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

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

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

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

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

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

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

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

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:

• Private Healthcare (Vitality)

• Company Bonus Scheme

• £1200 annual remote working allowance

• Enhanced Pension Scheme

• 25 days holiday plus bank holidays

Education Requirements:

• Azure certifications such as AZ-900, AZ-104 or AZ-305

Experience Requirements:

• Experience deploying and monitoring applications on the Azure platform

• Strong SQL Server skills (executing scripts, troubleshooting)

• Proficient in PowerShell scripting and automation

• Experience running and validating deployment test scripts

• Solid understanding of Azure cloud services and configuration principles

Other Requirements:

• Experience with Azure DevOps deployment pipelines

• Familiarity with Azure SQL, Virtual Machines, Function Apps, Web Apps and AI Foundry Services

• Experience with GitHub or other version control systems

• Knowledge of Office 365 and the Power Platform

Responsibilities:

• Deploy applications and update packages into Azure using predefined infrastructure

• Collaborate with development teams and customers to complete JSON/XML application configuration

• Execute and validate SQL Server scripts for database setup and management

• Run PowerShell scripts and automate elements of the deployment workflow

• Coordinate with customer IT teams to plan and troubleshoot deployments

Benefits:

• health and financial benefits

• time away

• everyday wellness

• stock grants

• commissions

Education Requirements:

• 4 Year Degree or equivalent experience

Experience Requirements:

• At least 3 years of experience in a customer-facing

• Experience in Customer Success, Account Management or a client-facing role

• Capacity for running discovery discussions

• Conscientious, have a record of accomplishment

• Previous experience in the Construction Industry - a plus

Other Requirements:

• Ability to travel up to 55%

• interpret difficult situations and help provide solutions

• Proficiency in juggling tasks, setting priorities

• Process-driven and organized

• Spanish is a plus but not required

Responsibilities:

• onboard new construction customers

• exceed target goals by maintaining a high customer retention rate

• hold regular check-in calls and executive business reviews

• monitor account well-being to detect potential churn issues

• promote and encourage the usage and adoption of the Kwant solutions

Benefits:

• Equity awarded at the 6-month mark

• Public transit pass

• Competitive Pay

• Health insurance

• Paid vacation and sick leave

Education Requirements:

• Master/Phd Required

Experience Requirements:

• Data science and technical experience

• Successful customer data implementation experience

• Demonstrable leadership skills

• Successfully partnered with Sales Leaders

Other Requirements:

• Build strong rapport and establish trust and credibility

• Strong analytical capabilities for advanced problem-solving

• Excellent written and oral communication skills

• Comfortable working in a high-growth, constantly changing environment

• Polished and professional business acumen

Responsibilities:

• Own Data Science processes end-to-end

• Collaborate with the Product and Engineering team

• Collaborate with product, engineering, and customers to standardize process

• Designing and building data pipelines infrastructure

• Take a leading part in building our research program

Benefits:

• Flexible schedules and unlimited time off

• healthcare, dental and vision coverage

• Competitive salary based on experience

• uncapped commission structure

• Public transit pass

Experience Requirements:

• enterprise SaaS sales experience

• Sales experience specifically in the construction industry is a huge plus

Other Requirements:

• excellent communicator verbally and in writing

• Assess revenue potential, build and execute on territory strategy

• Timely follow up and qualification of new prospects

• Manage and maintain accurate leads within Hubspot.com

• Develop and present hard-dollar ROI models

Responsibilities:

• onboard new construction customers

• exceed target goals by maintaining a high customer retention rate

• hold regular check-in calls, executive business reviews, and webinars

• monitor account well-being to detect potential churn issues

• promote and encourage the usage and adoption of the Kwant solutions

Education Requirements:

• Currently enrolled in Computer Engineering, Electrical and Computer Engineering, Engineering Physics, Mechatronics Engineering, or Computer Science program (any year)

Experience Requirements:

• Hands-on experience with Python and scientific libraries (NumPy, SciPy, Plotly, etc.)

• Hands-on experience with web development technologies including Go, JavaScript, HTML, and CSS

• Strong knowledge of Linux environments and bash scripting

• Strong knowledge of version control (Git/GitHub) and open-source software

• Eligible for the SWPP Program

Other Requirements:

• Experience with RF or audio signal processing theory

• Experience with design tools such as MATLAB, GNU Radio, or C/C++

• Familiarity with AI/ML principles

• Familiarity with machine learning tools (PyTorch, TensorFlow, MLOps frameworks)

• Familiarity with Docker

• Familiarity with signal processing theory (FFT, filters, linearity, noise, modulation)

Responsibilities:

• Contribute to dataset and model production pipelines that power our core products

• Contribute to development of gui elements of our web-based products

• Support research and development projects as needed

• Develop utilities and tooling in support of company projects

• Create demonstrations and demonstration collaterals of our software

Benefits:

• Innovative Environment

• Growth Opportunities

• Collaborative Culture

• Work-Life Balance

• Competitive salary and benefits

Education Requirements:

• Bachelor’s degree

Experience Requirements:

• 3-5 years of experience developing with strongly-typed languages

• Experienced in building and interacting with APIs

• Knowledge of AWS services and deployments

• Proficiency in service-oriented architectures

• Deep Knowledge of Python or TypeScript

Other Requirements:

• Located in the United States

• Knowledge of database technologies (relational and NoSQL)

• Knowledge of CI/CD processes and improvements

• Demonstrated ability to stay on top of new concepts and tools

• Ability to work long hours at a desk using a PC

Responsibilities:

• Work with product owners, data scientists, and other engineers

• Develop and maintain new front-end and back-end features

• Design for quality, reliability, and operational excellence

• Provide technical customer support as needed

Benefits:

• Medical insurance for all employees and their loved ones

• Flexible work hours

• A competitive pay

Experience Requirements:

• 1-5 years of experience in product implementation and service delivery

Other Requirements:

• Strong project management skills

• Excellent communication and collaboration skills

• Proficient in customer engagement and relationship management

• Process-oriented mindset

• Experience and familiarity with REST APIs

Responsibilities:

• End-to-end implementation of SaaS-based Growfin platform

• Manage multiple concurrent tasks effectively and lead implementations

• Coordinate with the customer team to gather requirements

• Serve as a functional subject matter expert of the Invoice-to-Cash process

• Collaborate with product management and engineering teams

Benefits:

• Growth in a Czech AI company

• Work with modern tools and technologies

• Flexibility and partial remote work options

• Mentorship from experienced colleagues

• Opportunity to help e-shops and brands

Education Requirements:

• Academic experience in marketing (school/university)

Experience Requirements:

• First experience with marketing (school, agency, or internship)

• Interest in AI, tech, and innovation in marketing

• Basic design skills (Canva, PowerPoint, or similar)

• Familiarity with social media, especially LinkedIn

• Basic understanding of CRM, mailing platforms, CMS, or Google Analytics

Other Requirements:

• Ability to write clear and engaging text

• Good communication skills

• Solid English skills (especially for reading and writing emails)

Responsibilities:

• Create and manage content for social media channels

• Write posts and design visuals

• Help organize webinars and follow-ups

• Update and maintain website using WordPress

• Coordinate with partners and clients around events