Experience Requirements:

• 2+ years experience of professional software engineering experience

• Working knowledge of computer science fundamentals.

Responsibilities:

• Work directly with Chalk’s co-founders to productionize our first iteration

• Write TypeScript, Python, Go, and React

• Expose the functionality of our core platform to data scientist and machine learning end-users in their home environments

• Iterate rapidly to improve Chalk’s platform in response to customer needs

Benefits:

• Comprehensive medical, dental, and vision insurance

• Flexible Spending Account (FSA), Health Savings Account (HSA

• Expert Healthcare Guidance

• Retirement savings

• 15 company holidays each year 15 days of personal time off each year Flex Commuter Benefits Daily lunch and dinner on Chalk Office is fully-stocked with drinks and snacks to fuel your work day. Staying late? Dinner is on us Staying even later? Grab an Uber / Lyft home on Chalk

Experience Requirements:

• 5+ years of engineering experience with 2+ years of technical leadership

• Previous experience at an early-stage startup

• Experience building production ML systems or data infrastructure

Responsibilities:

• Lead a team of engineers building Chalk's data platform

• Partner with the founding team to define and execute our technical roadmap

• Lead with a player-coach mindset — jumping into the code whenever needed

• Establish engineering processes that enable high velocity without sacrificing quality

• Work directly with customers to understand requirements and ensure Chalk's platform solves real-world ML challenges Shape Chalk's engineering culture as we grow — you'll help us nurture top talent

Benefits:

• hospitalization insurance

• meal vouchers

• eco vouchers

• company laptop

• company phone (unlimited data, call, SMS) and an annual bonus plan Eco-mobility package (train, bus, bike, etc.) Flexible working (50% remote, 50% office) Vacation time: 10 public holidays, 20 legal days, 10 extra legal days Learning and development package

Experience Requirements:

• 0-2 years of work experience

Responsibilities:

• Work directly with clients during scoping, briefing and implementation phases

• Use conversational AI tools to build flows and NLP/intent models

• Identify and analyze business needs to provide high-level budget estimates

• Apply business logic and integrations to transform simple chatbots into personalized conversational agents

Benefits:

• hospitalization insurance

• meal vouchers

• eco vouchers

• company laptop

• company phone (unlimited data, call, SMS) and an annual bonus plan Eco-mobility package (train, bus, bike, etc.) Flexible working (50% remote, 50% office) Vacation time: 10 public holidays, 20 legal days, 10 extra legal days Learning and development package

Experience Requirements:

• 2-4 years of work experience

Responsibilities:

• Work directly with clients during scoping, briefing and implementation phases

• Use conversational AI tools to build flows and NLP/intent models

• Identify and analyze business needs to provide high-level budget estimates

• Apply business logic and integrations to transform simple chatbots into personalized conversational agents

Benefits:

• Competitive salary, equity, and spot bonuses.

• Paid sick leave.

• Latest MacBook Pro for your work.

• Comprehensive health insurance.

• Paid parental leave.

Education Requirements:

• A Bachelor’s degree (or higher)

• Strong curiosity about how people think, express themselves, and how to distill, clarify, and label that information for AI and machine learning [applications](http://applications.Excellent).

Other Requirements:

• Excellent Communication Skills: Strong ability to communicate complex technical information clearly and concisely, both written and verbal.

• Technical Document Comprehension: Ability to read and understand technical documents, and annotate them with precision.

• Graph & Flowchart Creation: Hands-on experience in creating graphs, charts, and flowcharts to visualize technical data.

• Attention to Detail: A keen eye for ensuring accuracy in data annotation and visualization.

• Technical Aptitude: Comfortable working with technical information and turning it into easily understandable visuals.

• Flexible Working Hours: Availability to work flexible hours, primarily in the PST time zone.

• Immediate Availability: Must be able to start immediately and commit to the full 6-month contract.

Responsibilities:

• Document Review & Annotation: Thoroughly analyze technical documents, and accurately annotate key information and data points.

• Graph & Flowchart Creation: Translate complex technical specifications into clear and concise graphs and flowcharts, ensuring accuracy and clarity.

• Data Visualization: Develop graphs, charts, and other visual data representations to support documentation and aid in understanding.

• Collaboration: Work closely with technical teams to ensure correct representation of data and processes.

• Quality Control: Ensure all annotations and visual elements meet accuracy standards and align with the original documentation.

Benefits:

• Competitive salary, equity, and spot bonuses.

• Paid sick leave.

• Latest MacBook Pro for your work.

• Comprehensive health insurance.

• Paid parental leave.

Experience Requirements:

• 4+ years of experience in data engineering, with a focus on building large-scale data systems. In-depth knowledge of ELT processes and Lakehouse architecture.

• Data Pipelines: Expertise in Python and Scala for data pipeline development. Proven experience with Apache Spark and Databricks for big data processing and analytics.

• Hands-on experience with observability tools like Prometheus, Grafana, and ELK stack/OpenSearch.

• Experience with real-time streaming systems such as Kafka and Flink.

• Experience in working with large datasets and high-throughput data environments.

Other Requirements:

• Familiarity with cloud platforms like Azure, GCP, or AWS.

• Strong problem-solving skills and ability to work in fast-paced environments.

• Excellent communication and collaboration skills.

Responsibilities:

• Development and implementation of advanced data models to extract insights from complex datasets.

• Collaborate with cross-functional teams to devise data-driven solutions for service optimization.

• Conduct experiments and analyses to enhance service predictions and outcomes.

• Present findings and actionable recommendations to stakeholders, translating complex data insights into clear, understandable concepts.

• Mentor junior data scientists and foster a collaborative team environment.

Benefits:

• Competitive salary, equity, and spot bonuses.

• Paid sick leave.

• Latest MacBook Pro for your work.

• Comprehensive health insurance.

• Paid parental leave.

Experience Requirements:

• Minimum 10 years of professional experience in backend development.

• Min 4 year in AI NLP or ML hand on experience is required

• Expertise in one of the following programming languages: Java, Python, or Golang.

• Proven experience in building and maintaining distributed systems at scale.

• Familiarity with at least one major cloud platform (Azure, AWS, or GCP).

Other Requirements:

• Strong understanding of system design, architecture patterns, and data structures.

• Experience with relational and NoSQL databases.

• Proficiency in developing RESTful APIs and microservices.

• Solid understanding of security best practices and performance optimization.

• Excellent problem-solving and debugging skills.

• Strong communication and collaboration skills.

Responsibilities:

• Design, implement, and maintain scalable backend systems.

• Develop and optimize distributed systems capable of handling large-scale traffic and data.

• Lead the architecture and design of critical components and systems.

• Write clean, maintainable, and efficient code

• Collaborate with product managers, frontend engineers, and other stakeholders to deliver end-to-end solutions.

Benefits:

• Competitive salary, equity, and spot bonuses.

• Paid sick leave.

• Latest MacBook Pro for your work.

• Comprehensive health insurance.

• Paid parental leave.

Experience Requirements:

• 5+ years of experience in backend engineering or a similar role.

• Hand on experience in LLM , NLP

• Proficiency in programming languages such as Java, or Python

• Strong experience with database management systems (e.g., PostgreSQL, MongoDB) and data modeling.

• Familiarity with cloud services (e.g., AWS, Azure, GCP) and microservices architecture.

Other Requirements:

• Excellent problem-solving skills and the ability to communicate complex technical concepts effectively to diverse stakeholders.

• A collaborative mindset and a passion for innovation, with a proven track record of delivering high-quality projects.

Responsibilities:

• Lead the design, development, and maintenance of scalable backend systems and APIs that support our AI-driven platform.

• Collaborate with cross-functional teams to ensure seamless integration of backend services with frontend applications.

• Optimize system performance, reliability, and scalability through best practices and innovative solutions.

• Troubleshoot complex issues and implement solutions to improve application functionality and user experience.

• Mentor junior engineers, fostering a culture of knowledge sharing and continuous improvement.

Benefits:

• Competitive salary, equity, and spot bonuses.

• Paid sick leave.

• Latest MacBook Pro for your work.

• Comprehensive health insurance.

• Paid parental leave.

Experience Requirements:

• Minimum 10 years of professional experience in backend development.

• Min 4 year in AI NLP or ML hand on experience is required

• Expertise in one of the following programming languages: Java, Python, or Golang.

• Proven experience in building and maintaining distributed systems at scale.

• Familiarity with at least one major cloud platform (Azure, AWS, or GCP).

Other Requirements:

• Strong understanding of system design, architecture patterns, and data structures.

• Experience with relational and NoSQL databases.

• Proficiency in developing RESTful APIs and microservices.

• Solid understanding of security best practices and performance optimization.

• Excellent problem-solving and debugging skills.

• Strong communication and collaboration skills.

Responsibilities:

• Design, implement, and maintain scalable backend systems.

• Develop and optimize distributed systems capable of handling large-scale traffic and data.

• Lead the architecture and design of critical components and systems.

• Write clean, maintainable, and efficient code

• Collaborate with product managers, frontend engineers, and other stakeholders to deliver end-to-end solutions.

Benefits:

• Competitive salary, equity, and performance bonuses

• Paid sick leave

• Latest MacBook Pro and best-in-class tools

• Comprehensive health insurance coverage

• Paid parental leave

Education Requirements:

• Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field from a Tier-1 institution

Experience Requirements:

• 4–7 years of experience in AI/ML development, including hands-on work with LLMs systems

• Demonstrated ability to take research concepts into production-grade systems

Other Requirements:

• Strong proficiency in Python and ML frameworks like TensorFlow or PyTorch

• Experience with Large Language Models (e.g., GPT, Claude, LLaMA) including prompt engineering and fine-tuning

• Hands-on knowledge of reinforcement learning, planning algorithms, and autonomous agent frameworks

• Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices

• Strong understanding of AI pipelines, API development, and system integration

Responsibilities:

• Design and build AI agents that autonomously plan and perform complex tasks using LLMs, reinforcement learning, and symbolic Machine Learning & NLP: Develop and fine-tune NLP models for natural language understanding, contextual decision-making, and conversational

Benefits:

• Medical insurance

• Team events

• Competitive salary, equity

• Continued education

• Flexible work location

Benefits:

• competitive salary

• benefits package

• opportunities for professional growth and development at a dynamic startup

Experience Requirements:

• At least 5 years of experience as a frontend engineer

• Experience in React, Javascript, CSS

• Experience in the d3 data visualization framework

• Experience in different frontend architectures such as monolith and micro-frontends and able to analyze trade offs

• Experience in testing and quality control processes for frontends such as unit testing and end-to-end testing

Other Requirements:

• Have a basic knowledge in UI/UX design

• Have a user-oriented mindset

Responsibilities:

• Develop and maintain frontends of our cloud-based services, including design, implement, deploy, testing and monitor systems

• Define front-end architecture

• Lead a small team of frontend engineers

Benefits:

• competitive salary

• benefits package

• opportunities for professional growth and development at a dynamic startup

Education Requirements:

• Master’s degree or higher in Computer Science, a related technical field, or equivalent practical experience.

Experience Requirements:

• Strong proficiency in Python, with hands-on experience in data analysis using Pandas and NumPy.

• Solid experience working with Linux, Git, and Docker for development and deployment.

• Proven ability to process and analyze image and/or point cloud data effectively.

• Excellent communication skills in English, both written and verbal.

Responsibilities:

• Develop and refine algorithms for analyzing vehicle data, including camera images, lidar point clouds, and GNSS data, with applications such as speed limit recognition, lane detection, and object recognition.

• Design, maintain, and optimize scalable data processing pipelines to efficiently handle large volumes of vehicle data.

• Collaborate on customer projects, providing technical support and guidance to help clients maximize the value of IVEX’s products.

Benefits:

• Maternity

• Referral program

• Flexible working hours

• Remote work

Benefits:

• Maternity

• Referral program

• Flexible working hours

• Remote work

Benefits:

• Maternity

• Referral program

• Flexible working hours

• Remote work

Benefits:

• Maternity

• Referral program

• Flexible working hours

• Remote work

Benefits:

• Maternity

• Referral program

• Flexible working hours

• Remote work

Benefits:

• Maternity

• Referral program

• Flexible working hours

• Remote work

Benefits:

• Maternity

• Referral program

• Flexible working hours

• Remote work