AI Jobs

Responsibilities:

• Create and maintain predictive models applied to our customer datasets Engineer features that aid in our understanding of tire dynamics and their usage by customers Design metrics and tests to judge the quality and performance of our machine learning models Work closely with our firmware and hardware teams to efficiently pre-process data on the edge Collaborate with data engineering teams to create scalable processing pipelines Guide our data collection team on acquiring data for in-house tire/vehicle models Work with external tire laboratories and manufacturers to design data collection tests

Responsibilities:

• Create highly scalable and maintainable cloud-based data processing flows Collaborate with data science teams to understand efficient choices for implementation of machine learning algorithms Work closely with frontend and mobile teams to create effective APIs for consumption Automate infrastructure for monitoring data ingest and identifying bottlenecks Own the data storage (SQL, NoSQL) and access layers (GraphQL, REST) Ensuring compliance with security requirements

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 the 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:

• 2+ years experience writing software to automate infrastructure management

Responsibilities:

• Write code to automate orchestration and provisioning of infrastructure to execute Chalk technology for Chalk customers and prospects.

• Build a platform for managing our hosted platform, and for managing the deployment of Chalk into customer-owned cloud accounts across AWS and GCP

• Work closely with our Engineering and Sales teams

• Help interview and grow the Engineering team

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

Education Requirements:

• Bachelor's Degree in Computer Science

Responsibilities:

• Showcase Chalk's product through documentation of example products and use cases

• Foster engagement within the developer community via online platforms

• Serve as a primary contact and cultivate expertise in ML infrastructure

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:

• Technical background including experience writing software or building ML models

• 2+ years experience of professional backend software engineering experience

Responsibilities:

• Write code to implement Chalk technology for Chalk customers and prospects. You will become familiar with Chalk infrastructure and find the best way to integrate and implement them in different environments

• Work closely with our Engineering and Sales teams

• Act as the the primary technical point of contact pre-sales and post-sales (when we are onboarding a new customer or supporting an existing one)

• Recommend new products to customers as their business evolves

• Help interview and grow the Engineering team

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:

• 2+ years experience of professional backend software engineering experience

• Strong working knowledge of computer science fundamentals.

Responsibilities:

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

• Write Python and Rust

• Design, implement, ship, and maintain significant components of our query planning and execution engine

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

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:

• 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.

Education Requirements:

• Bachelor’s Degree

Experience Requirements:

• 5+ years of experience of closing experience technical sales (2+ in a start-up environment - ideally with experience in enterprise B2B / developer tools)

• Proven history of exceeding quota targets at at high-growth organizations by navigating and developing new sales processes

• History of strategic and creative pipeline generation tactics

Responsibilities:

• Identify prospective customers, generate and convert opportunities for net new business

• Design and execute dynamic sales strategies to meet and exceed revenue quotas

• Analyze market landscapes, trends, to define playbook for the Chalk sales playbook

• Take a consultative approach to sales by assessing customer goals and technical challenges

• Become an expert on Chalk and answer questions about the product Lead presentations and demos of Chalk’s product and collaborate with ML Engineers Negotiate prices and terms Work closely with Engineering, Machine Learning Engineering and Marketing teams

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.

Education Requirements:

• Bachelor’s Degree

Experience Requirements:

• 5+ years of experience of closing experience technical sales (2+ in a start-up environment - ideally with experience in enterprise B2B / developer tools)

• Proven history of exceeding quota targets at at high-growth organizations by navigating and developing new sales processes

• History of strategic and creative pipeline generation tactics

Responsibilities:

• Identify prospective customers, generate and convert opportunities for net new business

• Design and execute dynamic sales strategies to meet and exceed revenue quotas

• Analyze market landscapes, trends, to define playbook for the Chalk sales playbook

• Take a consultative approach to sales by assessing customer goals and technical challenges

• Become an expert on Chalk and answer questions about the product Lead presentations and demos of Chalk’s product and collaborate with ML Engineers Negotiate prices and terms Work closely with Engineering, Machine Learning Engineering and Marketing teams

Experience Requirements:

• 2+ years of experience managing SDRs in fast-paced, high-growth companies

• Proven experience owning and building SDR playbooks from scratch

• Track record of achieving and exceeding KPIs

Responsibilities:

• Hire, onboard, and train world-class SDRs to identify and create qualified opportunities

• Build a playbook across different segments and personas to create repeatability

• Meticulously monitor and analyze team performance metrics and KPIs, identify areas for improvement, and implement corrective actions as necessary

• Own and manage the outbound tech stack

• Coach SDRs to improve their prospecting, qualification, and outbound/inbound sales skills, ensuring consistent improvement Ensure effective lead tracking, reporting, and data management in the CRM system; analyze performance metrics, pinpoint areas for enhancement, and execute initiatives to optimize sales development Collaborate with product marketing, sales, developer advocacy, and operations to refine messaging Demonstrate leadership in shaping our value messaging and contribute to strategic sales cycles

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.

Education Requirements:

• Bachelor’s Degree

Experience Requirements:

• 2+ years of experience (bonus points for a start-up environment!)

• Proven history of exceeding quota targets at at high-growth organizations by navigating and developing new sales processes History of strategic and creative pipeline generation tactics - you are constantly testing and iterating on channels, messaging, and tactics

Responsibilities:

• Work closely across the GTM team to strategize and execute outreach campaigns that drive pipeline creation and revenue

• Analyze market data and develop strategic approaches to key accounts to raise awareness and generate interest for Chalk

• Craft compelling messaging across channels including email, phone and LI in conjunction with other stakeholders Identify the needs of potential customers and suggest the appropriate path forward Build long-term, trusting relationships with prospects; own the data Schedule demos between prospects and sales executives Own hand-offs and tracking opportunity account details including use case, purchase timeframes and next steps Report weekly, monthly and quarterly metrics

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.

Experience Requirements:

• Minimum 10 years of experience in data science, with a focus on NLP and unstructured data processing.

• Proven track record of launching NLP-driven products to live users.

• Expertise in Python and standard libraries such as PyTorch, NLTK, and Scikit-learn.

• Experience with Transformer-based models (e.g., BERT, GPT).

• Strong experience with one or more cloud platforms (Azure, GCP, AWS) for hosting and deploying AI/ML products.

Other Requirements:

• Familiarity with data engineering pipelines and best practices.

• Proficiency in SQL for analytics and data manipulation.

• Excellent problem-solving skills and ability to work with large-scale datasets.

• Hands on experience in deployment

• Strong interpersonal and communication skills, with the ability to mentor team members and interact with customers effectively.

Responsibilities:

• Lead the development and deployment of NLP-based solutions to process and analyze unstructured data at scale.

• Design, train, and optimize machine learning models using libraries such as PyTorch, NLTK, and Scikit-learn.

• Architect and deploy AI/ML products on cloud platforms like Azure, GCP, or AWS.

• Collaborate with data engineering teams to ensure seamless integration of AI models into production systems.

• Perform advanced SQL analytics to extract actionable insights from structured datasets.

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:

• 6+ experience as a Data Scientist, with a focus on AI-driven environments.

• Expertise in data manipulation and analysis tools (e.g., Python, R, SQL).

• Extensive experience with machine learning frameworks and algorithms.

• Strong familiarity with both structured and unstructured data sources.

Other Requirements:

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

• A collaborative mindset and a passion for innovation, with a proven track record of leading projects to success.

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 experience in data science, with a focus on NLP , LLM and unstructured data processing.

• Proven track record of launching NLP-driven products to live users.

• Expertise in Python and standard libraries such as PyTorch, NLTK, and Scikit-learn.

• Experience with Transformer-based models (e.g., BERT, RAG,GPT ).

• Strong experience with one or more cloud platforms (Azure, GCP, AWS) for hosting and deploying AI/ML products.

Other Requirements:

• Familiarity with data engineering pipelines and best practices.

• Proficiency in SQL for analytics and data manipulation.

• Excellent problem-solving skills and ability to work with large-scale datasets.

• Strong interpersonal and communication skills, with the ability to mentor team members and interact with customers effectively.

Responsibilities:

• Lead the development and deployment of NLP-based solutions to process and analyze unstructured data at scale.

• Design, train, and optimize machine learning models using libraries such as PyTorch, NLTK, and Scikit-learn.

• Architect and deploy AI/ML products on cloud platforms like Azure, GCP, or AWS.

• Collaborate with data engineering teams to ensure seamless integration of AI models into production systems.

• Perform advanced SQL analytics to extract actionable insights from structured datasets.

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.