cyber full-stack technical software engineer

security engineer

backend engineer, api Jobs in San Francisco

backend engineer, api

backend software engineer Jobs in San Francisco

backend software engineer

cyber full-stack technical software engineer Jobs in San Francisco

data engineer

software engineer

Heliux

<div>
 
 About Heliux
 
 
 
 Heliux is a software platform that unifies and accelerates enterprise-wide operations for manufacturers. Our centralized operating system models cross-functional teams, workflows, and data into a single system of execution.
 
 
 Powering organizations across engineering, planning, supply chain, production, quality, accounting, and more, Heliux enables manufacturers to intelligently optimize end-to-end operational and financial performance.
 
 
 Headquartered in San Francisco, CA, Heliux is on a mission to drive unprecedented velocity in manufacturing. We&rsquo;re proudly backed by New Stack Ventures, Marlinspike, Humba Ventures, Amplify.LA, Crosscut Ventures, and Lux Capital.
 
 
 
 About The Role
 
 
 
 Engineers at Heliux are directly responsible for end-to-end design, development, and delivery of our core software platform:
 
 
 <ul>
 <li>
 Acquire expertise in hardware engineering and manufacturing through immersive, hands-on problem-solving with our customers.
 </li>
 <li>
 Rapidly design, build, test, deliver, and maintain complex software systems that are performant, reliable, and scalable.
 </li>
 <li>
 Contribute to the high-level technical direction of both the organization and the platform to ensure we are always accelerating the velocity of our work.
 </li>
 <li>
 Relentlessly solve any and all technical problems that stand in the way of company objectives&mdash;and therefore, our success.
 
 
 </li>
 </ul>
 
 About You
 
 
 
 <ul>
 <li>
 Proven experience building complex, scalable software systems from zero-to-one&mdash;i.e., problem identification to production-grade solution.
 </li>
 <li>
 Demonstrated proficiency in programming languages such as Rust, Python, Java, TypeScript, or similar.
 </li>
 <li>
 Inherent desire to operate with extreme levels of urgency across all aspects of life and work.
 
 
 </li>
 </ul>
 
 About Our Stack
 
 
 
 <ul>
 <li>
 Frontend: React, TypeScript, NextJS, ThreeJS
 </li>
 <li>
 Backend: Rust, Python w/ FastAPI and Flask
 </li>
 <li>
 Database &amp; Infra: PostgreSQL, DynamoDB, Standard and Government AWS: RDS, S3, ECS, SQS
 </li>
 <li>
 Runtime: Electron, Docker
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Competitive compensation package, including company equity.
 </li>
 <li>
 Healthcare coverage across medical, dental, and vision.
 </li>
 <li>
 Unlimited PTO.
 </li>
 <li>
 Monthly company-sponsored lunches and/or outings.
 
 
 </li>
 </ul>
 All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, national origin, age, physical and mental disability, health status, marital and family status, sexual orientation, gender identity and expression, military and veteran status, and any other characteristic protected by applicable law.
 
 
 
 ITAR Requirements
 
 
 
 To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C.
 
 
 <ul>
 <li>
 1157, or (iv) Asylee under 8 U.S.C.
 </li>
 <li>
 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.
 </li>
 </ul>
</div>

Software Engineer

Lumafield

<div>
 
 
 About Lumafield:&nbsp;
 
 
 
 
 
 
 Lumafield was founded in 2019 to upgrade manufacturing.
 
 
 
 
 
 We are engineers with deep experience across the product development cycle, from initial ideas to shipping hardware, across industries and specializations, who became frustrated by the cost and complexity of modern manufacturing. So we decided to upgrade it.
 
 
 
 
 
 Engineers make million-dollar decisions every day, and they need tools that give them the greatest possible insight into their products. By offering unprecedented visibility into products, as well as AI-driven tools that highlight problems and generate quantitative data, Lumafield promises to revolutionize the way complex products are created, manufactured, and used across industries. We started with industrial CT scanning, which for us was the most valuable but underutilized tool in the manufacturing toolbox, enabling us to rapidly inspect essential components non-destructively.
 
 
 
 
 
 We rebuilt the whole system, from X-ray capture, to computer vision analysis, to web-based collaboration, to the entire business model, making the most advanced manufacturing tech more accessible to every industry. Our company, like our platform, is designed for upgrades. We&rsquo;re building for greater intelligence, autonomy, and speed. For deeper vision, operational excellence, and powerful insights. And then we'll upgrade it all again.
 
 
 
 
 
 Lumafield is headquartered in Cambridge, MA, and has an office in San Francisco, CA.
 
 
 
 
 
 
 About the role:&nbsp;
 
 
 
 
 &nbsp;
 
 
 
 On Lumafield&rsquo;s Backend team, you work on the core of our cloud platform from REST APIs through to massively parallelized data processing pipelines operating on our X-Ray and CT image data. We leverage Python in order to move quickly but ensure that we&rsquo;re getting the most out of the language through usage of powerful frameworks and parallelism concepts. Our backend team also owns their code all the way through deployment; you&rsquo;ll work to build your code into Docker containers and deploy them to our different environments including cloud Kubernetes clusters and on-premises servers.
 
 
 
 &nbsp;
 
 
 
 
 
 
 What you'll do:
 
 <ul>
 
 <li>
 
 
 Use Python, Django and Django Rest Framework (DRF) to implement cloud backend APIs
 
 
 </li>
 
 <li>
 
 
 Use Python, Django, and Celery to implement highly parallelized large dataset processing tasks ranging up to 100s of GBs of data
 
 
 </li>
 
 <li>
 
 
 Design for and deploy your code to our AWS environment leveraging EKS, S3, CloudFront, and other AWS technologies
 
 
 </li>
 
 <li>
 
 
 Work closely with our research and algorithms team to incorporate cutting edge algorithms into our production codebases
 
 
 </li>
 
 <li>
 
 
 Collaborate closely with product managers and engineering leadership to align technical objectives with business deliverables.
 
 
 </li>
 
 <li>
 
 
 Get your hands dirty and build - expect to be hands-on and building regularly
 
 
 </li>
 
 
 </ul>
 
 
 
 
 About you:
 
 <ul>
 
 <li>
 
 
 Bachelor's Degree in Engineering or related field
 
 
 </li>
 
 <li>
 
 
 2+ years of experience with Python in a production backend setting using major web frameworks (Flask, Django, FastAPI, etc.)
 
 
 </li>
 
 <li>
 
 
 Experience with large dataset processing using numpy
 
 
 </li>
 
 <li>
 
 
 Strong software engineering fundamentals including git, unit testing, pull request reviews, module/interface design, and applications using parallelism and concurrency.
 
 
 </li>
 
 <li>
 
 
 Strong team collaboration, communication and interpersonal skills
 
 
 </li>
 
 <li>
 
 
 Experience with Linux server administration, network troubleshooting, docker deployments, productionizing systems
 
 
 </li>
 
 
 </ul>
 
 
 
 
 Bonus points for:
 
 <ul>
 
 <li>
 
 
 Experience with Agile Development practices
 
 
 </li>
 
 <li>
 
 
 Experience with AWS including EKS, S3, CloudFront, or similar
 
 
 </li>
 
 <li>
 
 
 Experience with image processing pipelines and/or image acquisition
 
 
 </li>
 
 <li>
 
 
 Experience in configuring Linux systems, applying best practices, and automating workflows with Ansible and scripting.
 
 
 </li>
 
 
 </ul>
 
 
 
 
 
 
 
 We are unable to sponsor or take over sponsorship of employment visas at this time. All applicants must be legally authorized to work in the United States without current or future sponsorship.
 
 
 
 
 
 
 Lumafield offers both competitive cash and equity compensation, as well as a health &amp; wellness stipend, 401k, parental leave, flexible PTO, commuter benefits, company wide events and more!&nbsp;
 
 
 
 
 
 Lumafield is committed to building a team that represents a variety of backgrounds, perspectives, and skills, because the more inclusive we are, the better our work will be. Do you feel like your skills don&rsquo;t meet every single requirement listed? We encourage you to apply anyway &ndash; If you&rsquo;re excited about our technology, the opportunity, and are eager to learn more we&rsquo;d love to hear from you!&nbsp;&nbsp;
 
 
 
 
 
 In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability, genetic information or veteran status.&nbsp;
 
 
 
 
 
 Reach out if you want to be a part of what we are building.
 
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
 
 
 
 The base salary range listed here represents the anticipated low and high end of the salary range for this position. Actual salaries may vary and may be above or below the range based on various factors including but not limited to work location, experience, and performance. All full time employees receive an equity grant.
</div>

Backend Software Engineer

Chime

<div>
 
 About The Role
 
 
 
 MyPay is Chime&rsquo;s Earned Wage Access (EWA) product and one of the company&rsquo;s fastest-growing, revenue-driving products, used by millions of members to access their earnings when they need it.
 
 
 We power complex, real-time money movement at scale - including underwriting, eligibility decisions, ledgering, and seamless financial transactions.
 
 
 In this role, you will design and build backend services where correctness, resiliency, and performance are critical. You will collaborate closely with Product, Design, Data Science, Risk, Analytics, and others to drive rapid experiments, make data-driven decisions and scale high-impact solutions.
 
 
 The base salary offered for this role and level of experience will begin at $133,000 and up to $184,000. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.
 
 
 
 In this role, you can expect to
 
 
 
 <ul>
 <li>
 Independently own and deliver features end-to-end
 </li>
 <li>
 Design, develop, test, refactor and scale backend implementations of new and existing consumer product features
 </li>
 <li>
 Work with the mobile team to design and build strong, resilient APIs that power the member facing mobile app
 </li>
 <li>
 Collaborate with cross functional teams to understand member pain points and come up with solutions
 </li>
 <li>
 Proactively identify opportunities for improving the reliability and scalability of our systems
 </li>
 <li>
 Work across the engineering team to improve and uphold high technical standards
 </li>
 <li>
 Grow into owning larger components of the system over time
 
 
 </li>
 </ul>
 
 To thrive in this role, you have
 
 
 
 <ul>
 <li>
 3+ years developing software in a production environment at scale
 </li>
 <li>
 Experience designing APIs, working with transactional databases and caching systems
 </li>
 <li>
 Exposure to architectural patterns of large, high-scale web applications
 </li>
 <li>
 An appreciation of maintainable and well-tested code
 </li>
 <li>
 Enjoyment in learning and diving into the deepest levels of how things work
 </li>
 <li>
 Collaborative spirit and strong communication skills, with experience working cross-functionally
 </li>
 <li>
 Product mindset with a strong bias toward experimentation, iteration, and measuring impact
 </li>
 <li>
 Start-up experience as an added plus
 
 
 </li>
 </ul>
 
 A Little About Us
 
 
 
 At Chime, we believe that everyone can achieve financial progress. We created Chime&mdash;a financial technology company, not a bank*&mdash;on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential.
 
 
 We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members.
 
 
 We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress.
 
 
 We know that to achieve our mission, we must earn and keep people's trust&mdash;so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall&mdash;our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential.
 
 
 Because if we don't&mdash;who will?
 
 
 <ul>
 <li>
 Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC.
 
 
 </li>
 </ul>
 
 What We Offer For Our Full-time, Regular Employees
 
 
 
 <ul>
 <li>
 🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. Whether you&rsquo;re coming in regularly or are part of our fully remote program, you&rsquo;ll stay engaged with your work and teammates.
 </li>
 <li>
 💻 In-office perks including backup child, elder, and/or pet care, plus a subsidized commuter benefit to support your regular commute
 </li>
 <li>
 💰 Competitive salary based on experience
 </li>
 <li>
 ✨ 401k match plus great medical, dental, vision, life, and disability benefits
 </li>
 <li>
 🏝 Generous vacation policy and company-wide Chime Days, bonus company-wide paid days off
 </li>
 <li>
 🫂 1% of your time off to support local community organizations of your choice
 </li>
 <li>
 👟 Annual wellness stipend to use towards eligible wellness related expenses
 </li>
 <li>
 👶 Up to 24 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents
 </li>
 <li>
 👪 Access to Maven, a family planning tool, with $15k lifetime reimbursement for egg freezing, fertility treatments, adoption, and more.
 </li>
 <li>
 🎉 In-person and virtual events to connect with your fellow Chimers&mdash;think cooking classes, guided meditations, music festivals, mixology classes, paint nights, etc., and delicious snack boxes, too!
 </li>
 <li>
 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress
 
 
 </li>
 </ul>
 We know that great work can&rsquo;t be done without a diverse team and inclusive environment. That&rsquo;s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals.
 
 
 Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: benefits@chime.com.
 
 
 To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice.
</div>

Software Engineer, MyPay

David Joseph & Company

<div>San Francisco, CA &middot; On-site &middot; Full-time 
Compensation: $180,000&ndash;$220,000 + competitive equity<h2 class="jobSectionHeader">
About the Company</h2>
An early-stage (post&ndash;Series A) company building the training data and evaluation infrastructure that frontier AI labs use to improve their models &mdash; designing high-signal datasets and running rigorous evaluations that go beyond static benchmarks. A small team where individual contributors have direct impact on how the next generation of models learns. The company has raised $30M (~$300M valuation), with a founding team drawn from Jane Street, Citadel, Google, Goldman, and Stanford AI Lab.
Founded 2025 &middot; 11&ndash;50 people &middot; Industry: Consumer Tech<h2 class="jobSectionHeader">
The Role</h2>
As a SWE (Environments), you'll design the datasets and evaluation rubrics that directly influence how frontier models learn &mdash; going from hypothesis to live experiment quickly, with output feeding directly into model training runs at scale.
What you'll be doing<ul><li>
Design data slices and explore data shapes that expose meaningful model failure modes across domains like finance, code, and enterprise workflows</li><li>
Build and refine evaluation rubrics and reward signals for RLHF and RLVR training pipelines</li><li>
Model annotator behavior and run experiments to improve different model capabilities</li><li>
Develop quantitative frameworks for measuring dataset quality, diversity, and downstream impact on model alignment and capability</li><li>
Create and manage both real-world and synthetic data pipelines</li><li>
Partner with lab research teams to translate their training objectives into concrete data and evaluation specifications</li></ul>
Tech stack: Not specified<h2 class="jobSectionHeader">
Requirements</h2><ul><li>
1&ndash;4 years of software engineering experience with strong technical depth</li><li>
Design targeted data slices that surface model failure modes across high-stakes domains (finance, code generation, enterprise workflows)</li><li>
Build and iterate on evaluation rubrics and reward signals powering RLHF and RLVR training pipelines</li><li>
Develop quantitative frameworks to measure dataset quality, diversity, and downstream impact on model alignment and capability</li><li>
Own end-to-end real world and synthetic data pipelines, from scoping with research teams to production-ready evaluation specs</li><li>
Run annotator modeling experiments to improve model capabilities across task types</li></ul><h2 class="jobSectionHeader">
Green Flags</h2><ul><li>
Experience at RL environment companies</li><li>
Background in AI safety or benchmarking organizations like METR or Artificial Analysis</li><li>
Genuine obsession with how data structure, selection, and quality drive model behavior</li><li>
Ability to design lightweight experiments and move fast</li><li>
Former founders or early engineers at early stage startups</li><li>
Demonstrated ability to work hard, learn fast, and care deeply about details</li></ul><h2 class="jobSectionHeader">
Red Flags</h2><ul><li>
Pure research profile with limited engineering output, this is a SWE role, shipping matters</li><li>
Looking for standard product engineering work &mdash; the real scope is data pipelines, reward modeling, and eval infra</li></ul><h2 class="jobSectionHeader">
Why Join</h2><ul><li>
Outsized total cash: base plus substantial profit share, plus competitive equity</li><li>
Direct impact on frontier AI model development, working with the world's leading AI labs</li><li>
High ownership on a small, early team &mdash; scope, build, and ship end to end</li></ul><h2 class="jobSectionHeader">
Details</h2><ul><li>
Location: San Francisco, CA</li><li>
Work policy: On-site</li><li>
Compensation: $180,000&ndash;$220,000 + equity</li><li>
Visa sponsorship: O-1, OPT</li><li>
Employment type: Full-time</li></ul></div>

Software Engineer, RL Environments

Anthropic

<div><div><h2 class="jobSectionHeader">About Anthropic</h2>

Anthropic&rsquo;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</div><div><h2 class="jobSectionHeader">
About the role</h2>

The Fraud Prevention team protects Anthropic's payment and monetization surfaces from financial abuse &mdash; keeping fraud losses, dispute rates, and network monitoring exposure in check while preserving a smooth experience for legitimate customers. As a software engineer on this team, you will build the systems that make risk decisions in real time, manage the dispute and chargeback lifecycle, and detect monetization abuse across subscriptions, in-app purchases, and promotions. The ideal candidate can see things from attackers' perspectives, anticipate their responses to countermeasures, and never loses sight of the fact that a false positive here is a paying customer.

Payments fraud is more externally coupled than most trust and safety work &mdash; you'll collaborate closely with finance, support, and legal teams internally, and with payment processors and platform partners externally.
<h2 class="jobSectionHeader">
Responsibilities:</h2>
<ul><li>Design and build real-time risk decisioning that scores transactions at authorization time, balancing fraud loss, approval rates, and latency constraints</li>
<li>Build tooling and automation for the dispute and chargeback lifecycle, from review queues to evidence collection and loss reporting</li>
<li>Engineer fraud signals at scale &mdash; device fingerprinting, BIN and issuer signals, velocity features, and cross-account linkage &mdash; and detect monetization abuse across subscriptions, trials, promotions, and in-app purchases</li>
<li>Own a portfolio of metrics &mdash; loss rate, dispute rate, authorization approval impact, and false-positive rate &mdash; rather than optimizing any single number</li>
<li>Lead investigations into emerging fraud patterns, building multi-layered defenses designed for attacker adaptation rather than point-in-time rules</li>
<li>Work cross-functionally with finance, support, legal, and data science, and with external payment processors and platform partners</li>
</ul><h2 class="jobSectionHeader">Minimum Qualifications:</h2>
<ul><li>Proficiency in Python, SQL, and data analysis tools</li>
<li>Experience building or operating fraud, risk, or abuse detection systems in production</li>
<li>Strong communication skills and ability to explain complex technical tradeoffs to non-technical stakeholders</li>
</ul><h2 class="jobSectionHeader">Preferred Qualifications:</h2>
<ul><li>8+ years of industry software engineering experience, with a focus on payments fraud or risk</li>
<li>Fluency with payments rails: card networks, payment service providers (e.g., Stripe, Adyen), in-app purchase platforms (Apple, Google), refund flows, and the chargeback and dispute lifecycle</li>
<li>Direct experience combating fraud typologies such as card testing, stolen-card monetization, refund and chargeback abuse, subscription and trial abuse, promotional abuse, and friendly fraud</li>
<li>Understanding of fraud loss accounting &mdash; fraud loss vs. dispute fees vs. card network monitoring programs (e.g., VDMP, i VFMP, Mastercard ECP) &mdash; and why chargeback rate thresholds carry existential stakes</li>
<li>Experience building hybrid rules-and-ML risk systems: real-time scoring at authorization plus post-authorization review workflows</li>
<li>Experience at a marketplace or subscription business, or on a processor-side or issuer-side risk team</li>
</ul></div><div><div><div><div>
The annual compensation range for this role is listed below.

For sales roles, the range provided is the role&rsquo;s On Target Earnings (&quot;OTE&quot;) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</div></div>
Annual Salary:
$320,000 - $485,000 USD</div></div><div><h2 class="jobSectionHeader">
Logistics</h2>

Minimum education: Bachelor&rsquo;s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. 
 
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links&mdash;visit anthropic.com/careers directly for confirmed position openings.
<h2 class="jobSectionHeader">
How we're different</h2>

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact &mdash; advancing our long-term goals of steerable, trustworthy AI &mdash; rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
<h2 class="jobSectionHeader">
Come work with us!</h2>

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.</div></div>

Staff+ Software Engineer, Financial Fraud

Genius AI

<div>
 
 
 About Genius AI
 
 
 
 Genius AI is building technology to help local businesses run themselves. Genius AI products do the admin work that keeps practitioners from the work they love and the people they serve. From GlossGenius to Reception, its products work 24/7 on busywork like booking, marketing, client management, finances, staff and inventory management, and more.
 
 
 Genius AI technology has saved businesses 106M in admin hours, earned them $2.0B in additional revenue, and facilitated more than 624M client touch points.
 
 
 
 About the Role
 
 
 
 Genius AI is building an agentic workforce: AI systems that act on behalf of appointment-based business owners, not just assist them. The engineers who join now will be the ones who architect it. We're hiring across two paths: product engineers who work at the intersection of AI capabilities and customer problems, shipping the features that put agentic tools directly in front of the businesses we serve; and platform engineers who build the scalable, reliable infrastructure that makes those AI products possible in the first place. Whichever path you're on, the expectation is the same: you build with AI as the default layer underneath how you work, not a tool you reach for occasionally.
 
 
 You must be commutable to our SF office and will operate in a hybrid environment. We default to being in-office 3&ndash;4 days per week with required attendance on Tuesdays and Thursdays.
 
 
 
 What We Work With
 
 
 
 We're open to engineers with different language backgrounds who are excited to grow. Our current stack:
 
 <ul>
 <li>
 Kotlin (Micronaut, jOOQ), gRPC, protobuf
 </li>
 <li>
 TypeScript / JavaScript (React, Redux)
 </li>
 <li>
 React Native
 </li>
 <li>
 AWS, Kubernetes, Postgres, Terraform
 </li>
 <li>
 Linear
 </li>
 </ul>
 
 
 What You'll Do
 
 
 <ul>
 <li>
 Architect and ship AI-powered features that change how service businesses operate: not wrappers around existing tools, but net-new capabilities that weren't possible before
 </li>
 <li>
 Build and maintain large-scale systems that process billions in payments and serve 120,000+ businesses, with reliability and performance as non-negotiables
 </li>
 <li>
 Use AI to architect, debug, write, and review code, and hold a higher bar for your own output because of it
 </li>
 <li>
 Own your work end to end: from technical design through production, with full accountability for what you ship and how it performs
 </li>
 <li>
 Build the platform infrastructure that lets product teams move faster: scalable, extensible systems that remove friction rather than create it
 </li>
 <li>
 Challenge how we build: when you see a faster path or a better architecture, you're expected to make the case and drive it
 </li>
 </ul>
 
 
 What We're Looking For
 
 
 <ul>
 <li>
 2+ years of professional software engineering experience, with demonstrated ownership of production systems, not just contributions to a team that owned them
 </li>
 <li>
 You use AI to architect, debug, write, and review code, and you've shipped AI-powered features or systems, not just used AI-assisted editors
 </li>
 <li>
 Move fast and make decisions: you don't wait for a fully scoped ticket to start thinking, you'd rather ship something real and iterate than spend weeks perfecting a plan
 </li>
 <li>
 Strong analytical instincts for efficiency, scalability, and system reliability, you think about what breaks at scale before it breaks in production
 </li>
 <li>
 Entrepreneurial ownership mindset, you treat the problems you're assigned as yours to solve, not tasks to complete
 </li>
 <li>
 Collaborative by default, you make the engineers around you better, not just the code you personally write
 </li>
 </ul>
 
 
 Benefits &amp; Perks
 
 
 <ul>
 <li>
 Competitive health &amp; dental insurance options, effective on your first day of employment
 </li>
 <li>
 Flexible PTO
 </li>
 <li>
 In-office lunch twice per week for NYC and SF employees, plus late night dinner stipends
 </li>
 <li>
 Access to Wellhub, a corporate wellness platform with discounted gym memberships, fitness classes, and mental health resources
 </li>
 <li>
 Annual stipend for professional development and continued learning
 </li>
 <li>
 High performers at 5 years receive a generous stipend to use however you recharge best
 </li>
 <li>
 401k benefit: employees are eligible to contribute starting day 1 of employment
 </li>
 <li>
 Dependent Care FSA
 </li>
 <li>
 Paid parental leave
 </li>
 <li>
 Fertility and adoption benefits via Carrot and Kindbody
 </li>
 </ul>
 
 
 The starting base salary for this role in San Francisco is between $150,000-$230,000+ target equity + benefits. The base salary offered is dependent upon many factors including skills, experience, location, and education. The base pay range is subject to change and may be modified in the future. Additionally, this role is currently eligible to participate in Genius AI's equity plan as well as a range of health &amp; wellbeing, retirement savings, and other benefits within our total rewards offering.
 
 
 
 
 At Genius AI, we celebrate our differences and are committed to creating a workplace where all employees feel supported and empowered to do their best work. We believe this benefits not only our employees but our product, customers, and community as well. Genius AI is proud to be an Equal Opportunity and Affirmative Action Employer.
 
 
</div>

Software Engineer - All Levels

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Amazon Interactive Video Service (Amazon IVS) is AWS's fully managed live streaming service, built on the same battle-tested technology that powers Twitch and trusted by thousands of enterprises across gaming, social, live commerce, sports, and entertainment. 
 
Our mission: enable developers to build communities around live video. We handle everything from ingest to processing to delivery at global scale, so developers can focus on creating interactive, engaging live experiences for their audiences. Whether you're streaming to tens of millions of concurrent viewers or just getting started, Amazon IVS removes the complexity so developers can move fast. 
 
As a Software Dev Engineer on the IVS's Data team, you will be responsible for empowering internal teams and IVS customers with the data they need to make key operational and business decisions. We operate petabyte-scale data infrastructure for collecting, processing, and warehousing IVS data. We support streaming and batch pipelines to facilitate analytics, reporting, and ML workloads. We offer analytics tools and data products designed to make it easy and fast for our customers to extract the insights they need from their data. 
 
Key job responsibilities 
<ul><li>Design, implement, and maintain scalable data infrastructure in native AWS</li><li>Build and optimize data pipelines (batch and streaming) to support analytics, reporting, and ML workloads</li><li>Ensure data quality, reliability, and observability through monitoring, logging, and automated alerting</li><li>Work closely with product and analytics teams to understand requirements and deliver high-performance solutions</li><li>Champion best practices for security, compliance, and governance in data infrastructure</li><li>Identify opportunities to optimize performance and cost of data platforms</li><li>Stay current with emerging tools, frameworks, and cloud services in the data infrastructure ecosystem</li></ul> 
A day in the life 
Your primary focus will be empowering customers to succeed with their data by ensuring they can: 
<ul><li>Gather and access data at scale &ndash; Enable seamless data collection and retrieval that grows with their needs</li><li>Extract meaningful insights &ndash; Provide the right tools and capabilities to uncover the answers they're seeking</li><li>Trust their data &ndash; Maintain confidence in the completeness, accuracy, and reliability of their information</li></ul>
Achieving these goals requires close collaboration and strong partnerships with Product and Data Science teams to deliver solutions that truly meet customer needs. 
 
About the team 
Amazon Interactive Video Service (Amazon IVS) is a managed live streaming solution from AWS that enables low-latency and real-time video experiences for millions of viewers worldwide. We power engaging live experiences for some of the largest customers in the live video space and continuously push the boundaries of what&rsquo;s possible with interactive video technology.</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>1+ years of software development engineer or related occupational experience</li><li>1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience</li><li>1+ years of Object Oriented Design experience</li><li>Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field</li><li>Experience programming with at least one software programming language</li></ul><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><li>Bachelor's degree in computer science or equivalent</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. 
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, San Francisco - 165,200.00 - 223,600.00 USD annually 
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually</div>

Software Dev Engineer II, Amazon Interactive Video Service (IVS)

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