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Behavior Analyst Ai Research Jobs in Renton, WA (NOW HIRING)

Allen Institute

AI Research Scientist

Seattle, WA · On-site

... systems or analytics delivery. At the Allen Institute, we believe that science is for everyone ... Assess model behavior, limitations, and interpretability in scientific contexts, and communicate ...

Allen Institute

AI Research Scientist

Seattle, WA

... systems or analytics delivery. At the Allen Institute, we believe that science is for everyone ... Assess model behavior, limitations, and interpretability in scientific contexts, and communicate ...

Cobot

AI Research Engineer

Seattle, WA · On-site

Develop and evaluate reinforcement learning algorithms and frameworks for autonomous behaviors. * Rapidly prototype and deploy research ideas into working code to accelerate AI experimentation cycles.

Meta

AI Research Engineer

Bellevue, WA

$183K/yr

We own the loop from training data to production behavior to measurement. The impact of your work ... scale AI Research Engineer Responsibilities: * Contribute to the training of next-generation ...

Meta

AI Research Scientist, Robotics

Redmond, WA

$219K/yr

Investigate paradigms that can deliver a spectrum of embodied behaviors - from simulated characters ... Experience with manipulating and analyzing complex, large scale, high-dimensionality data from ...

Meta

AI Research Scientist, Robotics

Redmond, WA

$154K/yr

Investigate paradigms that can deliver a spectrum of embodied behaviors - from simulated characters ... Experience with manipulating and analyzing complex, large scale, high-dimensionality data from ...

Axon

Senior Agentic AI Research Scientist

Seattle, WA · On-site +1

$112K - $142K/yr

As a research scientist at Axon you will play a crucial role in developing AI solutions that ... Strong understanding of video analysis and temporal modeling as well as computer vision ...

Axon

Senior Agentic AI Research Scientist

Seattle, WA · On-site

$112K - $142K/yr

As a research scientist at Axon you will play a crucial role in developing AI solutions that ... Strong understanding of video analysis and temporal modeling as well as computer vision ...

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All JobsBehavior Analyst Ai Research JobsBehavior Analyst Ai Research Jobs in Renton, WA

Behavior Analyst Ai Research information

See Renton, WA salary details

$43.3K

$83.2K

$111.9K

How much do behavior analyst ai research jobs pay per year?

As of Jul 27, 2026, the average yearly pay for behavior analyst ai research in Renton, WA is $83,198.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,100.00 and $110,800.00 per year, depending on experience, location, and employer.

What is the difference between Behavior Analyst Ai Research vs Behavior Analyst?

AspectBehavior Analyst Ai ResearchBehavior Analyst
Required CertificationsBCBA or BCaBA, specialized in AI applicationsBCBA or BCaBA
Work EnvironmentResearch labs, tech companies, academic settingsClinics, schools, community settings
Industry UsageAI integration in behavioral analysis, data modelingBehavior intervention, assessment, and treatment

Behavior Analyst Ai Research focuses on applying behavioral principles to AI development and data analysis, often within research or tech environments. In contrast, Behavior Analysts work directly with clients to implement behavioral interventions. While both roles require BCBA certification, their work settings and primary goals differ significantly.

What are the key skills and qualifications needed to thrive as a Behavior Analyst AI Researcher, and why are they important?

To thrive as a Behavior Analyst AI Researcher, you need a strong background in behavioral science, data analysis, and machine learning, typically supported by an advanced degree in psychology, computer science, or a related field. Familiarity with programming languages such as Python or R, statistical analysis tools, and experience with AI frameworks like TensorFlow or PyTorch are commonly required. Analytical thinking, creativity, and effective communication are essential soft skills for interpreting data and collaborating with interdisciplinary teams. These competencies are crucial for designing innovative AI models that accurately interpret and predict complex behavioral patterns.

What are Behavior Analyst AI Researchers?

Behavior Analyst AI Researchers are professionals who combine expertise in behavioral science with artificial intelligence to study, analyze, and improve human behavior through technology. They use AI tools and machine learning algorithms to collect and interpret behavioral data, design interventions, and develop models that can predict or influence behavior. Their work is often used in fields like healthcare, education, and organizational management to create more effective programs and solutions. By integrating AI, they can scale behavioral interventions and provide personalized recommendations based on data-driven insights.

How do Behavior Analyst AI Research professionals typically collaborate with interdisciplinary teams?

Behavior Analyst AI Research professionals often work closely with software engineers, data scientists, and clinical experts to develop and refine AI models that support behavioral interventions. Collaboration usually involves sharing insights from behavioral analysis, contributing to data annotation and interpretation, and helping design experiments to validate AI-driven solutions. Regular meetings, cross-functional workshops, and feedback sessions are common, ensuring that AI systems are both scientifically sound and practically useful. This collaborative environment helps integrate behavioral science principles into cutting-edge AI applications.
What are popular job titles related to Behavior Analyst Ai Research jobs in Renton, WA? For Behavior Analyst Ai Research jobs in Renton, WA, the most frequently searched job titles are:
What job categories do people searching Behavior Analyst Ai Research jobs in Renton, WA look for? The top searched job categories for Behavior Analyst Ai Research jobs in Renton, WA are:
What cities near Renton, WA are hiring for Behavior Analyst Ai Research jobs? Cities near Renton, WA with the most Behavior Analyst Ai Research job openings:
Behavior Analyst Ai Research jobs near you
Infographic showing various Behavior Analyst Ai Research job openings in Renton, WA as of July 2026, with employment types broken down into 60% Full Time, 24% Part Time, and 16% Contract. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $83,198 per year, or $40 per hour.
AI Research Scientist

AI Research Scientist

Allen Institute

Seattle, WA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago

Job description

AI Research Scientist
The mission of the Allen Institute is to unlock the complexities of bioscience and advance our knowledge to improve human health. Using an open science, multi-scale, team-oriented approach, the Allen Institute focuses on accelerating foundational research, developing standards and models, and cultivating new ideas to make a broad, transformational impact on science.
Our scientific teams address high-risk, high-reward questions in biology through AI - inventing computational methods and large-scale AI/ML models that turn complex biological data into scientific insight. This work spans collaborations across Allen Institute Accelerators, including Brain Science, Cell Science, Immunology, Neural Dynamics, and the Seattle Hub for Synthetic Biology, as well as external academic and institutional partners.
About the Role
We are seeking a curious and motivated AI Research Scientist to invent and advance machine learning methods for biological discovery at scale. Rather than primarily applying established techniques, this role focuses on methodological innovation - designing, testing, and refining new AI/ML models that operate across diverse and large-scale biological data, and translating complex scientific questions into computational frameworks.
Working closely with scientists and engineers, the AI Research Scientist evaluates model performance, limitations, and scientific relevance, and contributes to the broader scientific community through publications, benchmarks, and reusable methods. The role operates in high-ambiguity, research-driven problem spaces where outcomes are uncertain, and is accountable for scientific contribution and methodological advancement rather than for production systems or analytics delivery.
At the Allen Institute, we believe that science is for everyone - and should be open to everyone. We are dedicated to combating biases and reducing barriers to STEM careers more broadly. We strive to make the Allen Institute a place where everyone feels like they belong and are empowered to do their best work in a supportive environment.
We are an equal-opportunity employer and strongly encourage people from all backgrounds to apply for our open positions.
Essential Functions
  • Develop, train, and evaluate large-scale AI/ML models across diverse biological data types, with attention to scientific relevance and rigor
  • Investigate new modeling paradigms - such as representation learning, generative models, foundation models, and multimodal learning - to address open biological research questions
  • Translate complex scientific questions into well-posed computational frameworks, experiments, and benchmarks
  • Assess model behavior, limitations, and interpretability in scientific contexts, and communicate findings clearly to scientific and technical collaborators
  • Design and run experiments at scale, including benchmarking and model analysis, using modern training and evaluation environments
  • Build reusable modeling frameworks and reference implementations that accelerate research across teams
  • Document methods and support reproducibility and open science practices, including code, data, and benchmark release where appropriate
  • Contribute to the broader scientific community through publications, collaborations, conference participation, and methodological work
  • Participate in institute-wide initiatives, workshops, and seminars to promote scientific and engineering excellence through technical leadership and cross-disciplinary collaboration

Key Deliverables
  • Novel AI/ML models, algorithms, or representations developed for scientific problems
  • Research publications, benchmarks, and methodological contributions
  • Reusable modeling frameworks and reference implementations
  • Scientific insights enabled by advanced AI-driven analysis

Note: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This description reflects management's assignment of essential functions; it does not proscribe or restrict the tasks that may be assigned
Required Education and Experience
  • PhD in Computer Science, Applied Mathematics, Statistics, Computational Biology, or a related field; or equivalent combination of degree and experience
  • Demonstrated experience developing and evaluating novel AI/ML approaches for complex, large-scale datasets
  • Proficiency in Python and modern deep learning frameworks (e.g., PyTorch, JAX)
  • Strong foundation in machine learning, deep learning, and scientific computing, including experimentation, benchmarking, and model analysis

Preferred Education and Experience
  • PhD
  • Research experience applying machine learning to biological, genomic, or other life-science data (e.g., foundation models, taxonomy or sequence classification, multimodal or signal data)
  • Experience building and deploying scalable research tooling, pipelines, or command-line applications that empower scientific R&D
  • Familiarity with large-scale training and evaluation environments and with scientific computing and modeling libraries
  • A record of methodological contribution - publications, benchmarks, open-source releases, or other externally visible scientific work
  • Excellent written and verbal communication skills, with the ability to collaborate effectively in a multidisciplinary team environment
  • Demonstrated ability to work independently and manage multiple research efforts simultaneously while meeting milestones

What Distinguishes This Role
  • Focuses on inventing and advancing AI/ML methods, not primarily applying established techniques
  • Operates in high-ambiguity, research-driven problem spaces where outcomes are uncertain
  • Accountable for scientific contribution and methodological advancement, rather than production systems or analytics delivery
  • Distinct from Data Scientist roles, which emphasize applied modeling and insight generation
  • Distinct from Scientific Data Engineer roles, which emphasize data pipelines, infrastructure, and ML operations

Physical Demands
  • Fine motor movements in fingers/hands to operate computers and other office equipment

Position Type / Expected Hours of Work
  • This role requires onsite work and is expected to work onsite for the majority of the working hours. We are a Washington State employer, and the primary work location for Allen Institute employees is 700 Dexter Ave N.; any remote work must be performed in Washington State

Travel
  • Attendance and participation in national and international conferences as appropriate

Additional Comments
  • Please note, this opportunity may provide work visa sponsorship
  • Please note, this opportunity offers relocation assistance

Annualized Salary Range
  • $146,600 - $183,250 *

* Final salary depends on required education for the role, experience, and level of skills relevant to the role, along with work location, where applicable
Benefits
  • Employees (and their families) are eligible to enroll in benefits per eligibility rules outlined in the Allen Institute's Benefits Guide. These benefits include medical, dental, vision, and basic life insurance. Employees are also eligible to enroll in the Allen Institute's 401k plan. Paid time off is also available as outlined in the Allen Institute's Benefits Guide. Details on the Allen Institute's benefits offering are located at the following link to the Benefits Guide: https://alleninstitute.org/careers/benefits.

It is the policy of the Allen Institute to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Allen Institute will provide reasonable accommodations for qualified individuals with disabilities.

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