Staff Machine Learning Engineer Platform

Los Angeles, CA - USA

Yearly Salary: $ 157000 - 194000

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

About Gusto

Gusto is a modern online small business platform on a mission to grow the small business economy. 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 400000 businesses nationwide thats why were committed to building a collaborative and inclusive workplace both physically and virtually. Learn more about ourTotal Rewards philosophy.

About the Role:

As a Staff 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 to build efficient solutions to help our partners scale x times better.

Heres what youll 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.

Heres what were 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 $157000-$194000/year in Denver $188000-$222000/year in Los Angeles and $190000- $235000/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). The same office expectations apply to all Symmetry roles Gustos subsidiary whose physical office is in Scottsdale.

Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas.

When approved to work from a location other than a Gusto office a secure reliable and consistent internet connection is required. This includes non-office days for hybrid employees.

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 its 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. Gusto considers qualified applicants with criminal histories consistent with applicable federal state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey please fill out this form and a member of our team will get in touch with you.

Gusto takes security and protection of your personal information very seriously. Please review our Fraudulent Activity Disclaimer.

Personal information collected and processed as part of your Gusto application will be subject toGustos Applicant Privacy Notice.

Required Experience:

Staff IC

About GustoGusto is a modern online small business platform on a mission to grow the small business economy. 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 400000 busin...