platform engineer

software engineer

ai engineer

OpenAI

About the Team
 
The Enterprise Agents team is scaling OpenAI with OpenAI. We apply our latest models to real-world problems in order to assist with or automate work across the company—then share what we learn back to the broader product and research teams. We’ve built an ecosystem of automation products that’s applied everywhere from customer operations to workplace to engineering.
 
We love building products for folks sitting right next to us, and we take the time to add the little big touches that delight. Our goal is to prototype fast, then build for reliable long-term impact. We're constantly looking for the similarities and patterns in different types of work, and focus on building simple, generic patterns that we can apply across many domains.
 
About the Role
 
We’re looking for an engineer who’s passionate about blending production-ready platform architecture with new tech and new paradigms. You’ll push the boundaries of OpenAI’s newest technologies to enable interactions and automations that are not only functional, but delightful. We value proactive, customer-centric engineers who can get the foundational details right (data models, architecture, security) in service of enabling great products.
 
In this role, you will: 
Own the end-to-end development lifecycle for new platform capabilities and integrations with other systems
 
Collaborate closely with product engineers and internal customers to understand their problems and implement effective solutions
 
Work with the research team to share relevant feedback and iterate on applying their latest models
 
Your background might look something like: 
7+ years of professional engineering experience (excluding internships) in relevant roles at tech and product-driven companies
 
Former founder, or early engineer at a startup who has built a product from scratch is a plus
 
Proficiency with JavaScript, React, and other web technologies
 
Proficiency with a backend language (we use Python)
 
Some experience with relational databases like Postgres/MySQL
 
Interest in AI/ML (direct experience not required)
 
Proven ability to thrive in fast-growing, product-driven companies by effectively navigating loosely defined tasks and managing competing priorities or deadlines.
 
About OpenAI
 
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 
For additional information, please see
 
OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement
 
.
 
Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through
 
this form
 
. No response will be provided to inquiries unrelated to job posting compliance.
 
We are committed to providing reasonable accommodations to applicants with disabilities.
 
OpenAI Global Applicant Privacy Policy
 
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
 
Compensation
 
$325K – $405K + Offers Equity

Backend Software Engineer, Enterprise Agents

Notion

<div>
 
 About Us
 
 
 
 Notion helps you build beautiful tools for your life&rsquo;s work. In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email&mdash;with AI built in to find answers and automate work. Millions of users, from individuals to large organizations like Toyota, Figma, and OpenAI, love Notion for its flexibility and choose it because it helps them save time and money.
 
 
 In-person collaboration is essential to Notion's culture. We require all team members to work from our offices on Mondays and Thursdays, our designated Anchor Days. Certain teams or positions may require additional in-office workdays.
 
 
 
 About The Role
 
 
 
 We're looking for an AI Product Engineer to join the team responsible for Notion's database block&mdash; which powers views like tables, galleries, charts, forms, and more. As a strategic partner in shaping Notion's AI vision, you'll help define and build cutting-edge AI-powered features into this core product experience, leveraging LLMs, embeddings, and other AI technologies to make Notion's databases more intelligent and capable.
 
 
 
 What You&rsquo;ll Achieve
 
 
 
 <ul>
 <li>
 Work with the team to prototype and experiment with new AI features
 </li>
 <li>
 Productionize and launch new AI technology integrations into Notion&rsquo;s core product
 </li>
 <li>
 Collaborate with cross-functional teams to deliver product features on time
 </li>
 <li>
 Stay up-to-date with the latest AI technologies and trends
 
 
 </li>
 </ul>
 
 Skills You'll Need To Bring
 
 
 
 <ul>
 <li>
 Expertise building and prototyping: You have experience building AI products using LLMs, embeddings and other ML technologies. You understand how parts of a system fit together from UI to data model, are familiar with relational databases like Postgres or MySQL, and have experience building products from ground up.
 </li>
 <li>
 Shipping quality user interfaces: You partner closely with product and design to craft beautiful user experiences for large audiences, leveraging web technologies like HTML, CSS, JavaScript, and a modern UI framework like React.
 </li>
 <li>
 Problem-solving: You approach problems holistically, starting with a clear and accurate understanding of the context. You think critically about the implications of what you're building and how it will impact real people's lives. You can navigate ambiguity flawlessly, decompose complex problems into clean solutions, while also balancing the business impact of what you&rsquo;re building.
 </li>
 <li>
 Empathetic communication and collaboration: You communicate nuanced ideas clearly, whether you're explaining technical decisions in writing or brainstorming in real time. In disagreements, you engage thoughtfully with other perspectives and compromise when needed. You enjoy collaborating with both fellow engineers and cross-functional partners. You are a lifelong learner and invest in both your own growth and the growth, learning, and development of your teammates.
 </li>
 <li>
 Impact-orientation and user focus: You care about business impact and prioritize projects accordingly. You understand the balance between craft, speed, and the bottom line. You think critically about the implications of what you're building, and how it shapes real people's lives. You understand that reach comes with responsibility for our impact&mdash;good and bad. Work isn't a solo endeavor for you, and you enjoy collaborating cross-functionally to accomplish shared goals.
 
 
 </li>
 </ul>
 
 Nice To Haves
 
 
 
 <ul>
 <li>
 You're proficient with any part of our technology stack: React, TypeScript, Node.js, and Postgres.
 </li>
 <li>
 You have experience driving teams toward shared goals and can balance business priorities with individuals&rsquo; strengths, areas of interest, and career development goals.
 </li>
 <li>
 You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others&mdash;and understand why we're big fans of their work.
 </li>
 <li>
 You have interests outside of technology, such as in art, history, or social sciences.
 
 
 </li>
 </ul>
 We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you&rsquo;re excited about a role but your past experience doesn&rsquo;t align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you&rsquo;re a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you.
 
 
 Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
 
 
 Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role&rsquo;s scope and complexity, and the candidate&rsquo;s experience and expertise, and may vary from the range provided below. For roles based in San Francisco and New York, the estimated base salary range for this role is $190,000 - $285,000 per year.
 
 
 By clicking &ldquo;Submit Application&rdquo;, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion&rsquo;s Global Recruiting Privacy Policy.
 
 
</div>

Software Engineer, AI Product

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

Apple

<div>We are seeking an experienced machine learning engineer to help bring the next generation of core machine translation (MT) technology and large language model (LLM) technologies into the hands of users all over the globe. Our mission is to empower users to communicate seamlessly across language barriers and complete multilingual tasks with ease. Passionate about productizing Natural Language Processing, Language Modeling (LLMs) and Machine Translation? Join us to bring the most sophisticated Multilingual solution across the Apple ecosystem to our customers! 
 
Description 
 
We are responsible for a wide variety of language technologies related research and development activities. In this role we expect you to be the connection between applied ML / modeling research and software engineering. Depending on project needs and tasks, you will work on the full breath of machine learning engineering; all the way from model training, evaluation, through model conversion, to software integration and inference speed optimization! To succeed, you will be an experienced problem solver with a strong machine learning focus - equally enthusiastic about new ML modeling techniques as about software implementations and optimizations. As well as a passion for bringing state-of-the-art machine learning and AI improvements into production use. 
 
Minimum Qualifications 
<ul><li>
Demonstrated experience in helping delivering end-user facing ML driven products</li><li>
In-depth development experience with C/C++ or similar languages</li><li>
Knowledge and experience with machine learning techniques, including deep learning frameworks such as PyTorch, TensorFlow or Jax</li><li>
Passionate about creating extraordinary products built on machine learning and AI</li></ul> 

Preferred Qualifications 
<ul><li>
MS or PhD or equivalent experience with a machine learning (engineering) focus</li><li>
Scientific publication(s) in a relevant machine learning field</li><li>
Deployment and development of real-world, large-scale, user-facing MT or LLM systems.</li></ul> 

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 $181,100 and $318,400, 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&rsquo;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&rsquo;s Employee Stock Purchase Plan. You&rsquo;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. 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Submit Resume</div>

AI/ML - Machine Learning Research Engineer, Machine Translation

Giga

<div>
 
 Location:
 
 San Francisco (100% In-Office)
 
 
 
 Experience:
 
 2+ years
 
 
 
 Salary:
 
 $150K - $300K
 
 
 <ul>
 <li>
 Offers Equity
 
 
 </li>
 </ul>
 Giga builds AI agents trusted by the largest B2C companies in the world. Industry leaders like DoorDash trust Giga with their most complex support and operations workflows across voice, chat, and email.
 
 
 Engineers at Giga work on problems like
 
 
 <ul>
 <li>
 building agents with almost no hallucination rates
 </li>
 <li>
 a voice experience that's better than talking to humans
 </li>
 <li>
 creating self-learning agents that optimize metrics
 
 
 </li>
 </ul>
 
 Perks &amp; Benefits
 
 
 
 <ul>
 <li>
 Competitive total compensation
 </li>
 <li>
 Equinox membership
 </li>
 <li>
 Full health, dental, and vision coverage
 </li>
 <li>
 On-demand snacks, coffee, and DoorDash Credits
 </li>
 <li>
 Ubers covered home
 
 
 </li>
 </ul>
 
 Interview Process
 
 
 
 <ul>
 <li>
 Screening call w/ recruiting lead (20 min)
 </li>
 <li>
 Live coding round (1.5 hr)
 </li>
 <li>
 Technical Intro call w/ Hiring manager (15 min)
 </li>
 <li>
 In-office interview (full day)
 
 
 </li>
 </ul>
 Compensation Range: $150K - $300K
 
 
</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 (Summer Internship)

Explore 66+ Ai engineer in San Francisco this November. Find roles across top companies and apply now to boost your career.