Docker

1 month ago

ML Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Hands-on ML engineer on the Intelligence org to design, train, and ship ML systems for governance and security; build data pipelines, model serving, evaluation, and infrastructure; set technical direction and help grow the team while potentially participating in on-call rotations.

Location: Palo Alto

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Design, train, evaluate, and ship ML systems that power governance and security capabilities, starting with problems like prompt injection detection, behavioral anomaly detection, trust scoring, and policy recommendations.
•Build the supporting infrastructure: data pipelines, feature stores, model serving, evaluation harnesses, and the feedback loops that make iteration fast.
•Make pragmatic build-vs-buy calls. Use frontier models, off-the-shelf tooling, and managed services to move quickly; invest in custom systems where they create durable advantage.
•Set technical direction for the team's ML work. Own the architecture, evaluation methodology, model lifecycle, and the bar for shipping.
•Help recruit, mentor, and shape the team as it grows.

Pay and Benefits

Salary: USD 138,500 - 225,500 annually

Equity and Bonus:Equity

Perks:Remote WorkEquityPaid LeaveParental LeaveTechnology StipendMedical BenefitsRetirement

Key Requirements

•5+ years of deep applied ML/AI expertise with a track record of shipping production systems in fraud, abuse, safety, security, or trust domains.

Experience:5+ yearsAiMlSecurityGovernance

Education:Bachelor's

Skills:CollaborationCommunicationTeamwork

Tech Stack:LLMPrompt engineeringFine-tuningModel servingData pipelinesFeature storesRetrievalAgent frameworksMCP ecosystem

Company Brief

Docker

Docker builds developer tools and a collaborative platform for building, sharing and running containerized applications, including Docker Desktop and Docker Hub, to simplify container workflows from code to cloud.

Industry: Developer Tools

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Funding: Series C

Headquarters: San Francisco, United States

Founded: 2013

Glassdoor: 2.7

Website LinkedIn Glassdoor

Loading job details...

Preparing the role view and application actions.

Docker

1 month ago

ML Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Location: Palo Alto

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Design, train, evaluate, and ship ML systems that power governance and security capabilities, starting with problems like prompt injection detection, behavioral anomaly detection, trust scoring, and policy recommendations.
•Build the supporting infrastructure: data pipelines, feature stores, model serving, evaluation harnesses, and the feedback loops that make iteration fast.
•Make pragmatic build-vs-buy calls. Use frontier models, off-the-shelf tooling, and managed services to move quickly; invest in custom systems where they create durable advantage.
•Set technical direction for the team's ML work. Own the architecture, evaluation methodology, model lifecycle, and the bar for shipping.
•Help recruit, mentor, and shape the team as it grows.

Pay and Benefits

Salary: USD 138,500 - 225,500 annually

Equity and Bonus:Equity

Perks:Remote WorkEquityPaid LeaveParental LeaveTechnology StipendMedical BenefitsRetirement

Key Requirements

•5+ years of deep applied ML/AI expertise with a track record of shipping production systems in fraud, abuse, safety, security, or trust domains.

Experience:5+ yearsAiMlSecurityGovernance

Education:Bachelor's

Skills:CollaborationCommunicationTeamwork

Tech Stack:LLMPrompt engineeringFine-tuningModel servingData pipelinesFeature storesRetrievalAgent frameworksMCP ecosystem

Company Brief

Docker

Industry: Developer Tools

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Funding: Series C

Headquarters: San Francisco, United States

Founded: 2013

Glassdoor: 2.7

Website LinkedIn Glassdoor