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Director Machine Learning Jobs in California (NOW HIRING)

Machine Learning Engineer

San Francisco, CA ยท On-site +1

$164K - $266K/yr

This position is an individual contributor role reporting to the Director, Machine Learning Engineering. Responsibility * Build and maintain high-performance distributed systems to support large ...

Machine Learning Engineer

San Francisco, CA ยท On-site

$164K - $266K/yr

This position is an individual contributor role reporting to the Director, Machine Learning Engineering. Responsibility * Build and maintain high-performance distributed systems to support large ...

Our direct client is hiring a Machine Learning Engineer for their software machine learning and computer vision team to design, develop, and implement critical machine learning models supporting ...

Our direct client is hiring a Machine Learning Engineer for their software machine learning and computer vision team to design, develop, and implement critical machine learning models supporting ...

Machine Learning Manager

San Francisco, CA ยท On-site

$180K - $250K/yr

Machine Learning Manager In order to execute our vision, we're constantly growing our machine ... The work you do here will have a noticeable and direct impact on the development of the company.

Machine Learning Manager

San Francisco, CA ยท On-site

$180K - $250K/yr

Machine Learning Manager In order to execute our vision, we're constantly growing our machine ... The work you do here will have a noticeable and direct impact on the development of the company.

Machine Learning Engineer

San Diego, CA ยท Hybrid

$70 - $95/hr

Production Machine Learning Deployments * Model Monitoring, Observability, and Optimization ... High visibility opportunity with direct business impact * Contract-to-hire position with long-term ...

New

Machine Learning Engineer

San Diego, CA ยท Hybrid

$70 - $95/hr

Production Machine Learning Deployments * Model Monitoring, Observability, and Optimization ... High visibility opportunity with direct business impact * Contract-to-hire position with long-term ...

New

Head of Machine Learning

Mountain View, CA ยท Hybrid

$477K - $583K/yr

As a fintech company where data and machine learning (ML) is integral to both our business strategy and user experience, we depend on robust, scalable systems to drive impactful decisions and deliver ...

Machine Learning Engineer

San Francisco, CA ยท On-site

$120K - $180K/yr

Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class ... The work you do here will have a noticeable and direct impact on the development of the company.

Machine Learning Engineer

San Francisco, CA ยท On-site

$120K - $180K/yr

Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class ... The work you do here will have a noticeable and direct impact on the development of the company.

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Showing results 1-20

Director Machine Learning information

See California salary details

$35.5K

$90.7K

$139.2K

How much do director machine learning jobs pay per year?

As of Jul 4, 2026, the average yearly pay for director machine learning in California is $90,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,600.00 and $104,600.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Director Machine Learning position, and why are they important?

To thrive as a Director Machine Learning, you need advanced expertise in machine learning, statistics, data science, and leadership, typically supported by a master's or Ph.D. in a related field and several years of relevant industry experience. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms, and data management systems, as well as certifications like AWS Certified Machine Learning or Google Professional Machine Learning Engineer, are commonly required. Exceptional communication, strategic thinking, and team management skills distinguish top candidates in this role. These capabilities are essential for driving organizational AI initiatives, fostering high-performing teams, and delivering impactful business solutions.

What is a Director Machine Learning job?

A Director of Machine Learning leads teams in developing and deploying machine learning models to solve business challenges. They define the AI strategy, oversee research, and ensure models are scalable and ethical. This role requires expertise in machine learning, data science, and leadership, as well as collaboration with cross-functional teams. Directors also stay updated on industry advancements and drive innovation within their organizations.

What are the primary responsibilities and challenges faced by a Director of Machine Learning on a daily basis?

A Director of Machine Learning is typically responsible for overseeing the development and deployment of machine learning solutions, mentoring technical teams, setting strategic direction for AI initiatives, and ensuring the alignment of projects with organizational goals. Challenges often include balancing innovative research with business priorities, navigating evolving technology landscapes, and coordinating efforts across data science, engineering, and stakeholder teams. This role requires regular collaboration with product managers, executives, and cross-functional departments to prioritize initiatives and communicate complex technical concepts. Successful directors excel at fostering a culture of continuous learning, optimizing team productivity, and staying ahead in a fast-paced, rapidly changing field.

What are the most commonly searched types of Machine Learning jobs in California? The most popular types of Machine Learning jobs in California are:
What cities in California are hiring for Director Machine Learning jobs? Cities in California with the most Director Machine Learning job openings:
Infographic showing various Director Machine Learning job openings in California as of June 2026, with employment types broken down into 1% Internship, 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $90,729 per year, or $43.6 per hour.
Machine Learning Engineer

Machine Learning Engineer

DocuSign

San Francisco, CA โ€ข On-site, Remote

$164K - $266K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 7 days ago


Job description

Company Overview

Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people's lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign's Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).

What you'll do

As a Machine Learning Engineer on the AI Platform team, you will design and build the foundational infrastructure that powers Docusign's next generation of intelligent systems. You will bridge the gap between core AI research and production-grade engineering, developing scalable platforms for autonomous agents, advanced retrieval systems, and automated model optimization.

This position is an individual contributor role reporting to the Director, Machine Learning Engineering.

Responsibility

  • Build and maintain high-performance distributed systems to support large-scale model inference and data processing

  • Design frameworks for multi-agent systems, focusing on state management, reliability, and long-running autonomous workflows

  • Architect sophisticated Retrieval-Augmented Generation (RAG) pipelines and advanced context management strategies to improve model accuracy and relevance

  • Develop platform-level tools for automated prompt engineering, evaluation, and optimization to accelerate the AI development lifecycle

  • Implement robust ML pipelines, focusing on observability, versioning, and the seamless deployment of generative AI services

Job Designation

Hybrid: Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation)

Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law.

What you bring

Basic

  • 5+ years of experience in machine learning engineering, software engineering, or related operational roles

  • Experience in software engineering with a focus on distributed systems and scalable backend architecture

  • Deep understanding of the ML lifecycle, from data ingestion and training to production monitoring

  • Experience building with LLMs, including RAG architectures and sophisticated prompt engineering

  • Experience deploying and maintaining ML models in high-traffic, production environments

  • Expertise in Python and experience with modern ML frameworks such as PyTorch

Preferred

  • Experience with distributed task queues or stateful workflow engines for managing complex, multi-step AI processes

  • Experience with frameworks designed for horizontal scaling of compute-intensive ML workloads

  • Experience designing "agent-loop" architectures that involve tool-use, self-correction, and multi-step reasoning

  • Familiarity with vector storage systems and high-throughput data processing pipelines

Wage Transparency

Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.

Based on applicable legislation, the below details pay ranges in the following locations:

California: $164,700.00 - $266,000.00 base salary

Washington: $158,300.00 - $232,575.00 base salary

This role is also eligible for the following:

  • Bonus: Sales personnel are eligible for variable incentive pay dependent on their achievement of pre-established sales goals. Non-Sales roles are eligible for a company bonus plan, which is calculated as a percentage of eligible wages and dependent on company performance.
  • Stock: This role is eligible to receive Restricted Stock Units (RSUs).

Global benefits provide options for the following:

  • Paid Time Off: earned time off, as well as paid company holidays based on region
  • Paid Parental Leave: take up to six months off with your child after birth, adoption or foster care placement
  • Full Health Benefits Plans: options for 100% employer paid and minimum employee contribution health plans from day one of employment
  • Retirement Plans: select retirement and pension programs with potential for employer contributions
  • Learning and Development: options for coaching, online courses and education reimbursements
  • Compassionate Care Leave: paid time off following the loss of a loved one and other life-changing events
Life at DocuSign

Working here

Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what's right, every day. At Docusign, everything is equal.

We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you'll be loved by us, our customers, and the world in which we live.

Accommodation

Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at accommodations@docusign.com.

If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at taops@docusign.com for assistance.

Applicant and Candidate Privacy Notice

States Not Eligible for Employment

This position is not eligible for employment in the following states: Alaska, Hawaii, Maine, Mississippi, North Dakota, South Dakota, Vermont, West Virginia and Wyoming.

EEO Statement

It's important to us that we build a talented team that is as diverse as our customers and where all employees feel a deep sense of belonging and thrive. We encourage great talent who bring a range of perspectives to apply for our open positions. Docusign is an Equal Opportunity Employer and makes hiring decisions based on experience, skill, aptitude and a can-do approach. We will not discriminate based on race, ethnicity, color, age, sex, religion, national origin, ancestry, pregnancy, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, registered domestic partner status, caregiver status, marital status, veteran or military status, or any other legally protected category.

EEO Know Your Rights poster

Employment Type: FULL_TIME