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

consulting manager - ai & analytics Jobs in Seattle

consulting manager - ai & analytics

machine learning engineer

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

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

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

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Innovators wanted! Are you an entrepreneur? A builder? A dreamer? This role is part of an Amazon Special Projects team that takes the company&rsquo;s Think Big leadership principle to the limits. If you&rsquo;re interested in innovating at scale to address big challenges in the world, this is the team for you. 
 
As a Senior Machine Learning Engineer on our team, you will leverage your deep technical expertise to build reliable, scalable, and highly performant AI systems. You will drive technical strategy and collaborate closely with Applied Scientists on modeling experiments and prototypes, translating concepts into production-ready solutions. We&rsquo;re looking for someone who wants to can make a positive impact on humanity, has a track record of innovating and building successfully, and loves solving hard problems! 
 
 
 
Key job responsibilities 
The ideal candidate for this role has a demonstrable track record of delivering successfully in a hyper-growth ML/AI environment by leveraging their deep technical expertise and adapting deftly to rapidly evolving priorities. 
In this role, you will: 
 
<ul><li>Spearhead large scale technical initiatives and make critical architectural decisions</li><li>Identify and resolve complex technical challenges, often in ambiguous problem spaces</li><li>Design and implement scalable data processing pipelines and infrastructure to support ML model training workflows</li><li>Develop tools for data preprocessing, feature engineering, and efficient resource utilization for large-scale AI training jobs</li><li>Create monitoring systems, debugging tools, and performance optimization solutions for ML infrastructure</li><li>Collaborate to integrate ML frameworks with production systems and implement version control for both code and model artifacts</li><li>Mentor and guide MLEs and SDEs, fostering their growth and the overall team&rsquo;s capabilities</li></ul> 
A day in the life 
Our main data consumers and producers are science teams. You will work closely with scientists from various domains to clarify requirements, design new systems, upgrade existing services and provide operational support to mitigate issues. You work will largely comprise of working with data services and pipelines. 
 
About the team 
We represent Amazon's ambitious vision to solve the world's most pressing challenges. We operate with the agility of a startup while backed by Amazon's resources and operational excellence. We're looking for builders who are excited about working on ambitious, undefined problems and are comfortable with ambiguity. Our team is for engineers who enjoy teamwork, cross-functional collaboration and building new things. You need to be a fast learner able to independently disambiguate requirements and deliver value to customers. We are offering fast-pace, Agile environment with little bureaucracy and small operational load.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>5+ years of non-internship professional software development experience</li><li>5+ years of programming with at least one software programming language experience</li><li>5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience as a mentor, tech lead or leading an engineering team</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</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 - 168,100.00 - 227,400.00 USD annually</div>

Sr. Machine Learning Engineer, Special Projects

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

Software Engineer, Machine Learning

Accenture

<div>We Are: 
The beginning of a new Data &amp; AI decade that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data &amp; AI &mdash; backed by a $3B investment and commitment to our people to do industry-defining work.
With over 45,000 professionals dedicated to Data &amp; AI, Accenture&rsquo;s Data &amp; AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.
You Are:
As an Artificial Intelligence and Machine Learning Computational Science professional, you will play a pivotal role in formulating real-world problems into practical, efficient, and scalable AI and Machine Learning solutions. You will be responsible for developing and implementing cutting-edge artificial intelligence solutions that drive innovation and enhance performance. You will collaborate with cross-functional teams and leverage your expertise in machine learning, deep learning, and data analysis to solve complex problems and deliver impactful AI-driven solutions.
Position Responsibilities:<ul><li>
Collaborate with stakeholders to engineer innovative solutions for new system roll-outs, enhancements, and maintenance of existing applications, ensuring adherence to programming standards.</li><li>
Develop system specifications, create test plans, and conduct project and issue management for the assigned scope of work.</li><li>
Design/Build solutions using AI services and machine learning models to address unique use cases, employing cutting-edge techniques and methodologies.</li><li>
Utilize machine learning and advanced AI techniques to extract valuable insights from complex datasets and solve intricate problems.</li><li>
Deploy trained models into production environments, ensuring scalability, reliability, and optimal performance, while integrating seamlessly with existing systems and applications.</li><li>
Design and implement agents and multi-agent architectures to optimize client workflows.</li></ul>
Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.</div>
 
<div>Job Qualifications Here&rsquo;s what you need:<ul><li>
Minimum of 3 years of full-time experience in Data Analysis, Statistics, Machine Learning, or Computer Science</li><li>
Minimum of 2 years of experience in machine learning, deep learning, or demonstrated proficiency in Natural Language Processing (NLP)</li><li>
Minimum of 2 years of experience with AI/ML and cognitive services provided by at least one cloud service provider</li><li>
Minimum of 1 year of experience in building Conversational AI applications using cloud-based services and in orchestrating AI/ML services for building a complete solution</li><li>
Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate&rsquo;s Degree, must have minimum 6 years work experience)</li></ul>
Bonus points if you have:<ul><li>
Hands-on involvement with speech-to-text, text-to-speech, and chatbot technologies</li></ul> 
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. 
We anticipate this job posting will be posted until 05/31/2026. 
 
Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:
U.S. Employee Benefits | Accenture 
Role Location Annual Salary Range 
California $70,350 to $205,800 
Cleveland $59,100 to $164,600 
Colorado $63,800 to $177,800 
District of Columbia $68,000 to $189,300 
Illinois $59,100 to $177,800 
Maryland $63,800 to $177,800 
Massachusetts $63,800 to $189,300 
Minnesota $63,800 to $177,800 
New York $66,300 to $205,800 
New Jersey $68,000 to $205,800 
Washington $80,200 to $189,300
Requesting an Accommodation
Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.
If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter. 
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
For details, view a copy of the Accenture Equal Opportunity Statement
Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.
Accenture is committed to providing veteran employment opportunities to our service men and women. 
Other Employment Statements
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.
California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.
Please read Accenture&rsquo;s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.</div>

AI/ML Computational Science Specialist

Explore 152+ Machine learning engineer in Seattle this April. Find roles across top companies and apply now to boost your career.