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Lunar Energy

<div>Field Service Engineer - Mountain View, CA

As a Lunar Field Service Engineer, you will be essential in launching new products, conducting pilot programs with channel partners, and providing training &amp; remote support for the installation of Lunar Systems in the field. You will be part of a team that provides white-glove level service end-to-end. This highly mobile role requires ongoing travel to various locations in the Northern California region (with some travel to Southern / Central California and nationally), where you will actively assist the service and training team in providing front-line field support and coordination. Further, you will spend a portion of your time providing remote training and support to our channel partners using our desk-based support tooling systems. Your efforts will ensure a consistently high level of quality and client satisfaction.

This role requires collaboration across functional groups to develop a technical and industry leading training program. The program aims to ensure quality installations, troubleshoot issues in the field, perform advance service diagnosis, resolve technical issues, and model safe working practices. This role requires sound technical judgment and creative problem solving skills to support the field operations of our installation partners. Field Service Engineers are a critical part of the team ensuring the Lunar value proposition and expectations are delivered in the field. You will be able to work independently, but also as part of a team with highly developed collaboration and communication skills and a willingness to go above and beyond to serve our clients and customers. Ideal candidates are outgoing, enjoy interacting with people for training, and have a passion for solving problems. You must be flexible in your day to day tasks where change is consistent.

Lunar Energy was founded to transition homes to 100% clean energy&mdash;making our electricity greener, our air cleaner and our energy more safe, secure and reliable for all. We're a fast-growing, global company building the world's best clean energy products to electrify all homes and connect communities to form clean, resilient virtual power plants.

On a given day at Lunar, you'll likely&hellip;
<ul>
<li>Either be on the road traveling to a site(s) to perform training and / or supporting our channel partners, otherwise in the Lunar office.</li>
<li>There will also be ongoing regional travel throughout Northern &amp; Central California, with some travel to Southern California or Texas, etc. to serve installers and end customers.</li>
<li>Serve as a subject matter expert on the installation of all Lunar products.</li>
<li>Work closely with other Lunar internal teams and our installer partners to troubleshoot and resolve technical field issues in a timely manner, ensuring high quality installations and customer satisfaction.</li>
<li>Troubleshoot and perform root-cause analysis, both remotely and on-site.</li>
<li>Provide Lunar lab, remote, on-the-job, and continuing education training for Lunar channel partners and internal staff.</li>
<li>Perform quality audits of channel partner installations.</li>
<li>Complete Site Surveys as needed for various projects.</li>
<li>Interpret data and report on key metrics, providing insight and suggestions for improvement.</li>
<li>Help identify areas of most common installer errors or system issues, and propose training, design, software, and/or hardware that can mitigate these.</li>
<li>Take ownership of issues or questions and escalate problems to the appropriate people and follow up accordingly with the customer.</li>
<li>Maintain close relationships with partner teams, owning every interaction and following through to completion.</li>
<li>Use internal software to communicate with installation partners via phone, live-chat or email, ensuring correct categorization and definition of issues, and correct use of internal support systems.</li>
</ul>
Desired Skills:
<ul>
<li>Degree in engineering or applicable equivalent technical field experience.</li>
<li>5+ years of relevant industry experience and knowledge in the design and installation of residential solar, battery and/or EV charging products.</li>
<li>Must maintain a clean driving record with the ability to pass a driving background check.</li>
<li>Valid state or local Electrical Journeyman certification or license preferred</li>
<li>Knowledge of the NEC and applicable codes and standards.</li>
<li>Ability to interpret single line drawings, permit packages and technical specifications for PV (required), ESS (required) and EVSE (desired) systems.</li>
<li>Ability to read graphs with device telemetry and spot anomalies in large data sets.</li>
<li>Ability to troubleshoot complex electrical problems.</li>
<li>Understands interconnection activities, building &amp; safety department processes and basic construction principles.</li>
<li>Adheres to company safety policies and procedures including ability to identify and report safety hazards, and the ability to encourage others to work safely.</li>
<li>Excellent written, verbal communication and presentation skills</li>
<li>Proficiency in Microsoft Office and / or G-Suite with ability to create and use spreadsheets, word document and presentations</li>
<li>Ability to work within a high-performance, cross-functional organization with extremely tight timelines and aggressive goals.</li>
<li>Willingness to work non-routine work hours (including weekends and public holidays) when required.</li>
<li>Flexible towards traveling locally and nationally while focusing primarily on your local region (where the installers and sites are located).</li>
</ul>
Physical Demands:
<ul>
<li>Ability to transport materials and equipment to complete assigned job tasks (up to 50 lb frequently and up to 100 lb with assistance).</li>
<li>Ability to work on rooftops with various angles and surfaces which requires frequent bending, twisting, squatting, climbing, kneeling, crawling, turning, standing, and balance.</li>
<li>Ability to climb ladders.</li>
<li>Ability to work in outdoor weather conditions including but not limited to: excessive noise, extreme heat, extreme cold, wet environment, and humidity.</li>
<li>Ability to frequently utilize hand functions requiring fine motor skills, including but not limited to: fine manipulation, grasping, and pinching.</li>
<li>Ability to work within the safe range of equipment such as ladders, fall protection harnesses and other personal protective equipment.</li>
<li>Ability to work in the sun and possibly low light conditions.</li>
<li>Ability to distinguish colors such as red, black, yellow, white, green.</li>
<li>Ability to work in confined spaces such as attics, basements, and crawl spaces which requires kneeling and crouching.</li>
<li>Ability to hear verbal commands and warnings.</li>
</ul>
Benefits:

We're dedicated to creating a remarkable employee experience. At Lunar, competitive base pay is one part of our total compensation package. Lunar employees also have the opportunity to become Lunar shareholders by getting equity in a fast-growing company and participating in our employee stock program.

Additional benefits include:
<ul>
<li>Medical, dental, and vision insurance for employees and dependents</li>
<li>PTO and 10 paid holidays</li>
<li>Tax deferred 401(k) plan</li>
<li>Paid parental leave for all full time employees including 12 weeks paid parental leave for the birthing mother and 6 weeks paid parental leave for the non-birthing parent</li>
<li>Subsidized EV charging and pre-tax commuter benefits</li>
</ul>
Our DE&amp;I Philosophy: Lunar Energy is an equal opportunity employer. We are committed to attracting, developing and retaining diverse talent by supporting an inclusive workplace. Lunar recruits, hires, trains, promotes, compensates, and administers all personnel actions without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any other status protected by applicable law.

Our Compensation Philosophy: Our goal is to ensure that all Lunar Energy employees are fairly compensated. Please note that the salary range information that follows is a good faith estimate for this position provided pursuant to the Pay Transparency for Pay Equity Act for California applicants. The salary range estimate for this position depending on level of experience is $90,000-$130,000 USD.

The actual offer, reflecting the total compensation package &amp; benefits, will be at the company's sole discretion, and determined by factors including but not limited to years of experience, job level, geographic location, and other relevant business considerations. The company also reserves the right to amend or modify this job description, employee perks, and benefits at any time.</div>

Field Service Engineer

David Joseph & Company

<div><h2 class="jobSectionHeader">Founding Engineer &mdash; Confidential (AI Startup, YC/a16z-Backed)</h2>
Location: San Francisco, CA (Onsite, 5 days/week) 
Compensation: $180,000 &ndash; $225,000 base + 1.0% &ndash; 1.5% equity 
Visa Sponsorship: Available &mdash; visa transfers supported | Relocation support available 
Employment Type: Full-Time<h3 class="jobSectionHeader">
About the Company</h3>
A well-funded AI startup building a new paradigm for software creation &mdash; using AI agents to autonomously create and operate specialized software products at scale. Founded in 2026, the company has raised $5.5M from a16z and other top-tier investors and is building out its founding engineering team of 5&ndash;7 engineers. The founding team has previously scaled companies to $20M ARR.<h3 class="jobSectionHeader">
The Role</h3>
This is a founding engineering role for a generalist full-stack engineer who loves building from zero. You will ship micro apps weekly to real users, encode your processes into increasingly automated workflows, and run rapid experiments with the founding team. All engineers report directly to the founder and CEO.<h3 class="jobSectionHeader">
What You'll Own</h3><ul><li>
Build and ship micro apps every week with real users, encoding your processes into increasingly automated workflows</li><li>
Work in close collaboration with the founding team</li><li>
Run rapid experiments and decisively double down on what works while cutting what doesn't</li></ul>
Tech stack: Full-stack, AI &mdash; Python, JavaScript, Kotlin, Go (flexible on language)<h3 class="jobSectionHeader">
Requirements</h3><ul><li>
1&ndash;5 years of software engineering experience building AI-driven products</li><li>
Experience shipping products or features from ideation to real users with significant traction</li><li>
Proficiency in agentic development &mdash; designing and building orchestration pipelines across multiple agents, tools, and services</li><li>
Full-stack proficiency with a backend focus</li><li>
Active user of modern AI tooling (e.g. Claude Code, Cursor, or similar)</li><li>
At least one clear signal of excellence &mdash; hackathon wins, side projects with significant traction, impressive fellowships, YC founder background, etc.</li><li>
Bachelor's degree in Computer Science or a related technical field</li><li>
Must be based in or willing to relocate to San Francisco</li></ul><h3 class="jobSectionHeader">
Preferred</h3><ul><li>
Previous founder or early-stage startup experience &mdash; YC or a16z alum backgrounds a strong plus</li><li>
Degree from a top-tier university (Berkeley, Stanford, CMU, or equivalent)</li></ul><h3 class="jobSectionHeader">
This Role Is NOT For</h3><ul><li>
Pretraining or fine-tuning ML researchers &mdash; this is applied agentic engineering, not model training</li><li>
Pure Big Tech careers with no side project, startup, or scrappy chapter</li><li>
Candidates with a pattern of short tenures across multiple companies</li></ul><h3 class="jobSectionHeader">
Interview Process</h3><ul><li>
Application review</li><li>
Intro screen (45 min) &mdash; technical depth, past projects, judgment, and founder fit</li><li>
Pair coding session (60 min) &mdash; live coding, no AI tools; CS fundamentals and algorithmic reasoning</li><li>
Onsite (~4 hours) &mdash; agentic coding session, system design, and behavioral/founder-fit conversation</li><li>
Offer</li></ul><h3 class="jobSectionHeader">
Logistics</h3><ul><li>
Role is fully onsite in San Francisco (SoMa) &mdash; 5 days/week</li><li>
Relocation support available</li><li>
Visa sponsorship available</li></ul>
Shortlisted candidates will be contacted by David Joseph &amp; Co., the recruiting partner managing this search.</div>

Founding Engineer — Confidential

Tamarind Bio

<div><h1 class="jobSectionHeader">About Tamarind Bio</h1>
We enable any scientist to access AI-powered drug discovery. Thousands of scientists from large pharma companies, top biotechs, and academic institutions use Tamarind to design protein drugs, improve industrial enzymes, and create cutting edge molecules that weren&rsquo;t feasible until now.
New AI models are quickly eclipsing physics-based tools in computational drug discovery. Scientists often struggle to fine-tune, deploy, and scale these models, leaving breakthroughs on the table. Tamarind provides a simple interface to the vast array of tools being released daily.
Staff Software Engineer / Technical Lead
We're hiring a Staff Software Engineer to provide technical leadership across our engineering team as we continue to scale the platform behind Tamarind.
Today, our engineering team consists primarily of early and mid-career engineers. As the complexity of our systems and customer requirements continues to grow, we're looking for someone who can help guide technical decision-making, mentor engineers, and drive architectural discussions across the organization.
This is not an engineering management role.
We're looking for a hands-on technical leader who enjoys writing code, reviewing designs, solving difficult engineering problems, and helping other engineers grow. You'll work closely with the CTO to shape technical direction while remaining deeply involved in execution.
The role spans architecture, infrastructure, product development, code reviews, technical mentorship, and engineering best practices.
What You'll Do<ul><li>
Partner with the CTO on architecture, technical planning, and major engineering initiatives</li><li>
Provide technical guidance across a team of 7-8 engineers</li><li>
Lead design reviews and architectural discussions</li><li>
Help engineers navigate complex technical challenges</li><li>
Contribute directly to the codebase across infrastructure, backend services, APIs, and product development</li><li>
Review code and provide feedback on implementation approaches</li><li>
Identify opportunities to improve reliability, scalability, performance, and developer productivity</li><li>
Support technical decision-making across new products and platform capabilities</li><li>
Work closely with customers and internal stakeholders to understand requirements and translate them into practical solutions</li><li>
Help establish engineering standards as the team continues to grow</li></ul>
Week in the Life<ul><li>
Collaborate with the CTO on technical priorities and architectural decisions</li><li>
Review designs and provide guidance on implementation approaches</li><li>
Build and operate services across infrastructure, ML systems, APIs, and customer-facing applications</li><li>
Participate in code reviews and technical discussions</li><li>
Help unblock engineers working through difficult technical problems</li><li>
Work directly with customers to understand requirements and gather feedback</li><li>
Balance hands-on engineering work with technical leadership responsibilities</li></ul>
Ideal Qualifications<ul><li>
7+ years of software engineering experience</li><li>
Experience serving as a senior technical contributor, staff engineer, principal engineer, or technical lead</li><li>
Strong software architecture and distributed systems experience</li><li>
Experience building and operating production infrastructure and cloud services</li><li>
AWS experience (EC2, S3, DynamoDB, Docker, etc.)</li><li>
Ability to mentor engineers and provide technical guidance across multiple projects</li><li>
Strong communication skills and sound engineering judgment</li><li>
Comfort operating in an early-stage startup environment</li><li>
Willingness to work onsite in San Francisco</li></ul>
Technology
Our technology sits at the intersection of DevOps, MLOps, and Computational Biology. We support workloads ranging from large-scale ML inference and model deployment to workflow orchestration across research, infrastructure, and scientific computing environments.
The role requires someone who enjoys moving between architecture, implementation, operations, and mentorship while helping a growing engineering team tackle increasingly complex technical challenges.
Compensation Range: $150K - $250K</div>

Staff Software Engineer / Technical Lead

Apple

The Apple Services Engineering AI/ML organization is hiring a Machine Learning Engineer to join the Search team for Video catalog. 
 
Our team builds the core intelligence that powers search discovery experiences in the Apple TV App, Siri, and Spotlight cross platforms, helping users effortlessly find and enjoy the content they love. We are a collaborative, high-impact team that values innovation, craftsmanship, and end-to-end ownership from idea to launch. Our systems combine large-scale data, modern retrieval and ranking models, and a deep commitment to user privacy. 
 
Join us, you&rsquo;ll develop scalable systems and machine learning models that drive search relevance, personalization, and understanding of content at scale. Working closely with cross-functional partners in product and design, you&rsquo;ll translate cutting-edge research in advanced machine learning and generative AI into secure and delightful production features used by millions every day. 
 
Description 
 
As a Machine Learning Engineer on the Video Search team, within the Apple Services Engineering AI/ML organization, you will design and deploy large-scale ML systems that power search and discovery across Apple platforms. 
 
You&rsquo;ll apply machine learning, natural language understanding, and generative AI to model user intent and deliver relevant, personalized results. Your work will involve building and optimizing cutting edge data processing, ML models, retrieval pipelines, and ranking systems that operate at global scale and under strict privacy standards. 
 
This is a hands-on role where you will collaborate closely with cross-functional teams to bring advanced ML technologies into production-shaping how users discovery content they love in Apple TV app, cross Apple TV partners on Apple Platforms, also through Siri and Spotlight.&quot;,&quot;responsibilities&quot;:&quot;Solve complex research problems and implement solutions from concept to execution. 
 
Design and implement retrieval and ranking systems using semantics and user context. 
 
Build and deploy ML, NLP and LLM models to improve search relevance and personalization. 
 
Analyze data and model performance to identify opportunities for search quality enhancement. 
 
Develop automated tests for continuous integration and ensure successful production deployment. 
 
Conduct A/B tests to measure search improvements. 
 
Collaborate with cross-functional teams to innovate intelligent video catalog text search. 
 
Enhance search recall and ranking for global Apple devices across all platforms and languages. 
 
Utilize big data tech to evaluate content discovery features. 
 
Ensure systems meet Apple&rsquo;s privacy, efficiency, and user experience standards. 
 
Preferred Qualifications 
 
Experience with search or recommendation systems, and semantic retrieval or vector databases. 
 
Expertise in transformer architectures, embeddings, and retrieval or ranking models. 
 
Experience in applying or fine-tuning LLMs for understanding and generation tasks. Familiarity with prompt design, context management, RAG and Agentic architectures and solutions. 
 
Exposure to evaluation and safety frameworks for LLM-based systems. 
 
Knowledge of reinforcement learning and other modern post training practices for LLMs. 
 
Passion for developing intelligent, human-centered experiences to enhance content discovery. 
 
Minimum Qualifications 
 
Experience in machine learning, NLP, IR, or more recently Large Language Model ( LLMs). 
 
Strong programming skills in Python, Java and Go for building scalable ML systems. 
 
Hands-on expertise in ML libraries such as PyTorch, JAX, TensorFlow for model training and deployment. 
 
Ability to translate product goals into technical solutions, improving user experience. 
 
Strong communication, collaboration, and analytical problem-solving skills. 
 
In-depth knowledge of search and information retrieval fundamentals, including indexing and ranking. Experience with retrieval and ranking algorithms and building big data pipelines using Hadoop, Java, Scala, Spark and more. 
 
Industrial experience in search, classification, recommendation systems, or related fields. 
 
Familiarity with A/B testing and data-driven product development. 
 
Passionate about creating products loved by customers at Apple. 
 
Bachelor&rsquo;s degree or higher (or equivalent practical experience) in Computer Science, Machine Learning, Natural Language Processing, Artificial Intelligence, or a related field. 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Machine Learning Engineer, ASE Search Team

General Medicine

<div>About General Medicine
As a mobile engineer at General Medicine, you'll help build and scale a healthcare store that makes it delightfully simple to shop for any type of care. We provide upfront cash and insurance prices for virtual and in-person visits, prescriptions, labs, imaging, and more.
What we're looking for
We're looking for a mobile engineer to build our first native mobile app using React Native. This is a foundational hire &mdash; you'll be responsible for helping to stand up the mobile app from scratch, making key architectural decisions, and setting the patterns that the rest of the team builds on top of.
Our ideal candidate has shipped and maintained React Native apps in production, and deeply understands the boundaries between React Native and native iOS/Android. You should be comfortable dropping into Swift or Kotlin when needed &mdash; e.g. for HealthKit integrations, push notifications, or video calling SDKs &mdash; but spend most of your time in TypeScript and React. You should also be willing to work on our Next.js web frontend; we think of mobile and web as one surface area, not two separate teams.
Beyond mobile expertise, we're looking for someone who cares deeply about technical excellence but is also comfortable moving quickly. We are constantly navigating tradeoffs between engineering velocity and quality. Our ideal candidate is hungry, high-agency, and aspires to be a generalist. Our engineers frequently write product requirements documents, write SQL to understand how features are performing, and own QA &mdash; no task is beneath us or outside of the scope of the role if it helps us to deliver a great product. We're looking for someone who can operate in an environment of significant ambiguity, and who is comfortable working closely with design, operations, and clinical stakeholders.
We don't expect you to have a healthcare background (though it's great if you do!). However, you should be excited by the prospect of digging into the messy complexities of the American healthcare system (integrating with EHRs, revenue cycle management, etc).
Qualifications<ul><li>
3+ years of experience building mobile apps, with meaningful production experience in React Native</li><li>
Strong understanding of native iOS and/or Android development (Swift, Kotlin) &mdash; you don't need to be an expert in both, but you should be comfortable with either</li><li>
Experience with Expo, including build tooling, OTA updates, and native module configuration</li><li>
Proficiency with TypeScript and React</li><li>
Experience architecting shared code between mobile and web codebases (or a strong opinion on how to do it well)</li><li>
Familiarity with modern backend frameworks is a plus &mdash; we use Ruby on Rails and Postgres</li></ul>
Please note that this role is based in either our SF office (near Market and Spear St) or our Boston office (Central Square, Cambridge). We expect our team to work from the office a minimum of 3 days per week, and ideally 4 or 5.
Why join us
We're an experienced team that has built a company in this space before, our product has clear product-market fit, and we've raised money from top investors.
We have an ambitious and distinctive vision for what can be built in consumer healthcare. We believe LLMs and price transparency legislation have opened up several massive opportunities.
If you're an ambitious and entrepreneurial mobile engineer and this resonates, please apply.</div>

Mobile Engineer (SF)

Roblox

<div><div>Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences&ndash; all created by our global community of developers and creators.

At Roblox, we're building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We're on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.

A career at Roblox means you'll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.</div>
What You'll Do:

As a Senior Software Engineer on the Creator Business team, you will help drive a healthy and ever-growing creator economy at Roblox. Our mission is to help Creators efficiently operationalize their revenue so they can invest in and grow their business. The team works on complex areas such as monetization analytics, revenue reporting, payouts, and taxes, requiring penny-perfect accuracy and zero defects.

We are looking for someone who can work with product managers and data science on end-to-end requirements to develop and maintain a scalable, secure, and reliable platform for our creators to thrive. As we are responsible for a large portion of the company's revenue, you will drive projects with high impact and visibility.

You will:
<ul>
<li>Develop remarkable products and systems that will delight our users</li>
<li>Work with the product, data science, and design to help refine requirements</li>
<li>Contribute to or drive the overall end to end system design</li>
<li>Have the opportunity to push the boundaries of what's next for the company</li>
<li>Help recruit future talent for the team</li>
</ul>
You Have:
<ul>
<li>5+ years of experience developing consumer-facing products</li>
<li>Proficiency in building and scaling data pipelines</li>
<li>Experience with distributed systems, API design, and microservices architecture</li>
<li>Bachelor's degree in Computer Science, Computer Engineering, or a similar technical field</li>
</ul><div>
Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).

Roblox 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. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process.

For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.</div></div>

Senior Software Engineer - Creator Business

Workato

<div><div><h1 class="jobSectionHeader">About Workato</h1>

Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato&rsquo;s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com
<h1 class="jobSectionHeader">
Why join us?</h1>

Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.

But, we also believe in balancing productivity with self-care. That&rsquo;s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.

If this sounds right up your alley, please submit an application. We look forward to getting to know you!

Also, feel free to check out why:
<ul>
<li>Business Insider named us an &ldquo;enterprise startup to bet your career on&rdquo;
</li>
<li>Forbes&rsquo; Cloud 100 recognized us as one of the top 100 private cloud companies in the world
</li>
<li>Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
</li>
<li>Quartz ranked us the #1 best company for remote workers
</li>
</ul></div><div><h2 class="jobSectionHeader">Senior AI Engineer &ndash; Developer Products</h2>

Location: San Francisco, CA (Onsite/Hybrid)
<h3 class="jobSectionHeader">
About the Role</h3>

We are seeking an exceptional Senior Software Engineer to join our San Francisco team and build new developer products. In this role, you will design, build, and optimize AI-first experiences that empower developers to experiment, prototype, and integrate with our platform. You will collaborate closely with product, engineering, and developer relations teams to deliver robust, scalable, and intuitive services. This role requires a high technical bar, plus an emphasis on developer ergonomics, so we can deliver a delightful developer experience.
<h3 class="jobSectionHeader">
Responsibilities</h3>
<ul><li>Design, build, and enhance AI services and APIs powering our developer sandbox, leveraging LLMs and custom ML models.</li>
<li>Develop well-architected, testable, and efficient Python code to support rapid prototyping and experimentation.</li>
<li>Implement and improve validation, monitoring, and observability for ML services within the sandbox environment.</li>
<li>Drive the full development lifecycle: from ideation and architecture to deployment and continuous improvement.</li>
<li>Collaborate with cross-functional teams to design developer-centric solutions and intuitive user experiences.</li>
<li>Continuously evaluate and optimize existing implementations for performance, scalability, and developer usability.</li>
<li>Identify and resolve bottlenecks, bugs, and technical challenges in a fast-paced, iterative environment.</li>
<li>Conduct code reviews and mentor team members to uphold high engineering standards.</li>
</ul><h3 class="jobSectionHeader">Requirements</h3>
<h4 class="jobSectionHeader">Qualifications / Experience / Technical Skills</h4>
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, Information Systems, or equivalent industry experience.</li>
<li>5+ years of experience as an ML Engineer, Data Scientist, or similar role.</li>
<li>Strong Python programming skills and hands-on experience with NLP and LLM models.</li>
<li>Proven track record of deploying and maintaining ML services in production environments.</li>
<li>Solid understanding of network protocols, API design, and developer tooling.</li>
<li>Experience with relational and non-relational databases.</li>
<li>LLMops/MLops experience is a strong plus, especially in developer-facing products.</li>
<li>Experience building or supporting developer platforms, APIs, or sandbox environments is highly desirable.</li>
</ul><h4 class="jobSectionHeader">Soft Skills / Personal Characteristics</h4>
<ul><li>Collaborative team player with a passion for empowering developers and improving developer experience.</li>
<li>Adaptable, proactive, and creative&mdash;comfortable working in a dynamic, startup-like environment.</li>
<li>Strong problem-solving skills and a continuous improvement mindset.</li>
</ul>
Join us in San Francisco and help shape the future of developer innovation with AI-powered sandbox experiences! 
 
The salary range for this role is dependent on experience and ranges from $170,000 to $250,000. We also provide stock options to all employees and generous benefits.</div></div>

Senior AI Engineer – Developer Products

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