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Cognition Lab Jobs (NOW HIRING)

Software Engineer, Infrastructure

New York, NY ยท On-site

$189K - $224K/yr

Scaled Cognition is the world's only model lab dedicated exclusively to customer experience and pioneering agentic models purpose-built for reliable action-taking enterprise applications. Backed by ...

We are an applied AI lab building end-to-end software agents. We're the makers of Devin, the first ... You will be a crucial contributor to Cognition's revenue growth and Devin's development. You'll ...

Software Engineer, Infrastructure

New York, NY ยท On-site

$189K - $224K/yr

Scaled Cognition is the world's only model lab dedicated exclusively to customer experience and pioneering agentic models purpose-built for reliable action-taking enterprise applications. Backed by ...

Forward Deployed Marketer

San Francisco, CA ยท On-site

$21.25/hr

We are an applied AI lab building end-to-end software agents. We're the makers of Devin, the first ... About The Role As a Forward Deployed Marketer at Cognition, you'll embed with a portfolio of Majors ...

Scaled Cognition is the world's only model lab dedicated exclusively to customer experience and pioneering agentic models purpose-built for reliable action-taking enterprise applications. Backed by ...

We are an applied AI lab building end-to-end software agents. We're the makers of Devin, the first ... About the Role Cognition is winning in a handful of industries, and the next phase of growth ...

Applied AI Transformation Manager

New York, NY ยท On-site

$124K - $127K/yr

We are an applied AI lab building end-to-end software agents. We're the makers of Devin, the first ... This role embeds with a select set of Cognition's strategic accounts for upfront strategy work ...

Scaled Cognition is the world's only model lab dedicated exclusively to customer experience and pioneering agentic models purpose-built for reliable action-taking enterprise applications. Backed by ...

We are an applied AI lab building end-to-end software agents. We're the makers of Devin, the first ... You will be a crucial contributor to Cognition's revenue growth and development. You'll work ...

Partner Deployed Engineer

Austin, TX ยท On-site

$115K/yr

We are an applied AI lab building end-to-end software agents. We're the makers of Devin, the first ... About the Role At Cognition, partners are force multipliers . Partner Deployed Engineers (Partner ...

Director, Enterprise Sales (Central)

Austin, TX ยท On-site

$160K - $180K/yr

We are an applied AI lab building end-to-end software agents. We're the makers of Devin, the first AI software engineer. Cognition is building collaborative AI teammates that enable engineers to ...

We are an applied AI lab building end-to-end software agents. We're the makers of Devin, the first ... Scale Cognition's developer ambassador program, recruiting, onboarding, and supporting technical ...

We are an applied AI lab building end-to-end software agents. We're the makers of Devin, the first AI software engineer. Cognition is building collaborative AI teammates that enable engineers to ...

Showing results 21-40

Cognition Lab information

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$9

$25

$45

How much do cognition lab jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for cognition lab in the United States is $25.25, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $27.88 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in a cognition lab position, and why are they important?

To thrive in a Cognition Lab, you typically need a background in psychology, neuroscience, or a related field, along with experience in experimental design and data analysis. Familiarity with software for cognitive testing (e.g., E-Prime, PsychoPy), statistical tools (such as SPSS or R), and often IRB certifications are valuable assets. Strong attention to detail, critical thinking, and collaborative communication are standout soft skills. These abilities ensure precise data collection and analysis, ethical research practices, and effective teamwork in advancing cognitive science discoveries.

How can I become a cognition lab?

To work in a cognition lab, candidates typically need a background in psychology, neuroscience, or related fields, along with research experience and familiarity with experimental methods and data analysis tools. Pursuing relevant degrees, gaining research experience, and developing skills in statistical software can improve chances of joining a cognition lab as a researcher or assistant.

What is a cognition lab?

A Cognition Lab job typically involves conducting research on human thought processes, including perception, memory, decision-making, and problem-solving. Employees may design experiments, collect and analyze data, and contribute to scientific studies on cognitive functions. These roles are often found in academic institutions, research centers, or tech companies focusing on artificial intelligence and human-computer interaction. Skills in psychology, neuroscience, data analysis, and programming may be valuable.

What are the typical daily responsibilities in a cognition lab position?

In a Cognition Lab role, your daily tasks often include designing and running experiments, recruiting and testing participants, and analyzing cognitive data using specialized software. You may also assist with literature reviews, prepare reports or presentations, and help maintain lab equipment or databases. Collaboration with principal investigators, graduate students, and other research staff is common, ensuring that projects move forward smoothly. This environment offers a mix of independent tasks and team-based problem-solving, giving you a well-rounded experience in cognitive research.

More about Cognition Lab jobs
What states have the most Cognition Lab jobs? States with the most job openings for Cognition Lab jobs include:
Infographic showing various Cognition Lab job openings in the United States as of August 2026, with employment types broken down into 2% As Needed, 73% Full Time, 12% Part Time, and 13% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $52,516 per year, or $25.2 per hour.

Software Engineer, Infrastructure

Scaled Cognition

New York, NY โ€ข On-site

$189K - $224K/yr

Full-time

Re-posted 13 days ago


Job description

Scaled Cognition is the world’s only model lab dedicated exclusively to customer experience and pioneering agentic models purpose-built for reliable action-taking enterprise applications. Backed by Khosla Ventures, the company’s flagship Agentic Pretrained Transformer (APT) eliminates hallucinations, enforces enterprise policies and increases reliability in real-world CX workflows. Founded by serial AI entrepreneurs, former Microsoft Corporate Vice President of Conversational AI Dan Roth, and UC Berkeley AI Professor Dan Klein, and built by a team of world-class PhD researchers and engineers, Scaled Cognition advances the science of agentic AI to deliver safe, policy-aligned automation that enterprises can trust.

As a Software Engineer, Infrastructure at Scaled Cognition you will:

  • Design and improve inference infrastructure that powers our AI models.

  • Benchmark, profile, monitor and analyze latency and throughput and drive improvements throughout the stack.

  • Collaborate with research scientists and product engineers to streamline the end-to-end process from model development to production deployment.

You might be the right person for the job if you:

  • Are a continuous learner and are eager to explore new tools and technologies.

  • Thrive in a dynamic environment and are comfortable adapting to changing priorities while maintaining a focus on delivering high-quality solutions.

  • Have successfully navigated projects with significant product and technical ambiguity, and you excel at the intersection of complex technical challenges and user-focused solutions.

Key Qualifications:

  • Experience deploying systems on major cloud platforms (AWS, GCP, Azure).

  • Prior experience designing and implementing GPU infrastructure / tooling.

  • A strong sense for scalability and developing secure, highly reliable environments.