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Machine Learning Engineer Intern
Automate high-stakes decision-making with 99%+ precision using neurosymbolic AI that provides full audit trails and consistent results for regulated industries.
Benefits:
Mentorship from world-class researchers
Hybrid working (3 days in-office expectation)
Free team lunches (Tue-Thu)
Optional social activities
Annual international offsite
Education Requirements:
Strong background in machine learning, LLMs, NLP, or related fields
Experience Requirements:
Experience with research methodologies and experimental design
Proficiency in Python
Other Requirements:
Must have the right to work in the UK
Ability to work from 08/06/2026 to 28/08/2026
No visa sponsorship available
Responsibilities:
Conduct original research in AI/NLP
Develop and implement novel algorithms and models
Analyse experimental results
Contribute to research publications
Present findings to the research team
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Software Engineer Intern
Automate high-stakes decision-making with 99%+ precision using neurosymbolic AI that provides full audit trails and consistent results for regulated industries.
Benefits:
Mentorship from industry experts
Technical talks
Hybrid working (3 days in-office expectation)
Free team lunches (Tue-Thu)
Optional social activities
Education Requirements:
Strong foundation in computer science fundamentals
Experience Requirements:
Experience with programming languages such as Python or TypeScript
Other Requirements:
Must have the right to work in the UK
Ability to work from 08/06/2026 to 28/08/2026
No visa sponsorship available
Responsibilities:
Design, build, and deploy features for core products
Collaborate with product managers, designers, and researchers
Write clean, maintainable code
Participate in code reviews
Contribute to architectural decisions
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Junior Software Engineer
Automate high-stakes decision-making with 99%+ precision using neurosymbolic AI that provides full audit trails and consistent results for regulated industries.
Benefits:
Hands on mentoring and support
Exposure to full lifecycle (Backend, Frontend, DevOps)
Hybrid working (3 days in-office expectation)
Work with proprietary neurosymbolic technology
Collaborative world-class team
Education Requirements:
Degree in Computer Science, Mathematics or Engineering (or other STEM degrees)
Experience Requirements:
Demonstrable capability at programming with Python
Other Requirements:
Bias for action
Natural tendency to take the initiative and make decisions
Responsibilities:
Develop novel neurosymbolic solutions
Work closely with research engineers and scientists
Contribute to fundamental research problems
Build production systems used by major institutions
Apply and develop skills across the full software engineering lifecycle
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Technical Product Manager
Automate high-stakes decision-making with 99%+ precision using neurosymbolic AI that provides full audit trails and consistent results for regulated industries.
Benefits:
Hybrid working arrangement (3 days in office encouraged)
Free team lunches every Tuesday, Wednesday and Thursday
Optional social and extra-curricular activities
Annual international offsite
Work on novel neurosymbolic AI platform
Education Requirements:
Technical degree (computer science, engineering, or related)
Experience Requirements:
4+ years in technical product management roles in enterprise software/SaaS
Proven track record working with large, complex enterprise customers at scale
Deep understanding of AI and platform development
Prior experience in a technical role
Other Requirements:
Exceptional analytical and systematic thinking
Strong communication skills
Ability to challenge senior leadership constructively
Right to work in the UK (inferred from general company status)
Responsibilities:
Lead customer discovery with enterprise clients
Define product vision and roadmap for developer platform
Set realistic requirements based on deep technical understanding of AI
Manage complex stakeholder dynamics across engineering, sales, and research
Create rigorous product documentation (PRDs, specs, strategy documents)
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Principal Product Manager
Automate high-stakes decision-making with 99%+ precision using neurosymbolic AI that provides full audit trails and consistent results for regulated industries.
Benefits:
Hybrid working (3 days in office encouraged)
Free team lunches every Tuesday, Wednesday and Thursday
Variety of optional social and extra-curricular activities
Annual international offsite
Collaborative world-class team environment
Experience Requirements:
7–10+ years in product leadership roles
Proven success in high-stakes or regulated domains
Strong technical fluency in AI/ML fundamentals
Track record of launching and scaling impactful enterprise or infrastructure products
Success creating product strategy in highly ambiguous environments
Other Requirements:
Analytical, structured thinker
Excellent leadership and people skills
Entrepreneurial mindset with a bias for action
Responsibilities:
Define and evolve the product vision and roadmap
Translate cutting-edge technology into user-centric product experiences
Identify and validate scalable opportunities in regulated markets
Act as the “CEO of the product” ensuring strategic alignment
Establish robust product management practices across prioritisation and planning
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Register your interest
Automate high-stakes decision-making with 99%+ precision using neurosymbolic AI that provides full audit trails and consistent results for regulated industries.
Benefits:
Hybrid working scheme
Salary
Generous share options (EMI scheme)
Team days and face-to-face meetings
Experience Requirements:
Exceptional talent and motivated individuals
Ability to bring fresh perspectives and new ideas
Other Requirements:
Willingness to tackle difficult technical problems
Responsibilities:
Contribute to the company success and growth
Make a difference in Artificial Intelligence accuracy and safety
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Technical Partner Manager
Achieve safer autonomous driving with explainable 4D predictive perception software that captures full motion of any object for verifiable vehicle safety.
Education Requirements:
BS/BA in engineering, computer science, robotics, physics, mathematics, or a similar field
Experience Requirements:
3-5+ years experience as a sales engineer, field engineer, or technical account manager
3+ years of account management, business development, or strategic partnerships
Experience successfully collaborating with C-suite executives in high-growth startups
Proven track record in team leadership and project management
Experience in robotics or software engineering
Other Requirements:
Excellent critical thinking and problem-solving skills
Ability to collaborate with global cross-functional teams
Experience in strategy consulting or investment banking (Extra Credit)
Responsibilities:
Serve as the primary point of contact and technical expert for partner management matters
Develop and maintain trusted advisor relationships with key partners and stakeholders
Oversee and implement projects from start to finish
Manage and communicate progress of monthly/quarterly initiatives
Proactively identify upsell, cross-sell, and renewal opportunities
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Simulation Engineer
Achieve safer autonomous driving with explainable 4D predictive perception software that captures full motion of any object for verifiable vehicle safety.
Education Requirements:
BS degree in a relevant engineering program
M.S or Ph.D. preferred
Experience Requirements:
Excellent programming skills (C/C++/Python)
Experience with the Unreal engine
Project experience aligned to simulation, autonomous vehicles, or robotics
Skilled in working with middleware development (e.g., ROS/ROS2)
Proficient in working with cloud technologies (AWS, GCP, Azure)
Other Requirements:
Strong understanding of physics, mathematics, and software development principles
Strong background with computer graphics
Authorized to work in the United States
Start-up DNA
Responsibilities:
Design, develop, and maintain autonomous driving simulation platforms
Implement realistic vehicle, sensor, and environmental models
Design and execute simulation experiments to validate algorithms
Collaborate with cross-functional teams to integrate simulation tools
Analyze simulation results to provide insights for system improvement
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Robotics System Engineer
Achieve safer autonomous driving with explainable 4D predictive perception software that captures full motion of any object for verifiable vehicle safety.
Experience Requirements:
7+ years of engineering experience
Deep knowledge of architecting large-scale software/hardware systems at the edge
Experience gathering customer requirements and generating system-level requirements
Prior work creating software and hardware tests for system verification
Experience creating metrics pipelines and data analysis tools in Python
Other Requirements:
Knowledge of complete software stack architecture of autonomous systems
Experience engaging with customers to deliver products
C++ software development in large codebases
Responsibilities:
Meet with customers to understand needs and generate requirements
Collaborate with engineering to develop system architectures
Support the team in deriving component and performance requirements
Create tests and testing pipelines for rapid iteration
Identify new product opportunities to excite customers
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Motion Planning Engineer
Achieve safer autonomous driving with explainable 4D predictive perception software that captures full motion of any object for verifiable vehicle safety.
Education Requirements:
Strong foundational technical skills in mathematics, physics, and engineering
Experience Requirements:
Deep knowledge of modern motion planning including sample base and trajectory planning
Experience implementing motion planning methods in software on a robotic platform
Experience developing in multiple large, complex C++ codebases
Experience with ROS, OpenCV, ROS2, and/or QNX
Other Requirements:
Ability to design software testing suites for robust motion planning
Enjoy learning from others and sharing knowledge
Remote candidates in North America considered
Responsibilities:
Draw on advancements in motion planning to create novel advanced algorithms
Algorithm design, software implementation, and testing
Verification and validation through in-field testing and evaluation
Work with other engineers to identify required stack capabilities
Deliver an end product that exceeds customer expectations
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ML Infrastructure Engineer
Achieve safer autonomous driving with explainable 4D predictive perception software that captures full motion of any object for verifiable vehicle safety.
Experience Requirements:
2+ years of software engineering experience in ML Infrastructure, Data Engineering, or Platform Engineering
Experience in architecting data engineering solutions for small teams (1-20 ppl)
Production ML experience with model conversion/optimization or deployment on specialized hardware
Knowledge of workflow orchestration pipelines (Argo, Airflow, Kubernetes)
Experience with large-scale data processing systems (Spark, Databricks)
Other Requirements:
Ability to programmatically access cloud services using Python or NodeJS
Experience with Terraform or similar IAC solutions
Robotics background, C++, ROS
Experience with Google Cloud Platform
Responsibilities:
Take ownership of infrastructure for developing and deploying ML models
Architect and deploy cloud and on-prem ML training and evaluation infrastructure
Own data management pipelines from ingestion to storage and training
Modify model training code to utilize better data storage formats
Evaluate and implement software/hardware for model deployment onto vehicles
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Machine Learning Engineer: Perception and Planning
Achieve safer autonomous driving with explainable 4D predictive perception software that captures full motion of any object for verifiable vehicle safety.
Education Requirements:
Bachelor’s Degree in Computer Science, Mechanical Engineering, Electrical Engineering, or equivalent
Advanced Degrees highly preferred
Experience Requirements:
Demonstrated ML Engineering experience developing Computer Vision or other models
Production experience with Deep Learning models (training, fine-tuning, or deployment)
Excellent software engineering skills in Python or C++
Experience with deep learning frameworks (PyTorch, JAX, TensorFlow)
Experience building models from sensor data: lidar, radar, camera
Other Requirements:
Strong analytical skills in linear algebra, geometry, and probability
Relevant industry experience with low-latency systems
Strong academic track record in machine learning evidenced by publications
Responsibilities:
Develop deep learning models for autonomy applications like object detection and classification
Research, design, and implement state-of-the-art ML algorithms
Identify or collect required datasets and implement data processing pipelines
Deliver reliable software through CI, automated testing, and code reviews
Address real-world issues encountered during tests or customer deployments
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Hardware Engineer
Achieve safer autonomous driving with explainable 4D predictive perception software that captures full motion of any object for verifiable vehicle safety.
Education Requirements:
Bachelor’s degree in mechanical engineering, electrical engineering, or a related field
Advanced degrees preferred
Experience Requirements:
5-10 years’ experience
Proven experience in hardware design for electronic systems
Experience in vendor selection, negotiation, and supervision
Proficiency in CAD software (e.g., SolidWorks, AutoCAD)
Other Requirements:
Knowledge of thermal management and EMI/EMC considerations
Experience with hardware solutions for rugged and harsh environments
Familiarity with industry standards and regulatory requirements
Responsibilities:
Design/develop custom hardware enclosure solutions for electronic systems
Utilize off-the-shelf components to create efficient hardware designs
Identify and select suitable vendors for sourcing components
Oversee and supervise vendor activities to ensure quality and delivery
Perform testing and validation of hardware solutions
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Director, Business Development & Strategic Partnerships
Achieve safer autonomous driving with explainable 4D predictive perception software that captures full motion of any object for verifiable vehicle safety.
Education Requirements:
BS/BA in engineering, computer science, business administration, economics, or a related field
Advanced degrees are a plus
Experience Requirements:
15+ years of business development and/or strategic partnerships experience
8+ years in the software industry
Proven track record of identifying, negotiating, and managing strategic partnerships
Demonstrated success in bringing new technologies to market
Experience successfully developing strategic relationships in the defense sector
Other Requirements:
Strong project management skills
Excellent interpersonal skills
Based in the SF Bay Area (Preferred)
Experience with grant writing
Responsibilities:
Drive identification and pursuit of new business opportunities in defense, mining, construction, and transit
Conduct comprehensive market research and analysis
Develop and execute innovative business strategies
Build and maintain strong relationships with key stakeholders
Negotiate and structure strategic partnership agreements
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CRM Analyst - NHL
Discover and rank thousands of AI tools across dozens of categories to streamline your workflow or boost your product's visibility with high-authority SEO links.
Education Requirements:
Bachelors or advanced degree in business, mathematics, or the sciences
Experience Requirements:
Minimum of one year experience in Business Intelligence and Analytics
Knowledge of Microsoft Dynamics CRM, KORE, Archtics, SQL, Excel, and Tableau
Experience with Salesforce Marketing Cloud, R/Python, ETL a plus
Other Requirements:
Excellent communication and analytical skills
Ability to work extended hours including holidays and weekends
Ability to work in office and arena environment
Responsibilities:
Support the tactical administration of ticketing CRM
Support initiatives to acquire and manage new fan data
Establish a healthy lead universe with sales and marketing teams
Coordinate data integration with various vendors
Identify KPIs and methods for CRM and BI strategy
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Marketing Internship at Colleague AI (Paid Position)
Enhance K-12 learning with a research-backed AI platform that automates lesson planning, grading, and tutoring while ensuring student data privacy and safety.
Benefits:
Wage: $20-$40 per hour
Hands-on startup experience
Mentorship
Full time opportunity after 3 months
Education Requirements:
Pursuing or recently completed degree in Marketing, Communications, or Education
Other Requirements:
Self-driven and able to work independently
Familiarity with K-12 education sector preferred
Strong writing and editing skills
Experience with social media platforms
Responsibilities:
Social Media Management
Content Creation (blog posts, articles)
Community Management
Email Campaign assistance
Market Research on trends
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Software Engineer (AI-Powered EdTech)
Enhance K-12 learning with a research-backed AI platform that automates lesson planning, grading, and tutoring while ensuring student data privacy and safety.
Benefits:
Salary
Benefits
Stock options
Flexible hybrid work environment
Professional development
Experience Requirements:
3+ years of experience in software development
Other Requirements:
Proficiency in JavaScript/TypeScript, Node.js, or Python
Strong database skills (SQL/NoSQL)
Experience with cloud services (AWS, GCP, or Azure)
Understanding of AI/ML concepts
Ability to use AI-enhanced coding tools
Responsibilities:
Develop and maintain scalable AI-enhanced web applications
Build and optimize AI-driven features
Design and implement backend services and APIs
Ensure system performance, security, and scalability
Collaborate with educators, designers, and engineers
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Senior Account Executive, East Region
Enhance K-12 learning with a research-backed AI platform that automates lesson planning, grading, and tutoring while ensuring student data privacy and safety.
Benefits:
Competitive base salary
Commission aligned with performance
Future equity potential
Experience Requirements:
5+ years of experience in enterprise sales, business development, or consulting
Other Requirements:
Proven results in securing district or state partnerships
Self-starter in entrepreneurial environments
Strong communicator for instructional and technical leaders
Familiarity with education policy and funding sources
Responsibilities:
Achieve Targets and sales goals
Drive Prospecting across schools and districts
Lead Strategic Outreach to superintendents and innovation leads
Manage Stakeholder Relationships to build consensus
Own the Sales Process from demos to negotiation
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Senior Account Executive, Midwest Region
Enhance K-12 learning with a research-backed AI platform that automates lesson planning, grading, and tutoring while ensuring student data privacy and safety.
Benefits:
Competitive base salary
Commission tied to meaningful impact and growth
Future equity potential
Experience Requirements:
5+ years of experience in enterprise sales, partnerships, or consulting
Other Requirements:
Strong background working with public education leaders
Comfortable operating in a fast-paced environment
Excellent written and verbal communication skills
Familiarity with Midwest-specific funding (Title I, ESSER)
Responsibilities:
Achieve Targets and regional booking goals
Drive Business Development and qualify new opportunities
Build Strategic Relationships with superintendents
Design Targeted Solutions and lead product demos
Navigate Procurement and manage complex sales processes
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Senior Account Executive, South Region
Enhance K-12 learning with a research-backed AI platform that automates lesson planning, grading, and tutoring while ensuring student data privacy and safety.
Benefits:
Competitive base salary
Commission structure aligned with impact
Future equity potential
Experience Requirements:
5+ years of experience in enterprise sales, business development, or partnerships
Other Requirements:
Proven track record of securing district partnerships
Strategic mindset with ability to execute independently
Excellent communication skills
Deep understanding of public education funding
Responsibilities:
Achieve Targets: Close deals and build pipeline
Establish Regional Presence as trusted AI partner
Build Senior Relationships with superintendents and leadership
Navigate Complex Sales Cycles and contracts
Collaborate Cross-Functionally with product and finance
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