software engineer

backend software engineer Jobs in San Francisco

backend software engineer

lead java software engineer Jobs in San Francisco

lead java software engineer

machine learning scientist, risk Jobs in San Francisco

machine learning scientist, risk

platform engineer

machine learning engineer

Uber

<div>About the Role
 
 
The Courier Pricing team sits within Uber's Delivery Marketplace org and plays a key role in shaping pricing across food, grocery, and other delivery verticals. We work closely with cross-functional teams to develop scalable pricing products that keep our marketplace efficient, reliable, and ready to grow. As a Sr Staff Machine Learning Engineer, you'll build a world-class pricing system that efficiently prices every offer made to Uber's delivery partners-impacting hundreds of millions of consumers and millions of merchants worldwide.
 
 
What You Will Do
 
 
Technical Leadership &amp; Innovation
 
<ul><li>Lead the design and implementation of advanced ML systems for courier pricing algorithms serving millions of couriers
</li>Own end-to-end ML model lifecycle from research through production deployment and continuous optimization 
<li>
</li></ul> 
 
Platform &amp; Architecture
 
<ul><li>Build scalable ML architecture and feature management systems supporting Courier Pricing and broader Marketplace teams
</li><li>Design experimentation frameworks enabling rapid testing of pricing algorithms using A/B, Switchback, Synthetic Control, and other experimental methodologies
</li><li>Establish ML engineering best practices, monitoring, and operational excellence across the organization
</li>Create platform abstractions that enable other ML engineers to iterate faster on pricing algorithms 
<li>
</li></ul> 
 
Cross-Functional Impact
 
<ul><li>Collaborate with Marketplace Engineering and Science teams to productionize cutting-edge ML research
</li><li>Work with Platform Engineering teams to ensure ML systems meet reliability and performance standards
</li>Influence technical roadmaps across multiple teams through technical leadership and strategic thinking 
<li>
</li></ul> 
 
Team Development
 
<ul><li>Mentor and grow senior ML engineers, establishing technical standards and engineering culture
</li><li>Lead technical discussions and architecture reviews for complex ML systems
</li></ul>- Basic Qualifications -
 
<ul><li>PhD in Computer Science, Machine Learning, Operations Research, or related quantitative field OR Master's degree with 12+ years of industry experience
</li><li>10+ years of experience building and deploying ML models in large-scale production environments
</li><li>Expert-level proficiency in modern ML frameworks (TensorFlow, PyTorch) and distributed computing platforms (Spark)
</li><li>Deep expertise across multiple areas including: Deep Learning, Causal Inference, Reinforcement Learning, Multi-objective Optimization, and Algorithmic Game Theory
</li><li>Proven track record of leading complex ML projects from research through production with significant measurable business impact
</li><li>Strong programming skills in Python, Java, or Go with experience building production ML systems
</li><li>Experience with feature engineering, model serving, and ML infrastructure at scale (handling millions of predictions per second)
</li><li>Technical leadership experience including mentoring senior engineers and driving cross-team technical initiatives
</li></ul>- Preferred Qualifications -
 
<ul><li>Marketplace or two-sided platform ML experience with understanding of supply-demand dynamics and pricing mechanisms
</li><li>Publications or patents in applied machine learning, particularly in areas relevant to optimization, pricing, or marketplace dynamics
</li><li>Experience with causal inference methodologies and their application to business problems with network effects
</li><li>Reinforcement learning experience in production environments with long-term optimization and strategic agent considerations
</li><li>Technical leadership experience including mentoring senior engineers and driving cross-team technical initiatives
</li><li>Experience with real-time ML systems requiring low-latency inference and high-throughput model serving
</li>Background in economics, operations research, or related quantitative disciplines with application to marketplace problems 
<li>
</li></ul> 
 
For San Francisco, CA-based roles: The base salary range for this role is USD$257,000 per year - USD$285,500 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$257,000 per year - USD$285,500 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.</div>

Sr Staff Machine Learning Engineer - Delivery Courier Pricing

Block

<div><div>Since we opened our doors in 2009, the world of commerce has evolved immensely, and so has Square. After enabling anyone to take payments and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn't work together.

So we expanded into software and started building integrated, omnichannel solutions &ndash; to help sellers sell online, manage inventory, offer buy now, pay later functionality, book appointments, engage loyal buyers, and hire and pay staff. Across it all, we've embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow in one place. Afterpay furthers our goal to provide omnichannel tools that unlock meaningful value and growth, enabling sellers to capture the next generation shopper, increase order sizes, and compete at a larger scale.

Today, we are a partner to sellers of all sizes &ndash; large, enterprise-scale businesses with complex operations, sellers just starting, as well as merchants who began selling with Square and have grown larger over time. As our sellers grow, so do our solutions. There is a massive opportunity in front of us. We're building a significant, meaningful, and lasting business, and we are helping sellers worldwide do the same.
<h3 class="jobSectionHeader">
The Role</h3>

Square risk is a core function to ensure we keep the platform as well as merchants safe by gaining their trust and through our dedicated economic empowerment. This role sits in the Square Risk Machine Learning team and we partner with product, engineering, data science, policy and operations together to take a principled approach to manage fraudulent activities on our platform.

We leverage both traditional and SOTA AI and ML techniques to detect and mitigate risks in the ecosystem. We are looking for a strong machine learning engineer to build end to end AIML solutions to elevate our risk management and optimize the way we operate. If you are strong in AIML space, like to work with smart people around the world and have passion to continuously take ownership and pride to challenge and improve stuff, you are the right person we are looking for.
<h3 class="jobSectionHeader">
You Will</h3>
<ul><li>Act as the ML modeling DRI, collaborating with platform engineers, product managers, data scientists, and policy analysts to drive the health and success of your risk squad.</li>
<li>Become a risk domain expert and trusted technical leader in your risk squad.</li>
<li>Build AI-powered automation tools or pipelines and propose improvements across Square's ML and broader Block risk ML org.</li>
Own the full lifecycle of ML solutions: data ingestion / processing / enrichment model development deployment<li> iteration.</li>
<li>Champion reusable, scalable solutions by building tools, libraries, and packages that boost team velocity.</li>
<li>Provide technical thought leadership and partner with peers and team lead to define roadmaps and execute on ambitious initiatives.</li>
<li>Contribute positively to team culture as a collaborative, empathetic, and reliable teammate who uplifts others.</li>
</ul><h3 class="jobSectionHeader">You Have</h3>
<ul><li>5+ years of software engineering or machine learning experience</li>
<li>A degree (preferably masters or PhD) in Computer Science, Engineering, Statistics, Physics, Applied Math or a related technical field</li>
<li>Hands-on experience independently designing and deploying ML solutions using methods such as tree-based models, deep learning, transfer learning, or reinforcement learning.</li>
<li>Proficiency in modern ML stacks including: PySpark, PyTorch, MLflow, SageMaker, GCP Vertex AI, Workflow orchestration tools (i.e. Airflow, Prefect)</li>
<li>Proficiency with containerization, orchestration, cloud platforms (AWS, GCP), and CI/CD practices.</li>
<li>Experience collaborating with cross-functional teams to prioritize, scope, and deploy ML/AI solutions&mdash;both traditional and LLM-based&mdash;at scale.</li>
<li>Strong written and verbal communication skills with the ability to explain complex concepts to technical and non-technical stakeholders.</li>
<li>A natural sense of curiosity, and a passion for mentoring and helping shape a world-class machine learning team.</li>
</ul>
We're working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, based solely on the core competencies required of the role at hand, and without regard to any legally protected class. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we're doing to build an inclusive workplace?

Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

Zone A: USD $189,000 - USD $283,600

Zone B: USD $179,600 - USD $269,400

Zone C: USD $170,100 - USD $255,100

Zone D: USD $160,700 - USD $241,100<div>
Use of AI in Our Hiring Process

We may use automated AI tools to evaluate job applications for efficiency and consistency. These tools comply with local regulations, including bias audits, and we handle all personal data in accordance with state and local privacy laws.

Contact us at privacy@block.xyz with hiring practice or data usage questions.

Every benefit we offer is designed with one goal: empowering you to do the best work of your career while building the life you want. Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning are just some of our offering.

Block, Inc. (NYSE: XYZ) builds technology to increase access to the global economy. Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we&rsquo;re helping build a financial system that is open to everyone.</div></div></div>

Machine Learning Scientist, Risk

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Applied Science Manager with a strong deep learning background, to lead the development of industry-leading technology with generative AI (GenAI) and multi-modal systems. 
 
Key job responsibilities 
As an Applied Science Manager with the AGI team, you will lead the development of novel algorithms and modeling techniques to advance the state of the art with multimodal systems. Your work will directly impact our customers in the form of products and services that make use of vision and language technology. You will leverage Amazon&rsquo;s heterogeneous data sources and large-scale computing resources to accelerate development with multi-modal Large Language Models (LLMs) and GenAI in Computer Vision. 
 
About the team 
The AGI team has a mission to push the envelope with multimodal LLMs and GenAI in Computer Vision, in order to provide the best-possible experience for our customers.<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>5+ years of scientists or machine learning engineers management experience</li><li>Experience building machine learning models or developing algorithms for business application</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with deep learning libraries such as PyTorch, TensorFlow, MxNet Research publications in computer vision, deep learning or machine learning at peer-reviewed workshops, conferences or journals</li><li>PhD, or Master's degree and 5+ years of applied research experience</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>PhD in Computer Vision, Computer Science, Electrical Engineering, Mathematics or related field</li><li>Experience leading, mentoring and growing teams of scientists (teams of five or more scientists)</li><li>Experience in patents or publications at top-tier peer-reviewed conferences or journals</li><li>Experience with popular deep learning frameworks, including PyTorch</li><li>Experience with learning multi-modal LLMs and GenAI in Computer Vision, both in the image and video domains</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. 
 
Pursuant to the San Francisco 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. 
 
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $165,500/year in our lowest geographic market up to $286,000/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 Science Manager, Artificial General Intelligence

Clariti Cloud Inc.

<div><div>Join our mission to provide governments with exceptional experiences so they can do the same for their communities!
<h1 class="jobSectionHeader">
What do we do?</h1>

We empower governments to deliver exceptional citizen experiences.

Check out our 'About Us' page for a deep dive into our product and what makes us exceptional.</div>
How will you help us make an impact? &zwj;&zwj;

The Senior MLOps Engineer will design, build, and scale the systems that power CivCheck and Clariti's AI capabilities. As the first MLOps Engineer, you will lead the development of robust ML infrastructure, ensuring that models move efficiently from research to production with reliability, observability, and performance at scale.This role is ideal for someone who thrives at the intersection of machine learning, software engineering, and cloud infrastructure, and who's motivated to enable teams to deliver high-impact ML systems efficiently and safely.

As a X at Clariti, you'll get to :
<ul>
<li>Design and maintain end-to-end ML pipelines for training, evaluation, and deployment of models and agentic AI workflows</li>
<li>Build and optimize infrastructure for distributed training and model serving across GPU and cloud environments.</li>
<li>Develop tools for data creation, model versioning, experiment &amp; performance tracking, and automated retraining.</li>
<li>Collaborate with AI researchers and ML engineers to productionize POCs and ensure model reproducibility and scalability.</li>
<li>Implement CI/CD best practices for ML systems, including continuous integration, automated testing, and deployment workflows.</li>
<li>Monitor and manage model health, performance, drift, and data quality in production.</li>
<li>Partner with Engineering teams to streamline infrastructure provisioning and data access.</li>
<li>Drive cost optimization and performance tuning for large-scale model training.</li>
<li>Contribute to internal documentation and best practices.</li>
</ul>
What do you bring to the team?
<ul>
<li>6&ndash;10+ years of experience in software or ML engineering, with at least 3+ in MLOps or ML infrastructure.</li>
<li>Solid experience working with Python, C, C++, Bash, etc.</li>
<li>Proven experience deploying and managing ML models in production.</li>
<li>Proficiency with Docker, and Kubernetes for scalable ML system design.</li>
<li>Experience with cloud platforms (AWS, GCP, or Azure) and GPU orchestration.</li>
<li>Hands-on knowledge of CI/CD pipelines (GitHub Actions, Jenkins, or similar). 
Familiarity with MLflow, Weights &amp; Biases, Kubeflow, and other similar tools for experiment tracking and pipeline automation.</li>
<li>Solid understanding of data versioning, model reproducibility, and monitoring strategies.</li>
<li>Excellent problem-solving skills and a collaborative, team-oriented mindset.</li>
</ul>
Bonus Points
<ul>
<li>Experience training models from scratch, including defining architectures, curating &amp; cleaning datasets, tuning training parameters, and bringing models from research to monitored production.</li>
<li>Exposure to model optimization techniques (quantization, distillation, TensorRT, ONNX).</li>
<li>Familiarity with infrastructure-as-code tools (Terraform, CloudFormation).</li>
<li>Background in distributed systems or high-performance computing.</li>
<li>Contributions to open-source projects</li>
</ul>
What's in it for you?

We invest in and empower our team members with competitive compensation packages, well deserved time off and benefits to keep you and your family healthy! *

 The base salary range for this role is expected to be between $190,000-240,000 based on the candidate's skills, experience, and qualifications while considering internal pay equity and our broader pay philosophy.

If you have questions about compensation as we move through the process, we're happy to discuss further.
<ul><li>Benefits depend on employment type (full-time, part-time, contract, etc).</li></ul><div><h1 class="jobSectionHeader"> 
Things to Note</h1>

Background checks - Because our customers trust us with sensitive information, we require all successful candidates to undergo comprehensive background checks before joining our team. We focus strictly on global sanctions and criminal offences that are directly relevant to employment at Clariti, and follow all applicable privacy and human rights legislation.

Travel- Although we operate as a remote company, all roles are expected to participate in occasional travel for in-person company-wide or departmental meetings, typically 1-2 times per year. Additional travel requirements specific to the role, if any, will be outlined in the job description.

We're committed to building an inclusive culture where our team members take ownership over projects, tasks, and outcomes; bring a growth mindset to drive continuous learning and self-development; have the ability to communicate courageously in a direct but respectful way; and are customer-focused by keeping the customer at the heart of decision-making. It's the diversity of our team that helps us make better decisions, by leveraging the diversity in thought &amp; experience across to create impactful solutions as we explore new paths &amp; challenges as we grow. We're working to create a workplace and team that is as diverse as the communities we serve. We welcome and encourage candidates of all backgrounds to apply.
<h1 class="jobSectionHeader">
Questions? We are here to help</h1>

If you require accommodations in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in our hiring process for any reason, please direct your questions to hr@claritisoftware.com and we'll be happy to support you.</div></div>

Senior MLOps Engineer

Rokt

<div>
 We are Rokt, a hyper-growth ecommerce leader. Rokt is the global leader in ecommerce, unlocking real-time relevance in the moment that matters most. Rokt's AI Brain and ecommerce Network powers billions of transactions connecting hundreds of millions of customers, and is trusted to do this by the world's leading companies.
 
 
 We are a team of builders helping smart businesses find innovative ways to meet customer needs and generate incremental revenue. Leading companies drive 10-50% of additional revenue&mdash;and often all their profits&mdash;from the extra products or services they sell. This economic edge unleashes a world of possibilities for growth and innovation.
 
 
 At Rokt, we practice transparency in career paths and compensation. At Rokt, we believe in transparency, which is why we have a well-defined career ladder with transparent compensation and clear career paths based on competency and ability. Rokt'stars constantly strive to raise the bar, pushing the envelope of what is possible.
 
 
 
 We are looking for a Software Engineer
 
 
 
 A fixed annual salary of $100,000 - $170,000, an employee equity plan grant, and world-class benefits.
 
 
 Equity grants are issued in good faith, subject to company policies, board approval, and individual eligibility.
 
 
 
 About The Role
 
 
 
 Join Rokt as a Software Engineer and become a driving force in building AI-powered products that shape the future of ecommerce. In this high-impact role, you'll leverage cutting-edge AI tools and a builder's mindset to develop scalable solutions used by millions of customers worldwide. If you're excited by the challenge of turning bold ideas into reality and pushing the boundaries of what's possible with AI, this opportunity is for you.
 
 
 
 Requirements
 
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Design &amp; Build Innovative Products: Develop and iterate on next-generation ecommerce features and services, using AI and machine learning to create intelligent, personalized experiences.
 </li>
 <li>
 Accelerate Development with AI: Leverage AI-driven tools and automation to speed up coding, testing, and deployment, allowing you to focus on creative problem-solving and quality.
 </li>
 <li>
 Full-Stack Product Ownership: Work across the entire product lifecycle&mdash;from ideation and prototyping to implementation and continuous improvement&mdash;ensuring each feature delivers real value.
 </li>
 <li>
 Collaborate &amp; Innovate: Partner with product managers, designers, and other engineers to conceptualize and implement AI-driven solutions that enhance user experience and drive business outcomes.
 </li>
 <li>
 Optimize &amp; Scale: Identify performance bottlenecks and opportunities for improvement in our systems. Use data insights to refine user interfaces, optimize algorithms, and ensure our platform can scale to billions of transactions.
 </li>
 <li>
 Drive Revenue Growth: Spearhead the development and deployment of innovative features and capabilities that directly drive growth of the business, with the potential to generate millions of dollars in additional revenue.
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 AI-Enthusiast &amp; Quick Learner: You embrace new technologies (like AI/ML frameworks) and learn rapidly, adapting to innovative tools and workflows to stay ahead of the curve.
 </li>
 <li>
 Problem Solver: You excel at breaking down complex problems using first principles and creativity. Challenges are puzzles you're excited to solve.
 </li>
 <li>
 Entrepreneurial Mindset: You take ownership of outcomes, move fast with confidence, and aren't afraid to navigate ambiguity&mdash;figuring things out independently when needed.
 </li>
 <li>
 Collaborative Team Player: You communicate clearly and work well with cross-functional teams. You value feedback, share ideas openly, and help others succeed.
 </li>
 <li>
 Driven &amp; Results-Oriented: You set high standards for your work, take pride in delivering quality, and continually seek to improve. You care about the impact of your code on the business and customers.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 Why Join Rokt
 
 
 
 <ul>
 <li>
 Build the Future of AI in Ecommerce: Be at the forefront of AI-driven transformation in a company that's pioneering how brands engage customers in the "moment that matters" during online transactions.
 </li>
 <li>
 Hyper-Growth = Fast Progression: Rokt is a rapidly growing tech leader, which means huge opportunities for your career advancement, learning, and taking on bigger responsibilities quickly.
 </li>
 <li>
 Culture of Builders: Work with a smart, humble, and bold team that shares a "builder" DNA - we love to innovate, take risks, and turn ambitious ideas into tangible results. We win as a team and learn from every experiment.
 </li>
 <li>
 Ownership &amp; Impact: Every Rokt'star (employee) has a voice and real equity in the company. You'll have autonomy to make decisions, drive projects, and see the direct impact of your work on millions of users.
 </li>
 <li>
 World-Class Benefits &amp; Support: Join a people-first culture with transparent career paths, continuous development, and great perks (equity grants, catered lunches, global offices, and more) that empower you to do your best work.
 
 
 </li>
 </ul>
 
 About The Benefits
 
 
 
 We leverage best-in-class technology and market-leading innovation in AI and ML, with all of that being underlined by building and maintaining a fantastic and inclusive culture where people can be their authentic selves, and offering a great list of perks and benefits to go with it:
 
 
 <ul>
 <li>
 Become a shareholder. Every Rokt'star gets equity in the company
 </li>
 <li>
 Enjoy catered lunch every day and healthy snacks in the office. Plus join the gym on us!
 </li>
 <li>
 Extra leave (bonus annual leave, sabbatical leave etc.)
 </li>
 <li>
 Access generous retirement plans like a 4% dollar-for-dollar 401K matching plan and get fully funded premium health insurance!
 </li>
 <li>
 Dog-friendly office
 </li>
 <li>
 Work with the greatest talent in town
 </li>
 <li>
 See the world! We have offices in New York, Seattle, Sydney, Tokyo and London
 
 
 </li>
 </ul>
 We believe we're better together. We love spending time together and are in the office most days (teams are in the office 4 days per week).
 
 
 We at Rokt choose to create a company that is as diverse and inclusive as the world we live in by attracting, growing &amp; keeping the best talent. Equal employment opportunities are available to all applicants without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
 
 
 If this sounds like a role you'd enjoy, apply here, and you'll hear from our recruiting team.
 
 
 Note: The first stage of the recruitment process for this role is to complete a 15-minute online aptitude test as well as an employee personality profile assessment, which will be sent out to your application email. Successful candidates will be contacted to discuss the next steps.
</div>

Software Engineer

WAFER

<div><h2 class="jobSectionHeader">About the role</h2>
Join our team as an intern to build the future of inference, GPU optimization and AI infrastructure. You'll work directly as a full-time engineer with the team to help define our technical direction and build the core systems that power our GPU optimization platform.<h2 class="jobSectionHeader">
What You'll Do</h2><ul><li>
Build scalable infrastructure for AI model training and inference</li><li>
Lead technical decisions and architecture choices</li></ul><h2 class="jobSectionHeader">
What We Look For</h2><h3 class="jobSectionHeader">
Core Technical Expertise</h3><ul><li>
GPU Fundamentals: Deep understanding of GPU architectures, CUDA programming, and parallel computing patterns.</li><li>
Deep Learning Frameworks: Proficiency in PyTorch, TensorFlow, or JAX, particularly for GPU-accelerated workloads.</li><li>
LLM/AI Knowledge: Strong grounding in large language models (training, fine-tuning, prompting, evaluation).</li><li>
Systems Engineering: Proficiency in C++, Python, and possibly Rust/Go for building tooling around CUDA.</li></ul><h3 class="jobSectionHeader">
Ideal Background</h3><ul><li>
Publications or open-source contributions in inference GPU computing or ML/AI for code are a plus.</li><li>
Hands-on experience with large-scale experiments, benchmarking, and performance tuning.</li></ul></div>

Member of Technical Staff (Spring Internship)

Member of Technical Staff (Winter Internship)

Explore 79+ Machine learning engineer in San Francisco this October. Find roles across top companies and apply now to boost your career.