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Software Engineer Mle Jobs in California (NOW HIRING)

Own one core technical domain deeply (DevOps, MLE, systems design, Rust, algorithms, or full-stack ... Strong software engineering fundamentals alongside the specialization * Palo Alto/SF in-person ...

The Staff Software Engineer will build core primitives, own domain models, and define interactions ... Preferred : • MLE work, especially extraction and synthesis from unstructured data. • Workflow ...

Senior Software Engineer

San Francisco, CA · On-site

$144K - $190K/yr

... Senior Software Engineer to build core software primitives and manage domain models. The role ... Preferred : • MLE work, especially extraction and synthesis from unstructured data. • Workflow ...

The Engineering Manager, MLE role involves designing and deploying advanced machine learning models ... with researchers, software engineers, and product managers to understand complex business ...

As an MLE on the rapidly growing Enterprise Analytics team, you will have the opportunity to shape ... Strong knowledge and experience with containers, software design patterns, unit testing, CI/CD ...

As an MLE on the rapidly growing Enterprise Analytics team, you will have the opportunity to shape ... Strong knowledge and experience with containers, software design patterns, unit testing, CI/CD ...

The Software Engineering TeamExamples of key exciting problems the team is working on: * We're ... Bonus: MLE work, especially extraction and synthesis from unstructured data. Workflow and ...

Software Engineer

San Francisco, CA · On-site

$150K - $250K/yr

The Software Engineering Team Examples of key exciting problems the team is working on: * We're ... Bonus: MLE work, especially extraction and synthesis from unstructured data. Workflow and ...

Lead Machine Learning Engineer

San Francisco, CA · On-site +1

$120K - $159K/yr

The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this ... Collaborate as part of a cross-functional Agile team to create and enhance software that enables ...

Lead Machine Learning Engineer

San Jose, CA · On-site +1

$120K - $158K/yr

The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this ... Collaborate as part of a cross-functional Agile team to create and enhance software that enables ...

Lead Machine Learning Engineer

San Jose, CA · On-site

$120K - $158K/yr

The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this ... Collaborate as part of a cross-functional Agile team to create and enhance software that enables ...

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Software Engineer Mle information

What is the difference between Software Engineer Mle vs Data Scientist?

AspectSoftware Engineer MleData Scientist
Required CredentialsBachelor's in CS or related, knowledge of ML frameworksBachelor's or higher in CS, statistics, or related
Work EnvironmentDevelops ML models, integrates into software productsAnalyzes data, builds predictive models, reports insights
Employer & Industry UsageTech companies, startups, AI-focused firmsTech, finance, healthcare, research institutions

While both roles involve machine learning, Software Engineer Mle focuses on integrating ML models into software applications, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and work environment.

What cities in California are hiring for Software Engineer Mle jobs? Cities in California with the most Software Engineer Mle job openings:

Software Engineer

David Joseph & Company

Palo Alto, CA

$150K - $175K/yr

Full-time

Medical

Posted 11 days ago


Job description

San Francisco, CA · Palo Alto, CA · On-site (remote for truly exceptional candidates) · Full-time

Compensation: $150,000–$175,000 + 0–1% equity

About the Company

An early-stage AI company building RL training data and task-construction infrastructure for frontier AI labs, and deploying custom AI agents for enterprises and health systems. The team is scaling both its task-generation pipeline and its agent-deployment business.

Founded 2025 · 1–10 people (Seed) · Industry: AI Tools

The Role

Accelerate task creation for the company's RL training pipeline — a specialist role at the intersection of engineering, task design, and system architecture.

What you'll be doing

  • Own task construction: design and build long-horizon, high-difficulty RL tasks that meet specifications within time constraints
  • Build internal tools and infrastructure to help contractors create tasks faster and at higher quality
  • Contribute to custom agent implementations for enterprise customers and health systems
  • Own one core technical domain deeply (DevOps, MLE, systems design, Rust, algorithms, or full-stack) and lead that division of engineering tasks
  • Ship and iterate on systems that power the core task-generation pipeline

Tech stack: Not specified.

Requirements
  • 1 to 5 years engineering experience, flexible for exceptional candidates
  • Deep specialization in one domain (DevOps, MLE, system design, Rust, algorithms, or equivalent)
  • Strong software engineering fundamentals alongside the specialization
  • Palo Alto/SF in-person preferred; remote open for truly exceptional candidates
  • Startup pace 9am–9pm, six days a week; high-ownership role reporting to CTO
Green Flags
  • Rare depth in one engineering area
  • Grit and execution velocity
  • Specialist who can also lead a division
Red Flags
  • No clear specialization or jack-of-all-trades only
  • Cannot articulate their specialization clearly
Why Join
  • Build the RL task infrastructure that trains and evaluates frontier models
  • Specialist, high-ownership seat reporting directly to the CTO, owning a full division of engineering work
  • Perks: 1% equity, lunch or dinner in office, health insurance, Bay Club or Equinox membership
Details
  • Location: San Francisco, CA · Palo Alto, CA
  • Work policy: In-person preferred; remote for truly exceptional candidates
  • Schedule: 9am–9pm, six days a week
  • Compensation: $150,000–$175,000 + equity
  • Visa sponsorship: H-1B, OPT
  • Employment type: Full-time