Applied Research Engineer
Applied Research Engineer owning technical deployment requests, troubleshooting, building tools/pipelines, and resolving ambiguous problems for frontier AI labs and data vendors at HUDHUD. Requires strong Python/Docker/Linux skills, eval/benchmark experience, independent problem-solving in fast-paced ambiguous settings.
About the job
Responsibilities
- Own technical deployment requests from frontier AI labs, data vendors, and internal teams from triage to completion
- Ask the right questions to clarify ambiguous asks and identify what actually needs to be done
- Build tools and one-off pipelines to solve urgent customer or partner problems
- Coordinate with research and GTM teams to unblock deployments
- Balance speed and quality in situations where customers need fast turnaround and the path is not fully specified
- Document recurring issues and turn repeated manual work into reusable tools or processes
Requirements
- Proficiency in Python, Docker, and Linux environments
- Experience working on benchmarks and evals - you can reason about what makes a task realistic, a rubric reliable, an environment usable, and a trajectory useful for RL training
- Strong debugging instincts across code, data, and environments
- Demonstrated ability to operate independently in ambiguous situations without a fully prescribed roadmap
- Strong judgment about when to move fast, when to escalate, and when correctness or security requires extra care
- Comfort working directly with technical customers, vendors, or cross-functional internal teams
Nice-to-Haves
- Experience in applied research engineering or forward-deployed engineering
- Experience handling urgent production, customer, or deployment issues
- Early-stage startup experience with ability to work independently in fast-paced environments
- Strong communication skills for remote collaboration across time zones
We prioritize technical aptitude and learning potential over years of experience.
Skills
Python, Docker, Linux, Benchmarks, Evals, Rl Training, Debugging
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