21 software engineer machine learning jobs at 10 companies in Santa Paula, 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).
AmgenNASDAQ: AMGN: Develops and manufactures biotechnology medicines for serious diseases.
Expertise in machine learning, MLOps and DevOps, Python and ML libraries (TensorFlow/PyTorch/Scikit-learn), cloud platforms (AWS/GCP/Azure), experience building ML pipelines, and advanced degree or extensive CS experience per listed qualification paths.
Warner Bros. DiscoveryNasdaq: WBD: Produces and distributes multimedia entertainment content and news worldwide.
5+ YOE5+ years ML engineering experience, deep Python, Databricks and Snowflake proficiency, production ML deployment, ML evaluation and experimentation, strong software engineering and communication skills.
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.
The Walt Disney CompanyNYSE: DIS: Produces media content and operates global theme parks.
7+ YOEBachelor's in CS or related (or equivalent experience), 7+ years software engineering, 5+ years deploying ML systems, expertise in deep learning and feature engineering, cloud (AWS) and big data tech, leadership and observability experience.
Machine Learning Engineer, Generative ML , Level 5
Los Angeles or Santa Monica or New York
$209k-$313k/yrOnsiteFull Time
SnapNYSE: SNAP: Develops social media applications and augmented reality technology.
5+ YOE5+ years ML experience (post-Bachelor) or advanced degree with equivalent experience; strong software skills in Python or C++; proficiency with PyTorch or TensorFlow; ML research/engineering experience in generative models and related areas.
9+ YOE9+ years post-Bachelor ML experience (or Master’s+8 or PhD+5), 2+ years technical leadership, experience developing scalable recommendation/ranking ML systems, strong ML/deep learning background, production engineering skills.
HuMannity Medtec: Developing innovative medical technologies for unmet patient needs.
5+ YOEBachelor's degree and 5+ years working with machine learning/deep learning; experience with API integrations, workflow and document automation, generative AI, building business applications, strong problem solving and stakeholder communication.
Microsoft 365, Power Platform, Microsoft Excel, docx
Boston or New York City or Santa Monica or Washington or California or Los Angeles or San Francisco or Philadelphia or Orange County or San Diego
$134k-$237k/yrOnsiteFull Time
Goodwin Procter: Legal services for innovators and investors in high-growth industries.
Bachelor's degree required; experience with Microsoft Azure tools (Power Automate, Power Desktop, Forms, Azure AI Studio), Microsoft Azure Machine Learning, Microsoft Dynamics CRM, and Microsoft Excel; strong attention to detail and data management skills.
Microsoft Power Automate, Microsoft Power Desktop, Microsoft Forms, Microsoft Azure AI Studio, Microsoft Azure Machine Learning, Microsoft Azure, Generative AI (GenAI), Microsoft Dynamics CRM, Microsoft Excel