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Machine Learning Engineer
Train and deploy private, cost-effective custom AI models across cloud and edge devices in minutes to boost business intelligence and reduce infrastructure costs.
Benefits:
Competitive Salaries
Company Stock Options
Health, Vision & Dental Coverage
Learning & Development
Flexible Work Hours
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Backend (Ruby) Software Engineer
Protect homes and monitor senior safety without invasive cameras using Wi-Fi mesh sensing technology that detects human motion and activity through walls.
Benefits:
A multicultural environment that promotes a healthy work-life balance
An attractive remuneration package
15 days of annual leave
A talented team from all over the world to work with
Working with cutting-edge IoT and Smart Home technologies (Matter, Thread, Wi-Fi Sensing)
Experience Requirements:
Experience in writing working software in Ruby (Ruby on Rails)
Work experience with Scala (or Java, or Kotlin used for server-side applications)
Passionate about high-quality software products
Used SQL and you may even like it
Hands-on experience with Kafka and stream processing
Other Requirements:
Effective communicator in English (written and verbal)
Able to adapt quickly to changing requirements and work with a bit of ambiguity
You know your way around Linux
Responsibilities:
Design, develop, and maintain our cloud system with the focus on availability, security, low latency
Design and implement automated software tests
Collaborate closely with firmware and mobile developers to deliver a great experience to our customers
Take responsibility for the operations of the software in production
Improve and clean up our codebase whenever there is an opportunity
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DevOps On-Prem Deployment Specialist
Protect regulated data and detect deepfakes with on-premise Small Language Models designed for healthcare, finance, and defense organizations seeking zero-trust security.
Experience Requirements:
At least 3 years of overall DevOps experience
2+ years with GCP, Microsoft Azure, or AWS
2+ years with Docker in production environments
2+ years of Linux system administration and shell scripting
2+ years deploying Python applications to production
Other Requirements:
Solid understanding of networking fundamentals and firewall configurations
2+ years working with Git
Independent problem-solving skills
Ability to research unfamiliar technologies and figure out how to make them work in production
Responsibilities:
Design and implement deployment pipelines for Python Ray projects across cloud and on-premises
Build and maintain infrastructure for local air-gapped and regulated deployments
Develop containerized solutions optimized for local deployment scenarios
Research and deploy confidential computing technologies
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Founder’s Associate
Optimize regenerative agriculture and monitor soil health at scale using foundational geospatial AI to predict crop yields, track maturity, and mitigate risks.
Benefits:
Direct Impact: Work side-by-side with the CEO
Pioneer AI: Join a world-class geospatial AI team
Accelerated Growth: Build a strong profile in the AI sector
Category-Defining Product: Help shape the platform
Flexibility: Hybrid/remote-friendly setup, with optional travel
Experience Requirements:
2–5 years of experience in a fast-paced, customer-facing role
Experience in Product Management, Consulting, Operations, or a Technical role
Other Requirements:
Technical Fluency: Grasp of AI/ML concepts
Passion for Impact: Enthusiasm for sustainability and climate tech
Stakeholder Management: Exceptional communication skills
Startup DNA: Scrappy, proactive, and comfortable with ownership
Growth Mindset: Excited to build and learn fast
Responsibilities:
Strategic and Operational Support for the CEO
Own key customer relationships and account health
Translate complex user needs into actionable product requirements
Produce proposals, commercial documents, and reports
Technical Communication: Break down complex AI concepts simply
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Front-End Developer
Accelerate machine learning development with high-quality, human-curated datasets across image, video, and speech for developers and enterprise AI teams.
Benefits:
Collaborative and innovative work environment
Opportunities for professional growth
Competitive salary and benefits package
Flexible work hours
Remote working options
Education Requirements:
Bachelor's degree in Computer Science or related field
Experience Requirements:
0-3 years of experience in front-end development
Other Requirements:
Proficiency in HTML, CSS, and JavaScript
Experience with React, Angular, or Vue.js
Familiarity with Git and version control
Understanding of SEO principles
Responsibilities:
Develop and maintain user-facing features
Ensure the technical feasibility of UI/UX designs
Optimize applications for speed and scalability
Collaborate with team members and stakeholders
Write reusable code and libraries for future use
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Full Stack Developer
Accelerate machine learning development with high-quality, human-curated datasets across image, video, and speech for developers and enterprise AI teams.
Benefits:
Competitive salary and benefits package
Opportunities for professional growth
Collaborative and inclusive work environment
Access to cutting-edge technologies
Remote work options
Education Requirements:
Bachelor's degree in Computer Science or related field
Experience Requirements:
0-2 years of experience in full stack developer
Other Requirements:
Proficiency in HTML, CSS, JavaScript
Strong understanding of Node.js, Python, or PHP
Experience with database technologies like MySQL or MongoDB
Knowledge of Agile development methodologies
Responsibilities:
Design, develop, and maintain web applications
Collaborate with cross-functional teams
Ensure the technical feasibility of UI/UX designs
Optimize applications for maximum speed
Write clean, maintainable, and efficient code
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Senior Full Stack Software Engineer
Unlock the value of your AI investments while managing risk with a centralized management system designed for health systems to measure ROI and ensure safety.
Education Requirements:
Bachelor's degree in Computer Science or equivalent practical experience.
Experience Requirements:
5+ years of software development experience.
2+ years of experience shipping user-facing products.
Hands-on experience with AI coding tools (e.g. Claude) and a strong willingness to integrate them into daily workflows.
Experience with TypeScript, React, Chart.js, Java 21, Spring Boot, Postgres, or any equivalent modern technologies.
Experience in startup environments and shipped products from 0 to 1.
Other Requirements:
Strong system design and software architecture skills.
Strong problem-solving skills and ability to work with ambiguity.
Passionate about great user experiences and data visualization.
Pragmatic mindset prioritizing speed and business impact.
Prior experience in working with AI and/or in healthcare.
Responsibilities:
Build and evolve the frontend and backend of the Signal 1 AI Management System.
Drive software architecture design and establish modern engineering practices that leverage AI-assisted development.
Break down ambiguous, high-level problems into concrete technical solutions and engineering plans.
Work autonomously and collaboratively with Product, Design, ML, Security, Infrastructure and other engineering teams.
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Controller
Streamline global advertising operations and optimize campaign performance with agentic AI that automates media planning, buying, and real-time data analysis.
Benefits:
Competitive salary
Diverse, inclusive international team
Hybrid work model
Meal vouchers (€8)
Free snacks and social events
Education Requirements:
Degree in Economics, Business Administration or similar fields
Experience Requirements:
At least 3 years of experience in a similar role
Other Requirements:
Strong knowledge of Accounting Rules (Balance Sheet and Income Statement)
Proficiency in accounting software (Oracle NetSuite/NSPB is a plus)
Fluent in Italian and English (French is a plus)
Open to travel abroad occasionally
Strong time management and organizational skills
Responsibilities:
Support in managing the full monthly, yearly, and half-yearly closing process
Support the preparation of Consolidation Financial Statement and Intercompany Reconciliation
Provide support for planning, budgeting, forecasting, and business plan preparation
Monitor and evaluate business profitability and cost control across business areas
Preparation of Monthly Management Report for Board of Directors
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Product Designer
Streamline global advertising operations and optimize campaign performance with agentic AI that automates media planning, buying, and real-time data analysis.
Benefits:
Diverse and inclusive workplace
Equal opportunity employer
Experience Requirements:
3+ years of experience in digital product environments
Other Requirements:
Expert-level mastery of Figma and modern research tools
Persuasive communicator capable of articulating design rationale
Ability to work independently as a consultant
Fully proficient in English
Previous experience in B2B SaaS environment (plus)
Responsibilities:
Shape outstanding user experiences with UI and UX designs
Lead end-to-end design of new features
Ensure customers are at the core through testing and research
Grow and improve the design system
Leverage usage data to evaluate design impact
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Senior Data Scientist - Manufacturing Data (KR)
Optimize high-volume manufacturing yields and process control by predicting outcomes with AI-driven virtual metrology and machine-generated data for fab scale.
Education Requirements:
BS/MS in Engineering, Science, or a related field
MS in Computer Science, Data Science, or related field
Experience Requirements:
3+ years of experience leading AI or data science projects in the semiconductor industry or another manufacturing field
Other Requirements:
Proficiency in data science tools: Python and SQL
Ability to work independently and as part of a team
Travel domestically to customer sites as needed (up to 20% of working hours)
Fluency in Korean
Fluency in English
Responsibilities:
Design and implement customized AI solutions for manufacturing
Analyze manufacturing data to uncover opportunities and develop AI models
Collaborate with customers to understand their requirements and deliver clear, data-driven solutions
Work closely with our internal teams to ensure solutions are feasible, scalable, and aligned with product strategy
Present findings to both technical and non-technical stakeholders
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AI Scientist - Machine Learning (US/KR)
Optimize high-volume manufacturing yields and process control by predicting outcomes with AI-driven virtual metrology and machine-generated data for fab scale.
Education Requirements:
Ph.D. or Master’s degree in Computer Science, Machine Learning, Statistics, or a related field.
Experience Requirements:
3+ years of hands-on experience in deep learning, with a strong focus on sequence modeling and time-series forecasting.
Practical experience deploying ML models in production environments, with knowledge of MLOps best practices.
Other Requirements:
In-depth expertise in Transformer architectures and their applications beyond natural language processing.
Proficiency in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX.
Solid mathematical foundation in statistics, optimization, and signal processing.
Strong publication track record in top-tier ML/AI conferences (e.g., NeurIPS, ICML, ICLR).
Responsibilities:
Design and implement Transformer-based architectures for time-series prediction and sequence modeling
Drive the full machine learning lifecycle—from exploratory data analysis to model deployment
Conduct rigorous benchmarking, ablation studies, and performance optimization
Collaborate closely with data scientists, engineers, and product managers
Partner with software engineers to scale and productize ML algorithms
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Senior AI Engineer - Machine Learning (US)
Optimize high-volume manufacturing yields and process control by predicting outcomes with AI-driven virtual metrology and machine-generated data for fab scale.
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
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Account Executive
Enhance electric grid reliability and reduce maintenance costs by 75% using vehicle-mounted AI cameras that automatically detect pole defects and inventory assets.
Benefits:
Competitive Compensation: Attractive salary, equity options, and a comprehensive benefits package
Impact: Be part of a company that’s directly impacting the future of energy
Growth: Opportunities for personal and professional development
Collaborative Team: Open, supportive environment where innovation is at the forefront
Flexible Work Environment: Hybrid work schedule allowing for remote and in-person collaboration
Experience Requirements:
5+ years of experience in B2B sales
Proven track record in the energy or utilities sector
Experience in selling hardware-enabled technologies, SaaS, and/or AI-driven solutions
Demonstrated success in managing complex sales cycles and closing deals with large, enterprise-level clients
Proven ability to build and maintain relationships with senior decision-makers in the utility sector
Other Requirements:
Familiarity with energy industry, grid modernization, asset management, and smart grid technologies
Strong verbal and written communication skills
A strong understanding of technology and ability to communicate the value of AI-powered solutions
Comfortable using CRM tools like HubSpot or Salesforce
Willingness to travel as needed for client meetings, industry events, and conferences
Responsibilities:
Lead Sales Growth: Drive customer acquisition by targeting utilities across North America
Foster Relationships: Build and maintain long-term relationships with utility decision-makers
Manage the Sales Cycle: Own the end-to-end sales process from engagement to closure
Collaborate Across Teams: Work with product and technical teams to ensure smooth transition to implementation
Attend Industry Events: Represent Noteworthy AI at key trade shows and conferences
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Senior Mechanical Engineer, Vehicle Integration & Validation
Retrofit heavy construction equipment with supervised autonomy to enable remote operation, improving safety and efficiency for operators in hazardous environments.
Education Requirements:
Bachelor’s or Master’s degree in Mechanical Engineering, Mechatronics, or a closely related field
Experience Requirements:
7+ years of experience in mechanical, mechatronics, or vehicle systems engineering roles
Demonstrated ownership of complex, multi-disciplinary hardware systems from architecture through deployment
Strong experience designing systems for harsh environments (automotive, construction, aerospace, military, or similar)
Experience defining and executing environmental and regulatory qualification strategies (IP, thermal, shock/vibration, EMI/EMC)
Extensive experience integrating high-power compute platforms in vehicle environments
Other Requirements:
Deep understanding of harness architecture, connector selection, grounding, shielding, and power distribution
Experience integrating perception sensors (cameras, LiDAR)
Strong CAD proficiency and experience managing BOMs and lifecycle processes
Ability to operate autonomously and influence cross-functional engineering decisions
Ability and willingness to travel within the United States (~10%)
Responsibilities:
Lead system-level integration architecture for new vehicle platforms
Define scalable, reusable integration frameworks across equipment types.
Design and review mechanical structures, enclosures, and compute integration strategies
Own environmental qualification strategy (IP, thermal, shock/vibration, EMI/EMC)
Guide sensor and high-power compute integration in demanding environments
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Founding Full Stack Engineer (Frontend Focus)
Reduce the time spent on legal correspondence by 50% using an AI-powered email assistant designed for law firms, paralegals, and solo practitioners.
Benefits:
Competitive salary
Meaningful equity package
Experience Requirements:
3-5+ years of professional software engineering experience
Strong proficiency in React + TypeScript
Other Requirements:
Experience building modern, component-based web applications
Curiosity about browser extensions and/or Office Add-ins
Experience with AI coding tools (e.g., Cursor, Claude Code)
Excellent communication skills
Responsibilities:
Build and enhance React-based front-end stack
Implement reusable React components
Create abstraction layers to maximize code reuse
Iteratively improve UX based on customer feedback
Implement automated UI testing
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Senior AI & Data Engineer
Optimize industrial operations and ensure global scalability with custom AI solutions that provide full algorithm ownership and ISO 27001-certified security.
Benefits:
Horaires de travail flexibles
Team building
Afterworks
Déjeuners d'équipe
Education Requirements:
Bac +5 / Master
Experience Requirements:
5+ years in Data & AI engineering
Proven track record of deploying Data workflows & AI systems in production
Other Requirements:
Proficiency in Python
Hands-on experience developing agentic solutions
Experience with API design and developmen t
Familiar ity with a major data or cloud platform (GCP, AWS, Azure, etc.)
Fluen t in English
Responsibilities:
Contr i b u t e t o c l i e n t p r o j e c t s d e l i v e r y f r o m s c o p i n g t o d e p l o y m e n t
Und e r s t a n d c l i e n t b u s i n e s s c h a l l e n g e s a n d t r a n s l a t e t h e m i n t o t e c h n i c a l r e q u i r e m e n t s
Ass e s s t h e d a t a e c o s y s t e m a n d p r o p o s e o p t i m a l a p p r o a c h e s
Col l a b o r a t e w i t h s o f t w a r e e n g i n e e r s t o d e f i n e a r c h i t e c t u r e
Sk e t c h p r o t o t y p e s a n d t u r n t h e m i n t o p r o d u c t i o n - g r a d e s y s t e m s
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Senior Machine Learning Engineer (Computer Vision)
Generate centimeter-accurate 3D building measurements 90% faster than manual methods using AI-powered drone analysis for solar, roofing, and construction firms.
Benefits:
Opportunity to lead the AI roadmap
Collaborative and pragmatic engineering culture
Direct collaboration with the CTO
Flexible hybrid setup
Experience Requirements:
5+ years of experience in applied Machine Learning
3+ years in computer vision
Other Requirements:
Experience with PyTorch, TensorFlow, OpenCV, and Python
Understanding of CNNs and vision transformers
Experience with training pipelines and hyperparameter optimization
Familiarity with model deployment (FastAPI, TorchServe, etc.)
Experience with GCP and Docker
Responsibilities:
Lead model development for computer vision and 3D tasks
Evaluate and integrate pre-trained models
Train and fine-tune models on in-house datasets
Deploy models to production
Maintain and monitor production models
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Implementation Manager / Sr. Implementation Manager
Drive distribution growth by identifying at-risk accounts and uncovering missed sales opportunities with an AI-powered CRM designed for wholesale distributors.
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
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Professional Services Manager (Implementation & Integrations)
Drive distribution growth by identifying at-risk accounts and uncovering missed sales opportunities with an AI-powered CRM designed for wholesale distributors.
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
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Senior Manager, Demand Generation
Drive distribution growth by identifying at-risk accounts and uncovering missed sales opportunities with an AI-powered CRM designed for wholesale distributors.
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
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