AI Jobs

Education Requirements:

• BS in Computer Science, Electrical Engineering, Machine Learning, or related technical field

• MA/PhD

Experience Requirements:

• 6 years of experience (BS) or 4 years of experience (MA/PhD)

• 3+ years building production-ready ML infrastructure

Other Requirements:

• Proficiency in one or more modern programming languages such as Python, C++, or Java

• Strong expertise in Python data science stack (NumPy, Pandas) and ML/DL frameworks

• Solid understanding of software engineering best practices: version control (Git), unit testing, code review, and CI/CD

• Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes)

• Development experience in a cloud service environment such as Amazon AWS, MS Azure, or Google Cloud Platform

Responsibilities:

• Collaborate with AI Scientists to understand model requirements and design scalable, efficient ML pipelines

• Build and maintain reliable, performant infrastructure for data processing, model training, evaluation, and deployment

• Own the end-to-end implementation of ML systems from research prototypes to production-grade code

• Optimize model training/inference, latency, and resource usage

• Develop monitoring, observability, and CI/CD tooling

Experience Requirements:

• Extensive practical experience in manufacturing custom harnesses for automotive or similar applications.

• Demonstrated expertise in sealed and un-sealed connectors, including but not limited to TE, Amphenol, Molex, Yazaki, Aptiv, Delphi, etc…

• Hands-on proficiency in wire stripping, crimping, splicing, and harness dressing to a class 2 of IPC/WHMA-620 standard.

• Practical experience with wiring tailored to various communication protocols such as CAN, Serial, LIN, RF, and Ethernet.

• Ability to interpret electrical schematics generated from CAD tools like Altium, Cadence, Kicad, or similar software.

Other Requirements:

• Skilled in using hand and power tools, as well as workshop equipment like drill presses, band saws, etc.

• Proven experience with task tracking tools such as JIRA, Asana, Monday, or similar platforms.

• Comfortable working with Linux OS and using Linux command lines.

• Must be fluent in English, both spoken and written.

• Willingness to travel domestically and internationally up to 10%.

Responsibilities:

• Manufacturing, validating, and integrating 1st harness articles on next-gen vehicles.

• Interacting daily with engineers.

• Designing complex harnesses that meet automotive-quality standards.

Experience Requirements:

• Strong software engineering skills in C, C++, or Python (production-quality code)

• Deep understanding of modern robotics control systems

• Experience with learning-based control or policy optimization for real-world systems

• Comfort working close to hardware and real-time constraints

Responsibilities:

• Design and implement learning-based control approaches (imitation learning, reinforcement learning, hybrid MPC + learning)

• Reduce dependence on hand-tuned control parameters through data-driven methods

• Integrate learned controllers into the existing vehicle control stack safely and incrementally

• Define interfaces between classical control (MPC, PID, state estimation) and learning-based components

• Establish validation criteria for learned control policies before real-vehicle deployment

Experience Requirements:

• 4+ years of professional full-stack development (Python + React/TypeScript)

• Strong backend fundamentals: REST API design, authentication, database modeling

• Production AWS experience (Lambda, EC2, S3, DynamoDB, or comparable services)

• DevOps experience: CI/CD pipelines, deployment automation, and production operations

• Demonstrated ability to own and ship products end-to-end with minimal oversight

Other Requirements:

• Comfortable working in office in Palo Alto, CA

Responsibilities:

• Own the architecture and development of customer-facing dashboards and internal tools

• Consolidate and harden a landscape of full-stack applications into maintainable, well-tested production services

• Define and enforce engineering standards: API design, code quality, testing, CI/CD, and deployment practices

• Build and maintain backend services in Python and Node.js on AWS

• Develop responsive frontend experiences in React with TypeScript

Experience Requirements:

• 2+ years in MLOps / Infra / ML Platform

• Deep experience with PyTorch, CUDA-aware workflows

• Strong Linux + systems fundamentals

• Proven experience deploying models at scale (not just notebooks)

Responsibilities:

• Design and operate end-to-end ML infrastructure: training, evaluation, deployment, monitoring

• Build CI/CD for ML (model versioning, promotion, rollback, canarying)

• Own model observability: drift detection, performance regression, data health

• Optimize GPU utilization across training and inference (on-prem + cloud)

• Support edge deployment (Jetson / Orin / x86 + GPU)

Experience Requirements:

• Extensive commercial experience (10+ years preferred) in Partnerships, Alliances, or Enterprise Sales

• Proven track record of building and managing alliances with Global and Regional System Integrators (GSI/RSI)

• Established professional network within the North America and EMEA partner ecosystem

• Deep expertise in developing channel strategies and commercial planning

• Experience within the B2B SaaS or Consulting sectors

Other Requirements:

• Ability to mobilize internal and external teams to achieve long-term success

• Highly commercial and results-focused

• Passionate about creating tangible value through deep collaboration

Responsibilities:

• Develop, manage, and expand partnerships with GSI and RSI across the EMEA market

• Create and deploy data-driven Go-to-Market strategic plans and channel strategies

• Own the partnership pipeline and drive revenue-generating activities

• Build high-trust relationships with key partner stakeholders at all levels

• Integrate partner efforts across Sales, Marketing, and Customer Success teams

Benefits:

• Competitive Salaries + Company Stock Options

• Flexible Schedule

• Unlimited PTO + 10 Company Paid Holidays

• 401k with Employer Contribution

• Medical, Dental, and Vision Insurance

Experience Requirements:

• Experience with task tracking or project management tools such as Asana or Jira

• Proven ability to manage multiple projects across multiple clients

• Experience owning post-sale customer implementations from kickoff through go-live

• Strong communication, organization, and problem-solving abilities

• Proactive and self-motivated mindset

Other Requirements:

• Greater Boston area resident

• Open to hybrid schedule (3 days in office)

Responsibilities:

• Serve as the main point of contact during initial implementation

• Motivate the project team, remove obstacles, and drive progress

• Collaborate with senior management to align project initiatives

• Establish and maintain strong relationships with internal and external stakeholders

• Host weekly project stakeholder meetings

Benefits:

• Competitive salary and stock options

• Unlimited PTO + 10 company holidays

• 401k with 3% company contribution

• Medical, dental, and vision insurance

• 12 weeks fully paid parental leave

Experience Requirements:

• Led a Professional Services or Implementation team at a SaaS company

• Managed implementation engineers and project managers

• Directly led $50k-$200k implementation projects

• Worked on integrations where APIs had to be designed and built

• Clear communication and decision-making in ambiguous situations

Other Requirements:

• Based in Boston area

• Open to hybrid schedule (3 days in office)

Responsibilities:

• Define how Professional Services operates and create playbooks

• Oversee onboarding and implementation projects from kickoff through go live

• Manage 3 Project Managers and 4 Implementation Engineers

• Act as the escalation point for technical and project decisions

• Partner with Sales, Customer Success, Product, and Engineering

Benefits:

• Competitive salary and stock options

• Unlimited PTO + 10 company holidays

• 401k with 3% company contribution

• Medical, dental, and vision insurance

• 12 weeks fully paid parental leave

Experience Requirements:

• Run paid demand gen end-to-end at a B2B SaaS company

• Generated multi-million dollars in pipeline from SQLs each quarter

• Hands-on with AI-native tools and lead magnet building

• Ability to move quickly from idea to execution

• Strong judgment and independent operation

Other Requirements:

• Based in Boston area

• Open to hybrid schedule (3 days in office)

Responsibilities:

• Lead strategy and execution across paid channels

• Build AI-driven lead magnets independently using AI-powered tools

• Design demand generation programs anchored in paid acquisition

• Track paid performance and ROI against pipeline targets

• Partner across Marketing and Sales to align go-to-market priorities

Experience Requirements:

• SaaS metrics fluency (ARR, NDR, CAC, LTV, etc.)

• Built operating models from scratch

• Startup experience at Series A or B stage

• Exceptional attention to detail

• Based in Boston

Other Requirements:

• Reliable and curious mindset

• Ability to communicate financial concepts to non-finance people

Responsibilities:

• Build and maintain the operating model and budget

• Track and report on SaaS metrics and prepare board materials

• Oversee accounting, month close, AP/AR, and billing

• Calculate and manage variable compensation and partner commissions

• Serve as a thought partner to the CEO on financial decisions

Benefits:

• Top-tier cash + equity

• Medical, dental, and vision coverage

• Fully covered lunches and dinners

• High ownership environment with rapid growth

• Opportunity to shape the future of AI in freight

Experience Requirements:

• 3–6+ years of professional software engineering experience

• Clear ownership of complex, production-critical systems

• Hands-on experience with AI-driven systems

Other Requirements:

• Strong command of TypeScript, Node.js, and REST API design

• Based in Chicago with willingness to travel 20–30%

• Exceptional communication and judgment

Responsibilities:

• Lead technical delivery for customer implementations

• Architect and build workflows encoding customer processes

• Develop core platform components and integration tooling

• Navigate complex environments and fragmented data

• Provide field insight to product and engineering

Benefits:

• Top-tier cash + equity

• Medical, dental, and vision coverage

• Fully covered lunches and dinners

• High ownership environment with rapid growth

• Opportunity to shape the future of AI in freight

Experience Requirements:

• 3–6+ years of professional software engineering experience

• Clear ownership of complex, production-critical systems

• Hands-on experience with AI-driven systems

Other Requirements:

• Strong command of TypeScript, Node.js, and REST API design

• Based in Chicago with willingness to travel 20–30%

• Exceptional communication and judgment

Responsibilities:

• Own customer deployments end-to-end

• Work directly with operators to understand workflows

• Build production features and integrations

• Diagnose and resolve issues in the field

• Travel 20–30% to customer sites nationwide

Benefits:

• Top tier cash and equity compensation

• Competitive benefits: Medical, dental, and vision

• Vibrant Office Cultures

• High-velocity growth

Experience Requirements:

• 1-3 years of experience in an entrepreneurial product or customer-facing role

Other Requirements:

• Technical Aptitude with AI configuration and prompting

• Problem-Solving & Detail Orientation

• Process Driven

• Startup Mentality

Responsibilities:

• Support Use Case Definition

• Develop Sales Assets

• Execute Proof of Concepts (POCs)

• Document and Organize successful deployment playbooks

• Facilitate the Feedback Loop between customers and Product

Benefits:

• Top tier cash and equity compensation

• Competitive benefits: Medical, dental, and vision

• Vibrant Office Cultures

• High-velocity growth

Experience Requirements:

• 1-3 years of experience in an entrepreneurial product or customer-facing role

Other Requirements:

• Technical Aptitude with AI configuration and prompting

• Problem-Solving & Detail Orientation

• Process Driven

• Startup Mentality

Responsibilities:

• Support Use Case Definition

• Develop Sales Assets

• Execute Proof of Concepts (POCs)

• Document and Organize successful deployment playbooks

• Facilitate the Feedback Loop between customers and Product

Benefits:

• Flexible & remote work

• Medical, dental & vision plan

• 22 vacation days per year

• Full paid sick-leave

• 401 (k) retirement plan

Experience Requirements:

• Experience with robotics, industrial automation, or commissioning

• Basic experience with Linux OS, Docker and Git

• Basics in scripting programming languages (Bash, Python)

• Basic software knowledge: logs, system states, network configuration

Other Requirements:

• Willingness to travel for around 50-60% of the time

• Valid US work authorization

• Valid driver’s license

Responsibilities:

• Commission and configure Gideon’s AMR systems

• Set up the environment (charging stations, network, and infrastructure)

• Conduct functional testing and log analysis

• Provide on-site customer training and knowledge transfer

• Troubleshoot and resolve system malfunctions

Benefits:

• Flexible & remote work

• Medical, dental & vision plan

• 22 vacation days per year

• Fully paid sick-leave

• 401 (k) retirement plan

Education Requirements:

• BSc or MSc in Software Engineering, Robotics, Computer Science, or equivalent

Experience Requirements:

• +2 years of experience in robotics, automation, or industrial control systems

• Proficiency in troubleshooting and repairing mechanical, electrical, and software issues

• Good knowledge of electrical instruments and mechanical tools

• Basic knowledge of Linux OS and Bash

Other Requirements:

• Willingness to travel across the USA

• Valid driver's license and a valid passport

Responsibilities:

• Provide technical and functional support & troubleshooting

• Perform installation, maintenance, and support at customer sites

• Collaborate with Engineering team on test plans and problem analysis

• Provide hands-on training to client personnel

• Perform scheduled maintenance on mobile robots

Education Requirements:

• Bachelor’s or Master’s in a STEM field

Experience Requirements:

• Strong fundamentals in data science, statistics, or machine learning coursework

• Real-world experience via internships, research, industry work, or project work

Other Requirements:

• Strong communication skills

• Motivated and self-driven

• Excited to become an expert practitioner of cutting-edge AI models

Responsibilities:

• Support technical success for enterprise customers adopting the Kumo platform

• Design prototypes for recommendations, forecasting, and fraud detection

• Work with large-scale relational datasets and customer pipelines

• Collaborate with Kumo engineering and research teams

• Deliver demos and workshops to data scientists and business leaders

Benefits:

• Competitive Base salary + performance based bonus + stock award eligibility

• Health insurance, dental, vision

• PTO and Flexible working hours and remote work options

• Opportunities for professional growth and development

• Company offsites and team events

Experience Requirements:

• Repeatedly sold into operations, supply chain, logistics, or industrial verticals

Other Requirements:

• High agency and comfortable moving fast in a high-growth environment

• Deep alignment with our mission and ethos

• Singularly focused on delivering client solutions

• Pre-wired with a "no task is too small" and "no aspiration is too big" mindset

Responsibilities:

• Open doors

• Close deals

• Build the systems that make both happen

Benefits:

• Base salary + bonus compensation + stock award eligibility

• Health insurance, dental, vision, PTO days

• Flexible working hours and remote work options

• Opportunities for professional growth and development

• A collaborative and innovative work environment

Education Requirements:

• Bachelor’s degree is a plus

• An associate degree and/or an equivalent level of education plus experience is also acceptable

Experience Requirements:

• 5+ years’ experience in field project execution

Other Requirements:

• Familiarity with CAD software (Fusion 360 preferred)

• Proficiency in Google Workplace, Monday.com, Microsoft Office

• Excellent problem-solving, organizational, analytical, and decision-making skills

• Strong communication and interpersonal skills

• Valid driver’s license and good driving record

Responsibilities:

• Oversee and execute all onsite aspects of assigned field projects

• Collaborate/communicate with customers, field service managers, field service engineers, and other stakeholders

• Monitor project progress and adjust as necessary

• Conduct on-site investigations and analyze data

• Prepare and review project documentation

Experience Requirements:

• 8+ years in applied AI / ML technologies

• 2+ years leading teams (hiring, mentorship, performance management)

• Deep experience with time-series ML at scale

• Proven track record of shipping and operating AI / ML solutions in production

• Strong Python and engineering fundamentals

Other Requirements:

• Strong communication, comfortable working directly with customers and cross-functional teams

• Experience with frequency-domain time-series techniques and control/optimization methods

• Robotics and / or Industrial domain experience (bonus)

• Experience contributing to IP strategy, invention disclosures, and patent filings (bonus)

Responsibilities:

• Own the end-to-end lifecycle: problem framing, data readiness, modeling, deployment, monitoring, and iteration

• Define and execute roadmap areas like anomaly/event detection, asset/process health, and root-cause support

• Build scalable foundations for baselines, drift detection, model observability, and incident response

• Partner with industrial customers and SMEs to translate process constraints into ML/optimization solutions

• Lead and mentor DS talent, set processes, frameworks, and quality standards