Benefits:

• Competitive salary, stock options and salary raise

• 1 fully paid international conference each year

• Generous time & paid vacation

• Amazing location and fun workplace

• Gym club & public transportation

Education Requirements:

• Extensive experience or academic records (Msc. or PhD in research area )

Experience Requirements:

• Desire to learn about deep learning technology

Benefits:

• Competitive salary, stock options and salary raise

• 1 fully paid international conference each year

• Generous time & paid vacation

• Amazing location and fun workplace

• Gym club & public transportation

Experience Requirements:

• 4+ years of practical experience or proven track record (projects, papers : ideally at ICML, ACL, EMNLP, TACL, CVPR, ICCV, or NIPS.) on Deep Learning

Benefits:

• Competitive salary, stock options and salary raise

• 1 fully paid international conference each year

• Generous time & paid vacation

• Amazing location and fun workplace

• Gym club & public transportation

Education Requirements:

• Extensive experience or academic records (Msc. or PhD in research area ) in deep learning techniques

Benefits:

• Competitive Pay

• Stock Options

• Fully paid Health Insurance

• Free food, snacks, and drinks

• Sponsorship for continued education and paper submissions

Responsibilities:

• Code optimization for GPGPU environment

Benefits:

• Competitive Pay

• Stock Options

• Fully paid Health Insurance

• Free food, snacks, and drinks

• Sponsorship for continued education and paper submissions

Other Requirements:

• Background in medical domain

Benefits:

• Competitive Pay

• Stock Options

• Fully paid Health Insurance

• Free food, snacks, and drinks

• Sponsorship for continued education and paper submissions

Other Requirements:

• Background in robotics domain

Benefits:

• Competitive Pay

• Stock Options

• Fully paid Health Insurance

• Free food, snacks, and drinks

• Sponsorship for continued education and paper submissions

Experience Requirements:

• 1-3 years of industry experience

Benefits:

• Competitive Pay

• Stock Options

• Fully paid Health Insurance

• Free food, snacks, and drinks

• Sponsorship for continued education and paper submissions

Other Requirements:

• Excellent programming skills, ML background and passion to excel

Benefits:

• Competitive Pay

• Stock Options

• Fully paid Health Insurance

• Free food, snacks, and drinks

• Sponsorship for continued education and paper submissions

Other Requirements:

• Passion to build career in deep learning, computer vision domain

Benefits:

• Competitive Pay

• Stock Options

• Fully paid Health Insurance

• Free food, snacks, and drinks

• Sponsorship for continued education and paper submissions

Other Requirements:

• Command over written English

Benefits:

• Health, Dental & Vision Plans

• Competitive Pay

• 401k Matching

• Unlimited PTO

• Lunch daily _(in-office only)_

Experience Requirements:

• 3+ years of full-cycle recruiting experience

Other Requirements:

• You have a history of identifying, engaging, interviewing, and closing talent for a high-growth company

• You have excellent communication and interpersonal skills which allow you to establish solid relationships with candidates and hiring leaders

• You understand the importance of delivering an exceptional candidate experience for each and every candidate

• You’re open to trying new and unique recruiting approaches

Responsibilities:

• Manage the full life-cycle recruitment process for our G&A teams

• Create and maintain strong relationships with hiring leaders across G&A departments to understand business needs

• Advise and guide hiring leaders on industry best practices

• Utilize data and metrics to evaluate the effectiveness of our recruiting strategies and work to continuously improve our hiring efficiency

• Partner with the broader People team to create employer brand strategies

Benefits:

• Choice of medical, dental, and vision insurance plans for you and your family

• Flexible paid time off and 10+ holidays per year

• A stipend to upgrade your home office for fully-remote roles

• 401k for US-based employees

Education Requirements:

• Bachelor's degree in Computer Science, Machine Learning, Statistics, or other fields of advanced quantitative study; advanced degree preferred

Experience Requirements:

• 2 years of experience in a people management role with direct reports, excluding tech lead positions

Other Requirements:

• Strong proficiency with the latest Large Language Model (LLM) technologies

• High proficiency in a procedural programming language (e.g. Python)

• Strong communication skills with the ability to distill complex concepts into understandable insights for non-technical stakeholders

• Strong leadership and mentorship skills and experience, with a passion for guiding and developing other team members

• Previous experience in the legal or healthcare technology fields is a plus, but not required

Responsibilities:

• Develop and implement career progression frameworks to guide the growth of your direct reports

• Provide mentorship, coaching, and resources to support the technical and career development of team members

• Foster a culture of continuous learning and professional growth within the organization

• Collaborate with engineering and product teams to define the strategic direction of the product for the assigned squad

• Coordinate with cross-functional partners to align on product priorities and roadmap objectives

Education Requirements:

• Bachelor’s degree in Business, IT, or a related field

Experience Requirements:

• 5+ years of experience as a business analyst or in a similar role

Other Requirements:

• Proficient in business analysis, requirements gathering, and process mapping

• Skilled in data analysis and using project management tools (e.g., JIRA, Confluence)

• Strong analytical, problem-solving, and critical-thinking skills

• Excellent communication skills, both verbal and written

• Experience with agile methodologies and SQL or other data analysis tools

• Stakeholder engagement and relationship management

• Attention to detail and accuracy

• Adaptability to changing business needs and environments

• Proactive problem-solving and decision-making

• Continuous improvement mindset and dedication to quality

Responsibilities:

• Conduct business analysis to define and communicate requirements and improvements

• Collaborate with stakeholders to align priorities and delivery with business goals

• Design and implement solutions that enhance efficiency and meet business needs

• Develop and maintain process, policy, workflow, and report documentation

• Provide insights and data-driven recommendations on business metrics

Benefits:

• Remote Work

• Unlimited PTO

• Flexible Hours

• Medical Insurance

• Career Growth

Experience Requirements:

• successful history of working in small innovative software teams to produce quality products

• Excellent knowledge of modern development techniques and platforms

• Experience with Linux, ROS, OpenCV, Torch, Gazebo

Benefits:

• Remote Work

• Unlimited PTO

• Flexible Hours

• Medical Insurance

• Career Growth

Experience Requirements:

• Technical support specialist with engineering background

• Excellent communication skills

Benefits:

• Remote Work

• Unlimited PTO

• Flexible Hours

• Medical Insurance

• Career Growth

Experience Requirements:

• senior assembly engineer to collaborate with Software, Electrical and Mechanical Engineers in prototyping and hand assembly for testing purposes

• Test finished products for defects and develop testing procedure documentation

• Troubleshoot malfunctions and perform repairs as needed

Education Requirements:

• Bachelor's degree in Computer Science

Experience Requirements:

• Experience in working with different data structures and data engineering

• Experience in analysing customer requirements and providing demos

• Ability to work with APIs and use Python to perform data transformation

• Ability to work effectively in a team

• Knowledge of AI technology and enterprise SaaS applications is a plus

Responsibilities:

• analyzing customer requirements

• building new AI application POCs / pilots for customers

• integrating with customers' data and applications

• leading deployment of Gen AI Applications for very large enterprise customers

Benefits:

• Competitive compensation packages

• High-quality individual and family medical, dental, and vision insurance

• Health savings account with available employer match

• Employer-matched 401(k) retirement plan with immediate vesting

• Employer-paid group term life insurance and the option to elect voluntary life insurance

Education Requirements:

• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 7+ years of relevant experience

• Master's degree and 5+ years of relevant experience

• PhD and 2+ years of relevant experience

Experience Requirements:

• Experience with system engineering in an enterprise-level, highly integrated, complex IT environment

• High-Performance Computing (HPC) experience with Cisco UCS, etc

• Familiarity with NFS, Fiber Channel connected storage and networking concepts

Other Requirements:

• Excellent interpersonal skills; ability to work successfully with teams across the organization, including Engineering, Program Management, Operations, and Senior Leadership

• Experience configuring server automation and configuration management tools (ex. Ansible, Terraform)

• Experience with container technology (Docker, Kubernetes)

• Knowledgeable of DNS and IPAM (EIP)

• Identity management (Okta, OpenLDAP, AD)

• Experience with backup and recovery (Veeam)

• Knowledge of Linux/Unix systems design, development, maintenance techniques, and processes

• Experience with administration of, and workflow enhancement/building with, project tracking software (Atlassian Jira)

• Self directed - effective prioritization and time management

• Ability to work in a fast paced high output environment with changing priorities and multiple projects

• Experience with root cause analysis and error correction

• Excellent documentation skills required

• A willingness and ability to learn and internalize new technologies

Responsibilities:

• Support a rapidly expanding infrastructure

• Experience working on a team of strong technical people with responsibility for the operation of mission-critical systems and services

• Deliver complex projects, including coordinating and driving issues to resolution autonomously utilizing excellent technical troubleshooting skills

• Work cross-functionally with highly technical software, hardware, and network engineering teams, understand their goals, and deploy tools and visualizations to get the right data in the hands of teams to make decisions

Benefits:

• Equal Pay

• Employee referral rewards

• Wellness benefits

• Flexible work schedules

• Mentoring opportunities

Benefits:

• Equal Pay

• Employee referral rewards

• Wellness benefits

• Flexible work schedules

• Mentoring opportunities