Machine Learning Engineer
San Francisco, CAFull-timePosted todayStill listed today
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At a glance
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Job overview
The Machine Learning Engineer will build and deploy models for memory retrieval, ranking, and contextual understanding. The role includes creating scalable ML infrastructure and training pipelines, deploying and monitoring production models, and optimizing performance and latency for real-time systems. The engineer will work with vector databases and embedding systems and collaborate with the research team to productionize new algorithms.
Skills & qualifications
Skills
Qualifications
Full job description
Build and deploy ML models for memory retrieval and contextual understanding. Create scalable ML infrastructure that powers intelligent memory systems.
What You'll Do
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Design and implement ML models for memory retrieval and ranking
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Build ML infrastructure and training pipelines
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Deploy and monitor models in production at scale
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Optimize model performance and latency for real-time systems
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Work with vector databases and embedding systems
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Implement MLOps best practices and monitoring
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Collaborate with research team to productionize new algorithms
What We're Looking For
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4+ years of ML engineering experience
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Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow)
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Experience deploying ML models to production
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Knowledge of MLOps, model serving, and monitoring
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Understanding of NLP, embeddings, and retrieval systems
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Experience with cloud platforms (AWS, GCP) and containers
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Strong software engineering fundamentals
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Experience with large-scale data processing
Nice to Have
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Experience with large language models and prompt engineering
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Knowledge of vector databases (Pinecone, Weaviate, Milvus)
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Experience with recommendation systems or search
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Background in information retrieval or ranking systems
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Knowledge of model optimization and quantization
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Experience with real-time ML systems
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Familiarity with transformer architectures
How this job compares
Set against the 6,204 open Machine Learning Engineer jobs on Olive Jobs, counted November 7, 2026.
- Pay
- This postingNot listed
- California median$179–263K/yr1,442 salary ranges
- California median$53–70/hr34 hourly ranges
- Openings
- Olive Jobs lists 1,918 open Machine Learning Engineer jobs in California and 6,204 across the US. 8% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 4 years of experience; Machine Learning Engineer postings that state a minimum ask for 5 years at the median (4,888 postings).
- Education
- 2,154 of the 6,204 open Machine Learning Engineer jobs (35%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 7, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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