Über diese ML/AI Engineer Stelle bei Turing
About Turing
Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com.
Machine Learning Engineer
Role Overview
We are seeking a hands-on ML / AI Engineer to build the tooling, evaluation infrastructure, and quality-control systems that power AI training workflows. This role is ideal for an engineer who enjoys working across application development, infrastructure, and applied AI. You will be part of a rapidly growing team solving complex problems in AI systems, working in a startup-paced environment with high expectations and short timelines.
The ideal candidate is someone who takes ownership beyond what their role technically requires, has a track record of shipping production systems, and is excited by the intensity of a fast-paced, ambiguous environment rather than looking for stable, predictable work.
Key Responsibilities
Tooling and Platform Development:
- Build tools and platforms for dataset creation, annotation, evaluation, validation, and delivery.
- Design and implement APIs, internal applications, and developer tooling that enable efficient workflows.
- Develop maintainable, well-tested code that scales with growing demands.
AI Systems and Evaluation:
- Develop AI agents, task environments, evaluation pipelines, and automated quality-control systems.
- Build and iterate on evaluation frameworks that ensure quality and reliability of AI training outputs.
- Collaborate with research and domain experts to translate requirements into practical solutions.
Infrastructure and Scalability:
- Improve the reliability, scalability, and efficiency of AI training and data production workflows.
- Design and implement data pipelines for dataset creation, annotation, and delivery at scale.
- Contribute to technical design and architecture decisions that balance speed, quality, and maintainability.
Production Support and Problem Solving:
- Investigate production issues, identify root causes, and implement durable fixes.
- Write maintainable, well-tested code with a pragmatic approach to quality and scalability.
- Work independently in a fast-paced, ambiguous environment to solve complex technical challenges.
Technical Skills
Web Development - Node.js, React, NestJS, Next.js, Express
Python Engineering and Data Science - FastAPI, NumPy, Jupyter notebooks. Proficiency in large-scale data generation and data pipeline orchestration. Frameworks like Spark, Beam, or Dataflow preferred. Statistical analysis, data visualization, and data manipulation.
Infrastructure - Kubernetes, Docker, Pulumi, Terraform, infrastructure-as-code
AI Engineering - LangChain, LiteLLM, RL Gyms, LoRA and fine-tuning, AI agents, and Harbor
Quality Systems - Dataset validation, evaluation frameworks, automated testing, and QC tooling
Qualifications
- Strong software engineering fundamentals with a proven track record of shipping production systems.
- Experience working independently and effectively in fast-paced, ambiguous environments.
- Demonstrated ability to balance speed, quality, scalability, and maintainability in technical decisions.
- Strong debugging, problem-solving, and communication skills with cross-functional teams.
- Interest in the evolving challenges of training and evaluating AI systems.
What Success Looks Like
You ship high-quality solutions that directly enable AI training workflows. You can work independently to identify problems, design pragmatic solutions, and implement them reliably. You're energized by working across the full stack from infrastructure to application code, and you're excited about the technical challenges of building evaluation and quality-control systems for AI at scale.
Values
- We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
- We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection
- We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
Advantages of joining Turing
- Work at the frontier of AI, helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.
- Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.
- Bring frontier AI innovation to the enterprise, applying lessons learned from leading AI labs to solve real-world business challenges.
- Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies.
- Move at the pace of AI innovation, with the speed, ownership, and impact of a startup.
Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review Turing's GDPR notice here.
