22 ml ops engineer jobs at 15 companies in Tracy, CA
🚀PromotedHiringCafe
ML Engineer - Inference & Model Deployment
Cupertino, CA, US
$250k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
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.
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
CoStar GroupNASDAQ: CSGP: Global provider of commercial and residential real estate data.
3+ YOEBachelor's or equivalent experience, 3+ years ML engineering focused on model optimization/deployment, proficiency in Python, ML frameworks (TensorFlow/PyTorch), cloud (AWS/Azure/GCP), Git, and strong communication.
Corvus Robotics: Fully autonomous drones for automated warehouse inventory management.
2+ YOE2-3 years building production ML infrastructure; experience with distributed data pipelines; understanding data flow from raw to trained models; ability to build from scratch or contribute to infra; thrive in ambiguous startup environment.
Kubeflow, SLURM, S3, data pipelines, distributed training
BlackLineNASDAQ: BL: Provides cloud software to automate financial close and accounting.
2+ YOE2+ years programming (Python/Java/Scala); expertise in ML frameworks and orchestration; production ML/LLM pipeline experience across GCP/AWS/Azure; LangChain/LangGraph/ADK familiarity; CI/CD, IaC, DevSecOps, observability, containerization skills.
Boston or Indianapolis or Raleigh or Charlotte or Jacksonville or Chicago or Cincinnati or Cleveland or Columbia or Kansas City or Columbus or Dallas or Las Vegas or Los Angeles or Baltimore or Birmingham or St. Louis or Salt Lake City or San Diego or San Francisco or Silicon Valley or Seattle or Stamford or Tampa or Toledo or Austin or Washington or New York or Florham Park or Philadelphia or Phoenix or Pittsburgh or Houston
$77k-$202k/yrOnsiteFull Time
PwC: Providing audit, tax, and management consulting services to businesses.
4+ YOEBachelor's degree; 4+ years software or data engineering; experience with dbt on Databricks; healthcare analytics experience; CI/CD pipelines for Databricks; Azure Databricks workspace provisioning; Python CLI tools.
Databricks, dbt, Azure Databricks, Python, YAML, argparse, CI/CD, AI agent systems
CoStar GroupNASDAQ: CSGP: Provides global real estate information, analytics, and online marketplaces.
3+ YOEBachelor's in CS/Data Science/Engineering or equivalent, 3+ years ML engineering experience with model optimization and deployment, Python, TensorFlow/PyTorch, cloud (AWS/Azure/GCP), Git, strong communication and problem-solving skills.
Skydio: Develops autonomous AI drones for defense and industrial inspection.
Experience with data engineering, cloud ML platforms, ML Ops, large-scale data pipelines, model training/deployment, and security/compliance in ML infrastructure; strong collaboration.
Cloud platforms, Containerization, ML Ops, Databases, Data pipelines
TikTok: Global short-form video hosting and social media platform.
Bachelor's in CS or equivalent; expertise in Linux, networking, storage; programming in Python, Go, C, C++, or Java; troubleshooting and production operations experience; SRE of ML systems preferred.
Lead AI Engineer -- Advanced AI (applied ML, LLMs, agentic AI, ML Ops)
Brooklyn Park or Sunnyvale
$132k-$286k/yrHybridFull Time
TargetNYSE: TGT: Operates a chain of general merchandise stores and supermarkets.
5+ YOEBachelor's in a quantitative field (MS preferred), 5+ years applied ML/AI engineering, hands-on Python and ML framework experience, LLM and agentic systems experience, production ML engineering and system design skills.
CiscoNASDAQ: CSCO: Develops and sells networking hardware and cybersecurity software.
6+ YOEDegree in CS/AI/related with significant industry experience (BS+6yrs/MS+4yrs/PhD+1yr), applied AI/ML research and production experience, software development, LLM fine-tuning, and AI-assisted coding tool proficiency.
Applied Intuition: Developing software and simulation infrastructure for autonomous vehicles.
5+ YOE5+ years in ML/infrastructure, data-centric AI, microservices; edge/cloud data pipelines; DoD interaction; US citizenship and security clearance eligibility.
AdobeNASDAQ: ADBE: Provides software for digital media creation and marketing analytics
5+ YOEPhD or MS in Computer Science or related field; 5+ years ML experience; strong programming (Python/Java); cloud experience (Azure/AWS); ML/LLM Ops; production deployments; strong communication.
onsemi: Designs and manufactures semiconductor solutions for power and sensing.
10+ YOE5+ MgmtMaster’s or PhD in Engineering/CS/DS/Business; 10+ years in product management/ownership/digital transformation; 5+ years in leadership; AI/ML or analytics in manufacturing; strong semiconductor knowledge; excellent communication.
X, The Moonshot FactoryNASDAQ: GOOGL: Develops early-stage technologies and experimental projects.
5+ YOEPhD or equivalent experience, 5+ years in ML development/ML-Ops, hands-on with LLMs, VLMs, geospatial models, experience fine-tuning deep learning models, ML frameworks (PyTorch, TensorFlow/Keras/JAX), Python libraries and GCP tooling.
Large Language Models (LLMs), Vision Language Models (VLMs), Geospatial Foundation Models, PyTorch, TensorFlow, Keras, JAX, Python, NumPy, SciPy, Pandas, Git, Apache Beam, Dataflow, Google Compute Engine, Google Cloud Platform
WalmartNYSE: WMT: Multinational retail operating discount stores and supermarkets.
5+ YOE5+ years building scalable backend systems or bachelor+3 years; experience with CI/CD, Kubernetes, containerized infra, Python/Go/Java, distributed systems, AI/ML ops, observability, and release automation.
DanaherNYSE: DHR: Develops scientific instruments and diagnostic tools for healthcare markets.
8+ YOEAdvanced experience designing, fine-tuning, and deploying LLM/GenAI and agentic systems; strong backend, cloud, and ML Ops skills; Python and distributed systems expertise.
PG&ENYSE: PCG: Provides natural gas and electric service in California.
10+ YOEBA/BS or equivalent; 10+ years data engineering/ETL experience (Palantir Foundry, Spark, Informatica, SAP BODS, OBIEE); proven data warehouse/data lake implementations; 3+ years ML ops; experience leading development teams.
Palantir Foundry, Spark, Informatica, SAP BODS, OBIEE, Snowflake, Microsoft Fabric, Power BI Dataflows, Semantic Models