Senior Machine Learning Engineer - Platform New San Francisco, CA
Company: Gusto
Location: San Francisco
Posted on: February 1, 2025
Job Description:
About GustoGusto is a modern, online people platform that helps
small businesses take care of their teams. On top of full-service
payroll, Gusto offers health insurance, 401(k)s, expert HR, and
team management tools. Today, Gusto offices in Denver, San
Francisco, and New York serve more than 300,000 businesses
nationwide.Our mission is to create a world where work empowers a
better life, and it starts right here at Gusto. That's why we're
committed to building a collaborative and inclusive workplace, both
physically and virtually.About the Role:As a Senior Machine
Learning Engineer, you will work closely with applied science
practitioners and engineers to rapidly build, deploy, and iterate
high-quality ML infrastructure solutions at scale, ensuring both
reliability and effectiveness. Your deep expertise in the machine
learning model development cycle, along with a strong understanding
of data pipelines and data infrastructure will be crucial in
developing a dependable and scalable ML infrastructure for all of
Gusto to rely on.The ideal candidate is passionate about developing
software, developing and documenting optimal processes, working
with data, and understanding the needs of end users. A strong grasp
of ML and data infrastructure is essential, as you will work with
stakeholders and build efficient solutions to help our partners
scale x times better.Here's what you'll do day-to-day:
- Drive core components of our ML Platform technical roadmap to
design and build MLOps solutions with automated pipelines and
standardized processes to build, deploy, run, monitor, debug, and
retrain ML Models.
- Develop, maintain, and enhance frameworks for machine learning
model development and deployment.
- Collaborate with the ML model builders and application owners
to determine business requirements and SLAs for API-enabled
services.
- Develop, maintain, and enhance infrastructure supporting
machine learning services.
- Support the development of new patterns for the deployment of
machine learning models with CI/CD pipelines and automated
testing.Here's what we're looking for:
- At least 10 years of software engineering experience (Python,
Ruby or Java).
- Demonstrated experience architecting and developing
infrastructure and platform services for machine learning
lifecycle, such as feature stores, model development, deployment,
and observability tools and solutions.
- Experience with at least one of the major cloud platforms (AWS
preferred but not required).
- Experience with MLOps tooling such as KubeFlow, AWS Sagemaker,
MlFlow, or similar.Our cash compensation amount for this role is
targeted at $164,000-$204,000/year in Denver, Chicago, Miami,
Austin and Atlanta, $188,000-$222,000/year in Los Angeles, and
$199,000- $247,000/year for San Francisco, Seattle and New York.
Final offer amounts are determined by multiple factors, including
candidate experience and expertise, and may vary from the amounts
listed above.Gusto has physical office spaces in Denver, San
Francisco, and New York City. Employees who are based in those
locations will be expected to work from the office on designated
days approximately 2-3 days per week (or more depending on
role).Our customers come from all walks of life and so do we. We
hire great people from a wide variety of backgrounds, not just
because it's the right thing to do, but because it makes our
company stronger. If you share our values and our enthusiasm for
small businesses, you will find a home at Gusto.Gusto is proud to
be an equal opportunity employer. We do not discriminate in hiring
or any employment decision based on race, color, religion, national
origin, age, sex (including pregnancy, childbirth, or related
medical conditions), marital status, ancestry, physical or mental
disability, genetic information, veteran status, gender identity or
expression, sexual orientation, or other applicable legally
protected characteristic.
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Keywords: Gusto, Cupertino , Senior Machine Learning Engineer - Platform New San Francisco, CA, Engineering , San Francisco, California
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