Benefits:

• Competitive salary

• Paid vacation

• Social benefits

• Chances to work on international projects

• Supportive, friendly environment

Experience Requirements:

• 0.5+ years of commercial experience

• Advanced JavaScript knowledge

• Ability to hand-code HTML and CSS from scratch

Other Requirements:

• Upper-Intermediate English or higher

• Experience with design layouts (Photoshop, Adobe XD)

• Ability to work US hours

Responsibilities:

• Develop user interfaces

• Write clean, well-structured JavaScript code

• Build interactive UI elements and animations

• Collaborate with Project Managers and cross-functional teams

Experience Requirements:

• Familiarity with big data solutions (Spark, Flink, Hive)

• Solid knowledge in Python and Linux

• Ability to write complex SQL queries

• 2+ years experience working with Apache Spark/Flink using Scala or Java

Other Requirements:

• Strong analytical and problem-solving skills

• Fluent verbal and written English

• Experience with AWS tools and Docker/K8S preferred

Responsibilities:

• Design, build and deploy backend data solutions

• Collaborate with product, architects, and R&D teams

• Monitor solutions in production for stability and scalability

• Work closely with data science experts

Benefits:

• Attractive Health Plan

• Dedicated weekly time for education/training

• 25 Days Paid Vacation

• Paid Sick and Personal Leave

• Public Holidays

Education Requirements:

• Industry Certifications related to Technology, Project Management, or Legal Industry

Experience Requirements:

• Prior experience in a Customer Experience / Sales Hunter capacity (min $2m ARR business)

• Strong Am Law C-Title connections (Senior leadership or COO level)

• Extensive knowledge of the Legal & Professional Services industry

• Extensive Technical knowledge of SharePoint, Generative AI, Microsoft 365, and Azure

• Strong presentation and interpersonal skills

Other Requirements:

• Excellent verbal and written communication skills

• Exceptional critical thinking and analytical skills

• Strong business and financial acumen

• Open to working Flexible long hours

• Background check (driving record, education, and employment records)

Responsibilities:

• Represent the organization as customer experience and sales executive

• Directly responsible for driving ARR Growth (minimum 20% Year-over-Year)

• Participate in design, marketing, promotion, and sales of KLoBot software products

• Bring new business through deep connections in the Legal Industry

• Provide a professional public presence at key industry events

Benefits:

• Competitive salary

• Early-stage equity package

• High-trust, execution-first culture with minimal bureaucracy

• Direct ownership of meaningful projects

• Opportunity to sit at the interface between deep research and real-world productization

Experience Requirements:

• 5+ years of hands-on software engineering experience

• Proven ability to execute on incomplete specs and drive projects to completion

• Strong experience writing production-quality code (Python & Rust strongly preferred)

• Track record of rapid prototyping in the LLM/agent space

• Experience orchestrating and evaluating complex multi-agent systems

Other Requirements:

• Legally authorized to work in the United States

• Deep understanding of LLM architecture and inference-time optimisation

• Strong knowledge of the agentic ecosystem (frameworks, tools, MCP servers, MAS architectures)

• Comfortable in fast-moving, ambiguous environments

• Bias for ownership

Responsibilities:

• Translate research prototypes and high-level concepts into production-quality software

• Own deliverables end-to-end: take specifications, clarify requirements, and execute to completion

• Build systems that are correct, reliable, maintainable, and performant

• Work closely with ML researchers and engineers to integrate research outputs into functional systems

• Own critical engineering tasks like data pipelines, API integrations, testing, and error handling

Benefits:

• Competitive salary and benefits

• Opportunity to work on cutting-edge autonomous technology

• Mission-driven team environment

• Dynamic and collaborative workplace

• Growth potential

Education Requirements:

• Bachelor’s degree in statistics, mathematics, computer science, computer systems engineering, or a related field

• Master’s degree in machine learning, data science, or related quantitative field (preferred)

Experience Requirements:

• Programming experience is required

• Experience in statistical modeling is required

• Experience in machine learning is required

Other Requirements:

• Experience with computer vision and perception (2D/3D detection, SLAM/localization, sensor fusion)

• On-edge/embedded deployment and performance optimization

• Familiarity with ROS/ROS2, Git, Linux, PyTorch/NumPy, and SQL

• Clear written and verbal communication skills

• Previous working experience in the mining industry (preferred)

Responsibilities:

• Implement cutting-edge techniques in machine learning and deep learning

• Perform large-scale experimentation to evaluate model performance

• Create advanced algorithms such as regression, simulation, and neural networks

• Build automated pipelines for data cleaning, labeling, and quality assurance

• Develop AI models for mining autonomy and collision-avoidance systems

Benefits:

• Onboarding and training

• Career in the advanced analytics profession

• Scholarship to support, mentor and develop students

• Work with talented technologists

Education Requirements:

• Ambitious graduate

Experience Requirements:

• Experienced data scientist

Other Requirements:

• Excellent problem-solving skills

• Ability to translate complex information

• Love of learning

• Adaptable

Responsibilities:

• Translate complex information for the business team

• Integrate data science into business operations

• Solve complex business challenges using advanced analytics

Benefits:

• Onboarding and training

• Career in the advanced analytics profession

• Scholarship to support, mentor and develop students

• Work with talented technologists

Education Requirements:

• Ambitious graduate

Experience Requirements:

• Experienced data scientist

Other Requirements:

• Excellent problem-solving skills

• Ability to translate complex information

• Love of learning

• Adaptable

Responsibilities:

• Translate complex information for the business team

• Integrate data science into business operations

• Solve complex business challenges using advanced analytics

Benefits:

• Onboarding and training

• Career in the advanced analytics profession

• Scholarship to support, mentor and develop students

• Work with talented technologists

Education Requirements:

• Ambitious graduate

Experience Requirements:

• Experienced data scientist

Other Requirements:

• Excellent problem-solving skills

• Ability to translate complex information

• Love of learning

• Adaptable

Responsibilities:

• Translate complex information for the business team

• Integrate data science into business operations

• Solve complex business challenges using advanced analytics

Benefits:

• Onboarding and training

• Career in the advanced analytics profession

• Scholarship to support, mentor and develop students

• Work with talented technologists

Education Requirements:

• Ambitious graduate

Experience Requirements:

• Experienced data scientist

Other Requirements:

• Excellent problem-solving skills

• Ability to translate complex information

• Love of learning

• Adaptable

Responsibilities:

• Translate complex information for the business team

• Integrate data science into business operations

• Solve complex business challenges using advanced analytics

Benefits:

• Onboarding and training

• Career in the advanced analytics profession

• Scholarship to support, mentor and develop students

• Work with talented technologists

Education Requirements:

• Ambitious graduate

Experience Requirements:

• Experienced data scientist

Other Requirements:

• Excellent problem-solving skills

• Ability to translate complex information

• Love of learning

• Adaptable

Responsibilities:

• Translate complex information for the business team

• Integrate data science into business operations

• Solve complex business challenges using advanced analytics

Benefits:

• Onboarding and training

• Career in the advanced analytics profession

• Scholarship to support, mentor and develop students

• Work with talented technologists

Education Requirements:

• Ambitious graduate

Experience Requirements:

• Experienced data scientist

Other Requirements:

• Excellent problem-solving skills

• Ability to translate complex information

• Love of learning

• Adaptable

Responsibilities:

• Translate complex information for the business team

• Integrate data science into business operations

• Solve complex business challenges using advanced analytics

Benefits:

• Onboarding and training

• Career in the advanced analytics profession

• Scholarship to support, mentor and develop students

• Work with talented technologists

Education Requirements:

• Ambitious graduate

Experience Requirements:

• Experienced data scientist

Other Requirements:

• Excellent problem-solving skills

• Ability to translate complex information

• Love of learning

• Adaptable

Responsibilities:

• Translate complex information for the business team

• Integrate data science into business operations

• Solve complex business challenges using advanced analytics

Benefits:

• Onboarding and training

• Career in the advanced analytics profession

• Scholarship to support, mentor and develop students

• Work with talented technologists

Education Requirements:

• Ambitious graduate

Experience Requirements:

• Experienced data scientist

Other Requirements:

• Excellent problem-solving skills

• Ability to translate complex information

• Love of learning

• Adaptable

Responsibilities:

• Translate complex information for the business team

• Integrate data science into business operations

• Solve complex business challenges using advanced analytics

Benefits:

• Culture of collaboration

• Personal growth

• Technical excellence

• Lifelong learning

• Tools and support

Education Requirements:

• Bachelor’s degree in engineering, computer science or similar

Experience Requirements:

• 5+ years of industry experience in software development

• 2+ years of leadership experience through leading teams, projects or mentoring others

Other Requirements:

• Solid English language skills

• Experience with docker

• Experience with development of HTTP based APIs

• SQL, DevOps, cloud technologies

• Familiarity with Linux and Debian-based distributions

Responsibilities:

• Managing hiring, onboarding, and mentoring

• Encouraging a culture of collaboration, personal growth and technical excellence

• Taking ownership of and maintaining a diverse set of software systems

• Working closely with robotic algorithms and project/product teams

• Implementing standards and best practices for code quality, reproducibility, and security

Benefits:

• Unique opportunity to join Sevensense/ABB

• Professional career development opportunities

• Competitive compensation package

• Modern office in the center of Zurich

• Ambitious, supportive and international team

Education Requirements:

• Masters degree in (Electrical) Engineering

Experience Requirements:

• Experienced with Altium, KiCAD, Autodesk Fusion/EAGLE or similar CAD programs

• Capable of simulating electric circuits in spice tools like LTSpice

• Proficient with standard electronic lab tools like oscilloscopes and logic analyzers

• Knowledge of C, C++, or Python

Other Requirements:

• Basic understanding of the regulatory compliance process

• Responsible and detail-oriented team player

• Can-do mindset

• Ability to take ownership of projects

Responsibilities:

• Design prototypes for next generation products

• Oversee prototype fabrication, including bring-up and debugging

• Maintain the portfolio of Sevensense products and handle change requests

• Validate designs through extensive testing of thermal, vibration, and EMC

• Create test strategies and requirements for production PCBAs

Benefits:

• Exponential growth in salary

• Knowledge growth

• Role and designation growth

Experience Requirements:

• Solid problem solving skills with Python or C++

• Experience working with open source object detection (Mobilenet SSD, EfficientDet) and classification models (Mobilenet, VGG)

• Solid image processing skills (camera calibration, homography estimation, feature matching, optical flow)

• Proficient in at least one of tensorflow and pytorch

• Experience with optimizing models (fp16, int8) and deployment on edge devices like coral and jetson nano

Other Requirements:

• Experience with cloud platforms like AWS

• Comfortable with concepts of threading and multiprocessing

• Experience with using Django

• Previous experience working with Postgresql or other RDBMS

• Good interpersonal and time management skills

Responsibilities:

• Select appropriate classified image libraries and algorithms to develop anomaly detection applications

• Develop solution architecture and generate drafts for design reviews

• Assist in the installation and running of product demonstrations

• Contribute to expanding and sustaining knowledge base through training and mentoring

• Establish technical performance benchmark

Benefits:

• Exponential growth in salary

• Knowledge growth

• Role and designation growth

Experience Requirements:

• Solid experience in handling and engaging clients from the Manufacturing industry

• Strong experience in Industry Automation and Machine Vision products

• Good knowledge of AI and software products

• Digital & traditional marketing skills to grab leads

• Excellent communication and negotiation skills

Other Requirements:

• Strong Interpersonal and interpretation skills

• Passionate & optimistic person to achieve targets

• Ability to deliver an engaging presentation

Responsibilities:

• Learn technical details of Computer Vision AI software and its applications

• Understand customer requirements and apply product knowledge

• Create and deliver effective product demonstrations to prospective customers

• Manage all technical and functional aspects of RFP/RFI

• Develop and manage lead pipeline by assessing and prioritizing prospective clients

Benefits:

• generous paid time off

• healthcare coverage

• career enrichment

• development strategies

Education Requirements:

• Bachelor's or Master's in Computer Science or related fields

Experience Requirements:

• A minimum of 8+ years of experience using Rhino and Grasshopper

• Experience in AEC Industries

• Python expertise

• C# expertise, particularly with RhinoCommon

• Familiarity with the Grasshopper SDK

Other Requirements:

• A portfolio showcasing contributions to the physical world through computational design

• Experience with Visual Studio Code or similar development environments

Responsibilities:

• Collaborate with teammates to build modular, scalable solutions

• Develop custom API solutions for interoperability between multiple software platforms

• Create custom nodes in Python and C#

• Handle client data that may be sensitive or confidential with utmost care

• Collaborate directly with leaders of the computational design and engineering teams

Benefits:

• generous paid time off

• healthcare coverage

• career enrichment

• development strategies

Education Requirements:

• Bachelor's or Master's in Computer Science or related fields

Experience Requirements:

• A minimum of 8+ years of experience using Rhino and Grasshopper

• Experience in AEC Industries

• Python expertise

• C# expertise, particularly with Rhino Compute

• Familiarity with the Grasshopper SDK

Other Requirements:

• A portfolio showcasing contributions to the physical world through computational design

• Experience with Visual Studio Code or similar development environments

Responsibilities:

• Collaborate with teammates to build modular, scalable solutions

• Develop custom API solutions for interoperability between multiple software platforms

• Create custom nodes in Python and C#

• Handle client data that may be sensitive or confidential with utmost care

• Collaborate directly with leaders of the computational design and engineering teams

Benefits:

• generous paid time off

• healthcare coverage

• career enrichment

• development strategies

Education Requirements:

• Bachelor’s or Master’s Degree in Computer Science or related fields

Experience Requirements:

• 7+ years of experience building production ML / AI systems

• Strong Python engineer

• Proven experience working with unstructured data and images at scale

• Hands-on experience with agent patterns

• Experience deploying AI systems on AWS, GCP, or Azure

Other Requirements:

• Experience in NLP solutions preferred

• Experience in parsing pdf and text documents preferred

• Comfortable working in a micro services environment

Responsibilities:

• Analyze product requirements and come up with data science solutions

• Build deep learning NLP model(s)

• Write production quality python code for model development and inference

• Build and ship AI agent–driven systems

• Design agentic workflows using LLMs, tools, retrieval, and memory