or apply directly on Evolver's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 6 days Evolver's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- No 0% of Evolver's roles list one
- Ghost-job risk at Evolver
- high 11 stale, 0 reposted of 20 open
- Hiring momentum
- 22 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Evolver's own greenhouse board since 2026-08-03. Full hiring picture for Evolver.
About this role
As a Research Scientist at Evolver, you will focus on developing methodologies for intelligent autonomous systems that can adapt to changing environments and make decisions under uncertainty. Your work will involve mathematical modeling, optimization, and implementing algorithms that enhance the capabilities of AI systems. Collaboration with engineering and product teams will be key to translating research into practical applications.
- benefits
- 1/5
- freshness
- 5/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Evolver as an employer.
What you need
- Ph.D. or thesis-based Master's degree in Electrical Engineering, Control, Robotics, Applied Mathematics, Operations Research, Computer Science, Systems Engineering, or a related quantitative field
- Strong foundation in mathematical modeling and systems thinking
- Research experience in dynamical systems and control, state estimation, optimization or optimal control, stochastic systems, sequential decision-making, planning under uncertainty, reinforcement learning, or autonomous systems
- Strong Python or equivalent scientific computing skills
- Ability to translate mathematical concepts into computational methods and working prototypes
Nice to have
- Research experience in model predictive control, stochastic control, POMDPs, Bayesian estimation, system identification, hybrid systems, multi-agent systems, or formal verification
- Experience with robotics, autonomous vehicles, aerospace, industrial automation, or other complex autonomous systems
- Strong publication record or demonstrated research impact
- Experience transferring research into production or real-world systems
- Familiarity with modern machine learning, foundation models, or agentic AI systems
Worth weighing
- No salary listed
- No minimum years of industry experience required, which may appeal to recent graduates
- Focus on research ability and depth of thinking over years of experience may attract a diverse candidate pool
Summarised from Evolver's posting. Read the full original.
Listed by Evolver on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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