Machine Learning Engineer

Machine Learning Engineer

Location:

Denver, CO

Full-time | Intermediate level | No relocation | Negligible travel expected

The Machine Learning Engineer will be responsible for implementing and maintaining data science models in bpx’s machine learning studio. The role will be a subject matter expert in machine learning operations and the associated technology. This role will bridge the gap between pure data science and the computational requirements needed to meet business outcomes. The role will have the ability to guide bpx’s data science journey in a nascent technology stack.

The ML Engineer will have significant freedom and latitude to suggest and implement solutions.

• Implement data science algorithms in bpx’s ML Studio Sage Maker.
• Create systems and processes to monitor performance of ML algorithms in production.
• Serve as the subject matter expert of ML Operations and guide data scientists in the practical implications of model design.
• Collaborate with the data engineering team to build and maintain data pipelines from systems like Snowflake and OSI Pi.
• Partner with bpx Architecture team to ensure endpoints, compute, and network considerations are built into solutions.
• Takes initiative and stays up to date with the latest data science trends, techniques, and best practices, determining how to incorporate the most suitable practices in the department.
• Work as part of a geographically dispersed team, effectively communicating prioritized business needs and project status.
• Design systems to balance cost and performance to meet business outcomes.

• A Bachelor’s degree (Master’s preferred) in Statistics, Mathematics, Computer Science, or a related quantitative field.
• 7+ years in data science or a related field, with 3+ years of hands‑on experience in machine learning operations.
• Proven track record of implementing and scaling models in an operations or customer‑focused company.
• Strong programming skills:
  Python and Cloud Implementation Scripting.
• Experience with big data, real‑time streaming data technologies, and cluster computing environments.
• Knowledge and exposure to cloud technologies, especially AWS.
• Must be legally authorized to work in the United States without sponsorship.

Base compensation: $119,000 – $140,000 per year.

At bpx, we provide an excellent working environment and a rewards and wellbeing package that enables your work to fit with your life. Benefits include health, vision, and dental insurance; a flexible working schedule; paid time off; a discretionary annual bonus program; a long‑term incentive program; and a generous 401(k) matching program.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status, or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.).

If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre‑placement drug screening, medical review of physical fitness for the role, and background checks.