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Rippling
San Francisco, CA, United States
About Rippling Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system. Take onboarding,
Job Source: RipplingDoorDash
San Francisco, CA, United States
At DoorDash, we're building the on-demand logistics engine of the future. We strive to empower local economies by helping businesses grow, creating flexible earnings opportunities, and connecting you to what you love. We are building foundational Data Platforms, ML Platform, Experimentation and Decision Systems /Frameworks which the product teams a
Job Source: DoorDashPenn Foster
San Francisco, CA, United States
If you're good at what you do, you can work anywhere. If you're the best at what you do, come work for Doma. Want to infuse a $34B sector of the insurance and real estate industry with predictive analytics and a tech-forward customer experience? Join Doma and send an entirely new type of real estate model into the world. About Us Doma offer
Job Source: Penn FosterDoorDash USA
San Francisco, CA, United States
About the Team At DoorDash, we're building the on-demand logistics engine of the future. We strive to empower local economies by helping businesses grow, creating flexible earnings opportunities, and connecting you to what you love. We are building foundational Data Platforms, ML Platform, Experimentation and Decision Systems /Frameworks which the
Job Source: DoorDash USASnorkelAI
San Francisco, CA, United States
We’re on a mission to democratize AI by building the definitive AI data development platform. The AI landscape has gone through incredible change between 2016, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key t
Job Source: SnorkelAIAnyscale
San Francisco, CA, United States
About Anyscale: At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We're commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many m
Job Source: AnyscaleShipt
San Francisco, CA, United States
Shipt, Inc. seeks a full-time Machine Learning Engineer based in San Francisco, CA. This role will drive the development and deployment of key AI initiatives (e.g., personalization, price optimization, promotion optimization, and ad tech platform) and services (e.g., quality, efficiency, security, and affordability). This position requires a Master
Job Source: ShiptProbably Genetic
San Francisco, CA, United States
About Probably Genetic: Probably Genetic is changing the lives of patients living with severe, complex diseases. Our data platform is used by drug developers and patient advocacy groups to develop and launch treatments for these patients. Our technology discovers undiagnosed patients online, analyzes their disease state using machine learning and a
Job Source: Probably GeneticSan Francisco, CA, United States
About the Role:
Imagine directing a world-class Machine Learning team on a path towards truly personalized medicine. This could be your reality by applying for this pivotal role!
We’re looking for a Director to lead our machine learning engineering team toward the forefront of personalized medicine and help us re-write the rule book on what’s possible in healthcare.
In this role, you will work with data scientists, analysts, product managers, engineers, and others to conceptualize and implement data-driven products that help advance our mission to eliminate stigmas and break down barriers to healthcare access.
You’ll be in good company, working closely with our leading-edge Data Science team and sit within the wider Analytics and Data Science org. Giving you the opportunity to collaborate widely and work with a range of professionals in tackling novel problems. We have the data and the team, now we just need a superstar Director to guide our explosive technical development. Could that be you?
You Will:
Lead a team of four Machine Learning Engineers in developing ML solutions across marketing, product, and operations as well as specific models to tackle medical recommendations
Collaborate with data scientists, engineers, product managers, and designers to build machine-learning based systems
Help guide decisions based on your knowledge of the data and statistical applications
Tackle novel challenges in predicting and prescribing personalized medicine to individuals
Bring a broad awareness of the landscape of ML and AI-based tools for solving common end-user problems (e.g. recommendation systems, prediction, generative AI)
Guide our strategy in machine learning and data use at large
You Have:
10+ years working in data science or machine learning with a proven record of incremental changes that improved product metrics with machine learning technologies
Proven experience leading a technical team of Machine Learning Engineers or an advanced Data Science team
Solid background in machine learning fundamentals, modeling techniques and productionizing machine learning models
Intimate familiarity with modern data science and machine learning tool stack
Our Benefits (there are more but here are some highlights):
Competitive salary & equity compensation for full-time roles
Unlimited PTO, company holidays, and quarterly mental health days
Comprehensive health benefits including medical, dental & vision, and parental leave
Employee Stock Purchase Program (ESPP)
Employee discounts on hims & hers & Apostrophe online products
401k benefits with employer matching contribution
Offsite team retreats
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Email Alert for Director, Machine Learning jobs in San Francisco, CA, United States
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