Research Engineer Scientist – Modeling
Share
Job Location:
New York City, NY - USA
Monthly Salary:
Not Disclosed
Posted on:
12 hours ago
Vacancies:
1 Vacancy
Job Summary
Who we are
Perceptas mission is to transform critical institutions with applied AI. We care that industries that power the world (e.g. healthcare manufacturing energy) benefit from frontier technology. To make that happen we embed with industry-leading customers to drive AI transformation. We bring together:
Forward-deployed expertise in engineering product and research
Mosaic our in-house toolkit for rapidly deploying agentic workflows
Strategic partnerships with Anthropic McKinsey AWS companies within the General Catalyst portfolio and more
Our team is a quickly growing group of Applied AI Engineers Embedded Product Managers and Researchers motivated by diffusing the promise of AI into improvements we can feel in our day to day lives. Percepta is a direct partnership with General Catalyst a global transformation and investment company.
About the role
As a Research Engineer/Scientist (LLM Modeling) at Percepta you will advance the frontier of large-scale language model building and deployment. You will work on pre-training post-training (e.g. instruction tuning alignment distillation) reinforcement learning (RL) and the design of specialized architectures to push the boundaries of reasoning decision-making and adaptability in critical industries.
Youll collaborate closely with our Embedded Product Managers (EPMs) and engineers to ensure our most sophisticated decision systems are both innovative and pragmatically useful in transforming how companies operate.
Identify impactful problems and design research strategies across pre-training post-training RL and specialized model development.
Prototype and scale training pipelines for large language models experiment with model architectures optimization techniques and post-training strategies.
Contribute to infrastructure for high-performance distributed training.
Conduct in-the-wild evaluations at scale that drive millions of dollars in value.
Partner with our applied AI engineers to transition successful research ideas into robust features of our Mosaic platform.
Communicate research outcomes to both technical and non-technical stakeholders making sure everyone understands the so what of research and how to apply it.
You may be a good fit if you
Have an MS/PhD in Computer Science ML a related field or equivalent experience.
Have depth in LLM and ML fundamentals from optimization to large scale training to Reinforcement Learning
Are comfortable implementing and debugging large-scale ML systems.
Are motivated by impact in critical industries including healthcare supply chains energy and finance.
Have a proven track record of execution.
Are an excellent communicator with both technical and non-technical stakeholders.
Enjoy extreme ownership.
Are passionate about AIs transformative potential.
Were working against an incredibly ambitious mission. It wont be easy but it will likely be the most fulfilling work of your career. If that excites you lets chat even if you dont meet all of the qualifications above.
Required Experience:
IC
Key Skills
- Laboratory Experience
- Machine Learning
- Python
- AI
- Bioinformatics
- C/C++
- R
- Biochemistry
- Research Experience
- Natural Language Processing
- Deep Learning
- Molecular Biology
