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Work From Home Full Stack Machine Learning Engineer Jobs in California

Lead Machine Learning Engineer

Millbrae, CA · On-site +1

$119K - $156K/yr

Please check out the following video to understand how we help vulnerable patients living at home ... Doctorate in a related field * 8+ years of experience (including any applicable work in grad school ...

Machine Learning Engineer

San Francisco, CA · On-site +1

$140K - $190K/yr

You will work on an automated machine learning ecosystem that dynamically recalibrates models based ... Engineer high-frequency time-series features from over 1 trillion behavioral events, optimizing for ...

Machine Learning Engineer II

Palo Alto, CA · On-site +1

$114K - $156K/yr

You will work closely with product, engineering, data, and platform partners to translate product opportunities into machine learning solutions, run experiments, and help bring models from ...

Sr. Lead Machine Learning Engineer

San Jose, CA · On-site +1

$120K - $158K/yr

Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk ... Please note that this salary information is solely for candidates hired to perform work within one ...

Machine Learning Engineer II

Palo Alto, CA · On-site +1

$145K - $165K/yr

You will work closely with product, engineering, data, and platform partners to translate product opportunities into machine learning solutions, run experiments, and help bring models from ...

Machine Learning Engineer II

Los Angeles, CA · On-site +1

$105K - $143K/yr

You will work closely with product, engineering, data, and platform partners to translate product opportunities into machine learning solutions, run experiments, and help bring models from ...

Machine Learning Engineer II

Los Angeles, CA · On-site +1

$145K - $165K/yr

You will work closely with product, engineering, data, and platform partners to translate product opportunities into machine learning solutions, run experiments, and help bring models from ...

... full model capabilities * Combining language models with external tools, structured and ... Flexible work environment - work from our office in Oakland or remotely as long as you can travel ...

Senior Machine Learning Engineer

Brisbane, CA · On-site +1

$147K - $194K/yr

As part of an interdisciplinary R&D team, they will work in close collaboration with machine ... Drive performance improvements across our stack through profiling, optimization, and benchmarking.

Full-Stack Engineer

San Francisco, CA · On-site +1

$140K - $190K/yr

The requests we take on are typically high-impact and come directly from customers, so the work you ... Our deep investments in machine learning and user identity, a data network scoring 1 trillion ...

Showing results 41-60

Work From Home Full Stack Machine Learning Engineer information

What is the difference between Work From Home Full Stack Machine Learning Engineer vs Work From Home Data Scientist?

AspectWork From Home Full Stack Machine Learning EngineerWork From Home Data Scientist
Required CredentialsBachelor's/Master's in CS, ML certifications, programming skillsBachelor's/Master's in CS, statistics, data analysis certifications
Work EnvironmentRemote, collaborative teams, software development focusRemote, research-oriented, data analysis and visualization
Industry UsageTech, finance, healthcare, e-commerceTech, finance, marketing, research firms

While both roles often work remotely and require strong technical skills, Full Stack Machine Learning Engineers focus on developing and deploying ML models within software systems, whereas Data Scientists analyze data to generate insights and support decision-making. The roles overlap but differ mainly in their core responsibilities and technical focus.

What job categories do people searching Work From Home Full Stack Machine Learning Engineer jobs in California look for? The top searched job categories for Work From Home Full Stack Machine Learning Engineer jobs in California are:
What cities in California are hiring for Work From Home Full Stack Machine Learning Engineer jobs? Cities in California with the most Work From Home Full Stack Machine Learning Engineer job openings:

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 26 days ago


Job description

Company Description

Recognized as Social Media/Influencer Agency of the Year, and as the annual partner for Forbes Top Creators List, Influential sits at the center of culture and the creator economy.

Through our platform Captiv8, the industry's #1 ranked influencer marketing platform, we combine deep API integrations, advanced AI, and machine learning with human expertise to connect brands with a network of more than 15 million creators worldwide.

Our work powers award-winning campaigns across Meta, Snap, TikTok, YouTube, and more, partnering with Fortune 500 companies and global organizations to deliver impact across retail foot traffic, in-store sales, online conversions, and TV tune-in.

At Influential, you'll work with a fast-moving, high-performance team solving complex problems and shaping the future of marketing. You'll build, grow, and make an impact alongside top talent, leading brands, and the world's most influential creators.

Ready to join us?

Job Description

Influential's engineering team is defining the future of the creator economy by building the foundation on how influencers, brands and their audience interact and transact. Our team is seeking creative thinkers with experience solving difficult problems to help us develop solutions that will continue to support Influential's leadership position in the industry.

 

As a key member of the engineering team your focus will be on building scalable solutions in collaboration with internal team members and key external strategic partners.  Our technology partners are the world's leading players connecting people, communities and businesses around the world.

Your work will focus on expanding the functionality and capabilities of our core platforms through innovative solutions. You'll have the opportunity to create first-of-their-kind solutions and solve unique technology challenges in a high-growth industry.

We are an 100% remote work from home company

Responsibilities
  • Implement and maintain web applications across the stack using TypeScript, including backend gRPC microservices, and frontend React clients
  • Implement and maintain middle tier services in GoLang
  • Optimize and scale database structures to ensure fast, reliable data processing for affiliate performance tracking
  • Work with the Product team and leadership to understand roadmap priorities, provide guidance on the best technical solution for initiatives and optimal team resources
  • Collaborate with remote team members to produce loosely coupled, highly maintainable code
  • Collaborate with stakeholders to clarify requirements, iterate functionality, and contribute to the overall success of the product
  • Plan, estimate, and prioritize work in a remote, distributed team environment
  • Support production issues as needed to meet client SLAs
  • Participate in scrum development with bi-weekly release schedules
  • Stay up to date with compliance and regulations related to affiliate marketing (GDPR, CCPA, etc.) to ensure data privacy and security
Qualifications

Qualifications (Required)

  • 8+ years of experience in full stack web development
  • Expert with Node.js, JavaScript, and TypeScript
  • Proficient with React, StoryBook, CSS/SASS
  • Proficient with in-memory data-stores (Redis, Memcached)
  • Strong experience with relational databases and data processing frameworks (MariaDB/MySQL/Postgres preferred)
  • Experience with RESTful APIs, gRPC, and microservice architectures
  • Strong organizational and analytical skills
  • Hands-on experience with AWS and containerization (Docker, Kubernetes)
  • Must be legally authorized to work in the United States without the need for employer sponsorship

Qualifications (Preferred)

  • Proficiency with GoLang
  • Experience with GraphQL
  • Familiarity with Agentic AI workflows, LLMs, Figma
  • Experience building Python services (Flask, FastAPI)
  • Experience with pub-sub and queue-based messaging systems (Kafka, Redis)
  • Experience with AI coding tools and incorporate QA automation into the development
Additional Information

Our Publicis Groupe motto "Viva La Difference" means we're better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent.

Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.

If you require accommodation or assistance with the application or onboarding process specifically, please contact USMTTACompliance@publicis.com.

All your information will be kept confidential according to EEO guidelines.

#LI-SL1

 Compensation Range: USD $88,540.00 - USD $135,632.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 8/31/2026.Employment Type: FULL_TIME