AI Jobs

Benefits:

• Variable compensation

• Equity

• Benefits

Experience Requirements:

• 5+ years of professional experience in roles that blend business and technology

• Experience with modern AI platforms and tools (e.g., OpenAI, Claude, Mistral, Cohere)

• Demonstrated ability to craft effective prompts and guide AI agents

• Consultative, customer-facing approach

• Understanding of current LLMs capabilities and limitations

Other Requirements:

• Willingness to work out of Palo Alto office Monday, Wednesday, Friday

Responsibilities:

• Partner with executive sponsors and end users to identify high‑impact use cases

• Lead strategic reviews and advise customers on their AI roadmap

• Translate business needs into clear problem statements, success metrics, and practical AI solutions

• Conduct discovery workshops, scope pilots, and guide rollouts

• Design and build AI agents with and for customers

Benefits:

• Medical insurance

• Vision insurance

• Dental insurance

• 401(k)

• Paid maternity leave

Experience Requirements:

• 5+ years building and operating high-throughput cloud infrastructure

• Deep experience with Kubernetes, Terraform, Docker, and modern CI/CD

• Strong background in monitoring, alerting, load testing, and cloud security

Other Requirements:

• Comfort debugging backend systems (Python, FastAPI, Postgres, Redis)

• Interest in science, research, and LLM-powered products

Responsibilities:

• Own and evolve cloud platform (Kubernetes, Terraform, GCP)

• Build and maintain observability, deployment, and incident response systems

• Debug and optimize backend and infrastructure performance

Benefits:

• Medical insurance

• Vision insurance

• Dental insurance

• 401(k)

• Paid paternity leave

Experience Requirements:

• 4+ years of full-stack engineering experience

• Deep experience with Next.js, TypeScript, FastAPI, Python, Postgres, and common SaaS tools

Other Requirements:

• Track record of high-velocity delivery and ownership

• Interest in science, research, education

Responsibilities:

• Ship end-to-end improvements like RAG/search features

• Identify issues, fix bugs, and iterate quickly

• Keep the codebase clean, reliable, and scalable

Benefits:

• Medical insurance

• Vision insurance

• Dental insurance

• 401(k)

• Paid maternity leave

Experience Requirements:

• 4+ years of full-stack engineering experience

• Deep experience with Next.js, TypeScript, FastAPI, Python, Postgres

• Familiarity with MixPanel, StatSig

Other Requirements:

• Track record of high-velocity experimentation

• Interest in science, research, education

Responsibilities:

• Ship growth-focused features and experiments

• Own the full loop: build features, instrument funnels, run A/B tests

• Contribute to general full stack web app development

Experience Requirements:

• 1–3+ years of experience in a fast-paced startup

• Strong experience with community building, student programs, or campus outreach

• Experience running programs end-to-end

Other Requirements:

• Comfortable traveling 1–2 times per month to universities

• Experience using data visualization tools like Mixpanel or Bigquery

Responsibilities:

• Form relationships with grad student unions and professional associations

• Build and run a full student ambassador program

• Run student workshops and classroom demos

• Test new ideas for reaching students

• Host on-campus meetups and tabling events

Experience Requirements:

• 6+ years of experience across Sales, GTM, and/or Customer Success

• Demonstrated success selling SaaS products to mid-market or enterprise

• Background in academia, healthcare, or corporate R&D

Other Requirements:

• Experience in using modern GTM automation tools like Clay, Apollo, Instantly

• Strong communication skills

Responsibilities:

• Co-develop and refine GTM strategy across core segments

• Own and execute a full outbound sales motion

• Partner with Product and Leadership to bring segment feedback

• Lead portions of customer onboarding and early success

Education Requirements:

• BS/MS degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field.

Experience Requirements:

• 7+ years of experience in embedded software development, with a strong emphasis on embedded Linux systems.

• Proven expertise in embedded Linux development, including deep knowledge of the kernel and the ability to work with low-level system components.

• Extensive experience reading, debugging, and optimizing driver/C code, including understanding complex kernel internals.

• Advanced knowledge of networking protocols in the context of embedded Linux systems (TCP/IP, UDP, CAN bus, RESTful APIs).

• Significant experience with embedded communication protocols (I2C, SPI, UART), and system-level data exchange.

Other Requirements:

• Proficiency in systems programming using languages like Rust, Go, or C, with a focus on writing efficient, resource-constrained applications.

• Deep familiarity with source control (Git) and development workflows.

• Expertise in building high-performance applications that integrate embedded sensors, with a keen understanding of hardware limitations and performance trade-offs.

• Advanced skills in designing optimized solutions using Rust, Python, or Go for embedded systems with stringent resource constraints.

• Strong background in math-based programming, with the ability to apply linear algebra for complex tasks like kinematics and leveraging tools such as NumPy.

• Expert knowledge in trigonometry and its application in LIDAR systems.

• Experience in developing AI/ML solutions, with hands-on expertise in frameworks such as OpenCV and PyTorch for embedded applications.

• Deep experience in system architectures, including event-driven and modular design approaches, as well as abstracting hardware layers (HAL, sensor fusion, application layers).

• Advanced knowledge of containerization technologies (Docker, cgroups, etc.) and their application in embedded systems.

• Strong background in Android platform development (AOSP, etc.), with a focus on embedded systems.

• Proven experience in developing, maintaining, and scaling CI/CD pipelines, particularly with tools like GitHub Actions, to ensure high-quality, automated build and release processes.

Responsibilities:

• Lead the design, development, and maintenance of embedded Linux software applications.

• Drive cross-functional collaboration, leading technical discussions with product managers, cloud engineers, and mobile engineers to ensure alignment on system architecture and design goals.

• Architect and optimize networking protocols such as TCP/IP, UDP, CAN bus, and RESTful APIs within embedded systems, ensuring efficient, high-performance communication between devices.

• Lead the integration of embedded communication protocols like I2C, SPI, and UART, facilitating robust data exchange across various embedded system components.

• Provide expert support during hardware bring-up, ensuring smooth integration with BSPs, Linux device drivers, and ongoing OS maintenance.

Benefits:

• Competitive compensation

• including an early-stage startup equity package

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Applied Mathematics, or a related field (PhD is a plus).

Other Requirements:

• Must be available to relocate and work onsite at our brand-new London office

Responsibilities:

• Conducting research into symbolic and categorical reasoning models, bridging abstract mathematics with machine learning.

• Translating complex theoretical insights into scalable, efficient coding implementations.

• Developing and optimizing machine learning pipelines for structured reasoning tasks, with a focus on interpretability and performance.

• Building robust experimentation platforms for large-scale training and evaluation of models.

• Collaborating with researchers to explore novel architectures and methodologies in logical reasoning and structured data.

Benefits:

• competitive compensation

• attractive equity package

Other Requirements:

• Must be available to relocate and work onsite at our brand-new London office

Responsibilities:

• Developing and optimizing GPU kernels for high-performance symbolic reasoning and numerical algorithms using CUDA.

• Designing and implementing domain-specific compiler optimizations for GPU acceleration, ensuring efficient transformation and execution of symbolic computation workloads.

• Collaborating with mathematicians and researchers to design highly efficient implementations of complex algorithms.

• Analyzing and optimizing GPU performance, focusing on memory management, thread utilization, compiler-generated optimizations, and computation throughput.

• Building and maintaining scalable, reusable GPU-accelerated libraries tailored for symbolic reasoning workloads.

Benefits:

• competitive startup salaries

• early-stage stock

• unlimited vacation

• medical/dental benefits

• flexible work environment

Education Requirements:

• Holds a BS or MS degree in Computer Science or a closely related Engineering discipline.

Experience Requirements:

• 3+ years of hands-on professional experience in the design, development, and successful deployment of intricate software systems, maintaining a benchmark of excellence.

Responsibilities:

• Leadership in Product Development: Take charge of crafting and developing the critical components of Auditoria’s offerings, utilizing state-of-the-art technology within the AWS cloud ecosystem.

• Cross-Functional Collaboration: Engage in cohesive teamwork across various departments and time zones, ensuring the delivery of high-quality solutions aligned with our strategic roadmap.

• Business Partnership: Forge meaningful partnerships with business units to consistently deliver added value to our clientele.

• Cultural Advocacy: Act as a stalwart promoter of the principles and technological ethos that define Auditoria.

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field

Experience Requirements:

• Experience with model training, deploying, and maintenance.

• Strong knowledge of reinforced feedback techniques and reinforcement learning.

• Proficiency in frameworks like PyTorch, TensorFlow, or similar.

• Familiarity with NLP, text generation, and language understanding

Other Requirements:

• Strong problem-solving skills and a passion for addressing complex AI challenges.

• Excellent communication and collaboration abilities.

• Self-motivated and eager to stay at the forefront of AI advancements

Responsibilities:

• Lead the development and customization of large-scale language models that drive the NeuBird platform.

• Implement and experiment with RLHF to enhance model performance and decision-making.

• Collaborate with cross-functional teams to integrate language models into various applications and platforms.

• Work on model fine-tuning, performance optimization, and continuous improvement.

• Stay up-to-date with the latest research and trends in language modeling and RLHF.Contribute to research projects and technical publications.Participate in code reviews and mentorship of junior engineers

Experience Requirements:

• Proven experience in building and optimizing database engines

• Prior experience with PostgreSQL extensions

Other Requirements:

• Solid foundation in data structures, algorithms, and database design

• Problem-solving skills and a passion for enhancing database performance

• Excellent communication and collaboration abilities

• Strong analytical mindset and a drive for innovation

Responsibilities:

• Invent, design, develop, and optimize core database engines.

• Collaborate on projects that involve NLP and machine learning applications to extract valuable insights from structured and unstructured data.

• Tackle complex database challenges, including schema design, query optimization, and distributed data processing.

• Stay current with emerging trends in database management, NLP, and machine learning

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field

Experience Requirements:

• Proven experience in designing and building high-performance and secure APIs

• Strong programming skills in Python

• Knowledge of cloud computing, SaaS, and microservices architecture

• Familiarity with Docker, and Kubernetes

• Experience with performance optimization and scalability of distributed systems

Other Requirements:

• Excellent problem-solving and debugging skills

• Strong teamwork and communication skills

• A passion for staying updated on emerging technologies and industry trends

Responsibilities:

• Collaborate with cross-functional teams to design, develop, and maintain the control plane components of our distributed computing platform.

• Implement and optimize Python-based control plane services to enable the management, orchestration, and scaling of distributed workloads.

• Contribute to the development of SaaS offerings, ensuring they meet high standards of reliability, scalability, and security.

• Identify performance bottlenecks and implement solutions to improve the overall efficiency of our distributed systems.

• Actively participate in code reviews, providing and receiving feedback to maintain code quality and best practices.Stay up-to-date with the latest trends and technologies in distributed computing and SaaS to drive innovation within the company

Benefits:

• Full health and dental benefits

• Parental leave top-up for 6 months