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.
Proprius
San Francisco, CA, United States
Machine Learning Engineer Location: San Francisco, CA Sponsorship: No Relocation: No Industry: Machine Learning Join an artificial intelligence company in San Francisco that excels at visual recognition and is looking for a new ML engineer to join their team. Become part of a collaborative team that tackles research problems through a process
Job Source: PropriusNssfed
San Francisco, CA, United States
We is working on a project that tackles the problem of artificial intelligence integration to an existing product. As an ML developer, you will be responsible for designing, developing, and implementing cutting-edge artificial intelligence solutions in our product. Your expertise in AI/ML algorithms, machine learning, and data analysis will play a
Job Source: NssfedProbably 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 GeneticTome
San Francisco, CA, United States
About the role Tome is bringing storytelling into the modern era by constantly narrowing the gap between what creators mean to express and what their audiences experience. The next innovative leap in our journey is adding the latest AI/ML capabilities to Tome's existing magic. To enable that, the team is looking to hire an ML Engineer to build Tome
Job Source: TomeQuilt.app
San Francisco, CA, United States
At Quilt, we're using LLMs and other AItools to automate the future of technical selling. LLMs are capable of miracles, but without careful control and context they are just token-vomiting parrots. As a Machine Learning Engineer, you will use state of the art models and techniques to build the intelligence behind Quilt. What You Will Do Fine tune
Job Source: Quilt.appCoactive AI
San Francisco, CA, United States
Coactive makes it easy to search, filter, and analyze visual content. Increasingly image and video data captures the content we watch, the products we buy, and the work we do, and already represents 80% of internet traffic. But rather than being an asset, visual content is often a tax or even a liability because it is so hard to work with and under
Job Source: Coactive AIShipt
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: ShiptCorelight
San Francisco, CA, United States
By making evidence the heart of security, we help customers stay ahead of ever-changing cyber-attacks. Corelight is a cybersecurity company that transforms network and cloud activity into evidence. Evidence that elite defenders use to proactively hunt for threats, accelerate response to cyber incidents, gain complete network visibility and create
Job Source: CorelightSan Francisco, CA, United States
MUST have experience with Retrieval-Augmented Generation. Please do not apply to this position without this experience.
5 years experience as an engineer
o Could be tech / F500 or start-ups, ideally start-up should have some ML/data focus
o Experience with working on non-mature infrastructure (some big-tech candidates have only used internal tools)
o Must be Python literate
Open sourced any projects while working professionally
o Evidence of thinking more “globally” in scope
Evidence of promotions (ideally Senior+)
Focus on data systems / ML Ops
o Supporting model deployments (k8s, Cloud native tools (elastic beanstalk, cloud run), docker, etc.)
o Database optimization (SQL / noSQL, postgres, mysql, mongo, cockroach, dynamodb, could include full search tools: elastic, algolia, or vector DBs etc.)
o Big data tooling (BigQuery/snowflake/redshift/athena/presto/trino, structures like parquet/iceburg etc.)
o Orchestration (dagster, airflow, step functions)
Evidence of “systems” design and thinking
o End-to-end projects that often span teams + require a lot of buy-in
o Complete product, i.e. recommender, RAG system, automated trading system, etc.
#J-18808-Ljbffr
Email Alert for Machine Learning Engineer jobs in San Francisco, CA, 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.