Senior Principal Engineer

3 weeks ago

Boston, Massachusetts, United States Vertex Pharmaceuticals Full time
Job Description

We are seeking a highly skilled Machine Learning Engineer to lead and manage our critical Machine Learning and Artificial Intelligence Platform. As part of the Data & Software Engineering (DSE) Team, you will be responsible for developing and maintaining the infrastructure and tools required for the deployment, monitoring, and continuous improvement of machine learning models.

Key Responsibilities:
  • Platform management - Manage, maintain, and improve Vertex's ML platform with a focus on security, DevOps, and enabling best practices for users to design, implement, and manage end-to-end ML pipelines
  • Technology expert - Accountable for developing, deploying, & maintaining Vertex Data Platform components that enable & support the full development and deployment cycle for advanced Machine Learning and Artificial Intelligence solutions
  • Delivery management - Estimate, architect, and execute on delivery of critical projects & solutions, in partnership with the DSE leadership team, that support and enable data scientists
  • Operations Management - Manage & partner with a team of MLOps & Data Engineers to maintain the Vertex Data Platform. Troubleshoot and resolve issues related to model deployment, execution, and performance
  • Innovation champion - Advocate for process enhancements and opportunities to improve our ML & Data Science capabilities. Partner closely with Director, Data Platforms for defining, architecture and designing AI/ML platform components. Collaborate with data scientists and data engineers to integrate best practices into the development lifecycle
Qualifications:
  • 8-10 years of experience working as a Software Engineer, DevOps Engineer, MLOps Engineer, or Machine Learning Engineer within a production ecosystem
  • 3+ years working in an MLOps or ML Engineering role leveraging Databricks, AWS, or equivalent cloud data platforms
  • Demonstrated experience with model pipeline technologies like Astronomer / Airflow, MLFlow, etc.
  • Demonstrated experience in developing (or supporting) ML/AI solutions leveraging Python libraries such as PyTorch, Tensorflow, XGBoost, etc.
  • Demonstrated experience monitoring and optimizing the security and performance of deployed models
  • Experience automating model training, validation, and deployment processes to enhance efficiency and reproducibility
  • Demonstrated experience working in agile environments (5+ years)
  • Demonstrated ability to work independently and manage multiple projects that require collaboration across functional areas.
  • Skillful, collaborative team player able to develop rapport and credibility with stakeholders.
  • Demonstrated ability and willingness to teach, engage and support others as they learn new technologies and concepts.
  • Enthusiasm for and the ability to quickly learn new technologies and tackle difficult problems.
  • Strong presentation, verbal, and written communication skills
  • Working knowledge of key workflow tools, including JIRA and Confluence

Pay Range: $160,000 - $240,000

Disclosure Statement: The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law.

At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations. From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more.

Flex Designation: Remote-Eligible

Flex Eligibility Status: In this Remote-Eligible role, you can choose to be designated as:

  • 1. Remote: work remotely five days per week and come into the office on occasion - you're always welcome on-site;
  • 2. Hybrid: work remotely up to two days per week;
  • 3. On-Site: work five days per week on-site with ad hoc flexibility.

Company Information: Vertex is a global biotechnology company that invests in scientific innovation. Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition

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