Machine Learning Engineering Manager

Responsibilities

• Coach Machine Learning Engineers and Data Scientists on the Journey team to improve their performance, advise them on their career direction, and develop their qualifications.
• Work to understand, prioritize, and plan the team’s work items without external guidance.
• Ensure delivery of machine learning solutions, set expectations for what can be done and by when, and prioritize incoming projects.
• Improve existing Agile, ML, and A/B testing processes and develop new ones.
• Scope projects, gather and improve on requirements, and delegate work effectively.
• Partner with and provide project direction and feedback to cross‑functional peers, including Product Managers, Software Engineers.
• Remove roadblocks and give individual contributors autonomy and ownership.
• Brainstorm with teammates about practical experimental design, navigating production codebases, and model development.
• Be prepared to closely engage and contribute directly to implementation when necessary.

• Requires a Bachelor’s degree in Computer Science, Mathematics, Statistics, or related field and a minimum of 8 years of related experience; or a Master’s degree with a minimum of 6 years of experience; or a PhD with a minimum of 3 years experience.
• Demonstrated achievement as a Manager in Machine Learning Engineering, overseeing teams of 3 or more, and addressing intricate, large‑scale problems.
• Well‑versed in coding (Python, Java, Go, or
  
  C) and experience with SQL Databases like Presto, and data processing frameworks like Spark.
• Have full‑stack experience in data collection, aggregation, analysis, visualization, productionisation, and monitoring.
• Highly effective in coaching Machine Learning Engineers, facilitating qualification enhancement, and fostering career development.

• Tier 1 – United States of America 163,000 – 245,000 USD per year
• Tier 2 – United States of America 182,000 – 272,000 USD per year
• Tier 3 – United States of America 199,000 – 299,000 USD per year
• Tier 4 – N/A
• Tier 5 – United States of America 227,000 – 341,000 USD per year

The salary range for this role reflects the minimum and maximum compensation for the role. Offers are typically made between the range minimum and the range midpoint. Actual compensation will be determined based on job‑related skills, experience, and expertise, as evaluated during the interview process. The range(s) listed is just one component of Indeed’s total compensation package for employees. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), a Paid Time Off policy, and many region‑specific benefits.

Compensation may also vary based on where a role is performed, as work locations are grouped into geographic pay tiers to reflect cost of labor differences in different geographic markets.

We care about what you care about. We have a multitude of benefits to support Indeedians, as well as their pets, kids, and partners including medical, dental, vision, disability and life insurance. Indeedians are able to enroll in our company’s 401(k) plan, as well as an equity‑based incentive program. Indeedians will also receive open paid time off, 11 paid holidays a year and up to 26 weeks of paid parental leave.

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