FREE ACCESS
5,000–10,000 jobs/day

See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Tech Stack
Tools & technologiesJavaPythonRustScala
About the role
Key responsibilities & impact- Lead and grow the AI/ML Engineering team, while coordinating execution across contributors including data scientists on collaborative projects.
- Design, deliver and operate the core AI/ML platform: agent frameworks, evaluation harnesses, labeling systems, document processing systems, semantic search, knowledge bases, model hosting, and more.
- Run AI/ML systems at scale in production with reliability, observability, performance, and incident response. Build a culture of operational excellence.
- Create processes to ensure proof-of-concept code from Data Science can be designed as production-grade services.
- Partner with the Chief AI Officer and Product Manager to build forward-looking product strategy. Drive structured thinking in ambiguity.
- Run tight, streamlined stand-ups across engineering and data science. Do capacity planning for driving predictability and velocity around delivery.
- Provide leadership in ensuring the cross-functional team can utilize AI technologies to accelerate team excellence in coding, PR reviews, testing, observability and incident response. Keep up with the latest developments in LLM/agent advances and modern AI/ML infrastructure.
Requirements
What you’ll need- BS or MS in Computer Science (or equivalent experience).
- 5+ years managing teams of ~8+ engineers with hands-on technical leadership.
- 8+ years direct hands on technical contributor in backend services experience.
- 3+ years specifically building AI/ML production-grade services at scale for multiple use cases. Direct co-working with data science and engineering.
- Strong in Java, Scala, Rust, or similar backend languages, plus Python.
- Understanding of what it takes to productize ML/AI platforms — workflows, serving, observability, reliability, and scale.
- Fluent enough in data science concepts to be a real partner to DS leadership.
- Strong communicator, organized, and proactive.
- Comfortable with ambiguity and taking the initiative.
Benefits
Comp & perks- Work from anywhere in the US! Machinify is digital-first.
- Top Medical/Dental/Vision offerings
- FSA/HSA
- Tuition reimbursement
- Competitive salary, 401(k) with company match
- Unlimited PTO
- Additional health and wellness benefits and perks
- Flexible and trusting environment where you’ll feel empowered to do your best work
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI/ML engineeringbackend servicesJavaScalaRustPythonproduction-grade servicesobservabilityreliabilityscalability
Soft Skills
leadershipcommunicationorganizationalproactivestructured thinkingcapacity planningcollaborationinitiativeadaptabilityproblem-solving
Certifications
BS in Computer ScienceMS in Computer Science
