business teacher (postsecondary – ai training)

member of technical staff - model training

staff software engineer, intelligence tooling and enablement

aircraft maintenance technician - a&p mechanic

category management project intern (tiktok shop - operation center) - 2026 start (bs/ms)

business teacher (postsecondary – ai training) Jobs in Seattle

member of technical staff - model training Jobs in Seattle

principal technical program manager Jobs in Seattle

principal technical program manager

research technician ii

staff software engineer, intelligence tooling and enablement Jobs in Seattle

member of technical staff model training

<div><div><h3 class="jobSectionHeader">About xAI</h3>

xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.</div><h3 class="jobSectionHeader">
ABOUT THE ROLE:</h3>
<ul><li>You will work on the most critical modeling challenges at any given time.</li>
<li>You will get clarity on your first project before an offer.</li>
</ul><h3 class="jobSectionHeader">BASIC QUALIFICATIONS:</h3>
<ul><li>You believe truth-seeking AI is the most important and challenging problem.</li>
<li>You are obsessed about building incredibly useful models.</li>
<li>You are a power user of AI models.</li>
<li>If you previously trained models used by millions of people it's a big plus, but modeling experience is not required.</li>
<li>You take pride in your work and thrive in meritocratic environments.</li>
</ul><h3 class="jobSectionHeader">COMPENSATION AND BENEFITS:</h3>

$180,000 - $600,000 USD

Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short &amp; long-term disability insurance, life insurance, and various other discounts and perks.<div> 
xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.</div></div>

Member of Technical Staff - Model Training

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
AWS Trainium is deployed at scale, with millions of chips in production, used for training and inference of frontier models. AWS Neuron is the software stack for Trainium, enabling customers to run deep learning and generative AI workloads with optimal performance and cost efficiency.
 
 
AWS Neuron is hiring a Principal Technical Product Manager to define and drive product strategy for training software on Trainium. This includes distributed training libraries, post-training workflows (RLHF, DPO, fine-tuning), reinforcement learning frameworks, and training performance optimization. Your mission is to enable researchers and operators to train frontier models at scale on Trainium, from single-node experimentation to distributed training across thousands of nodes.
 
 
You will be the champion inside AWS for frontier model builders pushing the bounds of scale and resilience for current and emerging training paradigms. You will work with customers inside and outside the company to identify key improvements and stay ahead of the training landscape. You will define how Neuron supports the training AI/ML ecosystem and what tools customers will use for their training workflows on Trainium.
 
 
To be successful, you will partner with engineering teams building training libraries and distributed training infrastructure, applied scientists developing optimization techniques, and PMs responsible for compiler, runtime, NKI, and infrastructure. You will develop deep knowledge of AI/ML training architectures, distributed training systems, model parallelism strategies, and training performance optimization to effectively define product strategy and make informed technical decisions.
 
 
The Ideal Candidate
 
 
The ideal candidate will have solid understanding of large-scale model training, distributed training architectures, post-training workflows, and reinforcement learning. They should be able to assess technical implications of training software stack decisions, understand customer needs, and drive developer experience improvements. The ideal candidate can navigate ambiguity in a fast-moving, early-stage initiative, balance competing priorities across multiple workstreams, and drive alignment across engineering and science stakeholders with excellent written and verbal communication abilities 
 
Key job responsibilities 
Training Product Strategy &amp; Roadmap
 
 
Define and execute training product strategy and roadmap working backwards from customer requirements in collaboration with engineering leadership. Define the vision for how customers train frontier models at scale on Trainium, balancing performance, developer experience, and AI/ML ecosystem compatibility. Produce PRFAQs and PRDs for training capabilities. Drive technical alignment across Neuron training libraries, distributed training infrastructure, and dependencies. Partner with PMs responsible for compiler, NKI, runtime, and infrastructure. Drive trade-offs between training performance, scalability, developer experience, and AI/ML ecosystem compatibility. Define requirements for reusable training building blocks that compose into end-to-end workflows.
 
 
Post-Training, RL &amp; Emerging Workflows
 
 
Drive strategy for post-training workflows including RLHF, DPO, reward modeling, and fine-tuning at scale. Define requirements for how Neuron supports emerging training paradigms, model architectures, and RL-based optimization loops. Lead the product experience for RL research-to-production workflows on Trainium. Create and optimize RL libraries and frameworks to help researchers and production model builders.
 
 
Customer Engagement &amp; Enablement
 
 
Work with BD, Solutions Architecture, and GTM teams to engage customers training frontier models on Trainium. Understand their distributed training challenges, RL needs, performance optimization requirements, and framework preferences. Translate customer pain points into product requirements. Define success metrics for training adoption and performance. Support customer enablement for training migration and optimization.
 
 
Training AI/ML Ecosystem &amp; Delivery
 
 
Define how Neuron supports the training AI/ML ecosystem and what tools customers will use for their training workflows on Trainium. Own the technical depth on training-specific AI/ML ecosystem tools and define how Neuron's training libraries integrate with them. Track training-specific AI/ML ecosystem trends and feed them into product planning. Drive open source community engagement and upstream contributions for training-related tools. Coordinate with BD on partnership discussions where training-specific technical input is needed.
 
 
Launch &amp; Go-to-Market
 
 
Lead end-to-end launches for training capabilities, coordinating documentation, field enablement, and customer communications. Partner with Marketing and Solutions Architecture to drive awareness and adoption. Define launch success criteria and track adoption metrics.
 
 
About the team 
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. We operate with startup like velocity, prioritizing talent acquisition, hands on leadership, and flexible organization. Our senior members enjoy one on one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. 
 
 
 
 
Diverse Experiences 
 
 
 
 
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. 
 
 
 
 
Inclusive Team Culture 
 
 
 
 
Here at AWS, it's in our nature to learn and be curious. Our employee led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. 
 
 
 
 
Work/Life Balance 
 
 
 
 
We value work life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. 
 
 
 
 
Mentorship &amp; Career Growth 
 
 
 
 
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge sharing, mentorship and other career advancing resources here to help you develop into a better rounded professional. 
 
 
 
 
About Amazon Annapurna Labs 
 
 
 
 
Amazon Annapurna Labs team (our organization within AWS UC) is responsible for building innovation in silicon and software for our AWS customers. We are at the forefront of innovation by combining cloud scale with the world's most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design, software and operations. Because of our teams breadth of talent, we have been able to improve AWS cloud infrastructure in high performance machine learning with AWS Neuron, Inferentia and Trainium ML chips, in networking and security with products such as AWS Nitro, Enhanced Network Adapter (ENA), and Elastic Fabric Adapter (EFA), and in computing with AWS Graviton and F1 EC2 instances. 
 
 
 
 
About AWS Utility Computing (UC) 
 
 
 
 
AWS Utility Computing (UC) provides product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Additionally, this role may involve exposure to and experience with Amazon's growing suite of generative AI services and other cloud computing offerings across the AWS portfolio. 
 
 
 
 
About AWS 
 
 
 
 
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating, that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. 
 
 
<h2 class="jobSectionHeader">BASIC QUALIFICATIONS</h2><ul><li>7+ years of working as a Technical Product Manager experience</li><li>Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent</li><li>Experience with large-scale model training workflows, including solid knowledge of distributed training concepts</li><li>Familiarity with major AI/ML training frameworks (JAX or PyTorch) and how training libraries interact with them</li><li>Experience driving product strategy, long-term roadmap development, and cross-organizational alignment</li><li>Excellent written and verbal communication abilities, including executive-level communication</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with PyTorch or JAX distributed training</li><li>Track record of driving developer training libraries and tools</li><li>Experience with design and scaling of training optimization software (e.g., NeMo, TorchTitan, TRL, VeRL, MaxText, AXLearn, or similar)</li><li>Experience leading RL for research-to-production at scale</li><li>Experience with post-training workflows including RLHF, DPO, reward modeling, and fine-tuning</li><li>Experience with AI/ML training accelerators and hardware, including training performance optimization, profiling, and tooling</li><li>Experience with distributed training of large-scale models including model parallel training techniques (tensor, pipeline, sequence, and expert parallelism)</li><li>Experience working on open source and GitHub-first developer products with deep customer interactions</li><li>Track record of driving open standards and AI/ML ecosystem integration for training workflows</li><li>Experience operating in early-stage, ambiguous environments with startup-like velocity</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, Cupertino - 208,300.00 - 281,800.00 USD annually 
USA, WA, SEATTLE - 181,100.00 - 245,000.00 USD annually 
USA, WA, Seattle - 181,100.00 - 245,000.00 USD annually</div>

Principal PMT-ES - AI/ML Training, Annapurna Labs

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
We are working on improving shopping on Amazon using the conversational capabilities of large language models and through customer behavioral data to make them more personalized for each customer. We are searching for pioneers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry. In this role, you will be managing a team working on Large Language Model (LLM) and/or Vision-Language Model (VLM) post-training and alignment for new shopping experiences. You&rsquo;ll be working with talented scientists, engineers, and technical program managers (TPM) to innovate on behalf of our customers. If you&rsquo;re fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey!<h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</h2><ul><li>3+ years of scientists or machine learning engineers management experience</li><li>Knowledge of ML, NLP, Information Retrieval and Analytics</li><li>PhD in Computer Science, Computer Engineering, or related technical field; OR Master's Degree in Computer Science, Computer Engineering, or related technical field with 5+ years of experience as a Scientist/Engineer.</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience building machine learning models or developing algorithms for business application</li><li>Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, Palo Alto - 211,400.00 - 286,000.00 USD annually 
USA, WA, Seattle - 183,800.00 - 248,700.00 USD annually</div>

Applied Science Manager , Stores Foundation AI (SFAI)

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports &ndash; including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads. 
 
Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience. 
 
As a Prime Video technologist, you&rsquo;ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You&rsquo;ll get to work on projects that are fast-paced, challenging, and varied. You&rsquo;ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people. 
 
We&rsquo;ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you! 
 
We are looking for a Principal Science Technical Product Manager to lead the development and scaling of science-based solutions that power key customer experiences and supply chain decisions. In this cross-functional role, you will collaborate with applied/data science, engineering, operations, other product managers, and executive teams to bring AI/ML products to market, develop and grow business opportunities, and enhance our platform capabilities. 
 
Duties will include formulating a business vision for your product domain, gathering business and functional requirements from internal customers and end-users, and translating those requirements into technical specifications to build robust, scalable, and supportable solutions that work well with a range of complex systems. The Technical Product Manager serves as the technical as well as business lead throughout the entire development lifecycle including scoping, planning, conceptualizing, designing, testing, documenting, and shipping the product to the end customer, keeping in mind issues around tech debt, scalability, performance and latency, and compatibility with technology and business goals. 
 
Key job responsibilities 
<ul><li>Define and drive the product vision and roadmap for science-based products and cross-functional AI/ML initiatives for the digital supply chain</li><li>Collaborate with applied/data science teams to translate business problems into model requirements, ensuring technical feasibility and alignment with product goals</li><li>Work closely with science, engineering, operations, and business stakeholders to prioritize features and experiments</li><li>Own the full product lifecycle: from data acquisition, model development, experimentation, evaluation, deployment, and continuous monitoring</li><li>Evangelize model-driven decision-making across partner teams; help establish adoption mechanisms</li></ul> 
About the team 
We are responsible for the end-to-end digital video supply chain that powers Prime Video. Our vision is to build the most efficient, flexible, innovative, highly performant digital content supply chain in the world that is the backbone of Prime Video&rsquo;s delightful customer experience, and provides content creators the tools, building blocks, and distribution to reach familiar and new audiences, tell new kinds of stories, and inspire them to think differently.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>8+ years of technical product or program management experience</li><li>2+ years of end to end product delivery experience</li><li>Experience leading engineering discussions around technology decisions and strategy related to a product</li><li>Experience owning/driving roadmap strategy and definition</li><li>Experience with feature delivery and tradeoffs of a product</li><li>Bachelor's degree</li><li>Background in applied science or engineering, with solid understanding of model lifecycle, data readiness, and model evaluation frameworks; proven experience shipping data product or ML-based solutions at scale</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience in project management methodologies, business analysis, or process improvement</li><li>Experience driving adoption of new and disruptive technologies</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, Culver City - 179,900.00 - 243,400.00 USD annually 
USA, WA, SEATTLE - 179,900.00 - 243,400.00 USD annually</div>

Principal Product Manager Tech, Prime Video

Headspace

<div>About the Principal Software Engineer, Backend at Headspace:

At Headspace, you'll be working on a highly impactful consumer facing product that impacts millions of members globally. Our mission is to transform mental healthcare to improve the health and happiness of people all over the world, so join us to make that happen! As a Principal Engineer, you'll play a key role in shaping the technical foundation of our platform as we scale to serve millions of users. You will help us bring new features to life to meet our mission, while also helping push our platform to newer technologies as we embrace the cutting edge. A big goal needs talented people, so come join us and give your day job a sense of purpose!

What you will do:
<ul>
<li>Lead architecture and design of high-scale, low-latency applications that are core to Headspace's business and member experience.</li>
<li>Define long-term technical strategies and implementation paths for complex systems.</li>
<li>Own and drive engineering excellence across multiple domains or squads. Write high-quality, performant, and testable code &mdash; primarily in Typescript and Python &mdash; and set the standard for craftsmanship across the organization.</li>
<li>Shape product and platform evolution by partnering with PMs, EMs, and stakeholders across Product, Data, Security, and Infrastructure to align technical vision with business goals.</li>
<li>Author technical specs and RFCs that guide not only your product pillar, but the entire company through critical design decisions.</li>
<li>Take end-to-end ownership of features, from ideation and architecture to monitoring in production.</li>
<li>Mentor and elevate engineers across levels, helping them scale their impact while promoting inclusive and empowering team dynamics.</li>
<li>Drive operational excellence by developing resilient systems, implementing observability, and guiding production support practices. Lead efforts to improve system reliability, developer velocity, and cost efficiency.</li>
<li>Act as a thought leader and multiplier, identifying systemic issues and architecting platform-level solutions with reusability and extensibility in mind.</li>
<li>Provide a point of escalation for engineering teams facing complex technical challenges.</li>
<li>Define coding standards, development processes, and best practices to ensure high-quality software development across engineering.</li>
<li>Stay abreast of emerging technologies, industry trends, and best practices, evaluating their potential application and driving innovation within the software engineering and tech team broadly.</li>
</ul>
What you will bring:

Required Skills:
<ul>
<li>8+ years of professional software engineering experience, with a proven track record of building and scaling production-grade APIs and distributed backend systems.</li>
<li>Deep expertise in system design and software architecture, with the ability to decompose complex problems into scalable, maintainable components.</li>
<li>Extensive experience with Node.js, TypeScript, and Python especially in the context of building high-scale backend services.</li>
<li>Experience leading the definition, design, and delivery of complex software features in asynchronous and distributed team environments.</li>
<li>Strong hands-on experience with unit, integration, and end-to-end testing, along with building and maintaining robust CI/CD pipelines for reliable, automated delivery.</li>
<li>Exceptional communication and collaboration skills&mdash;you can influence technical direction, align stakeholders, and clearly articulate trade-offs and decisions to both technical and non-technical audiences.</li>
<li>Experience mentoring engineers and leading cross-functional technical initiatives across teams.</li>
<li>Ownership mindset: you thrive in ambiguity, consistently raise the bar, and take accountability for outcomes across teams.</li>
<li>Comfortable making strategic technical decisions and coaching others through uncertainty, with a pragmatic eye on long-term impact and technical debt.</li>
<li>Ability to balance technical excellence with product and business priorities, making decisions aligned with company goals.</li>
</ul>
Preferred Skills:
<ul>
<li>BS/MS degree in Computer Science or related field, or equivalent practical experience.</li>
<li>Demonstrated success designing and maintaining high-availability systems, with strong observability practices (metrics, logging, alerting).</li>
<li>Deep knowledge of database design, data modeling, and query performance optimization across both relational and NoSQL systems.</li>
<li>Familiarity with cloud-native architectures and services (e.g., AWS, GCP, Kubernetes) and modern DevOps practices.</li>
<li>Track record of improving engineering velocity and reducing tech debt at scale.</li>
<li>Strong debugging skills and comfort working within complex, distributed systems.</li>
<li>Demonstrated ability to drive build vs. buy vs. refactor decisions with long-term implications in mind.</li>
<li>Experience designing or maintaining Server-Driven UI (SDUI) systems to enable dynamic, schema-based UI rendering across web and mobile clients.</li>
</ul>
Location: We are currently hiring this role remotely unless SF based. Candidates must permanently reside in the US full-time.

For candidates with a primary residence in the greater SF area, this role will follow our hybrid model. You'll work 3 days per week from our office, allowing for impactful in-office collaboration and connection, while enjoying the flexibility of remote work for the rest of the week. Your recruiter will share more details about our hybrid model. 

Pay &amp; Benefits:

The anticipated new hire base salary range for this full-time position is $162,000-$258,750 + equity + benefits.

Our salary ranges are based on the job, level, and location, and reflect the lowest to highest geographic markets where we are hiring for this role within the United States. Within this range, individual compensation is determined by a candidate's location as well as a range of factors including but not limited to: unique relevant experience, job-related skills, and education or training. 
Your recruiter will provide more details on the specific salary range for your location during the hiring process.

At Headspace, base salary is but one component of our Total Rewards package. We're proud of our robust package inclusive of: base salary, stock awards, comprehensive healthcare coverage, monthly wellness stipend, retirement savings match, lifetime Headspace membership, generous parental leave, and more. Additional details about our Total Rewards package will be provided during the recruitment process.

About Headspace

Headspace exists to provide every person access to lifelong mental health support. We combine evidence-based content, clinical care, and innovative technology to help millions of members around the world get support that's effective, personalized, and truly accessible whenever and wherever they need it.

At Headspace, our values aren't just what we believe, they're how we work, grow, and make an impact together. We live them daily: Make the Mission Matter, Iterate to Great, Own the Outcome, and Connect with Courage. These values shape our decisions, guide our collaborations, and define our culture. They're our shared commitment to building a more connected, human-centered team&mdash;one that's redefining how mental health care supports people today and for generations to come.

Why You'll Love Working Here:
<ul>
<li>A mission that matters&mdash;with impact you can see and feel</li>
<li>A culture that's collaborative, inclusive, and grounded in our values</li>
<li>The chance to shape what mental health care looks like next</li>
<li>Competitive pay and benefits that support your whole self</li>
</ul>
How we feel about Diversity, Equity, Inclusion and Belonging:

Headspace is committed to bringing together humans from different backgrounds and perspectives, providing employees with a safe and welcoming work environment free of discrimination and harassment. We strive to create a diverse &amp; inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together.

As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability*, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace.
<ul><li>Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Headspace. Please inform our Talent team by filling out this form if you need any assistance completing any forms or to otherwise participate in the application or interview process.</li></ul>

Headspace participates in the E-Verify Program.

Privacy Statement

All member records are protected according to our Privacy Policy. Further, while employees of Headspace (formerly Ginger) cannot access Headspace products/services, they will be offered benefits according to the company's benefit plan. To ensure we are adhering to best practice and ethical guidelines in the field of mental health, we take care to avoid dual relationships. A dual relationship occurs when a mental health care provider has a second, significantly different relationship with their client in addition to the traditional client-therapist relationship&mdash;including, for example, a managerial relationship.
As such, Headspace requests that individuals who have received coaching or clinical services at Headspace wait until their care with Headspace is complete before applying for a position. If someone with a Headspace account is hired for a position, please note their account will be deactivated and they will not be able to use Headspace services for the duration of their employment.

Further, if Headspace cannot find a role that fails to resolve an ethical issue associated with a dual relationship, Headspace may need to take steps to ensure ethical obligations are being adhered to, including a delayed start date or a potential leave of absence. Such steps would be taken to protect both the former member, as well as any relevant individuals from their care team, from impairment, risk of exploitation, or harm.

For how how we will use the personal information you provide as part of the application process, please see: https://www.headspace.com/applicant-notice</div>

Principal Software Engineer, Backend

Uber

<div>About the Team
 
 
There are many different types of users, opening the app in many contexts, and we need to match them to the many services and content we have available. Rider Experience drives and enables the critical trip booking funnel within the Rides app that makes up almost all of the trip transactions and contributes tremendously to business growth. We actively explore algorithmic improvements to how we help millions of riders find and discover the right products every hour to move around the world, and power smart and intuitive experiences for them.
 
 
About the Role
 
 
Staff Machine Learning Engineers at Uber are passionate and pragmatic technologists who are able to translate business insight and goals into well-formulated ML projects and scalable solutions to deliver impact. They are not only collaborative role models but also approachable leaders, humble teachers while also effective in helping the team in project execution. You will work with talented people in product, science, operations, and platform teams to help build and optimize our Rider Experience products. The role requires technical chops as well as strong communication &amp; leadership skills.
 
 
What You'll Do
<ul><li>Define and execute technical strategies, spanning from model and system architecture to business objectives and stakeholder alignment.
</li><li>Lead the design, development, and production of end-to-end ML solutions for large-scale distributed systems serving billions of trips.
</li><li>Lead and mentor a team of Machine Learning Engineers (MLEs), providing technical leadership, setting the vision, and guiding the team through the full development lifecycle-from ideation to model deployment and scaling.
</li></ul>Basic Qualifications
<ul><li>Ph.D., M.S. or Bachelor in Computer Science, Mathematics with focus on Machine Learning, or equivalent technical background with exceptional demonstrated impact
</li><li>8+ years experience leading the development and deployment of ML models in large-scale production environments at top-tier ML companies
</li></ul>Preferred Qualifications
<ul><li>Expertise in search, recommendation systems, ranking/retrieval, or representation learning is highly desirable.
</li><li>Proven experience in ranking optimization across heterogeneous content types.
</li>Demonstrated success in leading cross-functional projects that deliver significant business impact. 
<li>
</li></ul> 
 
For Seattle, WA-based roles: The base salary range for this role is USD$232,000 per year - USD$258,000 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</div>

Staff Machine Learning Engineer - Rider Intelligence

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Amazon Advertising is one of Amazon's fastest-growing and most profitable businesses. Amazon's advertising portfolio helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day! 
 
The Creative X team within Amazon Advertising aims to democratize access to high-quality creatives (audio, images, videos, descriptions) by building AI-driven solutions for advertisers. To accomplish this, we are investing in Agentic AI, latent-diffusion models, large language models (LLM), generative audio (music and speech synthesis), computer vision (CV), reinforcement learning (RL), and related methods. 
 
You will be part of a close-knit team of applied scientists, product managers, other AI Engineers, and stakeholders who are highly collaborative and at the top of their respective fields. 
 
We are looking for talented AI Engineers who are adept at a variety of skills that enable deployment and productization of Generative AI models for advertising at scale. 
 
Every member of the team is expected to build customer (advertiser)-facing features, contribute to the collaborative spirit within the team, productize, deploy at scale, and bring advanced production-grade research to raise the bar within the team. 
 
Key job responsibilities 
<ul><li>Work closely with Applied Scientists and AI Engineers to develop AI agents and transform research code into production.</li><li>Own end to end deployment at scale of AI solutions.</li><li>Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.</li><li>Document processes and methods for technical and non technical audiences.</li><li>Contribute to code reviews.</li><li>Mentor and help recruit AI Engineer to the team.</li><li>Present outcomes and explain approaches to senior leadership.</li></ul> 
Why you will love this opportunity 
Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon&rsquo;s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate. 
 
About the team 
The team consists of applied scientists and AI engineers. We reside in the Creative X organization, which focuses on creating products for advertisers that will improve the quality of the creatives within Amazon Ads.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience programming with at least one software programming language</li></ul>
- - Experience setting up distributed training infrastructure. 
- - Hands on experiences with AI Agent development in real production.<h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li></ul>
- - Experience handling and organizing video assets. 
- - Ideally familiar with Amazon systems and deployment methods for production. 
 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually</div>

AI Engineer - GenAI, Creative-X

Explore 696+ Member of technical staff model training in Seattle this May. Find roles across top companies and apply now to boost your career.