Key Responsibilities

• Product Legal Oversight: work with the product development team from conception to launch. Review and advise on product features, architecture, and data usage to ensure compliance with laws and regulations.
• Privacy Compliance: lead efforts to ensure compliance with global data protection and privacy laws, including CCPA and GDPR. Conduct privacy impact assessments.
• Contract Negotiation: draft, review, and negotiate a variety of contracts, including terms of service, customer license agreements, and data processing agreements.
• Security: collaborate with infosec team to support security policy compliance, incident response planning, and data breach notification procedures.
• Regulatory Landscape: take the lead on monitoring the rapidly evolving landscape of privacy, security, and IP frameworks and regulations for AI products.
  
  

Qualifications

• Juris Doctor (JD) degree from an accredited law school and active bar membership.
• A minimum of 8 years of experience practicing law, with a focus on technology, product, and privacy law.
• Expertise in privacy regulations and experience implementing privacy compliance programs.
• Strong understanding of AI and technology product development.
• Exceptional communication and problem-solving abilities.
• Proven ability to collaborate with cross-functional teams and navigate complex legal challenges.
• Prior experience at a technology startup or in-house legal department.
  
  

The pay range for this position in California is $225,000- $260,000yr; however, base pay offered may vary depending on job-related knowledge, skills, candidate location, and experience. We also offer competitive equity packages in the form of stock options and a comprehensive benefits plan

Position Summary

We are seeking our first hire on the People Ops team. As the people ops lead at Adept, you will have the unique opportunity to shape our people operations strategies and contribute to the growth and success of our company. The ideal candidate is intellectually curious, a strong communicator, and a collaborative problem-solver. They should have 5-10+ years of experience, preferably with a background in a senior or leadership role within a larger organization.

Responsibilities:

• Formulate people operations strategy: Create and execute the overall people ops strategy at Adept aligned with our values, culture, and goals. We are a flat and lean team who loves moving fast with great flexibility. We will build an effective people strategy - performance management, compliance tasks, employee retention, culture building - to help scale our team to retain our talents and cultivate our culture while maintaining the core organizational philosophy. You will lead, coach, and partner with your team to achieve this strategy. You will partner with our talent team that focuses on recruiting the best talent.
• Build and roll out new processes: We need to build many net new processes to support this rapidly growing team across on/offboarding, performance management, compenstation philosophies, etc. The success of this is to find a way to address our need in a thoughtful, efficient, and light-weight way and effectively bring our team along the process.
• Performance Management: Design and implement performance management programs and processes, including goal setting, performance evaluations, and feedback mechanisms. Support managers in developing their coaching and performance management skills.
• Compensation and Benefits: Collaborate with leadership to develop and administer competitive compensation and benefits programs.
• On/offboarding and other general support: Improve and execute our people ops support program by rolling out new processes, effectively communicating them, and handling the tickets that people request.

Qualifications:

• 5-10+ years of progressive experience in People Operations roles, preferably in a senior or leadership capacity, HR Business Partnership, Operations Management Consulting, or Business Opearations.
• Excellent communication and interpersonal skills with the ability to collaborate effectively across all levels of the organization.
• Strong knowledge of HR best practices, employment laws, and compliance requirements.
• Proven experience in on/offboarding, performance management, and employee relations.
• Demonstrated ability to think strategically and execute tactically by getting your hands dirty.
• Intellectual curiosity, adaptability, and ability to thrive in a fast-paced startup environment.
• Integrity coupled with analytical, strategic planning, and system thinking mindset.

The pay range for this position in California is $150,000 - $200,000; however, base pay offered may vary depending on job-related knowledge, skills, candidate location, and experience.

Design at Adept is a multidisciplinary group that uses prototyping and design to explore and define Adept’s products.

This requires us to define new interaction principles that leverage (and contribute to) generally intelligent foundation models – this is a greenfield area for interaction design.

Our focus is on people and how our products can positively impact them and the world around them.

We are looking for a creative, collaborative designer to join the team and help define our future products.

Please note: a portfolio of work is required to apply.

Key interests

• A passion for how people engage with technology
• An interest in building tools that improve human capability and creativity

Responsibilities

• Helping to define and maintain the core interaction model for our products
• Understanding user contexts and needs to create (and test) design solutions
• Building out and maintaining designs in Figma and other tools as required
• Working collaboratively to understand the research and engineering capabilities present in the company in order to utilise these in our products, as well as defining possible future requirements to these teams

Key qualifications

• A portfolio demonstrating interaction design work, especially featuring projects that explore novel UIs (particularly on mobile and desktop). A combination of self-directed and product/client work would be great.
• Demonstrated ability to explore, define and use interaction models to build an underlying structure for a larger product vision.
• Experience in shipping a real product to users, in collaboration with research and engineering teams.
• Comfort with engaging in broad exploration of an undefined space.
• Ability to work both quickly and scrappily, as well as creating polished and production-fidelity design materials.
• Ability to collaborate closely with other designers and product team members.
• Excitement in collaborating with research and engineering teams on exploring product ideas.
• An eye for polish and clear, striking visual design.
• Ability to present work in an engaging way that sparks excitement for further collaboration and execution across the company.
• Experience with participating in and using the outputs of user research.

Additional qualifications (don’t let this disqualify you though!)

• Experience in prototyping with language models is a plus.
• Ability to code in a front end JS framework (React, Vue, Svelte) a plus.

This role will report to Basil Safwat.

Position Summary:

We are hiring an Information Security Lead to help us build secure and compliant systems to accomplish our mission. You will work closely with people across the company to evaluate our systems, innovate on novel security problems, and improve our overall security and compliance posture. You will work on cutting edge AI research, with the Product teams that are building the amazing experiences around that research, and with the Go-To-Market team to get the results into the hands of millions of users around the world.

Responsibilities:

• Develop a deep understanding of Adept’s technology, customers, and workflows to ensure that our products meet a wide range of security and privacy profiles (F500, consumer, SME, etc)
• Assess security of existing systems, identify technological risk, propose remediation initiatives, and plan ahead for security at scale across our IT systems, HPC training cluster, and production infrastructure
• Evaluate security impacts of software designs and make recommendations on infrastructure improvements necessary to uphold a high security standard
• Partner with engineering and operations teams to improve internal and customer-facing security while setting up systems to ensure we can continue to ship changes quickly
• Leverage your experience and best practices to not only uphold but improve Adept’s engineering standards
• Interface with our Enterprise customer’s security teams to help them understand our product and how we keep their data safe

Qualifications:

• You are customer focused with hands-on software development experience around writing and shipping code to solve customer problems
• You have experience building and delivering scalable and secure cloud based systems with a high proficiency in modern cloud technologies
• You are a security generalist with deep experience and passion for securing complex systems at enterprise scale
• You have a demonstrated ability to collaborate with cross-functional teams (software engineering, operations, sales, marketing, IT, etc)
• You have knowledge of relevant security and compliance frameworks, standards and regulations (such as SOC2, cloud security, GDPR, ISO27001, etc.)
• You have the ability to communicate complex technical concepts clearly to non technical audiences
• You are highly organized and detail-oriented; you can handle multiple projects and dynamic priorities without missing a beat
• You have exceptional communication skills and can represent the company externally with customers and partners.
• You have experience leading teams

Bonus:

• You have experience growing and managing teams
• You have a B.S. degree in Computer Science or a related field
• You have worked on ML / AI projects in the past

The pay range for this position in California is $250,000- $300,000yr; however, base pay offered may vary depending on job-related knowledge, skills, candidate location, and experience.

Position Summary

Adept is moving fast on hard problems. We need our IT environment to be secure, productive, and reliable.

Responsibilities:

• Software and cloud management
  • Establish and maintain internal and external software, including setup, documentation, and user management
  • Work closely with users to minimize friction and maximize productivity
  • Oversee cost controls and best practices
• Security collaboration
  • Work closely with engineering and security to align IT environment with security goals
  • Promote a culture of security and data safety within the company
• IT vendor engagement
  • Manage IT providers, e.g., for hardware provisioning, to ensure excellent service to the Adept user base
  • Select and onboard new vendors as necessary
• Leadership
  • Take overall ownership of IT at Adept: define strategy, identify needs, and act with agency
  • Hire and lead an Adept IT team when one is established

Qualifications:

We value generalists who can engage with new problems and get things done at a startup. Our team members come from a variety of backgrounds. If you have some of these, you might be a good fit:

• 4+ years of experience in an IT role
• Expertise deploying and managing complex software tools, e.g., Okta, Office, Jira
• Experience supporting compliance and certification, e.g., SOC 2
• Successful track record at fast-growing startups
• Demonstrated end-to-end ownership and self-direction
• Comfort with moving fast and learning by doing
• Excellent communication and collaboration skills, both verbal and written
  

The pay range for this position in California is $150,000 - $190,000yr; however, base pay offered may vary depending on job-related knowledge, skills, candidate location, and experience. In addition to base salary, we also offer competitive equity and benefits packages.

Position Summary

Adept thrives at the intersection of research and product. As a research engineer, you will play a crucial role in developing and implementing AI models, algorithms, and systems that solve real-world challenges. You will collaborate closely with a multidisciplinary team of engineers and researchers to translate cutting-edge AI techniques into practical solutions that address specific user needs.

The ideal candidate is someone who has a strong understanding of computer systems, a good intuition for the scientific method, and comfort with operating under uncertainty.

Responsibilities:

• Handle the hard challenges that arise when translating novel research ideas into production
• Brainstorm unusual data sources and figure out how to get them
• Build, operate, and maintain large-scale data and training pipelines
• Design and run experiments to improve our understanding of data and model performance
• Work closely with our modeling teams to build and source the best datasets possible

Qualifications:

• Strong programming skills and a good understanding of computer systems more generally
• Excellent communication and collaboration skills, both verbal and written
• Bonus: experience building and managing large scale data pipelines
• Bonus: experience with deep learning and running machine learning experiments at scale

The pay range for this position in California is $175,000 - $350,000yr; however, base pay offered may vary depending on job-related knowledge, skills, candidate location, and experience. In addition to base salary, we also offer competitive equity and benefits packages.

Position Summary

Adept is building our own large-scale models to support our mission of creating useful general intelligence. In this role, you’ll work directly on our fundamental research challenges, advancing the state of the art in model and agent capabilities. The ideal candidate is someone who has produced and implemented machine learning research of substantial practical importance. This job involves designing and running large-scale experiments on complicated infrastructure, so strong experimental intuition and programming skills are also necessary.

Responsibilities:

• Work in a team setting to understand the behavior and limitations of our current models
• Develop, implement, and test ideas for significantly improving those models
• Drive the downstream implementation of these improvements all the way to deployment, with an eye toward user-perceptible performance improvements

Qualifications:

• Excellent quantitative intuition and problem solving skills
• Experience driving long-term, ambiguous research projects to completion - ideally with significant practical impact
• Excellent communication and collaboration skills, with the ability to work effectively with other researchers and the infrastructure and product teams

The pay range for this position in California is $175,000 - $350,000yr; however, base pay offered may vary depending on job-related knowledge, skills, candidate location, and experience. In addition to base salary, we also offer competitive equity and benefits packages.

Position Summary

Adept thrives at the intersection of research and product. In this role, you will rapidly build new capabilities of our product leveraging a combination of in-house and external tooling, and help safely deploy applications built on top of large models at scale. You’ll collaborate closely with the product engineering, design, and product teams to build practical solutions that address real user needs.

The ideal candidate is a full-stack software engineer who has built and launched applications on top of LLMs, worked with a variety of common tools for LLM-enabled software, and is familiar with research in prompt engineering techniques. You are familiar with or even have contributed to open-source libraries related to LLMs and love a 0 to 1 challenge.

Qualifications

We deeply value software engineers who can engage with new problems and get things done at a startup, and our team members come from a variety of backgrounds and experiences. If you have some of these, you might be a good fit:

• 6+ years of experience as a software engineer, preferably building apps and interfaces
• Proficiency with Python and JavaScript
• Experience with frontend frameworks like React and REST APIs
• Experience building applications on top of LLMs, with a familiarity of tradeoffs across performance, latency, and ease of deployment
• Experience with LLM-enabled software tooling including frameworks such as LangChain and LlamaIndex, retrieval mechanisms like vector databases, caching solutions such as Redis, and monitoring tools
• Familiarity with techniques to maintain secure deployments that are robust to prompt injection and have safe outputs
• Bonus: Experience building LLM-powered agents capable of using APIs

The pay range for this position in California is $175,000 - $350,000yr; however, base pay offered may vary depending on job-related knowledge, skills, candidate location, and experience.

Position Summary

Adept is training a new kind of large AI model. Training means feeding petabytes of data to petaflops of compute. If your background is in Data Infrastructure, you can build the systems that make this process fast, reliable, and efficient. Areas of focus on the Infrastructure team:

• Compute - building, managing, and optimizing large GPU clusters training SOTA models
• Research - working directly with researchers to accelerate workflows and improve model iteration speed
• Tooling - supporting the entire Adept engineering organization with platforms and expertise on everything from CI/CD to Kubernetes

We deeply value generalist software engineers who can engage with new problems and get things done at a startup. Our team members come from a variety of backgrounds and experiences. If you have some of these, you might be a good fit:

• 4+ years of experience as a software engineer
• Experience building and serving machine learning models
• Expertise building scalable web applications
• Experience at fast-growing companies or startups
• Demonstrated end-to-end ownership and self-direction
• Comfort with moving fast and learning by doing
• Excellent communication and collaboration skills, both verbal and written

The pay range for this position in California is $175,000 - $350,000yr; however, base pay offered may vary depending on job-related knowledge, skills, candidate location, and experience.

Position Summary

We’re growing rapidly and hiring software engineers to work across a broad and exciting range of challenges! Some problems we’re working on across Engineering right now include:

• Connecting neural networks to APIs, browsers, and applications
• Scaling up model inference and running predictions at scale
• Designing and implementing large-scale data pipelines to train cutting-edge models
• Improving our iteration speed by identifying and fixing bottlenecks in our tools
• Building reliable and secure systems to power our web-based applications
• Creating scalable product infrastructure so we can deliver amazing experiences quickly to people all around the world
• Inventing new UI/UX approaches for human computer interaction when LLMs are involved

We deeply value generalist software engineers who can engage with new problems and get things done at a startup, and our team members come from a variety of backgrounds and experiences. If you have some of these, you might be a good fit:

• 4+ years of experience as a software engineer
• Experience building and serving machine learning models
• Expertise building scalable web applications
• Experience at fast-growing companies or startups
• A high level of end-to-end ownership and self-direction
• The ability to move fast and learn by doing new things

The pay range for this position in California is $175,000 - $350,000yr; however, base pay offered may vary depending on job-related knowledge, skills, candidate location, and experience.

Position Summary

We’re growing rapidly and hiring software engineers to work across a broad and exciting range of challenges! Some problems we’re working on across Engineering right now include:

• Connecting neural networks to APIs, browsers, and applications
• Scaling up model inference and running predictions at scale
• Designing and implementing large-scale data pipelines to train cutting-edge models
• Improving our iteration speed by identifying and fixing bottlenecks in our tools
• Building reliable and secure systems to power our web-based applications
• Creating scalable product infrastructure so we can deliver amazing experiences quickly to people all around the world
• Inventing new UI/UX approaches for human computer interaction when LLMs are involved

We deeply value generalist software engineers who can engage with new problems and get things done at a startup, and our team members come from a variety of backgrounds and experiences. If you have some of these, you might be a good fit:

• 4+ years of experience as a software engineer
• Experience building and serving machine learning models
• Expertise building scalable web applications
• Experience at fast-growing companies or startups
• A high level of end-to-end ownership and self-direction
• The ability to move fast and learn by doing new things

The pay range for this position in California is $175,000 - $350,000yr; however, base pay offered may vary depending on job-related knowledge, skills, candidate location, and experience.

Position Summary

Adept is building a new type of large AI model. Our speed is limited by model iteration time. Engineers with an ML Infrastructure background can help us build tools that let Adept iterate faster. Areas of focus on the Infrastructure team:

• Compute - building, managing, and optimizing large GPU clusters training SOTA models
• Research - working directly with researchers to accelerate workflows and improve model iteration speed
• Tooling - supporting the entire Adept engineering organization with platforms and expertise on everything from CI/CD to Kubernetes

We deeply value generalist software engineers who can engage with new problems and get things done at a startup. Our team members come from a variety of backgrounds and experiences. If you have some of these, you might be a good fit:

• 4+ years of experience as a software engineer
• Experience building and serving machine learning models
• Expertise building scalable web applications
• Experience at fast-growing companies or startups
• Demonstrated end-to-end ownership and self-direction
• Comfort with moving fast and learning by doing
• Excellent communication and collaboration skills, both verbal and written

The pay range for this position in California is $175,000 - $350,000yr; however, base pay offered may vary depending on job-related knowledge, skills, candidate location, and experience.

Position Summary

We’re growing rapidly and hiring software engineers to work across a broad and exciting range of challenges! Some problems we’re working on across Engineering right now include:

• Connecting neural networks to APIs, browsers, and applications
• Scaling up model inference and running predictions at scale
• Designing and implementing large-scale data pipelines to train cutting-edge models
• Improving our iteration speed by identifying and fixing bottlenecks in our tools
• Building reliable and secure systems to power our web-based applications
• Creating scalable product infrastructure so we can deliver amazing experiences quickly to people all around the world
• Inventing new UI/UX approaches for human computer interaction when LLMs are involved

We deeply value generalist software engineers who can engage with new problems and get things done at a startup, and our team members come from a variety of backgrounds and experiences. If you have some of these, you might be a good fit:

• 4+ years of experience as a software engineer
• Experience building and serving machine learning models
• Expertise building scalable web applications
• Experience at fast-growing companies or startups
• A high level of end-to-end ownership and self-direction
• The ability to move fast and learn by doing new things

The pay range for this position in California is $175,000 - $350,000yr; however, base pay offered may vary depending on job-related knowledge, skills, candidate location, and experience.

Position Summary

We are seeking to hire our second inaugural university cohort! As a part of this team, you’ll have the opportunity to work on a range of projects across product engineering, supercompute infrastructure, network architecture, and neural net training. The ideal candidate is intellectually curious, a strong communicator, and a collaborative problem-solver.

We’re looking for engineers who have a willingness to learn and want to build large, greenfield software projects geared toward accomplishing ambitious goals. Prior experience with neural networks is not required, but a desire to learn about them is!

Requirements:

• Excited to quickly learn how to do new things that nobody on the team has done before
• Hold a high standard for execution speed and quality
• Have a “no job is too small” attitude to get things done
• Possess excellent communication and presentation skills
• Currently have, or in the process of obtaining, a Bachelors or Masters degree in Computer Science or a related field
• Experience with designing and building software systems either as a full-stack engineer or front-end/back-end engineer

Nice to have:

• Previous experience building and serving machine learning models
• Experience building scalable web applications and optimizing them to reduce latency and increase throughput
• Interest in managing and monitoring infrastructure deployments
• Proficiency in Python, Javascript, and other modern languages
• Experience writing custom efficient CUDA code
• Experience managing and working with a large cluster of computers (especially around containers + GPUs in cloud environments and high performance filesystems)
• Experience with neural networks
• Exposure to various high-performance networking technologies including MPI, NCCL, RDMA, Infiniband and RoCE

The pay range for this position in California is $160,000 - $180,000yr; however, base pay offered may vary depending on job-related knowledge, skills, candidate location, and experience. In addition to base salary, we also offer competitive equity and benefits packages.