84 model operations engineer jobs at 68 companies in Byron, CA
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Technical Operations Engineer, Payments
South San Francisco, California, United States
OnsiteFull Time
Stripe: Provides online payment processing and financial infrastructure for businesses.
5+ YOE5+ years in payments, SQL experience, strong financial modeling and analytical skills, experience managing cross-functional stakeholders and mentoring junior team members.
San Francisco or New York City or Portland or United States or Canada
$167k-$208k/yrHybridFull Time
Mercury: Banking services and financial software designed for startup companies.
5+ YOE5+ years in ML engineering/MLOps or backend engineering; production ML service experience; strong Python and API framework skills (FastAPI/Flask); model deployment, CI/CD, registries, observability, SQL, low-latency stores, and streaming pipelines.
Virta Health: Reversing type 2 diabetes through virtual care and nutrition.
2+ YOE2+ years agentic AI and IT operations, 4 years technical program management, hands-on generative AI deployment, API/model orchestration, Python and C++ proficiency, MCP integration, and dashboarding with Sheets/SQL/Looker.
Google Gemini, OpenAI/ChatGPT Enterprise, Microsoft Copilot, Python, C++, Model Context Protocol (MCP), Sheets, SQL, Looker, Ashby, AWS
Associate Survivability and Operations Analysis Engineer
San Jose, California, United States
$70k-$97k/yrRemoteFull Time
ArcherNYSE: ACHR: Develops electric vertical takeoff and landing aircraft for urban mobility.
2+ YOE0–2 years in aerospace or related field; BS in engineering, CS, physics, or math; MS or current enrollment; familiarity with survivability tech and modeling tools; US citizen able to obtain DoD clearance; CAD/Python/MATLAB a plus.
San Francisco or Chicago or Scottsdale or New York
$118k-$203k/yrHybridFull Time
Early Warning Services: Operates payment and risk solutions for the financial industry.
5+ YOEBachelor's in CS/Engineering; 5+ years in Data Science/ML/Ops; Python; AWS; Docker/Kubernetes; MLflow/Kubeflow; real-time model deployment; strong data/compute systems knowledge.
Artos: AI-powered regulatory document automation platform for life sciences.
5+ YOE5+ years building data pipelines and platforms using Terraform, dbt, SQL, Postgres, Redis, and AWS; fintech experience preferred; strong written technical communication and data modeling/ETL experience.
Large Language Model Inference System Engineer Graduate (Applied Machine Learning) - 2027 Start
San Jose, California, United States
OnsiteFull Time
ByteDance: Developing AI-driven content platforms and mobile applications.
Bachelor's or master's degree in computer science or related field; algorithms, data structures, operating systems, C++ or Python, GPU architecture, CUDA, and distributed systems knowledge required.
Bloom EnergyNYSE: BE: Manufactures solid oxide fuel cell systems for onsite power.
10+ YOE10+ years in manufacturing/operations/industrial engineering; systems-level production experience; capacity planning and modeling skills; strong analytical, communication, and cross-functional influence abilities.
Mira Mace: AI-powered healthcare advocacy and navigation for Medicare beneficiaries.
Deep experience building and operating healthcare integrations and revenue-cycle systems; strong backend engineering, data modeling, and security/HIPAA practices; comfortable with claims, coding, and ambiguity.
Tatari: A platform for buying and measuring TV advertising campaigns.
5+ YOE5+ years building and operating production ETL pipelines, strong Python and SQL skills, Spark/PySpark, Databricks/Delta Lake, Airflow, data modeling and data quality expertise.
Python, SQL, Spark, PySpark, Databricks, Delta Lake, Airflow, ClickHouse
Applied Intuition: Developing software and simulation infrastructure for autonomous vehicles.
Expertise building and operating perception systems for deployed autonomous vehicles; systems-level reasoning, customer-focused product ownership, diagnosing real-world model failures, and collaborating across teams.
TargetNYSE: TGT: Operates a chain of general merchandise stores and supermarkets.
MS or equivalent preferred; extensive experience designing and operating large-scale cloud-native ML platforms, Kubernetes-based infrastructure, MLOps, model governance, observability, and platform automation.
Engineering Manager, Foundation Model Inference (FMAPI)
Mountain View, California, United States
$190k-$261k/yrOnsiteFull Time
Databricks: A unified platform for data analytics and artificial intelligence.
Experience managing and scaling software engineering teams, strong technical judgment in distributed systems/AI infrastructure, track record delivering multi-quarter initiatives, operational rigor, and BS in Computer Science or related field.
OkloNYSE: OKLO: Developing advanced fast fission nuclear power plants.
3+ YOE3+ years in engineering/product/operations or similar; experience improving cross-functional workflows and operating models; strong written/verbal communication; ability to work with senior leadership and operate independently in ambiguity.
SoFiNasdaq: SOFI: Mobile-first platform for banking, lending, and investment services.
7+ YOE7+ years building and operating ML detection/anomaly models in production, strong Python and SQL skills, experience with data lake big-data tech and security telemetry, bachelor’s degree or equivalent.
CoherentNYSE: COHR: Manufactures lasers, engineered materials, and optical networking components.
2+ YOEBS (5 yrs) or MS/PhD (2 yrs) in EE/CS/Physics/Photonics; proven AI/ML model development and deployment experience; proficiency with TensorFlow, PyTorch, scikit-learn, Python, C/C++; cloud and on-prem inference experience; photonics/manufacturing domain knowledge preferred.
Crusoe: Provides energy-efficient cloud infrastructure powered by stranded and renewable energy.
4+ YOE4+ years in manufacturing operations, supply chain, or industrial engineering; strong Excel modeling skills; experience scaling operations; cross-functional communication and program management skills; comfortable using AI tools.
Microsoft Excel, ERP, MRP, AI tools, value stream mapping, lean manufacturing