76 Results for

Exercise Science Jobs in Queen Anne, WA

Jobs

New!

Seattle, WA3 days ago

$99,000–$150,700 Per Year

Ensure complete, accurate daily documentation of work orders/tickets, understanding subcontractor scope of work to avoid unnecessary change orders, and identifying problems early and act immediately to provide solutions. The Superintendent provides leadership and serves as the liaison between project team members to promote the interest of both the business and clients in all matters, as well as demonstrate the characteristics of a mid-level leader.

Seattle, WA30+ days ago

Full-time
Employee

It is comprised of eight hospital campuses (Ballard, Edmonds, Everett, Centralia, Cherry Hill (Seattle), First Hill (Seattle), Issaquah and Olympia); emergency rooms and specialty centers in Redmond (East King County) and the Mill Creek area in Everett; and Providence Swedish Medical Group, a network of 190+ primary care and specialty care locations throughout the Puget Sound. Together, our 120,000 caregivers (all employees) serve in over 50 hospitals, over 1,000 clinics and a full range of health and social services across Alaska, California, Montana, New Mexico, Oregon, Texas and Washington.

Seattle, WA8 days ago

Full-time
Employee

Minimum Requirements: Bachelors in Kinesiology, Exercise Science or a related field AND 24 months experience as Exercise Physiologist or related positions including internships or experience related to exercise, fitness, or rehabilitation exercise. Position requires local travel to various unanticipated locations within the Seattle-Bellevue-Tacoma metropolitan statistical area to provide mobile fitness training and individualized exercise routines.

New!

Redmond, WA3 days ago

_Key Words: industrial medicine, ergonomics, body mechanics, occupational health, healthcare, industrial sports medicine, sports medicine, athletic trainer, AT, ATC, occupational therapist, OT, physical therapist, PT, DPT, kinesiologist, exercise physiologist, physical therapy assistant, PTA, safety, industrial ergonomics, office ergonomics, health & wellness, injury prevention, behavioral ergonomics, education, 1:1, autonomy, independent, clinical, non-clinical, education, presentations, public speaking, coaching, biomechanics, safety, human movement_ **Qualifications** + Education in Athletic Training, Kinesiology, Exercise Physiology, Physical Therapy, Occupational Therapy, or related field. + Based on client requirements, you may provide Functional Employment Testing, Return to Work/Stay at Work Services, Ergonomic Assessments (including on-site, virtual, office, and vehicle), or Clinical Solutions.

Seattle, WA30+ days ago

Full-time
Employee

Lead multi-disciplinary and cross-functional teams to rapidly iterate models and results to refine and validate approach; Lead team in a fast-paced and dynamic environment with both virtual and face-to-face interactions; Utilize structured approaches to solving problems, managing risks, and multiple responsibilities using structured approaches for operational excellence; Communicate results to executive level audiences. Work internally within KPMG's other areas within Tax, Audit and Advisory to advance the client understanding of Data Science, Artificial Intelligence, and Advanced Analytics; Work very closely with emerging technologies group within AI service providers (e.g., AWS, GCP, Azure) to provide a first-in-market solution approaches to complex business problems.

Seattle, WA30+ days ago

Full-time
Employee

New!

Bellevue, WA1 day ago

$87,556–$126,956 Per Year
Full-time
Employee

The Division Operations Director provides support for the delivery of instruction and student success in fulfillment of the College's mission and vision by managing Division and program budgets, calculating and monitoring full-time faculty workload, supervising staff, and establishing common filing systems and procedures while ensuring compliance with records management. Generous https://www.bellevuecollege.edu/hr/benefits/ is offered through Washington State plans that includes multiple medical, dental, life and disability coverage choices for employees and dependents; choices of retirement and deferred compensation plans; paid holidays, sick, and vacation plans; transit program, reduced tuition, employee discounts and memberships, etc.

Seattle, WA30+ days ago

Full-time
Employee

If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation.

Seattle, WA28 days ago

Remote

Full-time
Employee

Responsibilities include Workflow Config, UI Customization, Provisioning, Training on MSI Emergency Call Handling Applications, Capture Application Level Design Needs with a Solutions Architect, Creating or Maintaining Supporting Documents including organizational workflows, and Go Live Support. The Application Specialist is ultimately accountable for the provisioning of MSI ECH application(s) to meet the need of the customer's design specifics, including participating in the solution detailed design, as well as the remote and on-site provisioning, administrative instruction, cutover support, and handoff to Support for Motorola's on-premise and cloud-hosted ECH solutions.

Seattle, WA30+ days ago

Full-time
Employee

Minimum Job Requirements: Four-year college degree in Civil Engineering (Traffic Emphasis), Computer Science, Computer Engineering, Electrical Engineering, or related technical discipline, plus five years of related experience, or an applicable master's degree with three years of related experience preferred. Company Details: When you join Cubic, you become part of a company that creates and delivers technology solutions in transportation to make people's lives easier by simplifying their daily journeys, and defense capabilities to help promote mission success and safety for those who serve their nation.

Redmond, WA30+ days ago

As an Exercise Therapist, you will work with clients that have a wide array of neurological movement disorders, including spinal cord injuries, strokes, traumatic brain injuries, cerebral palsy, Parkinsons and more, to help them increase their strength, function and overall health while achieving goals that are meaningful to them. Maintain and expand knowledge base regarding specific client populations and diagnoses seen to ensure safe and appropriate exercise techniques and applications are used.

Everett, WA23 days ago

$40–$43 Per Hour

As a Master Trainer, you’ll play a key role in shaping a high-performing fitness culture and empowering trainers to grow their skills, their careers, and their impact. Embraces using mobile and web apps (like Mindbody & Trainerize) to manage sessions, client notes, and communication .

Everett, WA8 days ago

$40–$43 Per Hour

As a Master Trainer, you'll play a key role in shaping a high-performing fitness culture and empowering trainers to grow their skills, their careers, and their impact. Embraces using mobile and web apps (like Mindbody & Trainerize) to manage sessions, client notes, and communication.

Redmond, WA30+ days ago

$106,400–$203,600 Per Year

To meet this legal requirement, citizenship will be verified via a valid passport, or other approved documents, or verified US government Clearance Preferred Qualifications: + Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 8+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR Master's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 6+ years experience in cloud/infrastructure technologies, technology solutions, practice development, architecture, and/or consulting OR equivalent experience. Defensive Cyber Operations (Proactive + Reactive): + Experience leading or operating within security operations, threat hunting, detection engineering, or incident response functions in enterprise or U.S. Federal environments + Ability to design and execute both proactive (hypothesis-driven hunting, coverage development) and reactive (investigation, containment, recovery) defensive workflows + Experience translating operational activity into improved detection logic, response playbooks, and defensive tradecraft + Coach and mentor customers on defensive actions during live cyber exercises (e.g., account actions, device isolation, blocking indicators, mitigation activity), including justifications and operational risk.

New!

Lake Stevens, WA3 days ago

$40–$43 Per Hour

We're the nation's leader in mobile personal training - and here in NW Washington, our locally owned and operated business is proudly veteran-owned Built on flexibility, results, and teamwork, our team is committed to delivering exceptional training experiences in our community. As a Master Trainer, you'll play a key role in shaping a high-performing fitness culture and empowering trainers to grow their skills, their careers, and their impact.

Shoreline, WA30+ days ago

From World Concern’s relief and development efforts around the globe; from CRISTA Media’s stations that broadcast uplifting messages and music through your radio dials to the fireside songs that bring joy to campers year-round at CRISTA Camps; from the young minds equipped with knowledge at King’s Schools to the seniors receiving exceptional care at CRISTA Senior Living. Conduct that reflects well on CRISTA Ministries and aligns with its mission, vision, Statement of Faith and Christian Community Representative Commitment (CCC).ESSENTIAL QUALIFICATIONSCHRIST CENTEREDBelief that Jesus Christ is Lord and Savior. Is a committed Christian who is dedicated to continued spiritual growth and development as evidenced through a growing personal walk with God (e.g.

Bellevue, WA21 days ago

USA, CA, San Francisco - 171,000.00 - 231,400.00 USD annually USA, MA, Boston - 148,700.00 - 201,200.00 USD annually USA, VA, Arlington - 148,700.00 - 201,200.00 USD annually USA, WA, Bellevue - 148,700.00 - 201,200.00 USD annually USA, WA, Seattle - 148,700.00 - 201,200.00 USD annually You will manage the end-to-end program lifecycle for ACE's roadmap: scoping new capabilities with the science and product teams, translating scientific methodology into engineering requirements, developing detailed plans with milestones and dependencies, tracking execution across multiple parallel workstreams, and driving resolution when science and engineering tradeoffs arise.

Seattle, WA16 days ago

USA, CA, SAN FRANCISCO - 157,300.00 - 212,800.00 USD annually USA, CA, San Francisco - 157,300.00 - 212,800.00 USD annually USA, MA, BOSTON - 136,000.00 - 184,000.00 USD annually USA, MA, Boston - 136,000.00 - 184,000.00 USD annually USA, VA, Arlington - 136,000.00 - 184,000.00 USD annually USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually Description The People eXperience and Technology Central Science Team (PXTCS) uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, wellbeing, and the value of work to Amazonians.

Seattle, WA15 days ago

Basic Qualifications * M.S. in Computer Science, Information Retrieval, Machine Learning, Natural Language Processing, Statistics, Mathematics, or related discipline * Experience in managing and growing a high-performing and diverse team of both applied scientists and engineers for at least 5 years * Experience in building large-scale machine learning and AI solutions for at least 5 years Preferred Qualifications * Ph. About the team The Advertiser Guidance team sits at the heart of Sponsored Products and Brands, tackling advertising's most complex challenges: how do you guide 1.3+ million advertisers-from first-time sellers to global brands-to create and manage campaigns that drive real business growth?

Seattle, WA30+ days ago

Basic Qualifications - PhD, or Master's degree and 6+ years of applied research experience - 5+ years of building machine learning models for business application experience - Experience programming in Java, C++, Python or related language - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. About the team Amazon's People Experience and Technology Central Science (PXTCS) team uses economics, behavioral science, statistics, machine learning, applied science, and Generative AI to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, well-being, and the value of work to Amazonians.

Bellevue, WA30+ days ago

USA, CA, Sunnyvale - 157,300.00 - 212,800.00 USD annually USA, WA, Bellevue - 136,000.00 - 184,000.00 USD annually USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually Description WW Amazon Stores Finance Science (ASFS) works to leverage science and economics to drive improved financial results, foster data backed decisions, and embed science within Finance.

New!

Bellevue, WA1 day ago

R, SAS, Matlab, etc.) experience - 2+ years of data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience - 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience - Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM) Preferred Qualifications - Ph. USA, CA, San Francisco - 124,600.00 - 185,000.00 USD annually USA, MA, Boston - 108,300.00 - 160,000.00 USD annually USA, VA, Arlington - 108,300.00 - 160,000.00 USD annually USA, WA, Bellevue - 108,300.00 - 160,000.00 USD annually USA, WA, Seattle - 108,300.00 - 160,000.00 USD annually

SEATTLE, WA30+ days ago

Key job responsibilities - Develop AI solutions for various Prime Video Search systems using Deep learning, GenAI, Reinforcement Learning, and optimization methods; - Understand problem space, identify gaps and opportunity for improvement, create roadmap and plans for delivering business goals; - Lead cross-team collaboration and work closely with engineers and product managers to deliver AI solutions end-to-end; - Design and conduct offline and online (A/B) experiments to evaluate proposed solutions based on in-depth data analyses; - Effectively communicate technical and non-technical ideas with teammates and stakeholders; - Stay up-to-date with advancements and the latest modeling techniques in the field; - Mentor and grow junior scientists and interns; - Publish your research findings in top conferences and journals. In addition, Prime members in US can also subscribe to 100+ channels, including Max, discovery+, Paramount+ with SHOWTIME, BET+, MGM+, ViX+, PBS KIDS, NBA League Pass, MLB.TV, and STARZ with no extra apps to download, and no cable required.

Seattle, WA30+ days ago

Basic Qualifications - 3+ years of scientists or machine learning engineers management experience - Knowledge of ML, NLP, Information Retrieval and Analytics - PhD in Computer Science, Computer Engineering, or related technical field; OR Master's Degree in Computer Science, Computer Engineering, or related technical field with 5+ years of experience as a Scientist/Engineer. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation.

New!

SEATTLE, WA1 day ago

Seattle, WA30+ days ago

Experience managing ML- or data-driven products, working with embedded or central science teams, and delivering solutions that influence real-world business outcomes is highly valued. USA, CA, San Francisco - 173,900.00 - 235,200.00 USD annually USA, NY, New York - 166,300.00 - 225,000.00 USD annually USA, WA, Seattle - 151,200.00 - 204,600.00 USD annually

Seattle, WA30+ days ago

Basic Qualifications - 3+ years of building machine learning models for business application experience - PhD, or Master's degree - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Preferred Qualifications - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. USA, CA, San Francisco - 192,200.00 - 260,000.00 USD annually USA, NY, New York - 183,800.00 - 248,700.00 USD annually USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually

Seattle, WA30+ days ago

Basic Qualifications - 10+ years of building large-scale machine learning and AI solutions at Internet scale experience - Master's degree in Computer Science (Machine Learning, AI, Statistics, or equivalent) - Experience building large-scale machine learning and AI solutions at Internet scale - Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives - Experience hiring and leading experienced scientists as well as having a successful record of developing junior members from academia or industry to a successful career track Preferred Qualifications - 10+ years of practical work applying ML to solve complex problems for large-scale applications experience - 5+ years of hands-on work in big data, machine learning and predictive modeling experience - 5+ years of people management experience - PhD in Computer Science (Machine Learning, AI, Statistics, or equivalent) - Experience in practical work applying ML to solve complex problems for large scale applications - Experience working with big data, machine learning and predictive modeling - Experience in people management - Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc. Key job responsibilities Responsibilities: - Lead science and engineering needs across ad systems and models that power sponsored products ads for offsite shopping experiences - Surface qualitative and quantitative insights as the voice of the advertisers to shape product direction and ensure product-market fit - Scale ad product adoption across advertisers, agencies, and tool providers - Collaborate with product, science, and engineering teams across SPB and ads to make the right trade-off decisions to build, partner, or build together to scale shopping experiences offsite.

Seattle, WA27 days ago

We build and operate econometric and machine learning models that power lifetime demand forecasting, rapid reforecasting, mix adjustments, and portfolio optimization for product launches spanning eReaders, Tablets, Fire TV, Ring, Blink, and Alexa+-enabled devices. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation.

Seattle, WA20 days ago

In this role, you will work in a team of scientists and engineers with backgrounds in machine learning, NLP, IR, statistics, and economics to identify bottlenecks in our business, conceive new ideas to overcome those challenges, and deploy scientific solutions in partnership with product teams. Description Stores Economics and Science (SEAS) is an interdisciplinary science and engineering team in Amazon's Stores organization with a peak-jumping mission: we apply expertise in science and engineering to move from local to global optima in methods, models, and software.

Bellevue, WA20 days ago

Specific responsibilities include: - Data Pipeline Development: Design and maintain scalable data pipelines using native AWS services (Glue, EMR, Lambda); build monitoring and error handling for data workflows; optimize performance, reliability, and cost efficiency - Model Productionization & API Development: Develop and maintain APIs and data serving layers that productionize science models for downstream consumption; build batch and real-time inference pipelines - Data Integration & Quality: Build scalable feature extraction and processing frameworks for diverse data types; develop robust data quality and validation checks; create flexible schemas supporting evolving requirements - Cross-team Collaboration: Partner with economics, data science, and software engineering teams to translate analytical requirements into production-ready solutions; participate in technical design reviews and architecture discussions - Analytics & Infrastructure: Maintain layered data systems used by economists and scientists; build automated reporting solutions; work across multiple interconnected AWS accounts with security best practices About the team The Central Science Team within Amazon's People Experience and Technology org (PXTCS) uses economics, behavioral science, statistics, machine learning, and Generative AI to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, well-being, and the value of work to Amazonians. USA, CA, San Francisco - 152,000.00 - 205,600.00 USD annually USA, MA, Boston - 132,100.00 - 178,800.00 USD annually USA, VA, Arlington - 132,100.00 - 178,800.00 USD annually USA, WA, Bellevue - 132,100.00 - 178,800.00 USD annually USA, WA, Seattle - 132,100.00 - 178,800.00 USD annually

Seattle, WA14 days ago

Basic Qualifications 10+ years of building machine learning models for business application experience PhD, or Master's degree and 10+ years of applied research experience Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Preferred Qualifications Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. In this role, you will lead a team of scientists and engineers with backgrounds in machine learning, NLP, IR, statistics, and economics to identify bottlenecks in our business, conceive new ideas to overcome those challenges, and deploy scientific solutions in partnership with product teams.

New!

Seattle, WA6 days ago

Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports - including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. We are looking for a self-motivated, passionate and resourceful Applied Science Manager to bring diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers.

Seattle, WA10 days ago

We're leveraging the latest advances in AI to transform how engineers work from IDE environments to web-based tools and services, empowering developers to tackle projects of any scale with unprecedented efficiency. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Seattle, WA30+ days ago

Description About Sponsored Products and Brands The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation.

SEATTLE, WA30 days ago

Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports - including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. As a Prime Video technologist, you'll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers.

SEATTLE, WA30 days ago

Key job responsibilities - Develop AI solutions for various Prime Video Search systems using Deep learning, GenAI, Reinforcement Learning, and optimization methods; - Work closely with engineers and product managers to design, implement and launch AI solutions end-to-end; - Design and conduct offline and online (A/B) experiments to evaluate proposed solutions based on in-depth data analyses; - Effectively communicate technical and non-technical ideas with teammates and stakeholders; - Stay up-to-date with advancements and the latest modeling techniques in the field; - Publish your research findings in top conferences and journals. Basic Qualifications - PhD, or Master's degree and 6+ years of applied research experience - 5+ years of building machine learning models for business application experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Preferred Qualifications - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.

Seattle, WA28 days ago

The Vulcan Stow team (https://www.amazon.science/latest-news/how-amazon-robotics-researchers-are-solving-a-beautiful-problem) at Amazon Robotics builds high-performance, real-time robotic systems that can perceive, learn, and act intelligently alongside humans-at Amazon scale. We invent and deploy machine learning, optimization algorithms, and geometric reasoning models that empower robots to identify the best available placement opportunities, learn effective stow strategies, and continuously improve capacity utilization.

Bellevue, WA25 days ago

Key job responsibilities - Design and conduct rigorous evaluations of benefits programs - Support the development and application of structural models - Develop experiments to evaluate the impact of benefits initiatives - Communicate complex findings to business stakeholders in clear, actionable terms - Work with engineering teams to develop scalable tools that automate and streamline evaluation processes A day in the life Work with teammates to apply economic methods to business problems. USA, CA, San Francisco - 157,300.00 - 212,800.00 USD annually USA, MA, Boston - 136,000.00 - 184,000.00 USD annually USA, VA, Arlington - 136,000.00 - 184,000.00 USD annually USA, WA, Bellevue - 136,000.00 - 184,000.00 USD annually USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually

Seattle, WA25 days ago

Key job responsibilities - Develop AI solutions for various Prime Video Search systems using Deep learning, GenAI, Reinforcement Learning, and optimization methods; - Work closely with engineers and product managers to design, implement and launch AI solutions end-to-end; - Design and conduct offline and online (A/B) experiments to evaluate proposed solutions based on in-depth data analyses; - Effectively communicate technical and non-technical ideas with teammates and stakeholders; - Stay up-to-date with advancements and the latest modeling techniques in the field; - Publish your research findings in top conferences and journals. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports - including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+.

SEATTLE, WA15 days ago

Basic Qualifications - 4+ years of applied research experience - 3+ years of scientists or machine learning engineers management experience - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Knowledge of ML, NLP, Information Retrieval and Analytics - Experience programming in Java, C++, Python or related language Preferred Qualifications - Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers - Experience in practical work applying ML to solve complex problems for large scale applications - Experience working with big data, machine learning and predictive modeling - Experience in people management - Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc. USA, CA, Palo Alto - 211,400.00 - 286,000.00 USD annually USA, NY, New York - 202,200.00 - 273,600.00 USD annually USA, WA, SEATTLE - 183,800.00 - 248,700.00 USD annually

Seattle, WA7 days ago

These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. USA, CA, Santa Clara - 171,600.00 - 222,200.00 USD annually USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually

Seattle, WA7 days ago

Basic Qualifications - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Preferred Qualifications - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. You lead the design and develop state-of-the-art ML models, conduct rigorous experimentation, translate scientific breakthroughs into production-ready solutions, and guide a set of junior scientists.

New!

Seattle, WA6 days ago

USA, CA, SANTA CLARA - 161,900.00 - 218,600.00 USD annually USA, NY, New York - 161,900.00 - 218,600.00 USD annually USA, VA, Arlington - 147,200.00 - 198,700.00 USD annually USA, WA, Seattle - 147,200.00 - 198,700.00 USD annually You'll partner with product and GTM teams to identify our ideal customers, understand their priorities and use cases, shape our portfolio of offerings to address those use cases, synthesize market intelligence, and develop messaging that helps customers understand how AWS can transform their business.

Seattle, WA30+ days ago

Key job responsibilities - Own a defined set of enterprise life sciences accounts and run the territory like a business (plan, forecast, deliver) - Build and execute account plans aligned to customer priorities across R&D, clinical, and commercial - Develop and manage a high-quality pipeline; drive deals from early stage through close - Engage C-level and senior stakeholders; become a trusted advisor on cloud, data, and AI strategy - Identify where customers are stuck (data silos, trial delays, legacy systems) and map to AWS solutions that solve real problems - Lead cross-functional teams (SA, specialists, partners) to bring the right expertise to each opportunity - Negotiate and structure complex, multi-year agreements (e.g., EDP/PPA) - Drive adoption and expansion of AWS services, with focus on measurable business outcomes - Maintain accurate forecasting, deal hygiene, and operational rigor - Partner with ISVs and ecosystem players to accelerate customer outcomes - Stay current on life sciences trends (precision medicine, genomics, AI/ML) and translate into customer conversations - Be accountable for revenue growth, customer success, and long-term relationship health A day in the life - Review pipeline, forecast, and prioritize deals - Meet enterprise biopharma, biotech, and diagnostics customers to understand priorities and blockers - Engage executives on data, AI/ML, and cloud strategy - Solve for data silos, trial delays, and legacy infrastructure - Build and adjust account plans - Coordinate with SAs, specialists, CSMs, TAMs, and partners - Drive deal execution and negotiate terms - Lead internal deal reviews and customer briefings - Work with ISVs and ProServe to accelerate outcomes - Track industry trends and apply to customer conversations - Maintain CRM hygiene and forecast accuracy About the team The Healthcare & Life Sciences team partners with leading biopharma, biotech, and diagnostics companies to accelerate how new therapies are discovered, developed, and delivered. USA, CA, Irvine - 142,800.00 - 193,200.00 USD annually USA, CA, San Diego - 142,800.00 - 193,200.00 USD annually USA, CA, San Francisco - 157,100.00 - 212,600.00 USD annually USA, CO, Denver - 142,800.00 - 193,200.00 USD annually USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually

Seattle, WA10 days ago

Description As part of the AWS Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation.

SEATTLE, WA8 days ago

Key job responsibilities - Develop AI solutions for various Prime Video Search systems using Deep learning, GenAI, Reinforcement Learning, and optimization methods; - Work closely with engineers and product managers to design, implement and launch AI solutions end-to-end; - Design and conduct offline and online (A/B) experiments to evaluate proposed solutions based on in-depth data analyses; - Effectively communicate technical and non-technical ideas with teammates and stakeholders; - Stay up-to-date with advancements and the latest modeling techniques in the field; - Publish your research findings in top conferences and journals. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports - including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+.

Seattle, WA7 days ago

Seattle, WA30+ days ago

We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair – and world – for all. We’re a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success.

Seattle, WA16 days ago

Design, build, deploy and refine extensible, reusable, large-scale, and real-world platforms that improve supplier experience, ROAS, and spend on Wayfair’s Sponsored Products. We’re a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success.

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Exercise Science Jobs in Queen Anne, WA

Commercial Construction Superintendent - Healthcare & Life Sciences HITT Contracting

Exercise Physiologist - Cardiac Rehabilitation Providence St. Joseph Health

Exercise Physiologist FIT2YOU, LLC

Exercise Science / Exercise Physiologist / Kinesiologist / Athletic Trainer -Ergonomics Industrial U.S. Physical Therapy

Manager, Data Science KPMG LLP

Senior Associate, Data Science KPMG LLP

Division Operations Director in Science Bellevue Community College

Sales Executive, ServiceNow (Healthcare/Life Sciences) KPMG LLP

ECH Application Specialist - US Remote Motorola Solutions

Senior Traffic Engineer Cubic Global Defense

Exercise Therapist Pushing Boundaries

In-home Female Exercise Specialist GYMGUYZ NW Washington

Inhome Female Exercise Specialist GYMGUYZ NW Washington

Senior Cloud Solution Architect Cybersecurity (Exercises) - CTJ - Top Secret Microsoft Corporation

In-home Female Exercise Specialist GYMGUYZ

Elementary Science and Engineering Specialist CRISTA Ministries

Technical Program Manager, PXT Central Science Amazon

Economist, PXT Central Science Amazon

Senior Applied Science Manager, Amazon Sponsored Products & Brands Amazon

Sr. Applied Scientist, PXT Central Science Amazon

Data Scientist II, Amazon Stores Finance Science Amazon

Data Scientist I, PXT Central Science Amazon

Software Development Engineer - AI, Prime Video - Personalization and Discovery Science Amazon

Applied Science Manager , Stores Foundation AI (SFAI) Amazon

Sr. Software Development Engineer - AI, Prime Video - Personalization and Discovery Science Amazon

Senior Technical Product Manager, AWS Central Economics and Science Amazon

Senior Applied Scientist, AWS Central Economics and Science Amazon

Sr. Manager, Applied Science, Sponsored Products and Brands Amazon

Principal Product Manager - Tech, Devices Decision Science Amazon

Applied Scientist II, Amazon Stores Economics and Science (SEAS) Amazon

Data Engineer, PXT Central Science Amazon

Principal Applied Scientist, Amazon Stores Economics & Science (SEAS) Amazon

Applied Science Manager, Prime Video Personalization & Discovery Amazon

Applied Scientist, LLM Code Agents, Kiro Science Amazon

Applied Science Manager, Sponsored Products and Brands Ads Response Prediction Amazon

Applied Scientist II, Prime Video Personalization and Discovery Science Amazon

Sr. Applied Scientist, Prime Video - Personalization and Discovery Science Amazon

Applied Science Manager - Match & Affordances, Amazon Robotics Amazon

Economist II, People Experience and Technology Central Science Amazon

Applied Scientist, Prime Video - Personalization and Discovery Science Amazon

Applied Science Manager, Sponsored Products and Brands -- Offsite Amazon

Applied Scientist, Shopping Convo Foundations - Pre-purchases Science Amazon

Senior Applied Scientist, Shopping Convo Foundations - Pre-purchases Science Amazon

Sr. Product Marketing Manager - Tech, Healthcare and Life Sciences Industry, AWS Industry Marketing Amazon

Sr. Account Manager, Life Sciences Amazon

Applied Scientist II, AWS Just-Walk-Out Science Team Amazon

Applied Scientist II, Prime Video - Personalization and Discovery Science Amazon

Sr. Applied Scientist, AWS Just-Walk-Out Science Team Amazon

Economist II - Machine Learning Science, Search & Recommendations Wayfair

Machine Learning Manager - Advertising Science Wayfair

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