software development engineer Jobs in Seattle

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evaluation & insights engineer Jobs in Seattle

evaluation & insights engineer

research engineer

Adobe

The Opportunity
 
The Research Engineering & Design Lab within Adobe Research is looking for a Research Engineer with a passion for the unique challenges involved in the development of high-performance ML models, with a particular focus on optimizing the resource consumption of large-scale generative models, including for cloud and on-device deployment. Join our efforts to turn cutting-edge research into new products and features in Adobe's web, desktop and mobile applications, and expand what's possible in tools for creative expression.
 
What you'll Do
 
At Adobe Research, you will work closely with both scientists and engineers to ensure that new technologies being developed for generative AI models, image processing, audio, video, animation, 3D and vector graphics will run efficiently in-cloud and on a variety of platforms. You'll help adapt models and algorithms to the limitations of different systems and devices. You will have the opportunity to:
 Play a key collaborative role in ambitious research projects
 Be valued as a specialist in your domain of expertise
 Build innovative tool that enables users to explore their creative potential
 Contribute to existing Adobe tools as well as completely new applications
 Impact products that are used by tens of millions of people
 Learn from your peers and grow into new opportunities
 
What you need to succeed
 Passion for model optimization/compression and high-performance computing
 Solid deep learning skills, including practical experience in computer vision/natural language processing
 Knowledgeable about the current state of the art in ML efficiency
 Experience in improving the efficiency of mid- to large-scale ML models
 Software engineering expertise
 Proficiency with Python and ML libraries like PyTorch, TensorFlow, JAX, or similar
 Strong communication and collaboration skills
 Ph.D. /Master's degree in Computer Science or a related field, or 3 years of industry experience
 
Additional Desirable Qualifications
 Knowledge of state-of-the-art machine learning methods for large scale multimodal models
 Experience on diffusion model optimization, neural network pruning/knowledge distillation/quantization/architecture search, sub-quadratic attention optimization, efficient architecture design and on-device ML
 Experience with sparse mixture of experts and related techniques
 Experience running ML models within a deployment environment (using TensorRT, AITemplate, CoreML, WinML, TensorFlow Lite, ONNXRuntime or similar)
 Hands-on experience in designing ML models between different platforms (Cloud, mobile, in-browser, etc.)
 Knowledge of design techniques for mobile-friendly ML models
 Proficiency with C++
 
About Adobe
 Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
 
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
 
Let’s Adobe together
 At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture , focus on people, purpose and community , Adobe for All , comprehensive benefits programs , the stories we tell , the customers we serve, and how you can help us advance our mission of empowering everyone to create.
 
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.
 
Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.
 
AI Use Guidelines for Interviews: 
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
 
At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience .
 
Expected Pay Range: Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $120,700 -- $238,600 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
 
In Washington, the pay range for this position is $146,300 - $211,850
 
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
 
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
 
State-Specific Notices: 
California : 
Fair Chance Ordinances
 Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
 
Colorado: 
Application Window Notice
 
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
 
Massachusetts: 
Massachusetts Legal Notice
 It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Research Engineer

University Of Washington

<div>Job Description
The GTMBA is a multi-national effort to provide high-quality moored buoy data in real-time for climate research and
forecasting. This position supports the deployment and maintenance of deep-ocean moored buoys in the global tropics to provide high-quality oceanographic and surface meteorological data for monitoring, forecasting, and understanding of the world&rsquo;s climate.
Job Duties
<ul><li>Cruise Planning (25%):
<ul><li>Frequently meets with GTMBA Management to ensure project objectives are on track and well executed.
</li><li>Prepares internal operational and logistics plans, including sensor and acoustic release needs, cruise operational plan, and mooring hardware design documents based on research priorities.
</li><li>Prepares detailed cruise planning documents for distribution to foreign partners. Initiates and maintains timely planning dialogue and logistics coordination with foreign and domestic partners on various platforms including vessels operated by NOAA, National Science Foundation (NSF), chartered vessels and international partners.
</li><li>Prepares health and safety documents for sea-going staff.
</li><li>Schedules, prepares, and leads pre- and post-cruise meetings.
</li><li>Assembles mooring equipment inventories and coordinates mooring plans with PMEL Engineering Division and PMEL mooring shop.
</li></ul></li></ul><ul><li>Coordinating Field Operations (30%):
<ul><li>Serves as primary point of contact within the project for field operations. Maintains communications with project personnel and international partners during research cruises to ensure critical time-sensitive information is received and necessary actions are taken.
</li><li>Performs real-time data quality analysis of wind, temperature, humidity, rainfall, shortwave and longwave radiation, barometric pressure, salinity and current velocity data from moored buoys and various other data sources.
</li><li>Maintains field operations statistics database.
</li><li>Prepares documentation related to scheduling and procurement of ship time as liaison between international partners, Project Director, Project Manager, and NOAA contracting officials.
</li><li>May assist Project Logistics Manager with shipping logistics as needed.
</li><li>Represents the GTMBA project on International Vandalism committee.
</li><li>Maintains intranet tables and documents relevant to GTMBA operations.
</li><li>Fields, directs and/or responds to public requests for GTMBA information, data, and graphics.
</li></ul></li></ul><ul><li>Supervising and Instrumentation Lab Management (30%):
<ul><li>Supervises junior scientist(s). Work with employee(s) to establish goals and performance time lines. Mentors employee(s) and serve as employee advocate. Conducts employee performance reviews.
</li><li>Serves as liaison between project mooring technicians, data scientists and managers. This includes writing and compiling notes that document instrument tests and upgrades, field experiments, procedural changes, software bugs, etc.
</li><li>Coordinates cruise staffing schedules and designates staffing assignments.
</li><li>Leads regular instrumentation lab staff meetings.
</li><li>Reviews and approves CICOES Travel / budget allocation for GTMBA.
</li><li>Coordinates and directs safety training for CICOES GTMBA employees.
</li></ul></li></ul><ul><li>Chief Scientist or Mooring Lead during GTMBA Cruises (15%):
<ul><li>May serve as Chief Scientist on GTMBA Cruises or senior technical representative on ships of opportunity whether domestic or international. Responsible for the successful recovery/deployment of GTMBA surface and subsurface moorings while at sea. This includes directing project staff and consulting with the ship&rsquo;s personnel in safely performing the deployments/ recovery mooring operations within the capabilities and limitations of the platform and crew.
</li><li>Lead and supervise moored buoy operations at sea during research cruises. Observe system components that are mounted on moored buoy platforms deployed from oceanographic research vessels and other large ships in a remote, deep ocean environment. Operate and maintain vessel-based oceanographic sensors, meteorological sensors, and mooring equipment.
</li><li>Planning and operational management of the GTMBA requires extensive and comprehensive experience with moored array buoy systems, including data management and field operations. The individual must have the ability to assess and make informed decisions on operational requirements that are critical to the success of the project. The work requires innovative and skillful improvisation to accommodate changing requirements that may arise as a result of programmatic shifts, changes in ship allocations, weather, and other emergencies. The field programs within the Project are international in nature and the individual must have the expertise to deal with a variety of technical, logistical, and cultural issues that develop in the execution of the Project&rsquo;s efforts. The individual must have demonstrated the ability to effectively present project objectives, plans and accomplishments to foreign and domestic research partners and have strong verbal and written skills.
</li><li>Real-time data quality analysis and operational communications activities require an on-call duty status on most weekends. Incumbent will be expected to train project personnel and international technicians and programmers in data management procedures and may supervise junior data management personnel. Research results are prepared for publication in conjunction with the principal investigator.
</li></ul></li></ul>Minimum Requirements
<ul><li>Master&rsquo;s Degree in Marine Science, Environmental Science, Physics, Engineering or related fields
</li><li>Four years of relevant experience
</li><li>Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, and/or registration.
</li></ul>Desired Qualifications
<ul><li>Knowledge of operations management and personnel management principals.
</li><li>Knowledge of ship-board oceanographic operations and experience working at sea.
</li><li>Demonstrated skill (at least 2 years of experience) with supervising employees.
</li><li>Demonstrated strong skill in verbal and written communication.
</li><li>Skill in monitoring/assessing the performance of individuals or organizations to make improvements or take corrective action.
</li><li>Skill in completing assignments accurately and with attention to detail.
</li><li>Skill with handling a variety of technical, logistical, and cultural issues that develop during field operations.
</li><li>Skill in data management.
</li><li>Ability to plan, assign, and/or supervise the work of others.
</li><li>Ability to plan, implement, and evaluate programs.
</li><li>Ability to occasionally work evenings, nights, and weekends as necessary.
</li><li>Ability to assess and make informed decisions on operational requirements critical to the success of the project.
</li><li>Ability to improvise and accommodate changing or unanticipated requirements.
</li><li>Demonstrated ability to effectively present project objectives, plans and accomplishments to research partners
</li><li>Knowledge of generally accepted accounting procedures and principles.
</li><li>Knowledge of budget control methods, policies, and procedures.
</li><li>Skill and comprehensive experience with moored array buoy systems
</li><li>Skill and experience conducting oceanographic field operations in foreign countries or with foreign institutions
</li><li>Skill with map-making software
</li><li>Ability to serve as Chief Scientist or senior technical representative on oceanographic research cruises
</li><li>Ability to maintain internet and intranet web pages
</li></ul>Compensation, Benefits and Position Details
Pay Range Minimum:
$99,444.00 annual
Pay Range Maximum:
$120,000.00 annual
Other Compensation:
<ul><li></li></ul>Benefits:
For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-temporary-per-diem-and-less-than-half-time/
Shift:
First Shift (United States of America)
Temporary or Regular?
This is a temporary position
FTE (Full-Time Equivalent):
100.00%
Union/Bargaining Unit:
Not Applicable
About the UW
Working at the University of Washington provides a unique opportunity to change lives &ndash; on our campuses, in our state and around the world.
UW employees bring their boundless energy, creative problem-solving skills and dedication to building stronger minds and a healthier world. In return, they enjoy outstanding benefits, opportunities for professional growth and the chance to work in an environment known for its diversity, intellectual excitement, artistic pursuits and natural beauty.
Our Commitment
The University of Washington is committed to fostering an inclusive, respectful and welcoming community for all. As an equal opportunity employer, the University considers applicants for employment without regard to race, color, creed, religion, national origin, citizenship, sex, pregnancy, age, marital status, sexual orientation, gender identity or expression, genetic information, disability, or veteran status consistent with UW Executive Order No. 81 .
To request disability accommodation in the application process, contact the Disability Services Office at 206-543-6450 or dso@uw.edu .
Applicants considered for this position will be required to disclose if they are the subject of any substantiated findings or current investigations related to sexual misconduct at their current employment and past employment. Disclosure is required under Washington state law .</div>

Research Scientist/Engineer IV- Field Research Operations Manager (Temporary)

<div>Job Description
Who we&rsquo;re looking for:
The UW Department of Laboratory Medicine &amp; Pathology (DLMP) in Seattle, WA has a fantastic opportunity for a Research Scientist/Engineer 4 with the Davis Lab .
The Research Scientist/Engineer 4 will provide senior-level scientific leadership for research programs focused on fibroblast and myocyte biology as well as tissue and extracellular matrix (ECM) remodeling in the context of cardiovascular and skeletal muscle disease. This position will work closely with investigators in a highly collaborative, multidisciplinary research environment and will play a critical role in advancing high-impact basic and translational research programs. This is an excellent opportunity for an experienced scientist to contribute scientific leadership, develop independent research directions, and mentor and supervise trainees as part of a productive and innovative research team.
Work schedule:
<ul><li>100% FTE
</li><li>Monday &ndash; Friday
</li><li>Day shift
</li></ul>What you&rsquo;ll contribute:
Research Design, Execution, &amp; Analysis
<ul><li>Design and conduct complex in vivo and ex vivo experiments focused on fibroblast biology, ECM remodeling, and tissue mechanics using advanced mouse models.
</li><li>Apply histological, imaging, and molecular approaches including immunohistochemistry, second harmonic generation microscopy, and multi-omic analyses (e.g., single-cell RNA sequencing, spatial transcriptomics, proteomics).
</li><li>Analyze, interpret, and integrate large and complex biological datasets.
</li><li>Develop, optimize, and implement new experimental assays and analytical methods.
</li><li>Develop new genetic and surgical animal models, maintain and manage animal colony use within the lab, and experimental planning.
</li></ul>Project Leadership, Writing, &amp; Collaboration
<ul><li>Lead and coordinate scientific projects, including literature review, experimental strategy, data synthesis, and milestone tracking.
</li><li>Write and contribute to scientific manuscripts for publication in peer-reviewed journals.
</li><li>Assist with preparation of grant proposals, progress reports, and related funding materials.
</li><li>Collaborate with faculty investigators, postdoctoral fellows, students, and research staff to advance shared scientific goals.
</li><li>Provide guidance to trainees on experimental design, data interpretation, and scientific.
</li><li>Develop independent research areas for grant applications.
</li></ul>High-Priority Experimental Support &amp; Strategic Research
<ul><li>Conduct rapid-turnaround experiments and analyses to support manuscript revisions, grant submissions, and high-priority research initiatives.
</li><li>Apply independent judgment to adapt methodologies and devise solutions to complex or high-risk research questions.
</li></ul>Administrative, Training, &amp; Compliance Responsibilities
<ul><li>Provide advanced training and mentorship in animal procedures, surgical techniques, echocardiography, and specialized laboratory assays.
</li><li>Maintain IACUC protocols and ensure compliance with NIH, federal, state, and University regulations governing animal research.
</li><li>Assist with laboratory organization and research continuity as needed.
</li></ul>What you&rsquo;ll need:
<ul><li>Master&rsquo;s degree in a related field of Bioengineering, Pathology, Molecular Biology, Cell Biology, and four years of relevant in fibroblast and muscle biology and experience with genetic and surgical animal models of cardiovascular and/or skeletal muscle disease.
</li><li>Equivalent education and/or experience may substitute for minimum qualifications except when there are legal requirements, such as a license, certification, and/or registration.
</li></ul>Additional requirements.
<ul><li>Progressive research experience, including postdoctoral training, with demonstrated scientific experience.
</li><li>Extensive experience with genetic and surgical animal models of cardiovascular and/or skeletal muscle disease.
</li><li>Demonstrated expertise in fibroblast and muscle biology, extracellular matrix remodeling, and tissue remodeling.
</li><li>Experience with mouse genetics, histological techniques, and multi-omic data generation and analysis.
</li><li>Strong publication record in peer-reviewed scientific journals.
</li><li>Excellent written and verbal communication skills.
</li><li>Ability to lead multiple projects, manage competing priorities, and work effectively in a collaborative team environment.
</li><li>Ability to comply with NIH, federal, state, and University regulations on the ethical use of animals in research.
</li></ul>Desired qualifications:
<ul><li>Experience contributing to successful grant applications and funded research programs.
</li><li>Background in mechanobiology, tissue regeneration, or advanced imaging methodologies.
</li><li>Demonstrated ability to mentor trainees at multiple levels and foster a collaborative laboratory culture.
</li><li>Experience working across interdisciplinary academic or translational research teams.
</li></ul>What we offer:
<ul><li>Vacation time and sick time off that accrue monthly, including 12 paid holidays.
</li><li>State Employee Tuition Exemption Program covering up to 6 credits of qualifying coursework per quarter at the University of Washington or other participating colleges or universities.
</li><li>Fully subsidized public transit pass (U-PASS) that covers multiple forms of public transportation in the region.
</li><li>Excellent healthcare, dental, disability, retirement, and other plan options.
</li><li>Lots of free fantastic fitness, healthy eating, finance, and stress reduction classes offered through the Whole U.
</li><li>And much more!
</li></ul>About the Department of Laboratory Medicine &amp; Pathology:
A regional resource for clinical laboratory services required for innovative patient care, research and educational programs, the Department of Laboratory Medicine &amp; Pathology at UW Medicine combines the sophisticated testing and informatics capabilities of fully accredited laboratories with the resources of an academic institution in its delivery of clinical and anatomic pathology services. Recognized for excellence in clinical training, world-class research initiatives, and a commitment to community service, we serve labs and medical facilities both nationally and internationally.
Please visit our website to learn more about our department.
About the UW:
Working at the University of Washington provides a unique opportunity to change lives &ndash; on our campuses, in our state and around the world. UW employees bring their boundless energy, creative problem-solving skills and dedication to building stronger minds and a healthier world. In return, they enjoy outstanding benefits, opportunities for professional growth and the chance to work in an environment known for its diversity, intellectual excitement, artistic pursuits and natural beauty.
Compensation, Benefits and Position Details
Pay Range Minimum:
$99,444.00 annual
Pay Range Maximum:
$164,328.00 annual
Other Compensation:
<ul><li></li></ul>Benefits:
For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-uw-staff/
Shift:
First Shift (United States of America)
Temporary or Regular?
This is a regular position
FTE (Full-Time Equivalent):
100.00%
Union/Bargaining Unit:
UAW Research
About the UW
Working at the University of Washington provides a unique opportunity to change lives &ndash; on our campuses, in our state and around the world.
UW employees bring their boundless energy, creative problem-solving skills and dedication to building stronger minds and a healthier world. In return, they enjoy outstanding benefits, opportunities for professional growth and the chance to work in an environment known for its diversity, intellectual excitement, artistic pursuits and natural beauty.
Our Commitment
The University of Washington is committed to fostering an inclusive, respectful and welcoming community for all. As an equal opportunity employer, the University considers applicants for employment without regard to race, color, creed, religion, national origin, citizenship, sex, pregnancy, age, marital status, sexual orientation, gender identity or expression, genetic information, disability, or veteran status consistent with UW Executive Order No. 81 .
To request disability accommodation in the application process, contact the Disability Services Office at 206-543-6450 or dso@uw.edu .
Applicants considered for this position will be required to disclose if they are the subject of any substantiated findings or current investigations related to sexual misconduct at their current employment and past employment. Disclosure is required under Washington state law .</div>

Research Scientist/Engineering 4, Davis Lab

Cerebro

<div>
 
 Are you passionate about advancing the frontier of AI? Do you thrive at the intersection of cutting-edge research and real-world impact? A fast-growing AI startup is looking for exceptional AI researchers and engineers with expertise in
 
 multimodal models
 
 to join their world-class team in
 
 Seattle, WA
 
 .
 
 
 
 About Us
 
 
 
 We are a well-funded startup backed by top-tier investors, with a mission to bring real-time AI avatars to life. Our team includes experts with advanced degrees from leading institutions and extensive experience at top tech companies. With significant funding and a clear vision, we are scaling rapidly and looking for top talent to help operationalize cutting-edge research into transformative products.
 
 
 
 What You&rsquo;ll Do
 
 
 
 As an
 
 AI Research Engineer
 
 , you&rsquo;ll play a pivotal role in bridging the gap between research and production. Your responsibilities will include:
 
 <ul>
 <li>
 
 Operationalizing Research
 
 : Collaborate with researchers to transition models from experimental checkpoints to production-ready systems. Establish scalable patterns for large-scale training, rapid experimentation, and deployment of new architectures.
 </li>
 <li>
 
 Optimizing Model Performance
 
 : Profile and enhance model inference for latency and throughput using techniques like quantization, pruning, distillation, and architectural refinements to ensure cost-effective scalability.
 </li>
 <li>
 
 Model Acceleration
 
 : Apply optimization techniques (e.g., TensorRT, ONNX, vLLM) to accelerate multimodal models, including video diffusion, large language models (LLMs), and speech models.
 </li>
 <li>
 
 Designing Data Pipelines
 
 : Build efficient pipelines for video data ingestion, preprocessing, and training at
 
 petabyte scale
 
 using tools like Dagster and Ray.
 </li>
 <li>
 
 Evaluating and Iterating
 
 : Develop evaluation frameworks to measure model quality, establish benchmarks, and guide continuous improvement of model capabilities.
 </li>
 </ul>
 
 
 What We&rsquo;re Looking For
 
 
 
 We&rsquo;re seeking candidates with a strong foundation in AI research and production engineering. The ideal candidate will have:
 
 <ul>
 <li>
 
 Production ML Experience
 
 : Proven track record of deploying ML models to production, with a deep understanding of common failure modes (e.g., resource contention, OOMs, batch optimization) and how to address them.
 </li>
 <li>
 
 Deep Learning Expertise
 
 : Strong knowledge of PyTorch and modern ML architectures, with experience training and optimizing large models (e.g., transformers, diffusion models).
 </li>
 <li>
 
 Systems Proficiency
 
 : Comfort working with GPUs, debugging CUDA issues, and profiling model workloads to identify compute or memory bottlenecks.
 </li>
 <li>
 
 Data Engineering Skills
 
 : Experience building scalable data pipelines for high-bandwidth media processing and training workflows.
 </li>
 </ul>
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Experience with
 
 video or audio models
 
 in research or production settings.
 </li>
 <li>
 Familiarity with
 
 low-level optimization
 
 (e.g., CUDA kernels, Triton, custom operators).
 </li>
 <li>
 Knowledge of
 
 real-time ML systems
 
 and latency-critical inference.
 </li>
 <li>
 Prior work with
 
 model compression techniques
 
 (quantization, distillation, pruning).
 </li>
 </ul>
 
 
 Why Join Us?
 
 
 <ul>
 <li>
 
 Impactful Work
 
 : Your contributions will directly shape the future of real-time AI avatars, advancing cutting-edge research into products that touch millions of lives.
 </li>
 <li>
 
 World-Class Team
 
 : Collaborate with some of the brightest minds in AI, including researchers and engineers from top institutions and companies.
 </li>
 <li>
 
 Growth Opportunities
 
 : Be part of a fast-growing startup with significant funding and a clear vision for the future.
 </li>
 <li>
 
 In-Person Collaboration
 
 : Work alongside your teammates in our vibrant
 
 Seattle HQ
 
 , fostering creativity and innovation through daily collaboration.
 </li>
 </ul>
 
 
 How to Apply
 
 
 
 If you&rsquo;re excited about the opportunity to work on
 
 multimodal AI models
 
 and help bring groundbreaking research to life, we&rsquo;d love to hear from you! Apply now to join a team shaping the future of AI.
 
</div>

Artificial Intelligence Researcher

Apple

Are you passionate about Generative AI and excited to work on groundbreaking modeling technologies that will enrich the lives of billions? The Intelligence System Experience (ISE) team within Apple&rsquo;s software organization is a multidisciplinary group operating at the intersection of Multimodal Foundation Models, Efficient and Scalable ML Infrastructure, and Personalized Intelligent Experiences. As a senior machine learning engineer on our team, you will design software systems and algorithms that enable performant, scalable training and inference for Apple&rsquo;s AI-driven experiences across both on-device and server environments. This role also includes opportunities to open source your work. Join our team of highly skilled, impact-focused engineers! 
 
Description 
 
We&rsquo;re seeking strong senior machine learning engineers to help build next-generation tools for large-scale deep learning. You&rsquo;ll join a team focused on accelerating training and inference speed, improving scalability, and advancing Apple&rsquo;s centralized ML platform. Candidates should bring polished coding skills and a passion for machine learning and computational science. We offer a respectful work environment, flexible responsibilities, and access to world-class experts and growth opportunities. 
 
In this role, you will develop core components for our scalable ML platform, push the limits of existing training technologies, and create new techniques to overcome system constraints. Your work will be deployed on high-impact tasks across teams building Apple Intelligence products, with opportunities to open-source your contributions. We are especially looking for a PyTorch-focused ML efficiency expert to optimize training and inference performance, improve distributed training throughput, and drive system-level efficiency for large-scale models. If you have deep experience with PyTorch internals and high-performance ML infrastructure, we&rsquo;d love to hear from you. 
 
Preferred Qualifications 
 
Experience developing model parallel and data parallel training solutions and other training optimizations 
 
Experience with parallel training libraries such as torch.distributed, DeepSpeed, or FairScale 
 
Experience with CUDA-level optimization 
 
Experience building ML models targeting Apple Silicon 
 
Experience building large-scale deep learning infrastructure or platforms for distributed model training 
 
Publication record at Machine Learning conferences such as MLSys, NeurIPS, etc. 
 
Minimum Qualifications 
 
PhD or Master's degree in the area of Computer Science, or equivalent years of industry experience 
 
3+ years working with AI/ML technologies in production or research settings 
 
Strong Python programming skills 
 
Understanding software design principles, and algorithms 
 
Experience with deep learning frameworks, such as PyTorch 
 
Experience building large-scale distributed systems 
 
Familiarity with parallelization algorithms for large model training 
 
Familiarity with recent developments in foundation model architectures 
 
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 $171,600 and $302,200, 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.

Senior Machine Learning Efficiency Engineer - SIML, ISE

At Apple, we believe that technology should enrich people's lives in meaningful ways. Apple Services-including the App Store, Apple Music, Apple TV+, and Podcasts-connect millions of users worldwide to the content and experiences they love. Behind these services are sophisticated AI and machine learning systems that power personalized recommendations, intelligent search, and content discovery. The quality of these experiences depends fundamentally on the integrity of the data that fuels them. 
 
Join the Human-centered AI (HAI) organization within Apple Services Engineering as a Senior Applied Scientist on our Data Quality Operations team. This is your opportunity to shape the future of data quality at Apple, working at the intersection of cutting-edge machine learning, large language models, and rigorous scientific methodology. You'll be at the forefront of designing and implementing novel, scalable quality control solutions which ensure our AI-powered services meet Apple's exacting standards for a high-quality user experience. If you're passionate about applying scientific rigor to real-world problems, thrive on innovation, and want your work to impact hundreds of millions of users, this role offers an exceptional opportunity to make a lasting contribution to products people use every day. 
 
Description 
 
We are seeking a Senior Applied Scientist to lead the design and implementation of novel, scalable quality control solutions for Apple Services. In this role, you will develop AI or ML solutions for programatically generating gold standard datasets, create anomaly detection systems, and pioneer use of Large Language Models for automated quality control. You will work closely with cross-functional teams to ensure the data powering our AI/ML systems meets the highest standards of accuracy, consistency, and relevance. 
 
&quot;,&quot;responsibilities&quot;:&quot;Develop methodologies and systems to programatically generating gold standard datasets to measure and improve data quality across diverse content types. 
 
Build and validate LLM-based grading systems that align with human judgment for tasks including content classification, quality assessment, and metadata validation. 
 
Create and deploy anomaly detection systems to proactively identify data inconsistencies, biases, and errors across production pipelines. 
 
Collaborate with AI/ML engineering, product, and data science teams to identify quality challenges and integrate solutions into production workflows. 
 
Stay abreast of the latest advancements in machine learning, AI, data quality, and LLM research, applying relevant techniques to enhance our capabilities. 
 
Mentor and guide junior team members, fostering technical excellence and innovation in data quality operations. 
 
Communicate findings and recommendations clearly to technical and non-technical stakeholders, including senior leadership. 
 
Preferred Qualifications 
 
PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, NLP or a related quantitative field with 3+ years of relevant industry experience, 
 
Experience with data labeling operations, annotation quality frameworks, or human-in-the-loop systems. 
 
Familiarity with prompt optimization frameworks or automated prompt engineering. 
 
Experience in natural language processing (NLP) or natural language understanding (NLU). 
 
Experience with MLOps practices and tools for deploying, monitoring, and managing ML models in production. 
 
Familiarity with cloud platforms (e.g., AWS, GCP, Azure) or large-scale distributed infrastructure systems. 
 
Prior experience contributing to open-source projects or publishing research in relevant academic conferences or journals. 
 
Minimum Qualifications 
 
3+ years of industry experience in an Applied Scientist, Machine Learning Engineer, or Data Scientist role with focus on data quality, evaluation, or related areas. 
 
Proven experience designing, building, and deploying scalable data quality or evaluation systems in production environments. 
 
Strong hands-on experience with Large Language Models (LLMs) including prompt engineering, fine-tuning, and applications such as grading, validation, or classification. 
 
Proficiency in Python, data science libraries (pandas, NumPy, scikit-learn, PyTorch, TensorFlow), SQL, and distributed computing environments (Spark, Hadoop). 
 
MS in Computer Science, Machine Learning, Statistics, Applied Mathematics, NLP or a related quantitative field with 3+ years of relevant industry experience, OR BS degree in a related quantitative field with 8+ years of relevant industry experience. 
 
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 $171,600 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.

Sr Applied Scientist, AI/ML Evaluation Quality, Apple Services Engineering

Axon

<div><div><h4 class="jobSectionHeader">Join Axon and be a Force for Good.</h4>

At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. 
 
Life at Axon is fast-paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter.</div>
Your Impact

As a Senior Advanced Development Engineer II on Axon's New Ventures team, you will lead complex, multi-disciplinary prototype efforts with electrical engineering at the core. You'll take ambiguous, high-risk ideas and turn them into concrete systems, experiments, and evidence that help Axon decide whether&mdash;and how&mdash;to invest. 
 
This role is ideal for a senior engineer with deep electrical expertise who thrives beyond traditional EE boundaries. You will shape system architecture, anticipate technical and business risks, and influence leadership decisions through hands-on prototyping and clear technical judgment&mdash;not polished production delivery.

Location: This role may be based out of Scottsdale, AZ; Seattle, WA; or Boston, MA, and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesday through Friday, with flexibility to work remotely on Mondays, unless there is an approved workplace accommodation.

What You'll Do
<ul>
<li>Lead the development of multi-disciplinary prototypes where electrical engineering is a primary driver of feasibility and risk</li>
<li>Architect and build electrical systems for exploratory hardware concepts, spanning power, sensing, actuation, compute, and communications</li>
<li>Integrate electrical designs with mechanical systems and software to deliver cohesive, end-to-end prototypes</li>
<li>Independently navigate high ambiguity, identifying the right experiments to reduce technical and business uncertainty</li>
<li>Anticipate electrical, system-level, and operational risks and propose mitigation strategies early</li>
<li>Drive Build&ndash;Measure&ndash;Learn cycles focused on feasibility, reliability, and real-world behavior&mdash;not production polish</li>
<li>Contribute significantly to business case development, including feasibility assessments, risk analysis, and resource estimates</li>
<li>Communicate technical findings and recommendations clearly to senior stakeholders and executives</li>
<li>Mentor other engineers by modeling strong system thinking and cross-disciplinary problem solving</li>
<li>Help define what &quot;good enough&quot; looks like for prototypes intended to inform leadership decisions</li>
</ul><h3 class="jobSectionHeader">What You Bring</h3>

You bring deep electrical engineering expertise as your primary discipline, paired with meaningful hands-on experience building electromechanical or physical systems that extend beyond traditional Electrical Engineering scope. You likely have:
<ul>
<li>A Bachelor's degree in Electrical Engineering or a related field, or equivalent practical experience</li>
<li>8+ years of experience designing, building, and debugging electrical systems for complex or novel hardware</li>
<li>Primary depth in electrical engineering, such as power systems, sensing, signal integrity, controls, or system-level electrical architecture</li>
<li>Demonstrated hands-on experience in at least one secondary discipline, most commonly:</li>
<li><ul><li>Mechanical engineering or electromechanical system design, or</li>
<li>Embedded or systems-level software used to control or evaluate physical systems (not firmware-only)</li>
</ul></li><li>A track record of building end-to-end prototypes where you personally worked outside EE, for example:</li>
<li><ul><li>Designing and assembling electromechanical systems involving motors, actuators, mechanisms, or moving assemblies</li>
<li>Modifying mechanical designs to resolve electrical, sensing, or control constraints</li>
<li>Building and iterating physical prototypes where electrical and mechanical decisions were tightly coupled</li>
</ul></li><li>Experience making technical trade-offs that span electronics, mechanics, and physical behavior, not just circuit-level optimization</li>
<li>Comfort operating without defined requirements, using experimentation and prototyping to create clarity</li>
<li>Strong communication skills, including the ability to explain system-level trade-offs to non-EE stakeholders</li>
<li>Alignment with Axon's values, including ownership, curiosity, candor, and a commitment to Protect Life</li>
</ul><h3 class="jobSectionHeader">Core Experience Focus &ndash; Electrical Engineering with Multidisciplinary Build Experience</h3>

For this role, we are specifically seeking candidates who bring electrical engineering as their primary discipline, plus demonstrated hands-on experience building beyond EE. This role is not a fit for candidates whose experience is limited to electrical subsystem design, schematic ownership, or sustaining work&mdash;even at a senior level. 
 
Relevant experience includes (but is not limited to):
<ul>
<li>Owning prototypes that required co-design across electrical and mechanical systems, such as sensing, actuation, motion, or power transfer</li>
<li>Designing, assembling, and iterating electromechanical or physical systems where electrical and mechanical decisions were tightly coupled</li>
<li>Contributing meaningfully outside EE by modifying mechanical assemblies, mechanisms, or physical layouts when the prototype demanded it</li>
<li>Writing software (including embedded or systems-level code, not firmware-only) as part of building and evaluating complete physical systems</li>
<li>Designing and running experiments where electrical performance, mechanical behavior, and physical constraints jointly shaped outcomes</li>
</ul><h4 class="jobSectionHeader">Benefits that Benefit You</h4>
<ul><li>Competitive salary and 401k with employer match</li>
<li>Discretionary paid time off</li>
<li>Paid parental leave for all</li>
<li>Medical, Dental, Vision plans</li>
<li>Fitness Programs</li>
<li>Emotional &amp; Mental Wellness support</li>
<li>Learning &amp; Development programs</li>
<li>Employee Resource Groups (ERGs)</li>
<li>And yes, we have snacks in our offices</li>
</ul>
Benefits listed herein may vary depending on the nature of your employment and the location where you work.<div> 
Don't meet every single requirement? That's ok. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve.

Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the job description. If you're excited about this role and our mission to Protect Life but your experience doesn't align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Important Notes

The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions.

Some roles may also require legal eligibility to work in a firearms environment.

We collect personal information from applicants to evaluate candidates for employment. You may request access, deletion, or exercise other CCPA rights at axongreenhousesupport@axon.com or via our Axon Privacy Web Form. For more information, please see the Your California Privacy Rights section of our Applicant and Candidate Privacy Notice.

Axon's mission is to Protect Life and is committed to the well-being and safety of its employees as well as Axon's impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment.

We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We're committed to hiring the best talent &mdash; regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances &mdash; and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email recruitingops@axon.com. Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes.</div></div>

Sr. Advanced Development Engineer

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