artificial intelligence engineer – remote

data engineer

ai/ml computational science specialist Jobs in Seattle

ai/ml computational science specialist

artificial intelligence engineer – remote Jobs in Seattle

artificial intelligence product intern Jobs in Seattle

artificial intelligence product intern

business operations analyst intern Jobs in Seattle

business operations analyst intern

machine learning intern

Delta Dental

<div>Are you looking for an exciting summer opportunity to gain valuable skills and make a meaningful impact across Washington state&rsquo;s communities? Support TriForza as an Artificial Intelligence Product Intern and gain hands on experience exploring how artificial intelligence can improve healthcare technology solutions. You will work on real projects based on your experience, which may include building or prototyping AI models, developing data visualizations, and researching emerging AI approaches such as agent-based workflows. Through this work, you will help evaluate how new AI capabilities could support product innovation and operational efficiency while developing key technical and professional skills in a dynamic, collaborative environment.

Skills you will gain during the internship:
<ul>
<li>Hands-on experience prototyping and evaluating artificial intelligence and machine learning solutions for healthcare technology applications.</li>
<li>Experience analyzing data and creating visualizations to communicate insights and support data-driven decision-making.</li>
<li>Exposure to emerging artificial intelligence technologies and their potential to drive innovation and improve operational efficiency.</li>
<li>Building meaningful connections with colleagues, mentors, and other professionals.</li>
<li>Engaging in workshops, training sessions, and other learning initiatives to support career development.</li>
<li>Applying academic knowledge to address real-world workplace challenges and deliver results.</li>
</ul>
Washington Dental Service and its affiliates, including Arcora Foundation, Delta Dental of Washington, and TriForza, are committed to improving oral and overall health across Washington state and beyond. Guided by our vision, we succeed through our deep commitment to our shared OneTeam Values: accountability, courage, curiosity, inclusion, and integrity. Our Values are at the center of the work we do and how we interact with one another.

This non-exempt internship pays an hourly rate of $28.00 and is full-time (40 hours per week). Interns are expected to work during our standard business hours, which are from 8 AM to 5 PM, Monday through Friday. Interns are typically required to work onsite at our Seattle office every Tuesday, with the option for remote work on other days based on departmental needs.

We offer interns highly competitive medical, dental, and vision plans, along with a generous 401(k) plan, wellness dollars, and transportation reimbursement for commuting to the office. Interns also receive paid holidays, paid time off, and sick time throughout their internship.

Essential Responsibilities include the following: The list of responsibilities listed is not intended to be comprehensive. Washington Dental Service and its affiliates, including Arcora Foundation, Delta Dental of Washington, and TriForza reserve the right to change the responsibilities at any time with or without notice.

Depending on your experience and interests, you may support projects focused on:
<ul>
<li>Collaborating with the AI product team to explore how artificial intelligence can support product development and improve healthcare technology solutions.</li>
<li>Contributing to the development or prototyping of AI and machine learning models based on your technical background and experience.</li>
<li>Creating data visualizations or analytical outputs that help surface insights and make complex data easier for internal teams or customers to understand.</li>
<li>Researching emerging AI technologies and industry trends to identify opportunities for new product capabilities or workflow improvements.</li>
<li>Synthesizing findings and developing recommendations that help the team evaluate potential AI use cases and solutions.</li>
</ul>
The experience, skills, and education needed to succeed in the position are outlined below. These requirements are representative of the knowledge, skills, and abilities required to successfully perform the essential functions of the role.
<ul>
<li>Currently pursuing an associates, bachelors, or master&rsquo;s degree in Artificial Intelligence, Machine Learning, Software Engineering, Computer Science, Informatics, Information Systems, Data Science, Data Analytics, or related field</li>
<li>Demonstrated experience tackling open-ended problems and building solutions through coursework, research, or personal projects.</li>
<li>Familiarity with current AI tools or platforms, such as ChatGPT, Claude, or similar generative AI technologies.</li>
<li>Experience using Power BI, Tableau, Excel, SQL, Python, or R to support analysis or reporting is a plus.</li>
<li>Experience with machine learning tools (PyTorch, TensorFlow, scikit-learn, NumPy, Pandas, Jupyter/Colab), Git, and computer vision tools like OpenCV is a plus.</li>
<li>Displays a high level of accountability by effectively managing tasks independently, meeting goals, and delivering high-quality work while staying dedicated to team objectives.</li>
<li>Ability to collect relevant information, assess data, and make thoughtful contributions to projects or problem-solving activities.</li>
<li>Enthusiastic about collaborating with diverse teams, contributing to an inclusive environment, and seeking opportunities for growth and improvement within the internship and organization.</li>
<li>Strong interpersonal skills, with the ability to build relationships across teams.</li>
<li>Capable of working both independently and collaboratively in team settings.</li>
</ul>
Accessibility and Accommodations for Interns: We are committed to creating an inclusive and accessible environment for all interns. If you require any accommodations during the interview process or throughout your internship, please let our Recruiting team know.

Washington Dental Service and its affiliates, including Arcora Foundation, Delta Dental of Washington, and TriForza are Equal Opportunity employers. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

We are committed to the highest standards of information security and HIPAA compliance, ensuring the confidentiality, integrity, and protection of all data. All staff are expected to support this commitment by following relevant policies.</div>

Artificial Intelligence Product Intern

Vilya

<div>
 Vilya is a computational biotechnology company creating a novel class of medicines to precisely target disease biology. We believe computational approaches are an integral, if not foundational, component of drug discovery and development. Our platform is built on ground-breaking research in advanced computational approaches and taps into uncharted chemical space to design new molecular structures not found in nature.
 
 
 We are harnessing the power of our platform to go after previously impossible targets in an array of indications. Vilya&rsquo;s ultimate goal is to solve some of the most challenging unmet medical needs that exist today.
 
 
 Our Vision: Harness a revolution in technology and biology to better human health
 
 
 Our Mission: Build an independent, leading biotech company founded on intelligent drug design to cure the incurable
 
 
 We think from atoms to bits &ndash; and everywhere in between; now, we are seeking a highly-motivated, creative, and knowledgeable Machine Learning Engineer to help us build a highly-scalable computational drug discovery platform.
 
 
 Vilya is a team-first organization, and we believe onsite work is essential to how we collaborate, move quickly, and build a strong culture. This is an onsite position in our Seattle office. Join us and help make a difference for patients!
 
 
 RESPONSIBILITIES:
 
 
 <ul>
 <li>
 Develop and maintain the infrastructure to support machine learning workflows for drug discovery at scale.
 </li>
 <li>
 Implement and optimize algorithms for data processing, model training and model deployment.
 </li>
 <li>
 Collaborate with and support the computational scientists at Vilya to help build a world-class computational macrocycle drug discovery pipeline.
 </li>
 <li>
 Participate in the development and enhancement of our software platform to ensure that our codebase is reliable, efficient, secure, and scalable.
 
 
 </li>
 </ul>
 BASIC QUALIFICATIONS:
 
 
 <ul>
 <li>
 1+ year of experience developing and maintaining ML pipelines
 </li>
 <li>
 Understanding of general software development concepts, including git, containers, testing, cloud computing, etc.
 </li>
 <li>
 Experience with modern deep learning frameworks, like PyTorch or JAX
 </li>
 <li>
 Experience with Python scientific computing tools, such as numpy, scipy, pandas, etc.
 </li>
 <li>
 Experience working with big data pipelines
 </li>
 <li>
 Experience working within Linux environments
 </li>
 <li>
 Ability to effectively communicate with a team of diverse backgrounds
 </li>
 <li>
 B.S. in computer science (or equivalent industry experience)
 
 
 </li>
 </ul>
 PREFERRED QUALIFICATIONS:
 
 
 <ul>
 <li>
 A solid background in machine learning, including linear algebra, statistics, and calculus
 </li>
 <li>
 Experience with modern generative modeling frameworks, such as flow matching and diffusion
 </li>
 <li>
 Familiarity with techniques for modeling point-clouds or graphs (GNNs, equivariant transformers, etc.)
 </li>
 <li>
 Familiarity with basic cheminformatics libraries and tools (RDKit, OpenBabel, PyMol, etc.)
 </li>
 <li>
 An interest in drug discovery and working with biochemical data
 
 
 </li>
 </ul>
 VILYA BENEFITS:
 
 
 <ul>
 <li>
 Opportunity to work in a disruptive startup with a talented, experienced, and dedicated team
 </li>
 <li>
 401(k) plan with employer matching for contributions
 </li>
 <li>
 Stock options
 </li>
 <li>
 Excellent medical, dental, and vision coverage
 </li>
 <li>
 Open, flexible vacation policy
 </li>
 <li>
 Support to attend professional conferences meaningful to your career growth
 </li>
 <li>
 Monthly cell phone and internet stipend
 </li>
 <li>
 Monthly wellness and commuter stipend
 
 
 </li>
 </ul>
 Salary range for Seattle, WA : $154,000 USD - $174,000 USD
 
 
</div>

Machine Learning Engineer

Software Engineer, Machine Learning

Zoom Communications

<div><div><ul><li>Seattle, Washington, United States
</li></ul></div><div><ul><li>Full time</li></ul></div></div>
 <div>What you can expect
As a Machine Learning Engineer on our GenAI Engineering team, you will play a critical role in shaping the future of Zoom AI through innovative engineering solutions. You'll take the lead in developing and enhancing AI algorithms, techniques, and solutions for our AI Companion product. Working closely with experienced researchers and engineers, you'll be part of a dynamic team dedicated to achieving groundbreaking results in agentic AI. 
About the Team
The GenAI Engineering Team is committed to revolutionizing productivity in communication platforms through the delivery of AI Companion functionalities. We are passionate about leveraging cutting-edge technology to drive significant advancements in how people communicate and collaborate.
Responsibilities<ul>
<li>
Building agentic systems that employ multi-step reasoning to plan task execution, intelligently orchestrate tool chains, and adapt integration strategies based on task requirements and environmental feedback</li>
<li>
Developing tool orchestration frameworks that enable agents to call APIs, use external tools, and coordinate workflows.</li>
<li>
Implementing evaluation frameworks and metrics for assessing agent reliability, latency, and success rate.</li>
<li>
Collaborating cross-functionally with product, research, and infrastructure teams to bring new agentic workflows into Zoom AI Companion.</li>
</ul>
What we&rsquo;re looking for<ul>
<li>
Possess a Bachelor's degree in Computer Science, AI, Machine Learning, Distributed Systems, or a related field.</li>
<li>
Have 5+ years of experience in machine learning, AI software, or related engineering.</li>
<li>
Be proficient in one or more programming languages such as Python, C, C++, or CUDA, with experience in building scalable software systems.</li>
<li>
Understand deep learning frameworks such as PyTorch, TensorFlow, or similar.</li>
<li>
Demonstrate experience in designing and developing AI agents or autonomous systems, with a strong understanding of agent architectures and integration patterns.</li>
<li>
Collaborate with cross-functional teams and present technical concepts to both technical and non-technical audiences.</li>
</ul>
Salary Range or On Target Earnings:
Minimum:
$137,700.00
Maximum:
$275,400.00
In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.
Note: Starting pay will be based on a number of factors and commensurate with qualifications &amp; experience.
We also have a location based compensation structure; there may be a different range for candidates in this and other locations.
Ways of Working 
Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.
Benefits 
As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways.
About Us 
Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars. 
We&rsquo;re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment. 
Our Commitment
At Zoom, we believe great work happens when people feel supported and empowered. We&rsquo;re committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know&mdash;we&rsquo;re here to support you at every step.
We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records and any qualified applicants requiring reasonable accommodations in accordance with the law.
If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.
Think of this opportunity as a marathon, not a sprint! We're building a strong team at Zoom, and we're looking for talented individuals to join us for the long haul. No need to rush your application &ndash; take your time to ensure it's a good fit for your career goals. We continuously review applications, so submit yours whenever you're ready to take the next step.</div>

Machine Learning Engineer - AI Agent

Apple

We&rsquo;re starting to see the incredible potential of multimodal foundation and large language models, and many applications in the computer vision and machine learning domain that previously appeared infeasible are now within reach. We are looking for a highly motivated and skilled Machine Learning Integration Engineer to join our team in the Video Computer Vision group and help us enable that potential for realtime human understanding on Apple devices. The Video Computer Vision org has pioneered human-centric real-time features such as FaceID, FaceKit, and Gaze and Hand gesture control which have changed the way millions of users interact with their devices. We balance research and product requirements to deliver Apple quality, pioneering experiences, innovating through the full stack, and partnering with HW, SW and AI teams to shape Apple's products and bring our vision to life. 
 
Description 
 
As part of the Video Computer Vision (VCV) team, you will support our ML development and continuously improve our features. Working closely with ML algorithms engineers, data scientists and quality assurance teams, you&rsquo;ll help deploy state-of-the-art computer vision technologies on Apple devices, balancing performance with the compute and power constraints of on-device inference.&quot;,&quot;responsibilities&quot;:&quot;Develop applications and tools for algorithm evaluation, prototyping, and technology demonstrations. 
 
Support teams across Apple by integrating ML and CV components into production systems. 
 
On-device integration of CV/ML algorithms. 
 
Preferred Qualifications 
 
Experience with CoreFoundation, RealityKit and CoreML. 
 
Hands-on experience with CI/CD pipelines and practices. 
 
Experience with live camera streaming applications: Understanding of real-time video pipelines, image transformations, and rendering loops. 
 
Familiarity with common computer vision techniques (e.g., object detection, segmentation, tracking, pose estimation), sequence models for real-time inference and LLMs optimized for on-device performance. 
 
Minimum Qualifications 
 
Bachelor's degree in Computer Science or related discipline, and 2 years relevant industry experience. 
 
Strong foundational knowledge in Computer Science. 
 
Extensive programming experience in Python, Swift, C++. 
 
Experience working with PyTorch. 
 
Experience with machine learning model development lifecycle, including data preprocessing, model training, evaluation, and deployment. 
 
Foundational understanding of machine learning: ML algorithms and development pipelines, with the ability to work effectively with ML practitioners and integrate ML components into production systems. 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

On-Device Machine Learning Integration Engineer

Foundry10

<div>Description:

foundry10 is an education research organization with a philanthropic focus on expanding ideas about learning and creating direct value for youth. In collaboration with a wide range of partners, we surface, evaluate, and share opportunities to better support youth learning both inside and outside the classroom. Building on more than a decade of impactful work, our unique approach blends applied and basic research, philanthropy, and education programs rooted in evidence-based best practices. 
Summary of Role
Machine Learning can provide powerful tools for enhancing learning in and outside of the classroom, and for addressing pressing needs in K-12 and post-secondary education. Senior Researcher, Machine Learning Engineer will be a core team member on a new multi-project focused ML Learning Team at foundry10. This role involves both independent research and analysis as well as multidisciplinary collaboration across a project team and potentially in partnership with external institutions.
Applicants for this role should have a strong interest in education and desire to improve student outcomes across multiple dimensions. Applicants should have deep expertise in appropriate domains (Machine learning principles, software design &amp; development, ethics and privacy), bring novel ideas and expertise, and experience-based insights. Qualified candidates will have advanced research skills (e.g., data analysis techniques, knowledge of study design, visualizing and interpreting data) and be comfortable with sharing generalizable findings using different mediums alongside peer-reviewed publications.
This position reports to the Director of Research. The salary range for this position is $191,025 to $318,375 per year, depending on experience.
Areas of Interest
The Machine Learning Engineering Senior Researcher will have a focus on developing tools and pursuing research within both formal and informal K-12 and postsecondary education spaces. In particular, this position will focus on contributing to a multidisciplinary team of researchers and engineers with a preliminary focus on:<ul><li>
Exploring intersections and interplay between the strengths and gaps within the education system and ML/AI techniques and tools</li><li>
Considering principles and knowledge that are not being regularly utilized by traditional educational systems to broaden and shape new ideas around the intersection of learning and ML</li><li>
Design or repurpose tools for research pursuits, data collection, learning gains, and timely interventions</li><li>
Leverage strengths and knowledge in a coherent &amp; complimentary way with other experts in a collaborative team to generate new ideas to make a positive impact on student learning</li></ul>
Responsibilities
As part of a focused project team, this role in particular will:<ul><li>
Work collaboratively within the ML project team to provide new and interesting ideas for lines of research, outputs, tool development and/or other avenues to improve learning outcomes and opportunities for young people</li><li>
Collaborate to define output goals for the project team</li><li>
Participate in conceiving, designing, and evaluating, ML software and related hardware</li><li>
Develop predictive analytics, statistical modeling, data mining and machine learning algorithms</li><li>
Assist in crafting interesting and important questions regarding education in a technologically advancing world, specifically around the intersections of ML/AI in learning spaces.</li></ul>
More broadly as a researcher, this role will include:<ul><li>
Represent foundry10 at conferences, within publications, and face-to-face with a variety of community partners</li><li>
Actively read and engage with current research/techniques/technologies and bring new knowledge to the organization and their teams as a result of engagement with relevant topics</li><li>
Use various qualitative and quantitative methodologies, analysis strategies, and study designs as needed to address current research questions</li><li>
Make informed decisions about when to extend vs. redirect or close off lines of inquiry, depending on progress and likelihood of yielding useful and actionable insights</li><li>
Lead operations and partnership tasks (e.g., coordination of external data collection services, communication with external partners) as needed</li></ul>
This is not an exhaustive list, other duties may be assigned as necessary
Requirements:

Education and Experience<ul><li>
PhD in Machine Learning or related discipline, with 2-5 years relevant post-PhD work experience</li><li>
Experience in both academia and industry preferred</li><li>
Experience with Transformer-based Models (e.g. GPT, Llama)</li><li>
Practical experience independently leading and conducting applied research with minimal supervision</li><li>
Experience with machine learning data structures and models, software architecture, framework, and libraries</li><li>
End to End project design, execution and completion</li><li>
Experience on a variety of projects with multiple stakeholders</li><li>
Experience mentoring and/or managing students, junior researchers, and/or research staff</li><li>
Experience with design/development of software tools, preferably for a variety of age groups</li><li>
Nuanced understanding of technology in the life of kids both generally and within education contexts</li><li>
Nuanced understanding of AI tools, their strengths, limitations, and the direction of development</li></ul>
Skills, Abilities, and Knowledge<ul><li>
Strong background in research ethics, particularly research ethics involving children and adolescents</li><li>
Outstanding communication skills, both verbal and written, in interpersonal and research settings</li><li>
Ability to gain background knowledge and expertise in other fields within foundry10&rsquo;s research domains and interest areas that may intersect with your projects</li><li>
Proficiency with R, Python and relevant ML libraries</li><li>
Ability to manage time and track several project timelines at once</li><li>
Ability to work self-sufficiently and identify areas where processes could be improved</li><li>
Ability to cross multiple subject areas and quickly gain a basic understanding of new areas</li><li>
Ability to work collaboratively with researchers from other fields and specializations</li><li>
Ability to ask questions that deviate from the status quo to pursue innovative ways to approach learning</li><li>
Ability to manage and mentor junior researchers</li></ul>
We cannot sponsor visa applications, and to be considered for this position, you must be eligible to work in the United States. To protect our staff, partners, and the youth we serve, we require all foundry10 employees to adhere to our masking and COVID testing policies when working in person.
To be considered for this role, please submit the following materials:<ul><li>
Cover letter detailing how your interest and qualifications align with this position</li><li>
Resume or CV</li><li>
Peer-reviewed publication, white paper, project summary/report or similar document showcasing your work, clearly state your level of contribution and role</li></ul>
Applications without a cover letter will not be reviewed. The priority deadline is April 17, 2026, and we will accept applications on a rolling basis as needed after this date.
The interview process will consist of the following steps:
Step 1: Zoom audio interview (1 hour)
Step 2: Zoom video interview with Research team members (1. 5 to 2 hours)
Step 3: If needed, zoom video interview with the Director of Research and/or CEO (1 hour)
Step 4: Background and professional reference checks
foundry10 offers competitive salary and benefits that include:<ul><li>
A 4-day workweek</li><li>
A flexible and hybrid work schedule</li><li>
Full Medical, Dental, and Vision coverage for employees and their dependents</li><li>
$1,500 yearly education stipend</li><li>
$3,000 yearly wellness and hobby stipend, before taxes</li><li>
Generous paid time off that includes:
<ul><li>4 weeks of vacation time annually and additional accrual with tenure</li>
<li>12 paid holidays</li>
<li>56 hours of paid sick and safe leave frontloaded annually</li>
<li>Week-long office closures twice a year - each summer and winter</li>
</ul></li><li>401(k) retirement plan with employer match</li><li>
Flexible Spending Account and Dependent Care Reimbursement Account</li><li>
Employee Assistance Program at no cost to the employee</li><li>
Short Term Disability, Long Term Disability, Life Insurance paid fully by foundry10</li></ul>
Employment decisions are based on merit and business needs. foundry10 strives to provide a work environment free from discrimination and harassment because of a protected characteristic. The organization does not discriminate against employees or applicants based on race, color, creed, citizenship, status, national origin, ancestry, gender, genetic information, sexual orientation, gender expression or identity, age, religion, pregnancy or pregnancy-related condition, physical or mental disability, marital status, veteran status, political affiliation, or any other characteristic protected by law.
We are committed to providing reasonable accommodations to assist individuals with disabilities with the application and interviewing process as well as essential job functions.</div>

Senior Researcher, Machine Learning Engineer

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Amazon Industrial Robotics is seeking exceptional applied science talent to develop AI and machine learning systems that will enable the next generation of advanced manufacturing capabilities at unprecedented scale. We're building revolutionary software infrastructure that combines cutting-edge AI, large-scale optimization, and advanced manufacturing processes to create adaptive production control systems. 
 
As a Senior Applied Scientist, you will develop and improve machine learning systems that enable real-time manufacturing flow decisions. You will leverage state-of-the-art optimization and ML techniques, evaluate them against representative manufacturing scenarios, and adapt them to meet the robustness, reliability, and performance needs of production environments. You will invent new algorithms where gaps exist. You'll collaborate closely with software engineering, manufacturing engineering, robotics simulation, and operations teams, and your outputs will directly power the systems that determine what to build next, where to allocate resources, and how to maximize throughput. 
 
The ideal candidate brings deep expertise in optimization and machine learning, with a proven track record of delivering scientifically complex solutions into production. You are hands-on, writing significant portions of critical-path scientific code while driving your team's scientific agenda. If you're passionate about inventing the intelligent manufacturing systems of tomorrow rather than optimizing those of today, this role offers the chance to make a lasting impact on the future of automation. 
 
Key job responsibilities 
<ul><li>Identify and devise new scientific approaches for constraint identification, dispatch optimization, WIP release control, and predictive flow intelligence when the problem is ill-defined and new methodologies need to be invented</li><li>Lead the design, implementation, and successful delivery of scientifically complex solutions for real-time manufacturing flow optimization in production</li><li>Design and build ML models and optimization algorithms including constraint prediction, starvation risk forecasting, and dispatch optimization</li><li>Write a significant portion of critical-path scientific code with solutions that are inventive, maintainable, scalable, and extensible</li><li>Execute rapid, rigorous experimentation with reproducible results, closing the gap between simulation and real manufacturing environments</li><li>Build evaluation benchmarks that measure model performance against manufacturing outcomes including constraint utilization and throughput rather than traditional ML metrics alone</li><li>Influence your team's science and business strategy through insightful contributions to roadmaps, goals, and priorities</li><li>Partner with manufacturing engineering, robotics simulation, and applied intelligence teams to ensure scientific approaches are grounded in operational reality</li><li>Drive your team's scientific agenda and role model publishing of research results at peer-reviewed venues when appropriate and not precluded by business considerations</li><li>Actively participate in hiring and mentor other scientists, improving their skills and ability to deliver</li><li>Write clear narratives and documentation describing scientific solutions and design choices</li></ul></div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Knowledge of programming languages such as C/C++, Python, Java or Perl</li><li>PhD in computer science, operations research, machine learning, industrial engineering, or a related quantitative field, or Master's degree plus 4+ years building ML models and algorithms in applied settings</li><li>5+ years of experience applying machine learning, optimization, or decision systems to complex real-world problems</li><li>Proven track record of delivering scientifically complex solutions into production</li><li>Deep expertise in one or more of: combinatorial optimization, reinforcement learning, constraint programming, or stochastic modeling</li><li>Ability to design rigorous experiments, analyze results, and iterate quickly with reproducible baselines</li><li>Demonstrated technical contributions through publications, patents, or impactful production systems</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>8+ years of experience in applied science or research with progressive scope and impact</li><li>Experience with manufacturing systems, production scheduling, supply chain optimization, or industrial process control</li><li>Experience with Theory of Constraints or flow-based production optimization</li><li>Experience with real-time decision systems that operate under uncertainty</li><li>Experience with sim-to-real transfer or physics-informed machine learning</li><li>Experience with AWS services including SageMaker, and familiarity with MLOps practices</li><li>Experience with AI-native development practices and AI coding assistants</li><li>Knowledge of manufacturing execution systems (MES), SCADA, ERP, or related industrial software</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually</div>

Senior Applied Scientist, Industrial Robotics Group

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