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adversarial machine learning engineer

senior research engineer

University Of Washington

<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

Apple

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

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

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

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

lululemon

who we are
 
lululemon is an innovative performance apparel company for yoga, running, training, and other athletic pursuits. Setting the bar in technical fabrics and functional design, we create transformational products and experiences that support people in moving, growing, connecting, and being well. We owe our success to our innovative product, emphasis on stores, commitment to our people, and the incredible connections we make in every community we're in. As a company, we focus on creating positive change to build a healthier, thriving future. In particular, that includes creating an equitable, inclusive and growth-focused environment for our people.
 
about this team
 
lululemon Engineering is dedicated to building secure, reliable, and performant products for our guests and partners. We embrace the philosophies of Agile, DevOps, and SRE to accelerate our development process and provide the most enjoyable, inclusive, and supportive work environment possible. We believe our journey is more fun when it is collaborative, as we focus on the future instead of the past. As an Engineer, you will work as part of a global team supported by our business and architecture partners to help us collaboratively develop and deliver industry leading technology solutions that drive lululemon’s business goals.
 
core responsibilities
 
As a Senior Engineer II, you will work as the technical leader for the product(s) your team delivers. You will be counted on as a leader in your technology space, as you contribute to all areas of development and operations (pre-production to production). As a Senior Engineer II, you will dedicate a fair amount of time to the planning and discovery of tools and practices inside your given area of expertise. You will apply that knowledge by working closely with Staff Engineers to promote platform level change. Senior Engineer IIs, take production readiness and performance personally and help drive continuous improvement. You will be part of a day-to-day production release team and may perform on-call support functions as needed. You will be considered the technical owner of the production system(s) you work on and focus on how your product(s) are delivered and how to optimize them for efficiency, security and reliability.
 <ul>
<li>Main contributor for product roadmaps and reliability strategy</li>
<li>Partner with project management to deliver status and performance updates</li>
<li>Conduct research to aid in product development and tools selection</li>
<li>Provide an escalation point and participate in on-call support rotations</li>
<li>Actively monitor key metrics, reports on trends, and make improvement recommendations</li>
<li>Facilitate an Engineering Community of Practice for your product(s)</li>
<li>Contribute to engineering automation, management or development of production level systems</li>
<li>Review product roadmaps and guide intake acceptance for a set of production systems</li>
<li>Own reliability for a defined set of production systems</li>
<li>Own the delivery lifecycle for a defined set of production systems</li>
</ul>
qualifications
 <ul>
<li>Completed Bachelor’s degree or diploma (or equivalent experience) in Computer Science, Software Engineering or Software Architecture preferred; candidates with substantial and relevant industry experience are also eligible</li>
<li>Eight+ years of engineering experience</li>
<li>Ability to learn, understand, and work quickly with new emerging technologies, methodologies, and solutions in the Cloud/IT technology space</li>
<li>Apply proven SRE methodologies to maintain system reliability, scalability, and rapid incident recovery.</li>
<li>Architect and oversee infrastructure platforms that enable efficient development, deployment, and operational excellence.</li>
<li>Implement robust alerting strategies to detect anomalies early and trigger rapid response actions.</li>
<li>Design comprehensive monitoring solutions that track performance metrics, system health, and user experience.</li>
<li>Leverage Datadog for real‑time observability, analytics, and integration across applications and services.</li>
<li>Utilize Splunk to collect, index, and analyze log data for security, compliance, and operational insights.</li>
<li>Incorporate Quantametrics to deliver deep performance benchmarking and optimization recommendations.</li>
<li>Ability to assume the leadership/mentorship of Engineers</li>
</ul>
must haves
 <ul>
<li>Acknowledge the presence of choice in every moment and take personal responsibility for your life.</li>
<li>Possess an entrepreneurial spirit and continuously innovate to achieve great results.</li>
<li>Communicate with honesty and kindness and create the space for others to do the same.</li>
<li>Lead with courage, knowing the possibility of greatness is bigger than the fear of failure.</li>
<li>Foster connection by putting people first and building trusting relationships.</li>
<li>Integrate fun and joy as a way of being and working, aka doesn’t take yourself too seriously.</li>
</ul>
additional notes
 Authorization to work in the United States is required for this role.
 
compensation and benefits package
 
lululemon’s compensation offerings are grounded in a pay-for-performance philosophy that recognizes exceptional individual and team performance. The typical hiring range for this position is from $136,200 - $178,700 annually; the base pay offered is based on market location and may vary depending on job-related knowledge, skills, experience, and internal equity. As part of our total rewards offering, permanent employees in this position may be eligible for our competitive annual bonus program, subject to program eligibility requirements.
 
At lululemon, investing in our people is a top priority. We believe that when life works, work works. We strive to be the place where inclusive leaders come to develop and enable all to be well. Recognizing our teams for their performance and dedication, other components of our total rewards offerings include support of career development, wellbeing, and personal growth:
 <ul>
<li>Extended health and dental benefits, and mental health plans</li>
<li>Paid time off</li>
<li>Savings and retirement plan matching</li>
<li>Generous employee discount</li>
<li>Fitness & yoga classes</li>
<li>Parenthood top-up</li>
<li>Extensive catalog of development course offerings</li>
<li>People networks, mentorship programs, and leadership series (to name a few)</li>
</ul>
Note: The incentive programs, benefits, and perks have certain eligibility requirements. The Company reserves the right to alter these incentive programs, benefits, and perks in whole or in part at any time without advance notice.
 
workplace arrangement
 
In-person collaboration and connection is important to our culture. Work is performed onsite, minimum 4 days per week.
 
#LI-Onsite
 
#LI-VJ1

Senior Engineer II - Digital Platforms - SRE/Datadog

The Applied Machine Learning team builds production multimodal systems that understand and transform large-scale image, audio, and video content. Our work spans diffusion-based image generation, transcription and diarization, face and object detection, OCR and image description for search, and automated quality control of media pipelines. 
 
We are looking for a Staff Machine Learning Engineer to strengthen our diffusion and video models, adapt small and mid-sized LLMs, and turn our uniquely large corpus of weakly labeled media into a durable product advantage. This is an opportunity to shape the next generation of multimodal experiences end-to-end, from data and models to evaluation and user impact. 
 
Description 
 
The Staff Machine Learning Engineer - Multimodal Generation &amp; Post-Training will be a senior individual contributor on a small, applied ML team focused on production multimodal systems. The role will lead fine-tuning and adaptation of diffusion and emerging video models, as well as post-training of small and medium LLMs for captioning, moderation, and retrieval-friendly descriptions. 
 
The engineer will design data and evaluation workflows that use our large archive of weakly labeled music, podcast, film, TV, and short-form content to drive measurable quality and efficiency improvements. The role includes close collaboration with partner infra teams for model serving and with adjacent product and research groups to bring new capabilities into production. 
 
Preferred Qualifications 
 
PhD in Computer Science, Machine Learning, or a related technical field. 
 
8+ years of industry experience with production multimodal systems spanning image, audio, and/or video. 
 
Deep expertise with diffusion and video generation techniques (e.g., ControlNet/IP-Adapter, temporal consistency methods, sampling and latency optimization). 
 
Experience with PEFT/QLoRA and post-training approaches such as DPO or related preference-based methods for small and mid-sized LLMs. 
 
Background in ASR/VAD/diarization, OCR, multimodal retrieval, or face recognition with fine-grained temporal alignment. 
 
Familiarity collaborating with infra/platform teams on model serving (e.g., batching strategies, quantization, observability) and translating requirements into reliable production deployments. 
 
Demonstrated ability to define metrics, build evaluation harnesses, and communicate results clearly to cross-functional partners. 
 
Track record of publications, patents, or open-source contributions in relevant areas of machine learning or multimodal modeling. 
 
Minimum Qualifications 
 
Master&rsquo;s degree in Computer Science, Electrical Engineering, or a related technical field, or equivalent practical experience. 
 
5+ years of hands-on industry experience building and shipping machine learning systems to production. 
 
Proven experience training and fine-tuning diffusion or other image/video generative models, including adapter-based methods such as LoRA. 
 
Proficiency in Python and at least one major deep learning framework such as PyTorch. 
 
Experience designing and operating ML pipelines for noisy or weakly labeled data, including offline evaluation and monitoring in production. 
 
Strong software engineering skills, including code quality, experimentation discipline, and debugging/profiling of model performance. 
 
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 $201,300 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.

Staff Machine Learning Engineer, Apple Services Engineering

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