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14 Adaption Research Engineer Jobs Hiring Near You

adaption

Founding Community Ops Lead

Toronto, ON · On-site

Establish our overall strategy for supporting developers, researchers and enterprises who want to have more control over their AI. * Build and maintain Adaption's developer community spaces (Discord ...

adaption

Founding Community Ops Lead

Charleston, WV · On-site

Establish our overall strategy for supporting developers, researchers and enterprises who want to have more control over their AI. * Build and maintain Adaption's developer community spaces (Discord ...

Adaption

Founding Community Ops Lead

New York, NY · On-site

Establish our overall strategy for supporting developers, researchers and enterprises who want to have more control over their AI. * Build and maintain Adaption's developer community spaces (Discord ...

adaption

Founding Community Ops Lead

San Francisco, CA · On-site

Establish our overall strategy for supporting developers, researchers and enterprises who want to have more control over their AI. * Build and maintain Adaption's developer community spaces (Discord ...

adaption

Applied Scientist

San Francisco, CA

Advance the Research Frontier: Drive original work on efficient, adaptive ML. including online ... Own implementation of data products at Adaption, addressing novel challenges in data, interaction ...

adaption

Product Designer

New York, NY

You'll collaborate closely with a tight knit design team, researchers and engineers to prototype ... Adaption Passport : Annual travel stipend to explore a country you've never visited. We're building ...

Adaption

Product Designer

New York, NY · On-site +1

You'll collaborate closely with a tight knit design team, researchers and engineers to prototype ... Adaption Passport : Annual travel stipend to explore a country you've never visited. We're building ...

adaption

Product Designer

San Francisco, CA

You'll collaborate closely with a tight knit design team, researchers and engineers to prototype ... Adaption Passport : Annual travel stipend to explore a country you've never visited. We're building ...

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adaption Jobs Information

What are the key skills and qualifications needed to thrive as a Research Engineer, and why are they important?

To thrive as a Research Engineer, a strong background in engineering principles, advanced mathematics, and scientific research—often supported by a relevant degree or postgraduate study—is essential. Familiarity with data analysis tools like MATLAB or Python, CAD software, and laboratory instrumentation is typically required, along with experience in technical report writing. Strong analytical thinking, creativity, and effective collaboration skills help Research Engineers excel in multidisciplinary teams. These competencies are vital for developing innovative solutions, advancing technology, and ensuring rigorous, impactful research outcomes.

How do Research Engineers typically collaborate with cross-functional teams during a project?

Research Engineers often work closely with scientists, data analysts, product managers, and software engineers to develop and implement innovative solutions. Collaboration usually involves regular meetings to align on project goals, sharing technical findings, and integrating research outcomes into product development. Effective communication and the ability to translate complex research concepts into actionable insights are key to ensuring the project progresses smoothly and meets its objectives.

What are research engineers?

Research engineers are professionals who apply scientific and engineering principles to conduct research, develop new products, and improve existing technologies. They typically work in laboratories, research and development departments, or academic settings, collaborating with scientists and other engineers. Their work often involves designing experiments, analyzing data, and creating prototypes to solve technical problems or advance knowledge in their field.

What is the job of a research engineer?

A research engineer develops and applies scientific principles to create new technologies, improve existing systems, or solve technical problems. They often work in laboratories or industrial settings, utilizing skills in engineering, data analysis, and experimentation to advance knowledge and innovation.

What is the difference between Research Engineer vs Data Scientist?

AspectResearch EngineerData Scientist
Required CredentialsTypically requires a master's or Ph.D. in engineering, computer science, or related fieldsUsually holds a master's or Ph.D. in statistics, computer science, or related areas
Work EnvironmentResearch labs, R&D departments, technology companiesData analysis teams, analytics departments, tech firms
Employer & Industry UsageUsed in engineering, manufacturing, aerospace, and tech industriesCommon in finance, healthcare, marketing, and tech sectors

Research Engineers focus on developing new technologies, prototypes, and engineering solutions, often working on hardware or system design. Data Scientists analyze large datasets to extract insights, build predictive models, and support decision-making. While both roles require strong technical skills and advanced degrees, their core functions and industry applications differ significantly.

What other companies are hiring for Research Engineer jobs?
What are the most popular categories at Adaption?
Infographic showing various Research Engineer job openings at Adaption in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 93% Physical, and 7% Remote job distribution.

Research Scientist / Research Engineer

Adaption

New York, NY • On-site, Remote

Full-time

Medical, PTO

Posted 24 days ago

Job description

Our research principles
Sweat the details. Technical excellence requires obsessing over every detail. We co-design serving, algorithms, and interface as one system to maximize efficiency and enable real-time adaptation.
Move with conviction. Extraordinary results require extraordinary effort. We operate with urgency as a unified team, concentrating resources on a few high-conviction bets where research and impact intersect.
Metrics that matter. The most intelligent system will increasingly be defined by building an algorithm that can interact with the world. Research ideas are tested through working products. If it doesn't improve what users can do, we question whether it matters. We share what moves the field; we don't optimize for paper count.
The role
This is a research role which is focused on real world impact. We care about building our frontier innovation around efficiency, gradient free exploration, real time learning and interface design. A revolution is underway where the cost of generating synthetic data is now low enough that we can treat the data space as malleable and something which can be optimized. We can steer synthetic data towards desirable properties and make previously invisible worlds with limited data coverage more visible. The most intelligent system will increasingly be defined by building an algorithm that can interact with the world. This means for the first time researchers who care about intelligence need also be obsessed with how a model interacts. If any of these statements resonate with you, we would like to hear from you.
Responsibilities
  • Innovation: innovate on our product to co-design algorithms that react real-time to product signal and feedback. Design new ways of giving feedback that drive better algorithms.
  • Cross-Stack Optimization: collaborate across software, hardware, and algorithmic domains to achieve system-wide efficiency gains
  • Measure what matters: we believe strongly that the ultimate signal of value is whether we have real world impact. Our current algorithms are capable of interacting with the world which is why product matters so much.

Qualifications
  • A PhD or equivalent research experience in a computer science field
  • 4-5+ years of industry experience
  • Deep expertise in at least one area: model efficiency, real time alignment or algorithmic optimization
  • Systems thinking ability to understand and optimize across the full ML stack
  • Strong programming skills in Python. Experience with deep learning frameworks (PyTorch, JAX, TensorFlow)
  • Knowledge of model optimization techniques (RLHF, finetuning)
  • Experience in an industry lab with computing at scale

Above all, we're looking for great teammates who make work feel lighter and aren't afraid to go out on a limb with bold ideas. You don't need to be perfect, but you do need to be adaptable. We encourage you to apply, even if you don't check every box.
About us
Most AI is frozen in place - it doesn't adapt to the world. We think that's backwards. Our mandate is to build efficient intelligence that evolves in real-time. Our vision is AI systems that are flexible, personalized, and accessible to everyone. We believe efficiency is what makes this possible - it's how we expand access and ensure innovation benefits the many, not the few. We believe in talent density: bringing together the best and most driven individuals to push the boundaries of continual adaptation. We're looking for builders and creative thinkers ready to shape the next era of intelligence.
Benefits
  • Flexible work: In-person collaboration in the Bay Area, a distributed global-first team, and team offsites.
  • Adaption Passport: Annual travel stipend to explore a country you've never visited. We're building intelligence that evolves alongside you, so we encourage you to keep expanding your horizons.
  • Lunch Stipend: Weekly meal allowance for take-out or grocery delivery.
  • Well-Being: Comprehensive medical benefits and generous paid time off.

Apply