184 software engineer machine learning jobs at 110 companies in Vallejo, CA
🚀PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yrOn-SiteFull Time
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.
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Help us build a 100× better job search engine. We need a full-stack engineer with great taste, sharp fundamentals, and a track record of shipping polished product on React/Next.js plus a real backend (Firebase, Elasticsearch, Redis, Stripe).
Uber Freight: Digital marketplace connecting shippers with trucking carriers.
5+ YOE5+ years ML engineering experience; deploy ML models at scale; experience with PyTorch/TensorFlow/Scikit-Learn/Spark MLlib; Python, Go, or Java; strong ML theory and production experience.
Match GroupNASDAQ: MTCH: Operates a portfolio of global online dating applications.
2+ YOE2+ years in ML or software engineering; strong CS fundamentals; Python plus another language; capable of building and deploying ML systems; good communication.
Poshmark: Social marketplace for buying and selling secondhand fashion.
2+ YOE2-3 years of software engineering experience with data-intensive applications; strong ML concepts; experience with Spark, SQL; backend API development; willing to adopt new tech.
Shipt: Provides same-day delivery services from local retailers via app.
5+ YOE5+ years of machine learning and backend software engineering; backend in Go/Java and Python; embeddings, similarity search, ranking models; ML pipelines; distributed systems; SQL/NoSQL; API serving; A/B testing.
DocuSignNASDAQ: DOCU: Provider of e-signature and intelligent agreement management software.
5+ YOE5+ years ML or software engineering experience, expertise in distributed systems, ML lifecycle, LLMs and RAG, production model deployment, Python and PyTorch experience.
Mariana Minerals: Building software-first infrastructure to produce and refine critical minerals.
0+ YOE0–4 years ML or scientific computing experience; strong ML fundamentals and deep learning exposure; reinforcement learning a plus; proficiency in Python; ability to debug codebases and collaborate with process/chemistry experts.
Beast Industries: Produces digital media and consumer goods for MrBeast brands.
8+ YOE8+ years in software or ML engineering with production ML deployment experience, strong Python and software engineering skills, systems design experience, experimentation-driven decision making, and mentorship ability.
Casap: A building AI-native disputes automation and fraud prevention platform.
3+ YOE3+ years designing and deploying ML models in production; strong ML algorithms and data analysis; building ML infra; Python/R and ML frameworks (TensorFlow, PyTorch, scikit-learn).
Warner Bros. DiscoveryNasdaq: WBD: Produces and distributes multimedia entertainment content and news worldwide.
5+ YOE5+ years ML engineering experience, deep Python and production ML expertise, Databricks and Snowflake proficiency, AWS SageMaker experience, strong software engineering and technical leadership, Bachelor's degree in quantitative field or equivalent.
Rippling: Unified platform managing workforce HR, IT, and finance operations
Currently enrolled in an M.Sc. or Ph.D. in computer science or related field; strong backend programming skills (Python, PySpark, PyTorch); ML experience, LLM familiarity preferred; excellent communication and learning mindset.
Seattle or Santa Monica or Glendale or San Francisco
$149k-$199k/yrHybridFull Time
The Walt Disney CompanyNYSE: DIS: Produces movies, operates theme parks, and provides streaming services.
5+ YOE5+ years software/ML engineering experience, BS/MS in CS or equivalent, strong Java skill, experience with large-scale ML/DL platforms and LLM tools, good communication and problem-solving.
Allocate: A that provides a data-rich platform for discovering, modeling, and managing private market investments.
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.
PinterestNYSE: PINS: Visual discovery engine for finding inspiration and creative ideas.
4+ YOE4+ years industry experience, strong production Python, statistics and ML fundamentals, experience with adtech/CTV/RTB preferred, familiarity with LLMs and model deployment/monitoring, Bachelor's in CS/Math/Engineering or equivalent.
EvenUp: AI-powered document generation and analysis for personal injury law.
5+ YOE5+ years building and deploying production ML systems; strong software engineering with Python, distributed systems, API design; ownership of full ML lifecycle; experience with NLP/LLMs preferred.
Poesis: AI-native investment manager building foundation models for equity markets.
5+ YOE5+ years ML engineering experience, strong Python and SQL, production ML deployment, experiment design, reproducible research workflows, familiarity with LLMs and coding agents. BS/MS/PhD in CS or related or equivalent experience.
Python, SQL, PyTorch, TensorFlow, Claude Code, Codex, LLMs
Helsinki or San Francisco or Seoul or Shanghai or London
OnsiteFull Time
Supercell: Develops and publishes free-to-play mobile strategy and action games.
Deep ML expertise with a track record of taking ML systems into production at large scale, strong software/data engineering skills, experience with low-latency serving, collaboration and communication skills, and passion for games.
Python, Databricks, SQL, Spark, Redis, Tecton, AWS, GCP, PyTorch, Ray, TensorFlow, ONNX, Databricks Spark, Ray train, Ray serve, FastAPI, Triton inference, Docker, Kubernetes, Terraform, Kubeflow, GitHub Actions, Grafana, Prometheus, Weights and Biases, MLflow, Claude Code, Codex
UnityNYSE: U: Provides software for creating real-time 3D interactive content.
5+ YOE5+ years in software/ML engineering with on-device or performance-critical systems; production deployment of transformer/diffusion models on-device; experience with inference runtimes, quantization, operator fusion, and GPU/compute APIs; strong Python; communication and mentoring skills.