Senior Machine Learning Engineer
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Job Location:
Manhattan, IL - USA
Monthly Salary:
Not Disclosed
Posted on:
3 hours ago
Vacancies:
1 Vacancy
Job Summary
Senior Machine Learning Engineer
About the Role:
Were looking for a Senior Machine Learning Engineer who is first and foremost a strong backend engineer with hands-on experience shipping ML-powered features into production.
This role sits at the intersection of backend systems and machine learning. You will focus on building scalable infrastructure and services that enable intelligent personalized user experiences.
This is not a research-heavy or purely data science role. Instead youll be responsible for taking ML capabilities-whether internal models or third-party APIs-and turning them into reliable production-grade systems.
You will collaborate closely with cross-functional teams to bring ML-driven features to life ensuring they are performant scalable and user-focused.
What Youll Own:
- Design build and maintain backend services and APIs powering ML-driven features
- Integrate and orchestrate ML models and third-party ML APIs (LLMs recommendation systems embeddings etc.)
- Build data pipelines and infrastructure for model serving feature storage and real-time personalization
- Translate ML capabilities into high-quality user-facing features in collaboration with product and design teams
- Ensure reliability scalability and performance of ML-adjacent systems
- Write clean maintainable production-grade code with strong documentation
- Contribute to architectural decisions and project planning
- Provide clear documentation and handoff materials for long-term maintainability
Required Skills & Experience:
- 5 years of professional software engineering experience with strong backend focus
- Proven experience shipping ML-powered features in production environments
- Solid understanding of ML concepts (embeddings classification recommendation systems LLMs)
- Hands-on experience integrating ML APIs and services (OpenAI Anthropic HuggingFace AWS SageMaker etc.)
- Proficiency in Python or another backend language (Go Java etc.)
- Experience with cloud platforms (AWS GCP or Azure) and containerized deployments
- Familiarity with ML-related data systems (vector databases feature stores streaming pipelines)
- Strong problem-solving and analytical skills
- Excellent communication and cross-functional collaboration abilities
- Ability to thrive in a fast-paced evolving environment
Preferred Experience:
- Experience scaling systems in a high-growth startup environment
- Hands-on experience building LLM-powered applications (RAG pipelines prompt engineering conversational systems)
- Familiarity with DevOps practices (CI/CD observability monitoring production readiness)
- Experience with recommendation systems personalization engines or ranking algorithms
Why You Should Join:
This is not just another engineering role. Its a chance to build technology that directly improves peoples lives at scale.
- Work on meaningful problems: Your work will power experiences that &
