Sr. Lead Machine Learning Engineer
Job Location:
San Francisco, CA - USA
Monthly Salary:
Posted:
Application Deadline:
Vacancies:
Job Summary
What youll do in the role:
- 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.
- Bachelors 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
- Masters 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
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: $229900 - $262400 for Sr. Lead Machine Learning EngineerCandidates 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 candidates 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 Citys Fair Chance Act; Philadelphias 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- or via email at . 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 Ones recruiting process please send an email to
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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).
Required Experience:
Senior IC
