Top 14 Lead machine learning engineer Jobs in San Diego Ca

Workstream Product Development Lead
McCarthy Holdings, Inc. —San Diego, CA
- $125,000 - $160,000 a year
- Computer Science
- No experience needed
- Mid-level
Senior Staff Mechanical Engineer - Characterization Lead
Dexcom —San Diego, CA
- $149,000 - $248,300 a year
- Full-time
- 5 years
- Master's degree
- Bachelor's degree
- Tuition reimbursement
Lead Product Performance Engineer
Brain Corp —San Diego, CA
- $97,335 - $118,965 a year
- Google Workspace
- Salesforce
- Office
- Health savings account
- Paid holidays
Quick Apply
AI Innovation and Development, Lead Scientist
FICO —San Diego, CA
- $120,000 - $189,000 a year
- Full-time
- Management
- Computer Science
- Master's degree
- Opportunities for advancement
Lead Enterprise Architect
Axos Bank —San Diego, CA
- $185,000 - $225,000 a year
- Full-time
- Background check
- Azure
- Computer Science
- Health savings account
- Health insurance
Lead AI / ML Engineer
Accenture —San Diego, CA
- $87,400 - $293,800 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- Java
- Paid holidays
- Disability insurance
13d
Snowflake Advanced AI Solution Lead
Accenture —San Diego, CA
- $87,400 - $293,800 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- DevOps
- Paid holidays
- Disability insurance
8d
Technical Delivery Lead - Applications, Google Cloud
Accenture —San Diego, CA
- Full-time
- Hybrid work
- 6 years
- Computer Science
- SQL
- Paid holidays
- Disability insurance
Technical Delivery Lead - Data & Agentic Transformation, Google Cloud
Accenture —San Diego, CA
- Full-time
- Hybrid work
- 6 years
- Computer Science
- SQL
- Paid holidays
- Disability insurance
Lead / Principal Process ML Engineer
Koh Young America, Inc. —San Diego, CA
- $100,000 a year
- Full-time
- Management
- Computer Science
- Data analysis skills
- Paid holidays
- Health insurance
Quick Apply
Google AI Lead Architect
Deloitte —San Diego, CA
- $141,200 - $278,300 a year
- Full-time
- Azure
- Computer Science
- Up to 50% travel
US E ES - Lead Data Scientist GenAI, Financial Planning & Analysis - Strategic Analytics
Deloitte —San Diego, CA
- $102,500 - $188,900 a year
- Full-time
- Azure
- Computer Science
- Office

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DataAnnotation —Carlsbad, CA
Flexible schedule: choose which projects you take on and when you work, on your own computer, from the comfort of your own home.
$50 - $100 an hour
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DevOps & SDLC Engineer - AI Trainer
DataAnnotation —San Diego, CA
Flexible schedule: choose which projects you take on and when you work, on your own computer, from the comfort of your own home.
$50 - $100 an hour
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lead machine learning engineer jobs near san diego ca

Workstream Product Development Lead

McCarthy Holdings, Inc. -
San Diego, CA

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Job Details

$125,000 - $160,000 a year

Qualifications

Roadmap creation (System development task)
Feature prioritization
Computer Science
Requirements specification
Requirements design
Enterprise software
Product testing in engineering
Product discovery
Industrial construction experience
Bachelor's degree in business
Agile scheduling
No experience needed
Mid-level
3 years
Product vision management
Key Performance Indicators
Collaboration with product development teams
Bachelor's degree in engineering
Construction industry experience
Product management
Product backlog management
Usability
User acceptance testing
Requirements management
Agile software development
Product strategy
Machine learning (ML) fundamentals
Analysis (software development lifecycle)
Business
Bachelor's degree in computer science

Full Job Description

POSITION SUMMARY

McCarthy Holdings is investing in the future of construction through its AI Development Program – a growing team that builds custom applications on Palantir Foundry to help field, design, and corporate teams work smarter and faster.

As a Product Development Lead, you’ll own the product direction for a squad within this program – shaping what gets built, setting priorities, and ensuring every product solves real problems for the people who use it. You’ll partner with a dedicated Project Lead, Palantir engineers, and business stakeholders to move from concept to production.

Products span a range of complexity – from operational tools that streamline field workflows to applications that leverage machine learning and AI capabilities. Across all of them, you’ll work alongside AI-enabled development tools and technical teams to deliver meaningful impact at speed.

RESPONSIBILITIES

Define and maintain the product vision, roadmap, and backlog for your squad’s products, aligned with the overall platform vision and business strategy.
Gather requirements from stakeholders and subject matter experts, prioritize features, and define acceptance criteria to ensure work is ready for sprint commitment.
Serve as the primary voice of the business and frontline users – advocate for their workflows, pain points, and priorities in every product decision.
Facilitate product cadences: backlog refinement, sprint planning, sprint reviews, and retrospectives. Participate in standups and cross-team coordination, providing product context and surfacing dependencies.
Conduct user acceptance testing to validate features and iterations before release.
Define and track product KPIs to assess adoption, usability, and business impact.

Scope and Growth

The program operates with AI tools integrated into daily workflows – agentic coding assistants, Palantir AIP, and AI-enabled development practices. No prior experience required, but you’ll be expected to adopt them.
Product delivery runs 3-9 months from inception to production. You may manage up to two products simultaneously, participating in transition planning as products reach go-live and hand off to a sustaining team.
This role does not currently have direct reports, but may grow to include product managers, interns, or consultants as the team scales.

QUALIFICATIONS

Bachelor’s degree in Business, Computer Science, Engineering, or a related field.
3+ years of experience in a software product delivery environment, preferably in product management, product ownership, or business analysis.
Familiarity with Agile methodologies and sprint-based delivery.
Strong verbal and written communication skills.
Ability to translate complex business problems into clearly defined product requirements.
Comfort operating in ambiguity – this program is maturing its processes while delivering simultaneously.
Experience in the construction industry or related fields (engineering, infrastructure, industrial).
Experience working in a matrixed or cross-functional team structure with shared accountability.
Experience with data platforms, analytics tools, or enterprise software products.
Familiarity with AI/ML concepts at a product level (not engineering depth – understanding what’s possible and how to frame requirements for AI-enabled features).

McCarthy is proud to be an equal opportunity employer, including disability and protected veteran status.

NOTICE TO EXTERNAL SEARCH FIRMS: McCarthy’s Talent Acquisition Team is the only authorized representative permitted to engage with external search firms, staffing agencies, or other third-party recruiting partners. McCarthy maintains an Approved Agency List for recruiting partners, which is reviewed and updated annually.

McCarthy will only consider submissions from agencies with a signed fee agreement in place for the current year. McCarthy does not accept unsolicited resumes, candidate submissions, or referrals from agencies that do not meet these requirements.

If a candidate is submitted without an active agreement, McCarthy will have no obligation to pay any fees and reserves the right to contact, engage, interview, or hire such candidate(s) without any financial or other responsibility to the submitting agency. Unsolicited resumes, including those sent directly to hiring managers or other employees, will be considered the property of McCarthy.

For California locations only, the salary range for this position is: $125,000 – $160,000 depending on location. This does not include a possible bonus and other benefits which can impact total compensation. Compensation offered may vary based on work location, experience, qualifications, specialty, training, and market and business considerations, among other factors.

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lead machine learning engineer jobs in san diego ca

Workstream Product Development Lead

Senior Staff Mechanical Engineer - Characterization Lead

Lead Product Performance Engineer

AI Innovation and Development, Lead Scientist

Lead Enterprise Architect

Lead AI / ML Engineer

Snowflake Advanced AI Solution Lead

Technical Delivery Lead - Applications, Google Cloud

Technical Delivery Lead - Data & Agentic Transformation, Google Cloud

Lead / Principal Process ML Engineer

Google AI Lead Architect

US E ES - Lead Data Scientist GenAI, Financial Planning & Analysis - Strategic Analytics

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