Machine Learning Engineer

Starbucks; Bentonville (AR); On-site; USD 75,000 - 111,000; Full time

Job summary

Starbucks seeks a mid-level Machine Learning Engineer to own data integrity across Bentonville, AR stores and to stress-test PyTorch pipelines. You will collaborate with technology stakeholders, articulate Looker tradeoffs for executives, and mentor the on-call Continuous Learning cohort.

The role includes ownership of ML infrastructure and meaningful contributions to Starbucks growth. The position offers a starting salary of $75,000–$111,000 with benefits and flexible hours to support

Qualifications

• Hands-on experience with vector databases.
• Proven track record as a mid-level ML Engineer delivering results.
• Ability to stress-test PyTorch systems and harden where needed.
• Experience explaining Looker tradeoffs to stakeholders.

Responsibilities

• Own data integrity across Starbucks stores in Bentonville, AR.
• Stress-test PyTorch systems and harden weaknesses.
• Explain Looker tradeoffs to Starbucks executives.
• Mentor the mid-level cohort through on-call Continuous Learning at Starbucks.
• Integrate third-party services and internal tools into the Starbucks stack.
• Convert on-call noise into meaningful alerts and drive testing, security, and observability practices.

Skills

Vector Databases

Reliability engineering

Pattern recognition

Mid-level ML Engineer experience

Mentoring

Tools

PyTorch

Looker

Vector Databases

Job description

The technology team at Starbucks ships on Fridays without flinching, and the Machine Learning Engineer we hire will understand why that matters. What you're really weighing is $75,000 - $111,000 against 4 years, with technology ownership and Starbucks growth tipping the scale.

Key Responsibilities

• Own data integrity across Starbucks's Critical Thinking stores so Bentonville numbers never lie
• Stress-test PyTorch systems until they bend, then harden where they cracked
• Walk technology stakeholders through Looker tradeoffs in language Starbucks execs grasp
• Mentor the mid-level cohort through their first real Continuous Learning on-call at Starbucks
• Integrate third-party services and internal tools into the Starbucks stack
• Turn Starbucks's Continuous Learning on-call noise into alerts that actually mean somethingDrive adoption of best practices in testing, security, and observability

What You'll Bring

• Hands-on Vector Databases experience that survives a whiteboard interview
• The reliability that lets a manager stop checking in
• Pattern recognition earned across many technology engagements
• Proven track record delivering results as a mid-level Machine Learning Engineer

Where most technology vendors automate the easy parts, Starbucks tackles the hard ones, from a builder-led headquarters in Bentonville, AR. The pace is energetic but humane, and we treat protecting your time off as part of the work.

Come grow with us: $75,000 - $111,000 to start, a mentor to guide, benefits to lean on, and hours flexible enough for Bentonville living.