PromotedHiringCafe
ML Engineer - Inference & Model Deployment
Cupertino, CA, US
$250k-$310k/yr On-SiteFull Time
Turn powerful AI and ML models into fast, reliable production systems. Own inference latency, throughput, model-serving architecture, multi-GPU systems, and production deployment for millions of users.
Python, PyTorch, vLLM, SGLang, TensorRT, LLMs
PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yr On-SiteFull Time
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
Python, PyTorch, Elasticsearch, LLMs
2w
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Machine Learning Engineer, Marketplace
San Francisco or New York City or London
$130k-$500k/yr OnsiteFull Time
Experience shipping ML systems; expertise in ranking, recommendation, search, or matching; comfortable across applied ML stack (data, features, training, inference); strong engineering fundamentals and product impact focus.
Python, Go, embeddings, fine-tuning, RAG, Kafka, Postgres, Redis, Elasticsearch, Kubernetes, Terraform
3w
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Staff Machine Learning Engineer
San Francisco, California, United States
$273k-$345k/yr OnsiteFull Time
10+ YOE10+ years MLE experience; deep expertise applying transformers to robotics/spatio-temporal data; multimodal, sensor-fusion, and model optimization experience; proficiency in PyTorch or JAX, Python, and C++.
PyTorch, JAX, Python, C++, TensorRT, CUDA, Birds-Eye-View (BEV)
1w
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Machine Learning Engineer
Palo Alto, California, United States
$165k-$185k/yr RemoteFull Time
4+ YOE4+ years applied ML/LLM engineering with strong Python, production model deployment, model fine-tuning and evaluation, Git proficiency, and experience with AI-assisted development tools.
Python, Git, Claude Code, OpenAI's Codex, Cursor
5d
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Machine Learning Research Engineer, Applied Research
Redwood City, California, United States
$140k-$240k/yr HybridFull Time
Strong Python and PyTorch skills, track record delivering research prototypes, experimental instincts with imperfect data, excellent communication, and ability to own end-to-end applied research projects.
Python, PyTorch, WeatherMesh
1w
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Machine Learning Engineer - Quality Intelligence
San Francisco, California, United States
$200k-$300k/yr OnsiteFull Time
3+ YOE3–6 years relevant experience; strong software engineering and applied ML background; experience shipping production systems and working with messy real-world data; strong data intuition and cross-team collaboration skills.
1mo
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Senior Staff, Machine Learning Engineer
Redwood City, California, United States
HybridFull Time
6+ YOE6+ years software development; 4+ years applying machine learning to real problems; strong ML background; proficient in SparkML, TensorFlow, PyTorch, Keras; knowledge of distributed systems.
Scala, Python, MongoDB, Redshift, Druid, Airflow, Jenkins, Spark, SparkML, Kinesis, TensorFlow, PyTorch, Keras
3mo
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Sr. Machine Learning Engineer, Responsible AI– Applied Research Science
San Francisco or United States
$190k-$332k/yr RemoteFull Time
4+ YOE4+ years in ML engineering on production systems; 1+ year cross-team leadership; Masters or PhD in CS or related field; strong fairness/responsible AI focus.
Cursor, Copilot, Codex, LLM productivity tools, SQL
2w
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Senior / Staff Machine Learning Engineer, Applied AI
Cambridge or San Francisco
$180k-$336k/yr OnsiteFull Time
Strong ML engineering with LLM experience; expertise in training, adapting, evaluating, and deploying models; proficiency in Python and modern ML frameworks; ability to design experiments and debug model behavior.
Python, PyTorch, JAX, TensorFlow, Megatron-LM, TorchTitan, DeepSpeed, Ray
1mo
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Machine Learning Engineer, Simulation Evaluation
Mountain View or San Francisco
$213k-$263k/yr OnsiteFull Time
5+ YOEBachelor's/Master's/PhD in CS/ML/robotics, 5+ years ML engineering/applied deep learning experience, proficiency in Python and JAX/Flax/PyTorch, and experience designing evaluation frameworks.
Python, JAX, Flax, PyTorch, C++
1mo
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Machine Learning Engineer
Fremont, California, United States
$150k-$220k/yr HybridFull Time
3+ YOEBachelor's in CS/EE/Applied Math (advanced preferred), 3+ years building ML models, experience with computer vision and time-series ML, strong Python and PyTorch skills, production ML pipelines and deployment experience, ability to communicate technical tradeoffs.
Python, C++, PyTorch, AWS S3, Flow, Assure, Sapphire
1w
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Applied AI, Forward Deployed Machine Learning Engineer
Palo Alto or San Francisco
OnsiteFull Time
2+ YOEPhD or master in AI/data science,2+ years technical experience,LLM fine-tuning and RAG/agent experience,API and product deployment,Python and PyTorch proficiency,strong communication;fluent English.
Python, PyTorch, Langchain, vector DBs
4d
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Senior Machine Learning Engineer, Agent Oversight
San Francisco or New York City
$216k-$270k/yr OnsiteFull Time
5+ YOE5+ years as an ML engineer or applied scientist with production ML/LLM systems; experience building evaluation/monitoring or continuous-learning infrastructure; strong experimentation and collaboration skills.
LLMs, RLHF, SFT
1mo
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Machine Learning Engineer III, Search Relevance
Redwood City, California, United States
$176k-$220k/yr HybridFull Time
3+ YOE3+ years building backend or distributed systems; proficiency in Java/Scala/C++/Python; experience with search, ranking, or applied ML; familiarity with data pipelines (Kafka/Pub/Sub), cloud microservices, and CI/CD; BS in CS or equivalent.
Java, Scala, C++, Python, Kafka, Pub/Sub, Elasticsearch, Solr, Lucene, Kubernetes, Terraform, GCP, AWS, Azure, PyTorch, TensorFlow, CI/CD
3w
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Applied Machine Learning & Data Engineering Senior Consultant II
San Francisco or Los Angeles or New York City or Illinois or Indiana or United States
$130k-$150k/yr RemoteFull Time
3+ YOE3+ years experience with Python and SQL, generative AI/LLMs, data transformation and pipeline development, DevOps/CI-CD, Azure familiarity, strong stakeholder communication and ability to work in ambiguous environments.
Python, SQL, C#, Azure, LangChain, Microsoft .NET, JSON, APIs, CI/CD, LLMs
6d
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Lead Machine Learning Engineer
San Francisco or Seattle or Santa Monica
$188k-$252k/yr HybridFull Time
7+ YOE7+ years building and deploying ML models, strong background in recommender systems, applied ML/AI/LLM experience, proficiency with PyTorch, TensorFlow, Databricks, Spark, and SQL, strong communication skills.
PyTorch, TensorFlow, Databricks, Spark, SQL
4d
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Senior Machine Learning Engineer, Recommendations
San Francisco, California, United States
$170k-$230k/yr OnsiteFull Time
5+ YOEBachelor's in quantitative field required (advanced degree preferred); 5+ years applied ML/ML engineering; 3+ years in recommendations/ranking; expert Python and ML libraries; experience with SQL, AWS, MLflow; strong experimentation skills.
Python, PySpark, PyTorch, TensorFlow, Scikit-learn, SQL, AWS, EC2, S3, MLflow, AWS OpenSearch, Algolia
1mo
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Machine Learning Research Engineer
Livermore, California, United States
$146k-$223k/yr HybridMultiple Commitments Available
MS in CS/Applied Math/Statistics or related; ML research experience; familiarity with PyTorch/TensorFlow; ability to work in multidisciplinary teams.
PyTorch, TensorFlow, High Performance Computing, GPU programming
3mo
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Senior Machine Learning Engineer, Multimodal AI
San Francisco, California, United States
OnsiteFull Time
Experience building production AI systems with LLMs, OCR, and unstructured data; shipping applied AI products; Python; AWS/serverless; analytical and collaborative.
Python, AWS, LLM, OCR, Serverless, APIs
2w
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Principal Machine Learning Engineer (Reconstruction / Quantitative Imaging)
San Francisco, California, United States
OnsiteFull Time
Strong applied ML experience with imaging or signal processing, ability to move between research prototypes and production systems, strong evaluation discipline, and experience applying ML to physics-based/inverse problems.
PiNNs, Neural Operators, Agentic-SciML, GPU, Kalman filtering
2mo
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Sr. ML Engineer – ML & Applied AI
San Francisco, California, United States
OnsiteFull Time
10+ YOE10+ years in machine learning or software engineering; production ML systems; Python; ML frameworks; CI/CD; cloud; Spark; Databricks; Docker; Kubernetes.
Python, scikit-learn, XGBoost, PyTorch, TensorFlow, FastAPI, Flask, Docker, Kubernetes, GCP, AWS, Azure, Spark, PySpark, Databricks, Git, SQL
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