Senior Machine Learning Engineer, Platform

4 weeks ago


San Francisco, California, United States Databricks Full time
About the Role

Mosaic AI, now part of Databricks, is seeking an experienced machine learning platform engineer to build out our generative AI platform for the ML model development lifecycle, including pre-training of large language models (LLMs), fine-tuning, evaluation, and serving.

You will thrive in this role if you have a strong sense of end-to-end ownership and enjoy translating user requirements into product interfaces and building the backend distributed systems to power those interfaces.

In this role, you will have the opportunity to contribute to all areas of our stack, including our CLI and SDK interfaces, backend APIs, distributed orchestration systems built on Kubernetes, and core platform infrastructure to support our product.

Key Responsibilities
  • Play a key role in the end-to-end design and implementation of our product, a platform for powering use cases across training and serving of generative AI models
  • Work closely with both ML researchers in the company and customers to identify key areas of development for our generative AI platform
  • Have strong end-to-end product ownership, translating product requirements into user interfaces and backend distributed system design as well as own the implementation of these designs
  • Design and build the core platform infrastructure that supports our customer-facing product features
  • Ensure the reliability, security, and scalability of the backend distributed systems that power all aspects of our product
Requirements
  • 5+ years of full-time industry experience
  • Strong software engineering skills
  • Experience building large-scale distributed systems
  • Experience building ML platform systems for applications in the ML model development lifecycle, such as model training, data preparation, model evaluation, and model serving
  • Direct experience developing ML models is a plus but not required
  • Strong sense of end-to-end product ownership as well as intuition for both robust system design and product usability
  • Effective communication skills and the ability to articulate complex technical ideas to cross-disciplinary internal and external stakeholders
What We Offer

Databricks is committed to fair and equitable compensation practices. The pay range for this role is $166,000-$225,000 USD, and the total compensation package may also include eligibility for annual performance bonus, equity, and benefits.

We value candidates who are curious about all parts of the company's success and are willing to learn new technologies along the way.



  • San Francisco, California, United States Faire Inc Full time

    About FaireFaire is an innovative online wholesale marketplace that empowers independent retailers to thrive in a rapidly changing retail landscape. Our mission is to level the playing field for small businesses by leveraging the power of technology and data.At Faire, we're passionate about using machine learning to drive business growth and create a more...


  • San Francisco, California, United States DataBricks Full time

    About the RoleWe are seeking an experienced Senior Machine Learning Engineer to join our team at Databricks. As a key member of our platform engineering team, you will play a critical role in designing and implementing our generative AI platform for the ML model development lifecycle.Responsibilities:Design and implement the core platform infrastructure that...


  • San Francisco, California, United States Discord Full time

    About the RoleWe are seeking a highly skilled Senior Software Engineer to join our Machine Learning Platform team at Discord. As a key member of our team, you will be responsible for designing and building the platform that ML engineers and data scientists use to understand and delight Discord's users and keep them safe.Key ResponsibilitiesDesign and build...


  • San Francisco, California, United States Databricks Full time

    Mosaic AI, now part of Databricks, is seeking an experienced machine learning platform engineer to build out our generative AI platform for the ML model development lifecycle.The ideal candidate will have a strong sense of end-to-end ownership and enjoy translating user requirements into product interfaces and building the backend distributed systems to...


  • San Francisco, California, United States Databricks Full time

    About the Role:We are seeking a highly skilled Senior Staff Machine Learning Engineer to join our team at Databricks. As a technical lead, you will oversee and supervise projects and engineers on the team, playing a key role in building our Generative AI platform and products.Key Responsibilities:Design and implement our ML infrastructure and GenAI platform...


  • San Francisco, California, United States Databricks Full time

    Pioneering a cutting-edge Generative AI platform, Databricks is seeking a highly skilled Senior Staff Machine Learning Engineer to spearhead the development of our ML infrastructure and drive our technology vision & roadmap.Key Responsibilities:• Oversee projects and engineers, ensuring seamless collaboration and technical excellence.• Design and...


  • San Francisco, California, United States Unreal Gigs Full time

    Job OverviewWe're seeking a seasoned Senior Machine Learning Infrastructure Engineer to lead the design, development, and optimization of our machine learning infrastructure. As a key member of our team, you'll work on challenging projects, from building scalable data pipelines to deploying and managing machine learning models in production environments.Key...


  • San Francisco, California, United States Databricks Full time

    About the Role:We are seeking a highly skilled Senior Staff Machine Learning Engineer to play a key role in building our Generative AI platform and products. As a technical lead, you will oversee and supervise projects and engineers on the team, driving our technology vision and roadmap.Key Responsibilities:Design and implement our ML infrastructure and...


  • San Francisco, California, United States WEX Full time

    About the RoleWe are seeking a highly motivated Senior Machine Learning Engineer to join our AI Engineering team at WEX. As a key member of our team, you will design, implement, train, and maintain machine learning algorithms and ML system pipelines. You will work closely with our AI platform team and line of business engineering teams to integrate AI...


  • San Francisco, California, United States Uber Full time

    About the RoleAre you a passionate Machine Learning Engineer who thrives in fast-paced environments and enjoys building impactful solutions that shape the future of transportation?At Uber, we're looking for a talented Senior Machine Learning Engineer to join our Driver Pricing team and be at the forefront of developing machine learning models that optimize...


  • San Francisco, California, United States Fieldguide Full time

    About Us:Fieldguide is a pioneering company that's revolutionizing the audit and advisory industry by automating and streamlining the work of assurance and audit practitioners, particularly in cybersecurity, privacy, and ESG. Our mission is to establish a new state of trust for global commerce and capital markets.We're a remote-first company based in San...


  • San Francisco, California, United States Databricks Full time

    Mosaic AI, now part of Databricks, is seeking an experienced machine learning platform engineer to build out our generative AI platform for the ML model development lifecycle, including pre-training of large language models (LLMs), fine-tuning, evaluation, and serving.You will thrive in this role if you have a strong sense of end-to-end ownership and enjoy...


  • San Francisco, California, United States Discord Full time

    Machine Learning Platform Software EngineerDiscord is a leading platform for gamers and communities, with over 200 million active users each month. Our platform plays a unique role in the future of gaming, and we're looking for a skilled software engineer to join our Machine Learning Platform team.This position is responsible for designing and building the...


  • San Jose, California, United States Tik Tok Full time

    Job Title: Senior Machine Learning EngineerAbout the Role:We are seeking a highly skilled Senior Machine Learning Engineer to join our Developer Infrastructure team at TikTok. As a key member of our team, you will be responsible for developing and deploying machine learning systems that enable our developers to build large-scale applications with...


  • San Francisco, California, United States EPAM Full time

    Job DescriptionWe are seeking a highly skilled Data Science Expert to join our team at EPAM. As a key member of our digital platform engineering and development services, you will collaborate with multi-national teams to deliver innovative projects that drive cutting-edge solutions.Your primary responsibilities will include:Developing and optimizing data...


  • San Francisco, California, United States Sephora Full time

    Job Summary: We are seeking a highly skilled Senior Machine Learning Engineer to join our team at Sephora. As a key member of our technology group, you will be responsible for driving the operationalization of AI/ML initiatives across the enterprise. This is an exciting opportunity to work on a broad set of domains that power a data-driven transformation of...


  • San Francisco, California, United States IFTTT Full time

    Job Title: Senior Machine Learning EngineerAt IFTTT, we're seeking a highly skilled Senior Machine Learning Engineer to join our team. As a key member of our AI team, you will be responsible for designing and implementing machine learning models to build personalized features and enhancements in partnership with stakeholders.You will work closely with...


  • San Jose, California, United States Tik Tok Full time

    Job Description:At TikTok, we're seeking a highly skilled Senior Machine Learning Engineer to join our Developer Infrastructure team. As a key member of our team, you will be responsible for leading the development of machine learning algorithms and systems, fine-tuning and training machine learning models, and iterating on the machine learning system using...


  • San Jose, California, United States Tik Tok Full time

    Developer Infrastructure TeamWe are seeking a highly skilled Machine Learning Engineer to join our Developer Infrastructure team at TikTok. As a senior member of our team, you will play a key role in developing and maintaining our machine learning systems, including key computing development, task scheduling, and machine learning system management and...


  • San Francisco, California, United States NextEra Energy Full time

    Job SummaryWe are seeking a highly skilled Senior Software Development Engineer to join our team in San Francisco, CA. As a key member of our software development team, you will be responsible for designing, developing, and implementing machine learning models and algorithms that drive automated PV system design within our platform.You will work closely with...