Research Engineer Scientist – Optimization
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Job Location:
New York City, NY - USA
Monthly Salary:
Not Disclosed
Posted on:
10 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 (Optimization) at Percepta youll work at the intersection of AI research and real-world impact. You will advance the frontier of decision-making for critical industries by combining modern machine learning with rigorous optimization research. 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.
Responsibilities
Set and drive ambitious research programs that expand whats achievable in data-driven decision-making.
Invent new optimization-and-ML methods for high-impact problems such as planning scheduling routing pricing and inventory.
Build high-fidelity simulators and rigorous benchmarks that mirror real-world constraints uncertainty and multi-objective trade-offs.
Bridge research into practice by partnering with our engineers to rapidly prototype solutions and implement successful research ideas.
You may be a good fit if you
Hold a degree in Computer Science Operations Research Industrial Engineering or Applied Mathematics (MS/PhD preferred) or have equivalent research/ industry experience.
Have depth in operations or mathematical optimization (LP/MIP/MINLP CP stochastic/robust optimization causal inference).
Have experience in novel machine learning techniques for Operations Research.
Are comfortable implementing and debugging large-scale optimization 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
