Email Alert for
ⓘ There was an unexpected error processing your request.
Please refresh the page and try again.
If the problem persists, please contact us with your issue.
You can always manage your preferences and update your interests to ensure you receive the most relevant opportunities.
Get ready to discover your next great opportunity.
Thrive
Boston, MA, United States
Thrive is a leading behavior change technology company founded by Arianna Huffington in 2016 with the mission to end the stress and burnout epidemic. Thrive helps individuals and organizations improve well-being, performance and mental resilience with its AI-powered behavior change technology platform. Thrive’s Microsteps – small, science-backed st
Job Source: ThriveAmicus Therapeutics
Boston, MA, United States
About Amicus Amicus is an AI startup dedicated to revolutionizing the professional services industry. Our mission is to automate mundane and repetitive tasks in legal firms, consulting firms, and similar sectors, freeing up professionals to focus on higher-value activities. Our innovative approach leverages the latest in AI technology to create so
Job Source: Amicus TherapeuticsDrift
Boston, MA, United States
About Drift Drift®, the Conversation Cloud company, helps businesses connect with people at the right time, in the right place with the right conversation. Using the Drift Conversation Cloud, businesses can personalize experiences that lead to more quality pipeline, revenue and lifelong customers. Drift brings Conversational Marketing, Conversatio
Job Source: DriftZoox
Boston, MA, United States
At Zoox, you will collaborate with a team of world-class engineers with diverse backgrounds in areas such as AI, robotics, mechatronics, planning, control, localization, computer vision, rendering, simulation, distributed computing, design, and automated testing. You'll master new technologies while working on code, algorithms, and research in your
Job Source: ZooxHarvard University
Cambridge, MA, United States
64084BRAuto req ID:64084BRJob Code:360060 Admin Offcr/SrIndiv Contrib Department Office Location:USA - MA - Boston Business Title:Machine Learning EngineerSub-Unit:------------ Salary Grade (https://hr.harvard.edu/salary-ranges#ranges) :060Time Status:Full-time Union:00 - Non Union, Exempt or Temporary Basic Qualifications: A Master's or PhD in Co
Job Source: Harvard UniversityPison Technology
Boston, MA, United States
Pison is developing breakthrough consumer and healthcare products that are harnessing the power of the mind. We've pioneered the science of electroneurography (ENG) to non-invasively sense, analyze, and apply electrical signals coming from the brain. Our neural biosensor and artificial intelligence software are opening a new window to thousands of
Job Source: Pison TechnologyWithremark
Boston, MA, United States
Remark is reshaping the e-commerce landscape by harnessing the power of AI and personalized support to solve a critical problem: the low conversion rates plaguing online shopping. Our platform connects shoppers with trained product experts, using AI to enhance every interaction and turn browsing into buying. With Remark, we're not just selling prod
Job Source: WithremarkSuno
Boston, MA, United States
About Suno At Suno, we are building a future where anyone can make music. You can make a song for any moment with just a few short words. Award-winning artists use Suno, but our core user base consists of everyday people making music — often for the first time. We are a team of musicians and AI experts, including alumni from Spotify, TikTok, Me
Job Source: SunoBoston, MA, United States
About us:
VideaHealth is a cutting-edge AI-powered solution for dentistry, developed by a team of seasoned leaders, engineers, AI scientists, and clinicians spun out of MIT. Our vision is to be the first company to diagnose a billion people globally. Our product is already used by thousands of dental clinicians to improve the quality of care through faster diagnoses, increase operating efficiencies, and improved patient understanding. About the position:
We are looking for a Staff ML Engineer to join our team to execute on ambitious milestones and influence our product direction. In this role you will own the design and implementation of infrastructure for reliable and highly performant deep learning and analytics pipelines. The main focus is on detection and classification of dental conditions from medical images but AI expertise beyond computer vision is a plus. You will play a critical role in defining and executing processes for managing large amounts of data and for performing effective evaluations of the clinical efficacy of our algorithms.
In your role as Staff ML Engineer you will become part of exciting collaborations with researchers, physicians, and regulatory bodies. You will collaborate with company advisors from MIT and Harvard whose expertise span machine learning, medical imaging, and getting products successfully through FDA. We are looking for an individual with an exceptional Machine Learning background and track record of proven delivery who is not shy to take on extensive responsibilities. You will be able to contribute and grow your technical skills by building end to end highly impactful software medical devices that impact the lives of millions of people. Your contributions will play a key role in building a great company from an early stage. Requirements M.S. or PhD in Computer Science, Machine Learning or related field.
7+ years of hands-on development building deep learning and/or data pipelines
Exceptional Python development skills
Extensive experience with at least one deep learning framework (e.g. PyTorch, TF, Keras), including experience customizing these frameworks to meet the bespoke needs of particular problems
Experience working with cloud based platforms / providers (e.g. AWS)
Experience applying business context to drive effective decision-making in data science problems
Strategic communication and collaboration skills
Proactive, ambitious, and fast learner
Leadership or mentorship experience
Preferred Proven track record of high quality software development (e.g. on GitHub)
Publications or blog posts displaying excellent writing on data science or machine learning topics
Experience in reading & implementing technical research papers
Familiarity with healthtech industry
What We Offer Fast paced and collaborative work culture in which you can gain experience, grow your technical skills and work on a wide variety of challenges over your time with us
Competitive pay, equity and benefits.
Agile organization where being at a staff level translates to being a mentor and role model for others. We lead by example.
Technical challenges on the leading edge of innovation where software and machine learning
VideaHealth is supported by some of the best investors in the world, having raised over $27M in Venture Capital from Tier 1 investors such as Spark Capital (Twitter, SnapChat, SmileDirectClub), Zetta Venture (Kaggle), and Pillar VC (PillPack), as well as angel investors such as Frederic Kerrest (Co-founder of Okta). Our work has been featured in TechCrunch, Wall Street Journal, and many other outlets.
If you want to join a breakthrough healthtech company and help accelerate its impact and growth, we encourage you to apply for this exciting opportunity!
Pay Range: $85,000 - $200,000
Email Alert for Staff Machine Learning Engineer jobs in Boston, MA, United States
ⓘ There was an unexpected error processing your request.
Please refresh the page and try again.
If the problem persists, please contact us with your issue.
You can always manage your preferences and update your interests to ensure you receive the most relevant opportunities.
Get ready to discover your next great opportunity.