Benefits:

• Competitive Compensation

• Flexible Working Hours

• Modern Office Spaces (WeWork)

• Hardware (Apple MacBook, workspace fund)

• English Lessons

Experience Requirements:

• 2+ years in Software Engineer or ML Engineer roles

Other Requirements:

• Deep understanding of Machine Learning theory and practice

• Technical fluency in English

• Great communication skills

• US citizenship/visa not required

Responsibilities:

• Build consumer products and business solutions on top of state-of-the-art language models like OpenAI's GPT

• Take ownership and contribute to key parts of our technology

• Learn and be creative

• Take ownership of ambitious projects

• Work on things that have never been done before

Experience Requirements:

• Any experience level

Experience Requirements:

• 1+ years

Experience Requirements:

• 1+ years

Experience Requirements:

• 3+ years

Benefits:

• Offers Equity

• Relocation expenses negotiable

• Medical, dental, vision benefits

• Top of the line hardware - brand new Macbook, monitor, peripherals

• Four weeks Paid Time Off per year

Experience Requirements:

• Strong technical background in software engineering or data science, ideally with prior experience in AI and machine learning

• Ability to write and debug code, e.g. for sample applications or to troubleshoot for customers

• Excellent communicator, both written and verbal, able to explain complex technical concepts to diverse audiences

• Passion for AI and staying up-to-date with the latest developments in the field

• Experience in prototyping and rapid development of software solutions for customers

Other Requirements:

• Commitment to travel and spend time regularly with our team in person (for remote candidates)

Responsibilities:

• Be the face of Freeplay to our customers; lead workshops, prototype solutions, and guide them through implementation.

• Leverage deep understanding of generative AI (LLMs and RAG systems) to show best use of Freeplay.

• Work closely with customers to identify and solve specific challenges using Freeplay and industry best practices.

• Act as owner of customer-facing documentation, ensuring it's simple, comprehensive, up-to-date, and useful.

• Provide top-tier technical support, troubleshooting complex issues and ensuring customers get the most out of our platform.

Other Requirements:

• You just love computers, from the L1 cache, STP packets to NNs.

Responsibilities:

• Ability to work independently on the overarching research goals you're assigned.

• Detailed note taking and documenting your progress, pitfalls and lessons learned from each experiment and iteration.

Benefits:

• equity terms (early exercise, extended exercise)

• learning and growth opportunities

• visa sponsorship

• relocate to San Francisco

• Health, dental, and vision insurance (US) (US only, assume it is for US based employees, as no other country specified for this benefit.) Health insurance and dental insurance, vision insurance provided for employees, only US.

Responsibilities:

• developing, fine-tuning, and operationalizing machine learning models to enhance user experiences

• entirely novel training or architecture developments

• fine-tuning pre-existing models with novel datasets

Benefits:

• Interesting and challenging work

• Competitive salary and equity

• Employee-friendly equity terms (early exercise, extended exercise)

• A lot of learning and growth opportunities

• visa sponsorship and relocation assistance to San Francisco.

Responsibilities:

• access to our cloud infrastructure for development and deployment

• make our model playgrounds more interactive and help make them more discoverable

• collaborate with a cross-functional team to rapidly iterate and deploy new features

Benefits:

• Interesting and challenging work

• Employee-friendly equity terms (early exercise, extended exercise)

• A lot of learning and growth opportunities

• visa sponsorship and relocation assistance to San Francisco.

• Health, dental, and vision insurance (US)

Experience Requirements:

• Deep experience building distributed compute platforms, preferably with Python

• Strong foundation in managing both cloud and bare metal infrastructure

• Solid understanding of K8s and CI/CD on it

Other Requirements:

• Excellent communication

• Self-starter who executes quickly, takes ownership and constantly seeks improvement

Responsibilities:

• Develop and maintain our core Python platform, which handles routing of requests, orchestration of AI workloads, GPU server capacity management, observability, authentication, rate limiting, and many others

• Develop and maintain our infrastructure layer where we use Terraform, Ansible, and provider APIs to manage our fleet of GPU workers

• Own K8s, FluxCD, Nomad, Prometheus, Thanos, Grafana, Loki, distributed networking storage, and other technologies that underpin our platform

• Create the vision and lay the foundation for where our infrastructure should go in the next 1/2/5 years

Experience Requirements:

• Deeply experienced in ML performance optimization. You've optimized inference for large-scale generative models in production environments.

• Understand the full ML performance stack. From PyTorch, TensorRT, TransformerEngine, Triton to CUTLASS kernels, you’ve navigated and optimized them all.

• Know inference inside-out. Expert-level familiarity with advanced inference techniques: quantization, kernel authoring, compilation, model parallelism (TP, context/sequence parallel, expert parallel), distributed serving and profiling.

• Lead from the front. You're a respected IC who enjoys getting hands-on with the toughest problems, demonstrating excellence to inspire your team.

Other Requirements:

• Thrive in cross-functional collaboration. Comfortable interfacing closely with applied ML teams, researchers, and stakeholders.

Responsibilities:

• Set technical direction. Guide your team (kernels, applied performance, ML compilers, distributed inference) to build high-performance inference solutions.

• Hands-on IC leadership. Personally contribute to critical inference performance enhancements and optimizations.

• Collaborate closely with research & applied ML teams. Influence model inference strategies and deployment techniques.

• Drive advanced performance optimizations. Implement model parallelism, kernel optimization, and compiler strategies.

• Mentor and scale your team. Coach and expand your team of performance-focused engineers.

Benefits:

• Offers Equity

Other Requirements:

• San Francisco based or open to relocating

Benefits:

• Health insurance: best-in-class healthcare for employees and dependents. Includes vision and dental.

• Top-of-market compensation: we strive to offer top-of-market salary and equity.

• Flexible vacation: we want you to take the time you need to rest and relax.

• Employee-friendly equity terms: we offer an extended exercise window and early exercise for any options offered.

• Sell equity along the way: Unlike most startups, we don’t believe in holding you captive with golden handcuffs.

Experience Requirements:

• Prior leadership in QA, ideally in startups.

• Strategic thinking with actionable execution.

• Effective collaboration and influencing skills.

• Mastery of manual and automated testing methods.

• Expertise in risk-based testing approaches.

Other Requirements:

• Proactive, anticipatory problem-solving skills.

• Commitment to continuous QA learning and trends.

Responsibilities:

• Identify and prioritize high-ROI product quality and company process changes.

• Perform continuous release quality validation testing.

• Balance daily issue management with larger strategic quality improvements.

• Oversee and adjust QA metrics for continuous improvement.

• Champion valuable automated testing tools and strategies.

Benefits:

• Health insurance: best-in-class healthcare for employees and dependents. Includes vision and dental.

• Top-of-market compensation: we strive to offer top-of-market salary and equity.

• Flexible vacation: we want you to take the time you need to rest and relax.

• Employee-friendly equity terms: we offer an extended exercise window and early exercise for any options offered.

• Sell equity along the way: Unlike most startups, we don’t believe in holding you captive with golden handcuffs.

Experience Requirements:

• You’ve shipped modern Android apps used by thousands (ideally millions) of people and can point to work you’re proud of.

• Strong foundation in performance and reliability across diverse devices.

• Experience handling complex data, background processes, and system resource constraints.

• Comfortable moving fast in an early-stage environment: you know when to build scrappy and when to invest in foundations.

• A product mindset: you care as much about the experience as you do about the code.

Responsibilities:

• Leading Android development end-to-end, from architecture through shipping features that delight users.

• Designing and implementing modern, performant Android applications that handle real-time audio, data syncing, and AI-powered insights.

• Establishing best practices for Android development at Limitless and mentoring future team members as the team grows.

• Driving product decisions by bringing deep customer empathy into technical execution.

Education Requirements:

• Bachelor's degree in Computer Science or equivalent practical experience

Experience Requirements:

• Two years of experience in software development

• Experience with one or more backend programming languages (Go, Python, C++)

• Experience with Linux administration and networking

• Experience managing a Kubernetes cluster or developing an Operator

Responsibilities:

• Manage the complexity of a fleet of Industrial PCs, so our users can focus on industrial automation

• Mitigate and resolve failures in the OS and Kubernetes cluster

• Ensure security of our on-prem deployments, so our customers' data is safe

Education Requirements:

• A Master’s or PhD degree in Computer Science, Electrical Engineering, Robotics, or a closely related technical field

Experience Requirements:

• 3-5 years of experience in AI, machine learning, computer vision, or robotics, with a strong focus on deep learning, including transformer based foundation models

• Demonstrated experience with deep learning and the transformer architecture, along with at least one of the following topics: object detection, 6dof pose estimation, or 3D reconstruction

Other Requirements:

• Proficiency in at least one modern deep learning framework (e.g., PyTorch, TensorFlow, JAX)

• Strong programming skills in Python and C++

Responsibilities:

• Develop and implement robust deep learning models for 3D computer vision tasks, including object detection, object pose estimation, and 3D reconstruction

• Optimize and deploy algorithms for reliable grasping and manipulation in complex industrial robotics environments

• Translate advanced deep learning research and models into practical, production-ready solutions for physical robots

• Enhance robot perception capabilities, enabling more complex and reliable interactions in dynamic manufacturing settings

• Contribute to the design and implementation of core perception software skills within Intrinsic's platform

Experience Requirements:

• Professional working experience in industrial robotics and automation

• Familiarity with common robot brands (KUKA, FANUC, ABB) from installation to programming

• Familiarity with common peripherals: I/O Blocks, PLCs, safety, cameras, etc.

• Familiarity with common Fieldbus technologies: EtherCAT, PROFINET, etc.

• Experience in a customer facing role (application engineer, service technician)

Responsibilities:

• Work closely with the solutions engineering team to build industrial robotics and automation solutions for our customers and their end-customers

• Work closely with our customers to design robotics and automation solutions, onboard their hardware to intrinsic flowstate, and deploy solutions in production

• For internal projects, take ownership of designing and implementing rapid innovative R&D robotic automation workcells (from selecting hardware, electrical design to Robot, PLC and HMI programming)

• In this role, you directly empower customer success and accelerate our market presence by bringing innovative robotics and automation solutions from concept to full operational deployment

Education Requirements:

• Masters or Bachelors degree with equivalent professional experience in Computer Science, Robotics or a related field

Experience Requirements:

• Experience programming robotics or automation software

• 2 years of experience in one or more of the following areas: industrial automation, real-time systems, control systems software, robotics

Other Requirements:

• Very good C++ coding skills

Responsibilities:

• Integrate new robot hardware and field bus features to Intrinsic's robot control stack

• Contribute to and harden our real-time framework and hardware abstraction layer

• Collaborate alongside industry-leading partners to deploy cutting-edge robotic automation solutions

Education Requirements:

• Master’s or equivalent in Computer Science, Robotics or a related field

Experience Requirements:

• Professional work proficiency with C++ and Python

• Experience working on deliberation and control architectures for multi-agent systems

• Proven ability to work with cross functional teams, setting directions and driving towards solutions independently

• Professional background of leading and delivering industrial robotics and automation solutions to customers

Responsibilities:

• Lead the development of cutting-edge robotic automation solutions using the Intrinsic platform

• Design, implement, test, and maintain innovative software features to expand Intrinsic's capabilities

• Document and communicate your work for internal and external stakeholders

• Collaborate alongside industry-leading partners to deploy automation products

Benefits:

• Attractive salary + equity (employee stock options)

• Working shoulder to shoulder with founders

• An environment without bureaucracy, and a culture where your voice is highly valued

• An international and diverse team

• Ability to work from anywhere in the world

Experience Requirements:

• At least 4+ years of experience in frontend development

• Strong proficiency in modern frontend technologies, including Typescript and React

• Knowledge of UI/UX design principles and the ability to work closely with designers to implement user-friendly interfaces

• Experience with responsive web design and mobile optimization

• At least Upper Intermediate - Advanced English level (B2-C1)

Other Requirements:

• Excellent problem-solving and communication skills

• Strong attention to detail and a passion for creating exceptional user experiences

• Product mindset: you're committed to building the best user experience; share values of product development

Responsibilities:

• Implement new frontend components and features

• Work closely with the product team to create user-friendly and visually appealing interfaces that meet user needs and enhance the overall user experience

• Ensure quality of the implemented features: conduct code reviews and perform end-to-end testing

• Collaborate with team members, including backend developers, product managers, and ML team, to ensure seamless integration of frontend and backend components