AI Jobs

Benefits:

• fully covered health/dental/vision

• transportation reimbursement

• Free meals

• Stocked kitchen with drinks, snacks, matcha and an espresso machine

• Monthly company outings (bike rides to Mt. Tamalpais, escape rooms, etc.)

Education Requirements:

• Degree in Computer Science or related technical field

Experience Requirements:

• 4+ years of frontend engineering experience building complex, user-facing applications

• Have an incredible bar for yourself and for others. You want your work to be exceptional, and accept nothing less.

• In-depth experience with JavaScript, TypeScript, React, NextJS and other modern frontend technologies

• Excellent communication skills and ability to collaborate with cross-functional teams

• Strong product/design intuition.

Other Requirements:

• Familiar with Python, Postgres

• Previous founder or early engineer at seed/series-A startup

Responsibilities:

• Doing everything frontend for the default open-source chat interface, enterprise search platform, and agent builder.

• Collaborating closely with the design team + founders

• Setting frontend priorities and best practices

• Building an exceptional design / frontend engineering culture

• Fostering an open-source community; guiding contributors on adding to the frontend

Benefits:

• Competitive salary package

• Medical insurance

• Dental insurance

• Vision insurance

• Life insurance

Education Requirements:

• PhD (or MS working towards a PhD) in Computer Science, related technical field or equivalent practical experience

Experience Requirements:

• Strong programming experience in one or more of the following: C, C++, Python, Java.

• Relevant work experience, including full-time industry experience or as a researcher in a lab

• Strong publication record

• Ability to design and execute a research agenda.

• Personal or professional experience in working with people of diverse backgrounds.

Responsibilities:

• Participate in cutting edge research in the following areas: Data Management and Integration, Data Mining, Machine Learning, Natural Language Processing, Knowledge Representation, Bot interfaces, Crowdsourcing, and Visualization.

• Develop solutions for real world, and work on large scale problems.

Experience Requirements:

• Minimum of 3 years of experience as a Power BI Developer or similar role.

• Proficiency in Power BI Desktop, Power Query, and DAX.

• Strong SQL skills and experience with data warehousing concepts.

• Experience with data transformation and data wrangling techniques.

• Excellent data visualization skills with an eye for design and usability.

Other Requirements:

• Ability to effectively communicate technical concepts to non-technical stakeholders.

• Microsoft Power BI Certification is a plus.

• Exceptional problem-solving and analytical skills.

• Strong attention to detail and commitment to data quality.

• Excellent communication and interpersonal skills.

Responsibilities:

• Collaborate with business stakeholders to understand their data and reporting needs.

• Design, develop, and maintain data warehousing solutions to support data transformation, wrangling, and storage needs.

• Utilize data transformation and wrangling techniques to clean, reshape, and prepare raw data for analysis.

• Write and optimize complex DAX calculations to provide meaningful insights from data.

• Develop interactive and visually appealing dashboards and reports using Power BI.

Benefits:

• Competitive base salary with performance-based bonuses

• Health insurance, retirement/pension contributions, and paid time off

• Equity or stock option potential in a fast-growing startup

• Fully remote work setup (work from home) with flexible hours

• Professional development budget (books, courses, conferences) and modern tools (MacBook, software subscriptions)

Experience Requirements:

• 5+ years of experience in B2B SaaS or technology sales (mid-market/enterprise)

• Proven track record of meeting or exceeding sales targets and closing new business

• Familiarity with selling into e-commerce, software/SaaS, education/EdTech, or government clients is highly desirable

Other Requirements:

• Excellent verbal and written communication, presentation, and negotiation skills

• Strong ability to understand customer needs and craft tailored solutions

• Demonstrated ability to build and maintain relationships with decision-makers (e.g. C-level, department heads) in target industries

• Proficiency with CRM tools (e.g. Instantly,Salesforce, HubSpot) and sales engagement tools (e.g. LinkedIn Sales Navigator, Outreach.io)

• Familiarity with analytics/reporting tools is a plus

• Energetic, positive attitude with a growth mindset, and a passion for AI/technology

• Bonus if you have an existing network in the London tech/AI community

Responsibilities:

• Proactively identify and research new B2B sales opportunities in target industries (e.g. e-commerce, SaaS, EdTech, government) and qualify inbound leads.

• Build and maintain strong relationships with potential clients through cold calls, email campaigns, social selling (LinkedIn, etc.), and networking.

• Schedule and conduct compelling demos of ChatBotKit’s AI chatbot/agentic platform, highlighting features and business value to prospects.

• Work closely with marketing to nurture leads, manage the sales pipeline, and ensure accurate forecasting in the CRM system.

• Meet or exceed monthly and quarterly sales targets and KPIs by effectively communicating ChatBotKit’s value proposition.

Benefits:

• Competitive base salary with performance-based bonuses

• Health insurance, retirement/pension contributions, and paid time off

• Equity or stock option potential in a fast-growing startup

• Fully remote work setup (work from home) with flexible hours

• Professional development budget (books, courses, conferences) and modern tools (MacBook, software subscriptions)

Experience Requirements:

• 5+ years of experience in full stack web development, with a strong track record of shipping and maintaining production-grade applications

• Expert-level proficiency in TypeScript and strong working knowledge of Python

• Experience with React and Next.js, including server-side rendering and static site generation

• Proficiency in Node.js, Python and microservices architecture

• Hands-on experience with AWS and Google Cloud Platform

Other Requirements:

• Familiarity with containerization (Docker), CI/CD pipelines, infrastructure-as-code tools (Terraform), and monitoring solutions

• Experience with automated testing frameworks (e.g., Jest, Playwright, Cypress)

• Comfortable working in a collaborative, agile development environment

• Excellent communication skills and an ability to self-manage

• Experience with serverless architectures

• Familiarity with OpenAI APIs or LLM-based application development

• Exposure to chatbot frameworks or agentic system design

• Contributions to open source or tech communities

Responsibilities:

• Design, implement, and maintain scalable features and services across the frontend (React/Next.js) and backend (Node.js/Python).

• Deploy and maintain cloud-native applications in AWS and Google Cloud environments. Contribute to DevOps practices and CI/CD workflows.

• Build and consume RESTful APIs to power real-time conversational AI experiences.

• Ensure high performance, security, and scalability of the applications across different environments.

• Work closely with the product, design, and AI teams to build and iterate on features that delight users and support the needs of our enterprise clients.

Experience Requirements:

• Strong engineering fundamentals and experience building and operating large-scale distributed systems

• Deep familiarity with HPC & GPU cluster management using Kubernetes and Slurm

• A blend of developer empathy and raw performance engineering, designing systems and tools that are intuitive to use and fast

• Ability to balance principled engineering with the urgency of keeping mission-critical systems alive

• Proficiency with Infrastructure-as-Code tools (Terraform, Ansible, etc.) and observability tools (Prometheus, Grafana, etc.)

Other Requirements:

• Strong debugging skills— comfortable diagnosing NCCL issues, CUDA errors, and network or driver-level faults.

• Experience optimizing large-scale distributed training frameworks such as DeepSpeed, Megatron-LM, or similar

• Familiarity with advanced parallelization techniques such as FSDP, context parallelism, or tensor parallelism

Responsibilities:

• Design and build large-scale GPU clusters for model training and low-latency inference

• Develop automation for provisioning, scaling, and monitoring to ensure clusters are fast, resilient, and self-healing

• Collaborate closely with research and product teams to enable distributed training at scale, optimizing for speed, reliability, and utilization

• Implement robust observability and alerting systems to monitor GPU health, node stability, and job performance

• Diagnose and triage hardware, networking, and distributed training issues across environments, coordinating with provider support as needed

Benefits:

• Lunch, dinner and snacks at the office

• Fully covered medical, dental, and vision insurance for employees

• 401(k)

• Relocation and immigration support

• Your own personal Yoshi

Education Requirements:

• Degree in Computer Science, Engineering, or related technical field, or equivalent professional experience

Experience Requirements:

• 8+ years of product management experience for highly technical products, preferably in AI/ML or developer tools

• Proven track record with shipping products that developers and enterprises rely on

• Strong technical communication skills with ability to explain complex AI concepts to both technical and non technical audiences

• Experience working directly with customers to gather requirements and influence product development

• Understanding of AI model evaluation, testing methodologies, and performance metrics

Other Requirements:

• Direct experience conversational AI products

• Experience building and leading high-performing product teams in fast-growing environments

• Background in AI/ML product development

• Experience building product management 0 to 1 at an early stage startup (Series A or B)

Responsibilities:

• Build and optimize enterprise-grade voice AI agents powered by our state-of-the-art audio models across diverse use cases

• Drive product excellence through rigorous evaluation frameworks and testing methodologies for both audio models and voice agents, creating benchmarks for performance, naturalness, and user satisfaction

• Engage deeply with customers and design partners across all organizational levels to discover requirements, deliver compelling demonstrations, and secure strategic partnerships

• Execute our agent product roadmap in close alignment with our GTM team, ensuring customer feedback directly influences development priorities and market expansion strategies

• Establish voice AI standards by creating comprehensive best practices, implementation guides, and training materials for customers building voice experiences

Education Requirements:

• BS or MS in Computer Science, Engineering, or similar experience

Experience Requirements:

• 3+ years of leading complex teams with multiple management layers

• Domain knowledge: validation methods – by design, system decomposition, traceability, statistical approaches

• Domain knowledge: neural net understanding/introspection and/or validation

• Domain knowledge: robotics including computer vision and motion – scenario understanding and simulation

• Execution skills: resource allocation, program planning and execution

Other Requirements:

• Passionate about self-driving cars and think you have what it takes to make a positive impact on the world

Responsibilities:

• Define and own the technical vision, strategy and metrics for your area, ensuring its teams and the rest of Wayve are aligned and galvanised

• Design and grow a Validation engineering organisation covering model releases and system level validation

• Cover all our AV product requirements (safety, utility, comfort) on a set of reference platforms with automated tests

• Find architectural and implementation gaps throughout our systems

• Drive requirements into our tooling development – simulators, generative AI, scenario understanding

Experience Requirements:

• 2+ years of engineering management experience in data, ML, or perception domains

• Proven experience designing and scaling ML or data processing systems in production

• Strong systems thinking across latency, throughput, observability, and robustness

• Technical fluency in Python and/or modern data stack (e.g. Spark, Ray, Flyte, Databricks)

• Track record of delivering high-quality engineering outcomes in complex domains

Other Requirements:

• Passionate about self-driving cars and think you have what it takes to make a positive impact on the world

Responsibilities:

• Lead, grow, and mentor a team of 5–8 engineers across ML, perception, and data domains

• Define and scale data enrichment pipelines, including semantic segmentation and cuboid annotation

• Set and drive quality and throughput goals for all enrichment outputs

• Drive architecture decisions that ensure robustness, efficiency, and scalability

• Partner with infra and platform teams to productionize enrichment systems

Experience Requirements:

• Demonstrated ability to build, manage and grow high-performing Machine Learning Engineering teams

• Strong hands-on development experience in designing, implementing and maintaining high quality software systems, ideally in Python

• Solid understanding of machine learning fundamentals

• Experience with roadmap planning, stakeholder management, requirements gathering and alignment with peers towards milestones and deliverables

• Track record of promoting software engineering best practices and excellence within the team

Other Requirements:

• Passionate about self-driving cars and think you have what it takes to make a positive impact on the world

Responsibilities:

• Lead a team of software engineers and ML engineers, providing clarity for execution and support for personal growth

• Collaborate with other leaders across ML modeling, data engineering and infrastructure to understand their needs and communicate your roadmap

• Prioritise effectively, implement and maintain lean and effective team processes

• Build resilient and reliable systems and teams, anticipate the needs of the business 18 months out, identify areas where additional resources are needed and grow team as hiring manager

• Lead technical discussions and guide technical direction where needed

Experience Requirements:

• 2+ years experience leading high-performing engineering teams

• Proven track record designing and scaling distributed systems, particularly search or indexing infrastructure

• Experience with vector similarity search, ANN algorithms, or semantic retrieval systems

• Strong technical fluency with Python and/or systems-level languages (e.g., C++, Go); familiarity with data stack components like Spark, Ray, Databricks

• Comfort working with ML workflows or embedding-based pipelines

Other Requirements:

• Passionate about self-driving cars and think you have what it takes to make a positive impact on the world

Responsibilities:

• Lead and grow a team focused on the design, scaling, and reliability of Wayve’s corpus indexing systems

• Define the technical architecture for embedding-based retrieval, metadata-based querying, and multi-modal index structures

• Establish engineering rituals (planning, standups, retros) and team delivery rhythm

• Work closely with ML, data curation, and simulation teams to align indexing priorities with downstream workflows

• Ensure the indexing system meets evolving performance, recall/precision, and observability needs at scale

Experience Requirements:

• Proven track record of managing high-performing machine learning engineering teams

• Strong understanding of generative AI, including experience with model training and deployment

• Experience with roadmap planning, stakeholder management, requirements gathering, and alignment with peers towards milestones and deliverables

• Demonstrated ability to guide the development and operationalisation of ML models, with attention to model lifecycle, reliability, and performance

• Track record of promoting software engineering and ML Ops best practices within the team

Other Requirements:

• Passionate about self-driving cars and think you have what it takes to make a positive impact on the world

Responsibilities:

• Define and drive the engineering roadmap for synthetic data generation using generative AI

• Lead technical discussions across research and engineering, and guide architectural and implementation decisions across model training, deployment, and data delivery pipelines

• Set effective KPIs and metrics to evaluate model quality, generation throughput, coverage, and overall impact on system evaluation

• Build scalable, reliable systems and teams, anticipate the needs of the business 18 months out, identify areas where investment is needed, and grow the team as hiring manager

• Prioritise effectively, implement and maintain lean, ML-ops friendly team processes that support both iterative model development and robust internal tool delivery

Experience Requirements:

• Proven track record of managing engineering teams

• Solid understanding of machine learning fundamentals

• Experience with roadmap planning, stakeholder management, requirements gathering and alignment with peers towards milestones and deliverables

• Track record of promoting software engineering best practices and excellence within the team

• Demonstrated ability to manage software engineers and grow their careers

Other Requirements:

• Passionate about self-driving cars and think you have what it takes to make a positive impact on the world

Responsibilities:

• Help define and drive the Collision Avoidance roadmap, lead technical discussions and guide direction where needed

• Build a resilient team which prioritises effectively, anticipates the needs of the business, and maintains a culture of impact

• Understand Wayve’s end-to-end approach and how it maps to AV 1.0

• Dive into data analytics, constructing evaluation suites, and get in-vehicle experiences from time to time to ground your understanding of the system

• Drive cross-functional initiatives through effective communication

Experience Requirements:

• Strong track record of shipping deep learning systems to production

• Expert in deep learning (esp. sequential models, control, planning, or perception)

• Proficient in Python and other relevant languages (e.g. C++ and CUDA) and ML frameworks (esp. PyTorch), with a solid foundation in software engineering practices

• Experience with real-time systems or robotics, ideally with simulation- or vehicle-in-the-loop components

• Ability to lead technical initiatives across teams, drive alignment, and mentor engineers

Other Requirements:

• Passionate about self-driving cars and think you have what it takes to make a positive impact on the world

Responsibilities:

• Develop and improve end-to-end driving models with state-of-the-art performance, robustness, and generalization

• Lead projects on personalized and collaborative driving, including behavior conditioning, comfort tuning, and user alignment

• Build evaluation pipelines and metrics for both closed-loop and open-loop driving performance and product readiness

• Curate and mine real-world and synthetic data to drive scenario diversity, coverage, and feature-specific development

• Influence architecture choices, training methodologies, and deployment pathways for production-scale learning systems

Experience Requirements:

• 7+ years (Staff) or 10+ years (Principal) years in ML engineering, with a strong track record of shipping deep learning systems to production

• Expert in deep learning (esp. sequential models, control, planning, or perception)

• Proficient in Python and other relevant languages (e.g. C++ and CUDA) and ML frameworks (esp. PyTorch), with a solid foundation in software engineering practices

• Experience with real-time systems or robotics, ideally with simulation- or vehicle-in-the-loop components

• Ability to lead technical initiatives across teams, drive alignment, and mentor engineers

Other Requirements:

• Passionate about self-driving cars and think you have what it takes to make a positive impact on the world

Responsibilities:

• Develop and improve end-to-end driving models with state-of-the-art performance, robustness, and generalization

• Lead projects on personalized and collaborative driving, including behavior conditioning, comfort tuning, and user alignment

• Build evaluation pipelines and metrics for both closed-loop and open-loop driving performance and product readiness

• Curate and mine real-world and synthetic data to drive scenario diversity, coverage, and feature-specific development

• Influence architecture choices, training methodologies, and deployment pathways for production-scale learning systems

Experience Requirements:

• 7+ years (Staff) or 10+ years (Principal) years in ML engineering, with a strong track record of shipping deep learning systems to production

• Expert in deep learning (esp. sequential models, control, planning, or perception)

• Proficient in Python and other relevant languages (e.g. C++ and CUDA) and ML frameworks (esp. PyTorch), with a solid foundation in software engineering practices

• Experience with real-time systems or robotics, ideally with simulation- or vehicle-in-the-loop components

• Ability to lead technical initiatives across teams, drive alignment, and mentor engineers

Other Requirements:

• Passionate about self-driving cars and think you have what it takes to make a positive impact on the world

Responsibilities:

• Develop and improve end-to-end driving models with state-of-the-art performance, robustness, and generalization

• Lead projects on personalized and collaborative driving, including behavior conditioning, comfort tuning, and user alignment

• Build evaluation pipelines and metrics for both closed-loop and open-loop driving performance and product readiness

• Curate and mine real-world and synthetic data to drive scenario diversity, coverage, and feature-specific development

• Influence architecture choices, training methodologies, and deployment pathways for production-scale learning systems

Education Requirements:

• A degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience

Experience Requirements:

• Strong understanding of modern browser APIs, familiarity with frameworks such as React or Angular, and TypeScript

• Comfortable working in Linux environments, proficient in Rust or C++

• Comfortable designing and maintaining systems end-to-end, including architecture, testing, deployment, and monitoring

• Ability to deliver pragmatic, high-quality solutions under evolving requirements, balancing short-term needs and long-term sustainability

• Skilled at working closely with cross-functional partners and communicating technical concepts clearly and effectively

Other Requirements:

• A focus on building products that deliver real impact for users in real-world environments

• Enthusiasm for robotics, autonomous systems, or mobility innovation

• Passionate about self-driving cars and think you have what it takes to make a positive impact on the world

Responsibilities:

• Own system design and delivery: Design, implement, and maintain critical fullstack systems for the onboard experience

• Develop robust frontend and backend features: Build user interfaces in React/TypeScript and backend services in Rust

• Ensure reliability and observability: Establish metrics, logging, and testing practices

• Collaborate across disciplines: Work with engineers and designers to translate user and operational needs into elegant technical solutions

• Contribute to technical excellence: Uphold high standards for code quality, architecture, and documentation

Benefits:

• Competitive compensation package

• Health, Dental and Vision Insurance

• 401k with matching

• Company paid life and short-term disability insurance

• Company paid parking or transit pass

Education Requirements:

• Bachelor’s degree (B.A.)

• HSE / DOT compliance certification

Experience Requirements:

• 10+ years leading and mentoring DOT professionals and performing USDOT/FMCSA driver/vehicle roadside inspections or related experience and/or training

• Experience managing an HSE / DOT department

• At least 10+ years of leading and mentoring HSE professionals in the trucking industry

• Must have corporate rep deposition experience

• Prior oilfield experience required

Other Requirements:

• Must be a subject matter expert in all matters related to USDOT roadside inspections and the CVSA Out of Service Criteria

• Expertise with drug & alcohol policies and procedures

• Experience in writing policy and procedures for compliance with USDOT/FMCSA regulations

• Experience in presenting findings to large groups of people

• Fluency in speaking and writing in Spanish, preferred but not required

• Proficiency in Microsoft Office (outlook, excel, word)

• Demonstrate a strong sense of urgency in all projects and an ability to prioritize and re-prioritize as necessary

• Ability to multi-task projects and required tasks in an organized fashion

• Ability to work in a team environment as well as self-motivated in individual projects

• Ability to communicate both verbally and written to all levels of the organization

• 75% travel to the field

Responsibilities:

• Lead and mentor the Carrier Auditing, Claims and Field HSE / DOT teams, both energy and non-energy related

• Manage the vetting and ongoing compliance for roughly 1,000 brokered motor carriers

• Ensure state and national compliance with HSE / DOT regulations

• Ensure carrier compliance with established journey management plans

• Oversee and lead incident investigation and root cause analysis

Benefits:

• Competitive compensation package

• Health, Dental and Vision Insurance

• 401k with matching

• Company paid life and short-term disability insurance

• Company paid parking or transit pass

Education Requirements:

• Associate or bachelor’s degree

• Paralegal certification preferred

Experience Requirements:

• 1-10 years related experience and/or training

Other Requirements:

• Highly proficient with MS Office applications (Word, Excel, and PowerPoint) as well as internet-based applications

• Familiarity with AI tools and large language models (LLMs) for legal research, document drafting, and process automation preferred

• Willingness to work in an office-based workplace

• Detail-oriented, able to work independently and on a team, and the ability to stay on task

• Excellent organization, communication, teamwork and problem-solving skills

• Professional, self-motivated, strong work ethic, driven to meet performance goals

• High degree of accountability, integrity, utmost confidentiality in all company matters

Responsibilities:

• Maintains schedules for meetings, hearings, trials, arbitrations, and depositions

• Drafts and edits legal documents such as forms, contracts, and general correspondence

• Understands and uses correct legal terminology, standard formats, and procedures to prepare documents

• Conducts legal research, fact-finding, data collection, and analysis

• Manages, organizes, and archives agreements with a contracts lifecycle management system

Benefits:

• Competitive salary and stock options

Education Requirements:

• Graduate degree (MPhil or PhD) in Computer Sciences, Computer Engineering, Mathematics, or related technical fields

Experience Requirements:

• Experienced in Natural Language Processing, Computer Vision or Speech Processing

• Familiar with programming languages such as Python and advanced knowledge on deep learning frameworks such as Pytorch, Tensorflow or Jax

• Strong publication record in top conferences (ACL, EMNLP, NeurIPS, ICML, AAAI, IJCAI, Interspeech, ICASSP etc.)

• Experienced in Dialogue Systems both Task-Oriented and Chit-Chat using Neural Models

Other Requirements:

• Excellent written and verbal technical communication skills in English

Responsibilities:

• Collaborate with other researchers and platform engineers to help invent, implement, and connect sophisticated algorithms

• Conduct research in Natural Language Processing (NLP) and Machine Learning (ML), preferably using Deep Learning, while being connected with the engineering team