AI Jobs

Education Requirements:

• BSc/Master's degree in computer science, Electrical Engineering, Robotics, or a related field.

Responsibilities:

• Responsible to manage the mapping and localisation Model Architecture and Road map

• Develop state-of-the art solutions for multi-model sensor fusion of sensors such as lidar, cameras, GPS, IMUs and weel encoders to enable robust localization capabilities.

• Develop and maintain mapping and localization approaches for large-scale environment.

• Work with a multidisciplinary engineering team at drivers to constantly enhance existing solutions.

Experience Requirements:

• 5+ years in security IT industry experience.

Responsibilities:

• Design and implement security measures to protect applications and infrastructure from vulnerabilities, attacks, and other risks.

• Perform vulnerability assessments, threat analysis, and incident response.

• Plan, scope and conduct Penetration Testing campaigns.

• Develop and integrate security requirements into the CI/CD pipelines.

• Collaborate with cross-functional teams (e.g., Development, Architecture, Infrastructure) to align security with business goals.

Experience Requirements:

• Good experience in data testing.

• Good experience in data automation testing, creating automated tests.

• Experience in automating tests using Python.

• Experience in building tests in dbt (Data Build Tool).

Responsibilities:

• Collaborating with your Product Engineering team members to clarify requirements and acceptance criteria.

• Planning, coordinating and executing test-related activities.

• Creating automated tests that are robust, easy to understand and maintain.

Experience Requirements:

• 5+ years of experience in building and maintaining Data Warehouses for reporting and analytics.

• Strong skills in SQL, Python, problem-solving and data analysis.

Responsibilities:

• Designing and implementing data pipelines and models, ensuring data quality and integrity.

• Solving challenging data integration problems, utilizing optimal patterns, frameworks, query techniques, sourcing from vast and varying data sources.

Experience Requirements:

• 3-7 years of experience in incident management, site reliability engineering (SRE), DevOps, or a related role .

• Strong background in production support, RCA facilitation, and cross-team collaboration .

Responsibilities:

• Own and manage the incident lifecycle for production data flows, ensuring rapid mitigation of issues.

• Facilitate real-time incident response, collaborating with development teams to restore functionality quickly.

• Regularly triage and track P1 (Critical) and P2 (High) incidents via JIRA, ensuring timely resolutions.

Experience Requirements:

• Experience building and scaling web applications.

• Strong coding ability.

Responsibilities:

• Working closely with frontend developers, product managers, and other stakeholders to understand project requirements and deliver solutions that meet business needs.

• Taking full ownership of micro-services and having input into our future direction.

• Writing backend code in Typescript that is fully unit tested.

Experience Requirements:

• 5-7 years as an engineering manager, ideally leading full-stack teams in a SaaS environment.

Responsibilities:

• Team Development & Mentorship

• Strategic Focus

• Cross-Functional Collaboration

Education Requirements:

• Bachelor’s degree in computer science, information technology, or a related field (or equivalent experience).

Experience Requirements:

• Experience building and scaling web applications.

• Experience with running a production environment in AWS, other cloud providers are nice to have.

Responsibilities:

• Implement and drive adoption of site reliability engineering best practices for observability, scalability, availability, compliance and resilience.

• Focus on continuous improvement and technical standards – drive improvements in productivity, monitoring, tooling and set industry best practices.

Experience Requirements:

• 5+ years of experience in software test development.

Responsibilities:

• Design and prioritize automation scenarios, building comprehensive test suites to ensure product quality and reliability.

• Develop and maintain robust automation scripts using Serenity/JS with Playwright and the Screenplay pattern.

• Debug, investigate, and conduct root cause analysis of defects discovered through automated tests.

Experience Requirements:

• Strong understanding of modern JavaScript frameworks.

• Experience in all aspects of frontend development including styling, performance, responsiveness and in creating reusable components.

Responsibilities:

• Work with peer engineers, designers, and product managers to scope, develop and deliver a software experience that realizes the product strategy.

• Develop new frontend features that help make our customers successful.

• Work closely with backend developers to integrate frontend components with backend services.

Benefits:

• Competitive salary and equity

• Medical, dental, vision plans

• Open vacation policy

• Free lunch

• Healthy snacks and drinks Access to onsite gym

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:

• 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.