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Work From Home Full Stack Machine Learning Engineer Jobs in California

Match Group

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 ...

Match Group

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 ...

Elicit

Machine Learning Engineer

Oakland, CA · On-site +1

... 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 ...

Freenome

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.

Freenome

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.

Reddit

Staff Machine Learning Engineer

San Francisco, CA · On-site +1

$230K - $322K/yr

Provide technical leadership and mentorship to machine learning engineers and contribute to ... Global Benefit programs that fit your lifestyle, from workspace to professional development to ...

AbbVie

Lead Machine Learning Engineer

San Diego, CA · On-site +1

$124K/yr

Strong programming skills in Python and understanding of core computer science principles ... Experience in assessing and implementing new data tools to enhance the machine learning stack

Vianai Systems

Full Stack Developer

Palo Alto, CA · On-site +1

$110K - $160K/yr

From choosing the needed tech stack to creating the best dev experience and up to fully own ... Knowledge in Business Intelligence, Artificial Intelligence, and Machine Learning. Who We Are: We ...

Cisco

Principal Machine Learning Engineer

San Jose, CA · On-site +1

$291K - $369K/yr

... full-stack platform designed for hybrid, multi-cloud environments. Join the AI Models team at ... Our work spans networking, security, observability, and customer experience - designing and ...

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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 are popular job titles related to Work From Home Full Stack Machine Learning Engineer jobs in California? For Work From Home Full Stack Machine Learning Engineer jobs in California, the most frequently searched job titles are:
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:
Work From Home Full Stack Machine Learning Engineer jobs near you
Sr. Lead Machine Learning Engineer

Sr. Lead Machine Learning Engineer

Capital One

San Francisco, CA • On-site, Remote

Full-time

Posted 9 days ago

Job description

Sr. Lead Machine Learning Engineer
As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering.

What you'll do in the role:
The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:
  • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams.
  • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation).
  • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.
  • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications.
  • Retrain, maintain, and monitor models in production.
  • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.
  • Construct optimized data pipelines to feed ML models.
  • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.
  • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI.
  • Use programming languages like Python, Scala, or Java.
Basic Qualifications:
  • Bachelor's Degree
  • At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)
  • At least 4 years of experience programming with Python, Scala, or Java
  • At least 3 years of experience building, scaling, and optimizing ML systems
  • At least 2 years of experience leading teams developing ML solutions
Preferred Qualifications:
  • Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field
  • Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
  • 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, Kubeflow or TensorFlow
  • 3+ years of experience developing performant, resilient, and maintainable code
  • 3+ years of experience with data gathering and preparation for ML models
  • ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents
  • 3+ years of experience building production-ready data pipelines that feed ML models
  • Ability to communicate complex technical concepts clearly to a variety of audiences
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Cambridge, MA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer


McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer


New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer


San Francisco, CA: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer


San Jose, CA: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer







Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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