Location: Menlo Park, California, United States (On-site)
Type: Full-time/permanent
Are you excited by the challenge of translating cutting-edge AI research into real-world applications? Do you thrive at the intersection of engineering and innovation, building experimental frameworks and tools to accelerate scientific discovery?
An Applied AI Research company in Menlo Park is looking for a Research Engineer to join its advanced R&D team. In this hands-on role, you’ll help bridge the gap between exploratory research and deployable systems - playing a key part in the development of next-generation intelligent agents and AI architectures.
What You’ll Be Doing:
- Implement and iterate on novel machine learning techniques, tools, and benchmarks
- Build infrastructure that supports large-scale experimentation and performance evaluation
- Evolve internal agent frameworks, focusing on efficiency, adaptability, and scalability
- Collaborate with researchers to translate new ideas into practical prototypes and working systems
- Maintain a high-quality codebase, leveraging version control, CI/CD, and peer reviews
What We’re Looking For:
- Background in software engineering with experience working on ML or AI-centric systems
- Proficiency in Python and/or C++, with a deep understanding of code optimisation and system-level design
- Familiarity with ML frameworks (e.g., PyTorch, TensorFlow) and experience building tools that support research workflows
- Strong grasp of experimental methods, benchmarking, and AI evaluation metrics
- Creative problem-solver with a collaborative mindset and solid communication skills
Why This Role?
- Work at the forefront of applied AI research with a team that values technical depth and creative freedom
- Shape early-stage systems with the potential to influence future product design and capabilities
- Join a tight-knit, high-impact team tackling some of the most compelling challenges in modern AI
If you're ready to build and scale the backbone of AI research and deployment, we’d love to hear from you! Apply now to learn more with a confidential conversation.
