfortable working with multiple stakeholders and functions and demonstrated ability to interact at the executive level and effectively manage multiple, often simultaneous, high-priority projects and recurring workstreams.\nOn your resume:\n• A Bachelor's degree in Computer Science or a related technical field (Masters's degree preferred)\n• 2+ years of experience in AI/ML software development and working collaboratively with cross-functional teams to guide AI/ML-enhanced product planning, prioritization, and strategy development\n• Extensive experience with Python and Python-based AI/ML frameworks\n• Excellent communication skills\n• Ability to work well on a team as well as autonomously\nLife at BrainPOP\n\nWhat we do today directly impacts how teachers teach and students learn. We continue to be inspired because we can see the difference we're making and are proud to be a creative, collaborative, always-teaching, and always-learning community. Our commitment to supporting and empowering teachers and students is reflected in our dedication to enhancing the lives of our employees-in and out of the office.\n\nOur team is made up of educators, data scientists, published authors, engineers, artists, bakers, film buffs, cyclists, dual citizens, and so much more. We value Diversity & Inclusion, collaboration, and learning from multiple perspectives, and we encourage people to bring their most authentic selves to work.\n\nBesides offering a comprehensive benefits package and emphasizing work-life balance, we make it a point to integrate fun and play into the workplace.\n\nWe offer:\n• Corporate Donation Matching\n• Medical, Dental, Vision, and Paid Life Insurance\n• 401K with a company match\n• Friends & Family BrainPOP Subscription\n• Learning & Development Stipend\n• Wellness Activities (ClassPass Membership)\n• Annual Performance Bonus\n• Company Events (happy hours, volunteering opportunities, trivia nights, and monthly Town Halls)\nThe starting salary for this role is between $120,000 - $130,000, depending on skills and experience. We take a geo-neutral approach to compensation within the US, meaning that we pay based on job function and level, not location. We have competitive pay bands for all other countries based on market standards. Individual compensation decisions are based on several factors, including experience level, skill set, and balancing internal equity relative to peers at the company. Based on these factors, we expect most of the candidates offered roles at our company to fall healthily throughout the range. We recognize that the person we hire may be less experienced (or more senior) than this job description, as posted. If so, the updated salary range will be communicated to you as a candidate.\n\nLocation:\n\nBrainPOP is a hybrid work environment, allowing employees to self-select where they work-whether fully remote in approved states or in-office in our New York headquarters.\n\nWe can employ remotely out of the following approved hiring states:\n• California\n• Connecticut\n• Florida\n• Georgia\n• Illinois\n• Massachusetts\n• Missouri\n• New Jersey\n• New York\n• North Carolina\n• Oregon\n• Pennsylvania\n• Tennessee\n• Texas\nWe believe that a diverse organization is a more effective organization. BrainPOP is an Equal Opportunity/Affirmative Action Employer",
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            "2+ years of experience in AI/ML software development and working collaboratively with cross-functional teams to guide AI/ML-enhanced product planning, prioritization, and strategy development",
            "Extensive experience with Python and Python-based AI/ML frameworks",
            "Excellent communication skills"
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            "You and your team will support the AI/ML needs of BrainPOP's products and services",
            "Reporting to the Chief Academic Officer, you will partner with cross-functional leaders to help drive the research and development of personalized learning at BrainPOP",
            "Besides offering a comprehensive benefits package and emphasizing work-life balance, we make it a point to integrate fun and play into the workplace",
            "Corporate Donation Matching"
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    {
      "position": 3,
      "title": "AI Product Engineer (Greater NYC Area, NY)",
      "company_name": "Notion",
      "company_website": "http://www.notion.so/",
      "company_web_results_link": "https://www.google.com/search?gl=us&hl=en&q=Notion&sa=X&ved=0ahUKEwjA_Mv2ieb_AhWdFFkFHYi_CnoQmJACCOYK",
      "location": "New York, NY",
      "via": "via Built In NYC",
      "description": "About Us:\n\nWe're on a mission to make it possible for every person, team, and company to be able to tailor their software to solve any problem and take on any challenge. Computers may be our most powerful tools, but most of us can't build or modify the software we use on them every day. At Notion, we want to change this with focus, design, and craft...\n\nWe've been working on this together since 2016, and have customers like Pixar, Mitsubishi, Figma, Plaid, Match Group, and thousands more on this journey with us. Today, we're growing fast and excited for new teammates to join us who are the best at what they do. We're passionate about building a company as diverse and creative as the millions of people Notion reaches worldwide.\n\nNotion is an in person company, and currently requires its employees to come to the office for two Anchor Days (Mondays & Thursdays) and requests that employees spend the majority of their week in the office (including a third day).\nAbout The Role:\n\nWe are looking for an AI Product Engineer to join our small but nimble AI team whose mission is to make Notion an AI-powered product. As an AI Product Engineer, you will work on developing and implementing AI-powered products, incorporating large language models (LLMs), embeddings, and other AI technologies into Notion’s product.\nWhat you’ll achieve:\n• Work with the team to prototype and experiment with new AI features\n• Productionize and launch new AI technology integrations into Notion’s core product\n• Collaborate with cross-functional teams to deliver product features on time\n• Stay up-to-date with the latest AI technologies and trends\nSkills You'll Need to Bring:\n• Expertise building and prototyping: You understand how parts of a system fit together, from the user interface to the data model. You are familiar with relational database systems like Postgres or MySQL, and have experience building products from ground up.\n• Shipping quality user interfaces: You partner closely with product and design to craft beautiful user experiences for large audiences, leveraging web technologies like HTML, CSS, JavaScript, and a modern UI framework like React.\n• Problem-solving: You approach problems holistically, starting with a clear and accurate understanding of the context. You think critically about the implications of what you're building and how it will impact real people's lives. You can navigate ambiguity flawlessly, decompose complex problems into clean solutions, while also balancing the business impact of what you’re building.\n• Empathetic communication and collaboration: You communicate nuanced ideas clearly, whether you're explaining technical decisions in writing or brainstorming in real time. In disagreements, you engage thoughtfully with other perspectives and compromise when needed. You enjoy collaborating with both fellow engineers and cross-functional partners. You are a lifelong learner and invest in both your own growth and the growth, learning, and development of your teammates.\n• Impact-orientation and user focus: You care about business impact and prioritize projects accordingly. You understand the balance between craft, speed, and the bottom line. You think critically about the implications of what you're building, and how it shapes real people's lives. You understand that reach comes with responsibility for our impact—good and bad. Work isn't a solo endeavor for you, and you enjoy collaborating cross-functionally to accomplish shared goals.\nNice to Haves:\n• You have extensive experience building AI products using LLMs, embeddings and other ML technologies.\n• You're proficient with any part of our technology stack: React, TypeScript, Node.js, and Postgres.\n• You have experience driving teams toward shared goals and can balance business priorities with individuals’ strengths, areas of interest, and career development goals.\n• You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work.\n• You have interests outside of technology, such as in art, history, or social sciences.\n\nWe hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you’re excited about a role but your past experience doesn’t align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you’re a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you.\n\nNotion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.\n\nNotion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $165,000 - $230,000 per year.\n\n#LI-Onsite",
      "job_highlights": [
        {
          "title": "Qualifications",
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            "Expertise building and prototyping: You understand how parts of a system fit together, from the user interface to the data model",
            "You are familiar with relational database systems like Postgres or MySQL, and have experience building products from ground up",
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            "You think critically about the implications of what you're building and how it will impact real people's lives",
            "You understand the balance between craft, speed, and the bottom line",
            "You have extensive experience building AI products using LLMs, embeddings and other ML technologies"
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            "As an AI Product Engineer, you will work on developing and implementing AI-powered products, incorporating large language models (LLMs), embeddings, and other AI technologies into Notion’s product",
            "Work with the team to prototype and experiment with new AI features",
            "Notion is committed to providing highly competitive cash compensation, equity, and benefits",
            "For roles based in San Francisco or New York City, the estimated base salary range for this role is $165,000 - $230,000 per year"
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    {
      "position": 4,
      "title": "Principal ML/AI Engineer",
      "company_name": "Well",
      "company_web_results_link": "https://www.google.com/search?gl=us&hl=en&q=Well&sa=X&ved=0ahUKEwjA_Mv2ieb_AhWdFFkFHYi_CnoQmJACCKwL",
      "location": "New York, NY",
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      "description": "Company: The mission of Well is to transform healthcare through our unique impact to our members' health and happiness. We do this through our differentiated consumer experience and world-class data and analytics engine that drive engagement and behavior change. Our product -- a consumer health engagement platform -- integrates concierge services, behavioral health, telemedicine, care management... and wellness services to drive sustained engagement, lower costs and improve the health of members. In addition to our product, we know our team makes us unique. We’re a highly diverse and engaged organization whose employees are passionate about the mission of the company and whose management is passionate about the employees.\n\nNote that all new hires at Well are required to adhere to the COVID Vaccination Requirement Policy.\n\nPosition Title: Principal ML/AI Engineer\n\nReporting To: Senior Director of Data Science and Machine Learning\n\nLocation: Chapel Hill, NC; Minneapolis, MN; Boston, MA (Newton Office); New York, NY\n\nCompensation Information: This role could be hired for within the range of $160,000-$180,000, based on qualifications.\n\nPosition Summary:\n\nThe overall goal is to engage our members to drive better health outcomes. Our modeling and optimization platform (the Health Engine) contributes directly to our product through machine learning, statistics, analysis, and computation. The next member of our team will drive ML and AI projects from beginning to end: frame business questions, collect and analyze data, research, prototype models, build/deploy pipelines, and share insights. They will work collaboratively within a team aiming to make a positive impact on the organization and on our members’ overall health.\n\nKey Responsibilities:\n• Identify opportunities to use and tune generative models using current and emerging methodologies in machine learning and AI. Lead improvements to our recommendation engines, natural language processing/understanding, develop AI tools to help teams improve operations, and enhance our data-driven decision making.\n• Leverage and utilize a wide range of disparate data sources across our ecosystem and within healthcare (app, claims, EHR, wearables).\n• Architect and develop our data and machine learning ecosystem, working to run experiments and deploy models to production environments and that operate effectively at scale.\n• Provide generative modeling expertise within the team and across the organization.\n• Take personal responsibility for keeping all Well systems and data, including sensitive member data, secure and safe, according to Well data and security policies and HIPAA guidelines\n\nPreferred Qualifications:\n• 7+ years of work/industry experience in data science or machine learning roles\n• Advanced degree (MS or PhD) in a quantitative field. Strong grasp and theoretical understanding of machine learning\n• Demonstrated experience using Python for machine learning and AI (pytorch, huggingface, langchain, spacy, sklearn, numpy, pandas)\n• Experience with LLMs and generative models (applying, prompting, fine tuning)\n• Proficient with SQL and databases\n• Expertise using Unix/OSX from the command line, version control (Git), and general software development best practices for contributing to a collaborative code base\n• Experience executing analyses in the cloud (GCP, AWS)\n• Strong communication and collaboration skills required. Ability to communicate technical modeling concepts and relevant aspects of modeling platforms to non-technical audiences\n\nAdditional Job Information\n\nWell is on a mission to redefine the healthcare experience. This is an opportunity to re-shape healthcare for America. We are developing solutions to improve the quality and affordability of healthcare. We welcome team members who are passionate about that mission. We embrace diversity and are committed to building an inclusive team.\n\nWell is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. We seek diversity and encourage individuals from underrepresented groups to apply",
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            "Reporting To: Senior Director of Data Science and Machine Learning",
            "They will work collaboratively within a team aiming to make a positive impact on the organization and on our members’ overall health",
            "Compensation Information: This role could be hired for within the range of $160,000-$180,000, based on qualifications"
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      "position": 5,
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      "company_name": "Rose AI",
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      "description": "About Rose AI\n\nRose AI is a cutting-edge cloud data platform that leverages generative AI to help users find, visualize, and share data. By combining powerful natural language processing and state-of-the-art open-source LLMs, we empower knowledge workers to research at the speed of thought, starting with the finance industry. Our platform simplifies the process of accessing, manipulating, and... visualizing data, providing a single source of truth that is fully auditable and easy to use.\n\nJob Description\n\nWe are seeking a talented and experienced Senior ML/AI Engineer to join our team at Rose AI. You will be responsible for designing, implementing, and optimizing advanced machine learning models to drive the next generation of our platform. You will work alongside a team of passionate engineers and researchers dedicated to transforming the way data is accessed, visualized, and shared.\n\nResponsibilities\n• Develop and implement cutting-edge machine learning and AI algorithms to improve the platform’s performance, scalability, and user experience\n• Collaborate with cross-functional teams to define and prioritize product requirements, scope, and timeline\n• Conduct research to stay up-to-date with the latest ML/AI technologies and industry trends\n• Optimize existing models and algorithms to enhance performance and efficiency\n• Develop and maintain a robust ML/AI pipeline, including data preprocessing, feature extraction, model training, and evaluation\n• Ensure high-quality code by following best practices and conducting thorough code reviews\n• Work closely with the data team to understand data sources and implement data ingestion and processing solutions\n• Mentor and support junior team members to foster a culture of continuous learning and growth\n\nQualifications\n• BS, MS, or PhD in Computer Science, Engineering, Statistics, or a related field\n• 5+ years of experience in machine learning, AI, or a related field\n• Strong programming skills in Python and experience with ML/AI frameworks (e.g., TensorFlow, PyTorch, or similar)\n• Expertise in natural language processing, deep learning, and generative models\n• Familiarity with cloud platforms and services (e.g., AWS, GCP, Azure)\n• Experience with data processing tools and libraries (e.g., Pandas, NumPy, Dask)\n• Strong problem-solving skills and the ability to work independently and collaboratively\n• Excellent communication and interpersonal skills\n• Preferred Qualifications:\n• Experience in the finance industry and familiarity with financial data sources\n• Experience working with large-scale, distributed systems\n• A proven track record of published research in ML/AI or related fields\n• Experience with data visualization tools and libraries (e.g., D3.js, Plotly, or similar)\n\nBenefits\n• Competitive salary and equity package\n• Comprehensive health, dental, and vision insurance\n• Generous vacation and holiday policy\n• Professional development and growth opportunities\n• Collaborative and inclusive work environment\n\nHow To Apply\n\nIf you are a talented and driven individual with a passion for revolutionizing the way data is accessed and visualized, we would love to hear from you. To apply, please submit your resume, a cover letter detailing your relevant experience, and any links to your GitHub, research publications, or other examples of your work.\n\nRose AI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.\n• Please note that this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice",
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      "description": "Strength Through Diversity\n\nGround breaking science. Advancing medicine. Healing made personal...\n\nRoles & Responsibilities:\n\nThe Thomas Fuchs Lab at the Windreich Dept. of AI & Human Health at Mount Sinai is inviting applications for a Data Engineer position in the novel field of computational pathology using supervised, weakly supervised, and unsupervised machine-learning algorithms and methods with applications in healthcare. The Data Engineer would aim to improve clinical practice in pathology by developing intelligent decision-support systems that not only automate cumbersome or repetitive tasks but also lead to more objective and reproducible results. The overarching goal is to lead the way in transforming pathology from a qualitative to a quantitative discipline. The Data Engineer will join a dynamic team of data scientists and clinicians and participate in unique opportunities to apply machine learning for important scientific breakthroughs and to directly impact patients' lives in a clinical setting.\n\nThis position will be in the lab of Thomas J. Fuchs, Dr. Sc. housed in the Hasso Plattner Institute for Digital Health at Mount Sinai (HPI.MS) in the Windreich Department of AI and Human Health at the Icahn School of Medicine at Mount Sinai in Manhattan, New York, NY, USA. HPI.MS has a vested interest in using advanced data science methodologies on large-scale health data to push forward precision medicine.\n\nRequirements:\n• BS and/or MS in a quantitative science-related field (e.g., biomedical informatics, clinical informatics, machine learning, biostatistics, genetics, etc.)\n• Experience in machine learning techniques is required, ideally with published work and/or code available. Experience with deep learning frameworks is preferred (e.g.,, Tensorflow, PyTorch, Keras). Experience with computational pathology, large vision models (CNNs, vision transformers), multi-GPU multi-node training, and federated learning strongly encouraged\n• Experience with programming and statistical software experience in Python and/or R\n• Experience working on an HPC cluster is encouraged\n• Publication track record including conference papers and preprints (e.g., arxiv)\n• Strong communication and presentation skills with fluency in spoken and written English\n\nStrength Through Diversity\n\nThe Mount Sinai Health System believes that diversity, equity, and inclusion are key drivers for excellence. We share a common devotion to delivering exceptional patient care. When you join us, you become a part of Mount Sinai's unrivaled record of achievement, education, and advancement as we revolutionize medicine together. We invite you to participate actively as a part of the Mount Sinai Health System team by:\n• Using a lens of equity in all aspects of patient care delivery, education, and research to promote policies and practices to allow opportunities for all to thrive and reach their potential\n• Serving as a role model confronting racist, sexist, or other inappropriate actions by speaking up, challenging exclusionary organizational practices, and standing side-by-side in support of colleagues who experience discrimination\n• Inspiring and fostering an environment of anti-racist behaviors among and between departments and co-workers\n\nWe work hard to acquire and retain the best people and to create an inclusive, welcoming and nurturing work environment where all feel they are valued, belong, and are able to professionally advance. We share the belief that all employees, regardless of job title or expertise, contribute to the patient experience and quality of patient care.\n\nExplore more about this opportunity and how you can help us write a new chapter in our history!\n\nWho We Are\n\nOver 42,000 employees strong, the mission of the Mount Sinai Health System is to provide compassionate patient care with seamless coordination and to advance medicine through unrivaled education, research, and outreach in the many diverse communities we serve.\n\nFormed in September 2013, The Mount Sinai Health System combines the excellence of the Icahn School of Medicine at Mount Sinai with seven premier hospitals, including Mount Sinai Beth Israel, Mount Sinai Brooklyn, The Mount Sinai Hospital, Mount Sinai Queens, Mount Sinai West (formerly Mount Sinai Roosevelt), Mount Sinai St. Luke's, and New York Eye and Ear Infirmary of Mount Sinai.\n\nThe Mount Sinai Health System (MSHS) provides equal employment opportunity to all its employees and applicants for employment without unlawful discrimination on the basis of their actual or perceived race, creed, color, religion, national origin, sex, gender, gender expression, gender identity, age, disability, marital or parental status, sexual orientation, veteran, immigration, citizenship, or other protected status.\n\nEOE including Veterans and Disabled\n\nStrength Through Diversity\n\nThe Mount Sinai Health System believes that diversity, equity, and inclusion are key drivers for excellence. We share a common devotion to delivering exceptional patient care. When you join us, you become a part of Mount Sinai's unrivaled record of achievement, education, and advancement as we revolutionize medicine together. We invite you to participate actively as a part of the Mount Sinai Health System team by:\n• Using a lens of equity in all aspects of patient care delivery, education, and research to promote policies and practices to allow opportunities for all to thrive and reach their potential.\n• Serving as a role model confronting racist, sexist, or other inappropriate actions by speaking up, challenging exclusionary organizational practices, and standing side-by-side in support of colleagues who experience discrimination.\n• Inspiring and fostering an environment of anti-racist behaviors among and between departments and co-workers.\n\nWe work hard to acquire and retain the best people and to create an inclusive, welcoming and nurturing work environment where all feel they are valued, belong and are able to professional advance. We share the belief that all employees, regardless of job title or expertise contribute to the patient experience and quality of patient care.\n\nExplore more about this opportunity and how you can help us write a new chapter in our history!\n\n\"About the Mount Sinai Health System:\n\nMount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 43,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time - discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients' medical and emotional needs at the center of all treatment. The Health System includes approximately 7,400 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high \"Honor Roll\" status, and are highly ranked: No. 1 in Geriatrics and top 20 in Cardiology/Heart Surgery, Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report's \"Best Children's Hospitals\" ranks Mount Sinai Kravis Children's Hospital among the country's best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 14 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek's \"The World's Best Smart Hospitals\" ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally.\n\nThe Mount Sinai Health System is an equal opportunity employer. We comply with applicable Federal civil rights laws and does not discriminate, exclude, or treat people differently on the basis of race, color, national origin, age, religion, disability, sex, sexual orientation, gender identity, or gender expression. We are passionately committed to addressing racism and its effects on our faculty, staff, students, trainees, patients, visitors, and the communities we serve. Our goal is for Mount Sinai to become an anti-racist health care and learning institution that intentionally addresses structural racism.\"\n\nEOE Minorities/Women/Disabled/Veterans",
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      "title": "Machine Learning Engineer - Bloomberg Law",
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      "description": "Machine Learning Engineer - Bloomberg Law\n\nOur Team...\nBloomberg Law is changing the legal industry by delivering the most sophisticated research platform on the market with a focus on automation, analytics and real-time answers! Our goal is to become an indispensable tool for legal professionals by supporting their day-to-day tasks and providing solutions that help them get real-time answers and better serve their clients.\n\nWithin Bloomberg Law (BLAW), the BLAW Machine Learning Team is the central machine learning engineering team with 10 machine learning engineers working with groundbreaking technologies to build data-driven customer-facing products using Natural language processing (NLP), Information extraction (IE) and Machine Learning (ML) techniques such as named entity disambiguation, text classification, clustering and topical modeling, text summarization and personalized recommendations. 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      "description": "About us: EvolutionIQ’s mission is to improve the lives of injured and disabled workers and enable them to return to the workforce, saving billions of dollars in avoidable costs and lost productivity to the US and global economies and make insurance more affordable for everyone. We are currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to... help build and scale internally, and transform the insurance space. We’re backed by First Round Capital, FirstMark Capital, Foundation Capital, Brewer Lane Ventures, and have been named as Inc.’s top places to work!\n\nWe're on a mission to build the world's leading AI platform that will transform the insurance industry making insurance better, faster and cheaper for everyone. We develop machines with deep comprehension and vast data access to guide humans to the optimal decisions and enable them to handle enormous numbers of claims. We pair the predictive insights with an intuitive and easy to use web application that handles complex claim summarization, guidance and investigation workflows. The result is potential savings in the hundreds of millions, and added precision to insurance pricing.\n\nOur Team: We are founded by a senior Google AI expert and a Bridgewater Associates Algorithmic Investor & Stanford MBA. We’re not looking for employees. We’re looking for partners in work, partners in culture-building, and partners in the future of data-driven insurance. The development team consists of world class engineers and leaders from companies like Google and Bloomberg. Each individual has had great success building large scale enterprise software and is now excited to try their hand at transforming the insurance industry.\n\nAbout You: You are a software engineer and a first-principles thinker who takes pride in rapidly learning new domains and technologies. Your track record demonstrates an unwavering commitment to delivering high-value solutions to customers while upholding superior technical standards. You have the ability to contribute across the whole stack and thrive in a cross-functional team. At EvolutionIQ, you will have the opportunity to broaden your technical horizons and be a part of an innovative team that is integrating cutting-edge Large Language Models (LLMs) in its AI-native products. 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For new parents returning to work we offer a flexible schedule. We also offer sleep training to help you and your family navigate life schedules with a newborn\n• Office Life: Catered lunches, happy hours, and pet-friendly office space. $500 for your in home office setup and $200/year for upgrades every year after your initial setup\n• Growth & Training: $1,000/year for each employee for professional development, as well as upskilling opportunities internally\n• Sponsorship: We are open to sponsoring candidates currently in the U.S. who need to transfer their active H1-B visa\n\nEvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees",
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