software engineer

building engineer

controls engineer

ai engineer

Hive

<p><b>About Hive</b><br/>Hive is the leading provider of cloud-based AI solutions for content understanding, trusted by the world&rsquo;s largest, fastest growing, and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive&rsquo;s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.<br/>Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain &amp; Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!<br/><b>Staff Machine Learning Engineer</b><br/>In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the forefront of deep learning technology, prototyping state-of-the-art neural net models and launching these models into production. We value hard workers who have no qualms working with terabyte-scale datasets, who are interested in learning new technologies at all levels of the machine learning stack, and who move fast and take ownership of their projects. Our ideal candidate has experience creating a working machine learning-powered project from the ground up, contributes innovative ideas and ingenious implementations to the team, and is capable of planning out scalable, maintainable data pipelines.<br/><b>Responsibilities</b></p><ul><li>Everything involved in applying a ML model to a production use case, including designing and coding up the neural network, gathering and refining data, training and tuning the model, deploying it at scale with high throughput and uptime, and analyzing the results in the wild in order to continuously update and improve accuracy and speed</li><li>Write and maintain scalable, performant code that can be shared across platforms</li><li>Contribute meaningfully to the product and core backend systems by suggesting and executing improvements</li><li>Improve engineering standards, tooling, and processes</li><li>Develop novel, accurate, and performant ML algorithms for use at scale</li><li>Conduct metric-driven research experiments to improve model performance</li><li>Provide mentorship to and help onboard ML engineers</li><li>Lead cross-functional collaboration with other teams</li><li>Contribute to defining strategic direction, planning the roadmap</li><li>Maintain awareness of industry best practices for data maintenance handling as it relates to your role</li><li>Adhere to policies, guidelines and procedures pertaining to the protection of information assets</li><li>Report actual or suspected security and/or policy violations/breaches to an appropriate authority</li></ul><p><b>Minimum Requirements</b></p><ul><li>You have a Bachelor's Degree in computer science or a related field</li><li>You have 8+ years of experience building web applications</li><li>You have successfully implemented highly-available distributed systems/microservices</li><li>You have delivered scalable backend APIs</li><li>You have strong interpersonal and communication skills with a bias towards action</li><li>You have experience writing code and training across distributed systems</li><li>You have the ability to understand and make well-reasoned tradeoffs in designing features</li><li>You are an expert in machine learning frameworks, such as PyTorch or Tensorflow</li><li>You are an expert in scripting languages such as Python and/or shell scripts, particularly for data analysis</li><li>You are a subject matter expert in at least one focus area of machine learning, such as computer vision or natural language processing</li><li>You can lead end to end development of new products</li></ul><p><b>Who We Are</b><br/>We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.<br/>Thank you for your interest in Hive and we hope to meet you soon!</p><p>Job Type: Full-time</p><p>Pay: $200,000.00 - $300,000.00 per year</p><p>Work Location: In person</p>

Staff ML Engineer

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.<br>
<br>
We are looking for a Software Development Engineer II who can drive appropriate technology choices for the business, lead the way for continuous innovation, and shape the future of ad serving on Amazon search. You will build services to handle billions of requests per day, while maintaining response latency in milliseconds and meeting strict SLA requirements. It is quite routine for our systems to operate on massive datasets using distributed frameworks. You will design and code, troubleshoot, and support high volume and low latency distributed systems. The solutions you create would ensure relevant ads are served to Amazon's customers. You will directly impact our customers&rsquo; shopping experience while helping our sellers get the maximum ROI from advertising on Amazon. This role will provide exposure to innovations in product search, information retrieval, natural language processing (NLP), LLM training, deep learning, and image processing. In addition to being a strongly motivated IC, you will also be responsible for mentoring junior engineers and guiding them to deliver high impacting products and services for Amazon customers and sellers.<br>
<br>
<br>
<br>
Key job responsibilities<br>
Job Responsibilities:
<br>
<br>
<ul><li>Drive the direction of our technical solutions, and work on many different technologies such as deep learning, AWS, Auto ML, real-time ML serving systems.</li><li>Design, develop, and production software to support scalable offline machine-learning pipelines and online serving components.</li><li>Work closely with applied scientists to optimize the performance of machine-learning models, improve the team&rsquo;s machine learning productivity, and advance the technical foundation to empower our science innovation. What you create is also what you own.</li></ul></div><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></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><li>Experience building complex software systems that have been successfully delivered to customers</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></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><li>Bachelor's degree in computer science or equivalent</li><li>Experience in machine learning, data mining, information retrieval, statistics or natural language processing</li><li>Experiences with LLM, prompt engineering</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Software Development Engineer II, Sponsored Products Sourcing Delivery

Shopmonkey

<div><p>Shopmonkey's vision is to help every shop thrive by equipping them with the tools they need to run and grow their business. Our cloud based all-in-one shop management software takes owners and technicians from quote to cashing out a satisfied customer. Our software has a modern and intuitive UI and our backend is powered by the latest technologies so our clients can focus on the things they do best.</p>
<p>
As a Senior ML Engineer at Shopmonkey, you will be a part of a globally distributed engineering team working closely with your product and design counterparts. You will have the chance to work on the frontier of agentic AI, applying cutting-edge LLMs and co-pilot frameworks to meet real-world auto shop needs. Shopmonkey has the structured data, workflows, and operational maturity to deliver AI that's not only intelligent but trusted and useful. You'll move fast to bring AI agents from discovery all the way through production, helping to shape the future of the automotive care experience. <i>Please note for San Francisco Bay area-based candidates, this is a hybrid role with in-office expectations 2-3 days/week at our Morgan Hill, CA office to collaborate and stay connected.</i></p>
<h2 class="jobSectionHeader"><b>
What You Will Do:</b></h2>
<ul><li>Build and ship production-ready AI agents that automate key workflows (e.g., appointment setting, inventory ordering).</li>
<li>Design and implement workflows and scripts for agentic conversations based on real-world data.</li>
<li>Perform discovery with your Squad on key customer use cases and guide the development of use-case-driven agents.</li>
<li>Conduct end-to-end development including data gathering, hypothesis testing, prototyping, demoing, productionizing, and monitoring.</li>
<li>Implement NLP and LLM-powered components for sentiment analysis, real-time conversation evaluation, and behavior optimization.</li>
<li>Design evaluation agents to enhance the quality and coherence of autonomous conversations.</li>
<li>Work within a modern MLOps environment to ensure scalable and reliable deployment of models.</li>
<li>Contribute to analytics and predictive features such as no-show prediction and sentiment dashboards.</li>
<li>Translate complex ML workflows into digestible updates for cross-functional stakeholders.</li>
<li>Contribute to backlog velocity by owning appropriate tickets and delivering high-impact work in a collaborative, fast-paced environment.</li>
</ul><h2 class="jobSectionHeader"><b>We Are Looking For People Who Have:</b></h2>
<ul><li>Proven experience shipping models into production (not just proof-of-concepts).</li>
<li>Proficiency in Python or TypeScript; strong SQL skills for working with large-scale data.</li>
<li>Experience with LLMs and NLP frameworks (e.g., TensorFlow, Hugging Face, LangChain).</li>
<li>Cloud infrastructure experience, (e.g. GCP, AWS).</li>
<li>Understanding of MLOps, including orchestration tools like Airflow or Dagster.</li>
<li>Strong collaboration and communication skills&mdash;comfortable working with PMs, designers, engineers and other cross functional team members.</li>
<li>Conducted code reviews and have to ability to provide constructive feedback</li>
<li>Bachelor's degree in a STEM field, or equivalent practical experience.</li>
<li>5+ years of industry experience in applied machine learning or AI engineering; advanced degrees (Master's or PhD) may offset years of experience.</li>
</ul>
<p><i> </i>Bonus Points:</p>
<ul>
<li>Prior experience working at a high growth startup.</li>
<li>Experience building consumer-facing agents in vertical SaaS, in the automotive industry (business or consumers).</li>
<li>Background in data processing or real-time analytics.</li>
<li>Experience with Snowflake or other large-scale data warehouse solutions.</li>
</ul>
<p>In the United States, the range is typically a salary of $163,000 to $195,000 + bonus + equity + benefits. The range provided is Shopmonkey's reasonable estimate of the base compensation for this role. The actual amount will be based on job-related and non-discriminatory factors such as location, experience, training, skills, and abilities. Consult with your Recruiter during the initial call to determine a more targeted range based on these job-related factors. In addition to this base compensation company stock options and benefits as outlined below are included.</p><p></p><div>
<h3 class="jobSectionHeader"><b>
Why Shopmonkey?</b></h3>
<h4 class="jobSectionHeader">Shopmonkey has become an amazing environment where employees feel that they are valued as people, and not just worker bees. To ensure that our team thrives, we invest in the following perks (<b>benefits below are mainly for U.S. based, full-time employees).</b> Other benefits vary upon location outside of the United States, and employment status:</h4>
<h3 class="jobSectionHeader"><b> Health &amp; Wellness</b></h3>
<ul><li>Medical, dental, vision, and life insurance benefits available the 1st of the month following hire date</li>
<li>Short term and long term disability</li>
<li>Employee assistance program</li>
<li>Reimbursement for a personal health and wellness membership</li>
<li>Generous parental leave</li>
<li>401(k) available upon hire</li>
</ul><h3 class="jobSectionHeader"><b>&#9992;&#65039; Time Off</b></h3>
<ul><li>11 paid holidays</li>
<li>Flexible time off - take the time off you need!</li>
</ul> <h3 class="jobSectionHeader"><b>Giving Back</b></h3>
<ul><li>Matching donations for approved charitable organizations</li>
<li>Group volunteer efforts</li>
</ul><h4 class="jobSectionHeader">Check out our founder's story, life page, or hear from real employees about what it's like to work at Shopmonkey.</h4>
<h4 class="jobSectionHeader">Join our team of hungry, humble, smart people who love what they do, and change the auto industry by helping every shop thrive.</h4>
<h3 class="jobSectionHeader"><b>About the Industry</b></h3>
<h4 class="jobSectionHeader">The U.S. is the second largest passenger vehicle market with more than 260 million registered passenger vehicles, and the global car repair market is estimated to be worth more than $500B. Shopmonkey aims to change the status quo and enable auto shops to become more efficient and give their customers a more delightful experience.</h4>
<h3 class="jobSectionHeader"><b>About Shopmonkey</b></h3>
<h4 class="jobSectionHeader">Shopmonkey is the leading auto-repair shop software company; it is a cloud-based solution that helps auto-repair shops consolidate tools, save time, and streamline their entire operation onto a simple, easy-to-use platform.</h4>
<h4 class="jobSectionHeader">Headquartered in Silicon Valley and trusted by more than 3,500+ auto shops across the U.S. and Canada, Shopmonkey aims to change the status quo of the car repair market, estimated to be worth more than $500B.</h4>
<h4 class="jobSectionHeader">In 2021 Shopmonkey raised a $75 million Series C, supported by top-tier Silicon Valley venture capital firms Bessemer Venture Partners, Index Ventures, Headline, I2BF, and ICONIQ Growth.</h4>
<p>
In 2022, Shopmonkey was named #4 on Forbes' annual ranking of America's Best Startup Employers list (and #1 in Business Products &amp; Software Services). Shopmonkey was once again named as one of America's Best Startup Employers by Forbes in 2023 and 2024.</p>
<h4 class="jobSectionHeader"><i>
Shopmonkey is committed to building a diverse and inclusive team. We are looking for team members from all backgrounds that are committed to the Shopmonkey mission.
</i></h4><h4 class="jobSectionHeader"><i>Shopmonkey provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.</i></h4>
<p><i>
Shopmonkey is committed to the full inclusion of all qualified individuals. In keeping with our our commitment, Shopmonkey will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please contact our Talent Team at </i><i>hiring@shopmonkey.io</i><i>.</i></p>
<p><b>
Please note: </b>Shopmonkey will never request sensitive information such as your social security number, bank account information, or other non-publicly available information during the application and interview process. If an applicant is extended an offer of employment, such sensitive information will be requested at that time. Shopmonkey will never ask you to receive and ship packages or goods as part of the interview. Other practices to be on alert for:</p>
<ul>
<li>Contact initiated via unsolicited text message or cold call. Shopmonkey does not follow up with candidates through instant messaging applications.</li>
<li>Our Talent Acquisition team only corresponds from email addresses with the domain '@Shopmonkey.io'. If a generic email ID ending with Gmail/Yahoo or other domain is used while receiving a job offer or interview call, there is a likelihood of a scammer.</li>
<li>While some of our jobs can be found on third party job sites, all of our current job opportunities and descriptions are posted on Shopmonkey's Careers page, or our official LinkedIn Company Page</li>
</ul>
<p>The U.S. Federal Trade Commission has published helpful articles to help individuals learn more about protecting themselves from recruiting scams and financial fraud. If you believe you were a victim of such a scam, you may contact your local law enforcement agencies. Shopmonkey is not responsible for any claims, liability, losses, damages, or expenses resulting from scammers or impersonators.</p></div></div><p></p>

Senior ML Engineer

Overland AI

<div>
 <strong>
  About Overland AI
  <br/>
  <br/>
 </strong>
 Founded in 2022 and headquartered in Seattle, Washington, Overland AI is transforming land operations for modern defense. The company leverages over a decade of advanced research in robotics and machine learning, as well as a field-test forward ethos, to deliver combined capabilities for unit commanders. Our OverDrive autonomy stack enables ground vehicles to navigate and operate off-road in any terrain without GPS or direct operator control. Our intuitive OverWatch C2 interface provides commanders with precise coordination capabilities essential for mission success.
 <br/>
 <br/>
 Overland AI has secured $42M in funding, including a Series A led by 8VC, and built trusted partnerships with DARPA, the U.S. Army, Marine Corps, and Special Operations Command. Backed by eight-figure contracts across the Department of Defense, we are strengthening national security by iterating closely with end users engaged in tactical operations.
 <br/>
 <br/>
 We are looking for machine learning experts to join our team to advance the state of off-road autonomy.
 <br/>
 <br/>
 <em>
  Experienced, well-qualified remote candidates able to work during Pacific Time Zone business hours will be considered.
  <br/>
  <br/>
 </em>
 <strong>
  In this role, you will:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, prototype, and deploy machine learning algorithms related to perception, state estimation, and behavior planning (Python).
  </li>
  <li>
   Identify, implement, and respond to meaningful metrics that affect vehicle behavior.
  </li>
  <li>
   Serve as a technical expert for the team balancing short-term deliverables and long-term directions.
  </li>
  <li>
   Collaborate closely with experts across disciplines to work across the entire stack to improve the reliability and performance of the system.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   MS/PhD with publications in top-tier ML/CV venues (ICML, NeurIPS, ICLR, CVPR, ICCV, ECCV), OR equivalent years of industry experience in an applied research setting working on multi-year problems.
  </li>
  <li>
   Expert in a relevant ML topic such as sequential prediction, structured prediction, inverse reinforcement learning, transformers, deep learning optimization, etc.
  </li>
  <li>
   Excellent linear algebra, probability theory, and optimization knowledge.
  </li>
  <li>
   Extensive experience in Python and a deep learning framework such as Pytorch, JAX, Tensorflow, etc.
  </li>
  <li>
   You excel in a small-team atmosphere, taking ownership of problems and working with your colleagues to solve problems across disciplines.
  </li>
  <li>
   Ability to obtain and maintain a DOD Security Clearance.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Knowledgeable in any related technologies such as C++, CUDA, ROS, etc.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 Overland AI believes in creating a work environment that you look forward to embracing every day.
 <br/>
 <br/>
 <br/>
 <br/>
 <ul>
  <li>
   The salary range for this position is $120K to $300K annually
  </li>
  <li>
   Equity compensation
  </li>
  <li>
   Best-in-class healthcare, dental and vision plans.
  </li>
  <li>
   Unlimited PTO
  </li>
  <li>
   401k with company match
  </li>
  <li>
   Parental leave
  </li>
 </ul>
</div>


Software Engineer, Machine Learning (All levels)

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Do you want a role with deep meaning and the ability to make a massive impact? Hiring top talent is not only critical to Amazon&rsquo;s success&mdash;it can literally change the world. It took a lot of great hires to deliver innovations like AWS, Prime, and Alexa, which make life better for millions of customers around the world every day. As part of the Intelligent Talent Acquisition (ITA) team, you'll have the opportunity to reinvent the hiring process and deliver unprecedented scale, sophistication, and accuracy that Amazon's Talent Acquisition operations need.<br>
<br>
ITA is an industry-leading people science and technology organization made up of scientists, engineers, analysts, product professionals and more. Our shared goal is to fairly and precisely connect the right people to the right jobs. Last year, we delivered over 6 million online candidate assessments, replacing the &quot;game of chance&quot; with a merit-based approach that gives candidates the chance to showcase their true skills. Each year we help Amazon deliver billions of packages around the world by making it possible to hire hundreds of thousands of associates in the right quantity, at the right location and at exactly the right time. You&rsquo;ll work on state-of-the-art research, advanced software tools, new AI systems, and machine learning algorithms to solve complex hiring challenges. Leveraging Amazon's in-house tech stack built on AWS, you'll have the autonomy and flexibility to bring innovative solutions to life. One day, we can bring these solutions to the rest of the world. Join ITA in using cutting-edge technologies to transform the hiring landscape and make a meaningful difference in people's lives. Together, we can solve the world's toughest hiring problems.<br>
<br>
Key job responsibilities<br>
<ul><li>Lead development and launch of some of the core product features to help with processing analytics at scale.</li><li>Have significant influence on our overall strategy by helping define these product features.</li><li>Drive the system architecture</li><li>Spearhead the best practices that enable a quality product.</li></ul><br>
A day in the life<br>
You are perfect for this role if you...<br>
<ul><li>Possess a demonstrated track record of success in delivering new features and products.</li><li>Commit to team work and possess strong communication skills, with both business and technical partners.</li><li>Create reliable, scalable, and high-performance products requires exceptional technical expertise</li><li>Have a sound understanding of the fundamentals of Computer Science, and practical experience building large-scale distributed systems.</li><li>Thrive and succeed in delivering high quality technology products/services in a hyper-growth environment where priorities shift fast.</li></ul><br>
About the team<br>
Within ITA, the Hiring Intelligence, Science &amp; Experimentation (HIRISE) team leverages Agentic AI and data analytics to revolutionize hiring through interactive, personalized assessments and intelligent chat-based systems. Our AI-powered web products transform recruitment by providing real-time insights, detecting patterns, and surfacing hiring anomalies through natural language queries. Rooted in simplicity, scalability, and sustainability, HIRISE serves as ITA's central intelligence hub, enabling global stakeholders to make data-driven decisions. Our innovative solutions combine traditional evaluation methods with conversational AI to create effective recruiting processes while predicting hiring trends. Working at the convergence of artificial intelligence and talent acquisition, you'll develop adaptive systems that scale with business growth, experiment with cutting-edge AI technologies, and deliver exponential value through intelligent automation and insights.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Experience (non-internship) in professional software development</li><li>Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design</li><li>Bachelor's degree in computer science or equivalent</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations</li><li>Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems</li><li>Experience in machine learning, data mining, information retrieval, statistics or natural language processing</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Software Development Engineer, Hiring Intelligence, Science & Experimentation (HIRISE)

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></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.<br>
<br>
Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience.<br>
<br>
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.<br>
<br>
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!<br>
<br>
We are forming a new organization within Prime Video to redefine our operational landscape through the power of artificial intelligence. As a Applied Scientist within this initiative, you will be a technical leader helping to design and build the intelligent systems that power our vision. You will tackle complex and ambiguous problems, designing and delivering scalable and resilient agentic AI and ML solutions from the ground up. You will not only write high-quality, maintainable software and models, but also mentor other scientists, influence our technical strategy, and drive engineering best practices across the team. Your work will directly contribute to making Prime Video's operations more efficient and will set the technical foundation for years to come.<br>
<br>
Key job responsibilities<br>
<ul><li>Lead the design and architecture of highly scalable, available, and resilient services for our AI automation platform.</li><li>Write high-quality, maintainable, and robust code to solve complex business problems, building flexible systems without over-engineering.</li><li>Act as a technical leader and mentor for other engineers on the team, assisting with career growth and encouraging excellence.</li><li>Work through ambiguous requirements, cut through complexity, and translate business needs into scalable technical solutions.</li><li>Take ownership of the full software development lifecycle, including design, testing, deployment, and operations.</li><li>Work closely with product managers, scientists, and other engineers to build and launch new features and systems.</li></ul><br>
About the team<br>
This role offers a unique opportunity to shape the future of one of Amazon's most exciting businesses through the application of AI technologies. If you're passionate about leveraging AI to drive real-world impact at massive scale, we want to hear from you.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building models for business application experience</li><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience using Unix/Linux</li><li>Experience in professional software development</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
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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.<br>
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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.<br>
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Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Applied Scientist, AI Automation, Prime Video

<p><b>About Hive</b></p><p>Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive&rsquo;s solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.</p><p>Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain &amp; Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!</p><p><b>Engineering Manager Role</b></p><p>In order to execute our vision, we're constantly growing our engineering team. We are looking for an exceptional leader to help us with that growth, making sure that each engineer reaches their full potential. We value hard workers who have no qualms working with terabyte-scale datasets, are interested in learning new technologies at all levels of the stack, and move fast and take ownership of their projects. Our ideal candidate has experience managing a team of engineers working on infrastructure projects of a massive scale, contributes innovative ideas and ingenious implementations to the team, and is capable of mentoring junior engineers through their journey to become better.</p><p><b>Responsibilities</b></p><ul><li>Interface closely with product management, machine learning, QA, and sales teams to build roadmap in supporting the long term vision of the team</li><li>Lead a development team of highly capable and passionate engineers, helping them achieve their goals through mentorship</li><li>Participate in products technical design and architecture</li><li>Participate in the full development cycle: design, develop, QA, experiment, analyze, and deploy</li><li>Drive delivery for our product milestones, continually releasing features and ensuring quality metrics are achieved</li><li>Implement and manage security protocols such as training, code review, and best practices</li><li>Own and manage the risk and security of your business function in coordination with the Security Team</li><li>Maintain awareness of industry best practices for data maintenance handling as it relates to your role</li><li>Adhere to policies, guidelines and procedures pertaining to the protection of information assets</li><li>Report actual or suspected security and/or policy violations/breaches to an appropriate authority</li></ul><p><b>Requirements</b></p><ul><li>Undergraduate or graduate degree in computer science or similar technical field</li><li>4+ years experience developing software as an engineer, with experience in distributed systems and large scale application development a plus</li><li>3+ years experience managing engineering teams. Familiar with several programming languages, frameworks, and technologies such as Node, C++, Scala/Spark, SQL, Cassandra, Docker, etc</li><li>Management skills: ability to set roadmap and goals for a team and its individual members, delegate, mentor, and deliver results</li><li>Have a desire to interview engineers, collaborate with a recruiting team, and smoothly onboarding new team members</li><li>Have experience collaborating with product managers and QA in delivering product features</li></ul><p><b>Who We Are</b></p><p>We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.</p><p>Thank you for your interest in Hive and we hope to meet you soon!</p><p>Job Type: Full-time</p><p>Pay: $160,000.00 - $250,000.00 per year</p><p>Work Location: In person</p>

Engineering Manager (Seattle)

Explore 75+ Ai engineer in Seattle this November. Find roles across top companies and apply now to boost your career.