Benefits:

• Competitive PTO

• Flexible working hours

• Medical insurance

• Dental insurance

• Vision insurance

Benefits:

• Full-time, remote position

• Competitive salary

• Collaborative and supportive team environment

• Flexible work schedule to promote work-life balance

• Company-sponsored work trips

Education Requirements:

• B.Tech, BCA, B.Sc(Computers and Stats)

Experience Requirements:

• 0-2 years of relevant experience

Other Requirements:

• Analytical Skills

• Problem-Solving

• Python

• SQL

• Excel

• Data Processing

• Data Cleansing

• API Testing

• Unit Testing

• Big Data

• CI/CD

• GIT

Responsibilities:

• Gather, process, and update spatial data using GIS tools, particularly QGIS

• Work with OpenStreetMap (OSM) data models and large spatial datasets to improve data quality and accuracy

• Utilize mapping services such as Google Maps, HERE, and OSM for mapping and research projects

• Develop and maintain automated data pipelines using Python and other tools to process large datasets efficiently

• Implement and improve ETL workflows, ensuring clean, structured, and high-quality data for analysis and downstream applications

Benefits:

• Competitive salary & equity

• Health, Dental, & Vision

• 401k plan

• Unlimited PTO

• Flexible hybrid schedule

Education Requirements:

• Advanced degree in Computer Science, Electrical Engineering, Data Science, or a related field, with a focus on computer vision, machine learning, or a related discipline. (PhD preferred)

Experience Requirements:

• 3+ years of machine and/or deep learning experience

• 3+ years of experience with applied statistical techniques, such as inferential methods, causal methods, A/B testing, or statistical modeling techniques

• Proficiency in Python is a must

• Signal processing (speech or vision) understanding

• Strong familiarity with git or equivalent version control system

Other Requirements:

• Ability to thrive in a fast-paced startup environment with a high degree of autonomy and accountability

• Robust analytical and problem-solving skills, capable of employing scientific methods to solve real-world challenges.

• Excellent collaboration and teamwork skills, with the capacity to perform effectively in a dynamic, high-energy setting

Responsibilities:

• Stay current on the latest advances in machine learning, large language models (LLM), retrieval augmented generation (RAG), and topic modeling

• Conduct research and prototype new features, working closely with product, design & engineering teams to understand the limitations and opportunities for meeting product and scalability requirements

• Present status and findings on a regular basis to the data science team

• Conduct surveys and collect ground truth data to validate your research

Benefits:

• Competitive salary

• Work on groundbreaking projects

• Lead in the eco-tech movement

Experience Requirements:

• Experience in AI/ML, fashion tech, or sustainability-focused roles

• Previous R&D experience

Other Requirements:

• Creative thinker

• Love to innovate and solve complex challenges

Responsibilities:

• Lead the development and enhancement of our AI-powered upcycling suggestions

• Work closely with the tech team to evolve our machine-learning models

• Stay on top of fashion and sustainability trends

• Analyze user feedback

Benefits:

• Stock option grants

• Competitive health benefits package

• 4 weeks vacation + extra week off

• Home office budget

• Self-directed learning budget

Education Requirements:

• PhD in Computer Science, Computer Engineering, Mathematics, Physics or related field

Experience Requirements:

• Visible records of research in AI applications for AEC

• Experience leading a research agenda

• Strong programming skills in Python

• Strong familiarity with 2D and 3D geometry processing

Other Requirements:

• Experience bringing machine learning research to application deployment

• Excellent problem-solving skills

• Ability to work independently and in a team

Responsibilities:

• Develop generative systems for synthetic data

• Research foundation semantic models for buildings

• Research AI-assisted large-scale mathematical optimization

• Research AI-assisted physics simulation models

• Collaborate with engineering team to bring research to fruition

Benefits:

• Competitive base salary

• Bi-annual performance-based bonus

• 20 days of leave (extra day every 3 years)

• Curiosity grant

• Be an advocate grant

Education Requirements:

• Bachelor’s degree in Computer Science, Engineering, Software Engineering, Applied Mathematics, Statistics, or related field

Experience Requirements:

• Relevant data science or machine learning engineering experience

• Programming experience (Python, SQL)

• Strong analytical skills

• Strong communication skills

• Familiarity with fundamental machine learning theory

Other Requirements:

• Some experience with at least one Cloud provider

• Some experience working with the Big Data Suite

• Some experience working with test automation and tools

• Some experience with building training and inference pipelines for ML projects

• Understanding of database architectures

Responsibilities:

• Work with Analytics team to design, implement and test data engineering and machine learning software

• Build and test data engineering and machine learning pipelines for data analytics or machine learning solutions

• Follow all best practices and procedures as established by the client or industry

• Document designed solutions and implemented tools

• Brainstorm new solutions to improve data and ML software development and deployment

Benefits:

• Competitive base salary

• Bi-annual performance-based bonus

• 20 days of leave (extra day every 3 years)

• Curiosity grant

• Be an advocate grant

Education Requirements:

• Bachelor’s degree in Computer Science, Engineering, Software Engineering, Applied Mathematics, Statistics, or related field

Experience Requirements:

• Fluent with Python, Spark, PySpark, SQL

• Strong analytical skills

• Strong communication skills

• Familiarity with building training and inference pipelines for ML projects

• Familiarity with fundamental machine learning theory and building, tuning, selecting models

Other Requirements:

• Familiarity with MLOps principals

• Some experience with at least one Cloud provider

• Some experience working with test automation and tools

• Basic understanding of the cloud-native ecosystem and desire to learn and grow in this environment

Responsibilities:

• Implement and test data engineering and machine learning software

• Build and test data engineering and machine learning pipelines for data analytics or machine learning solutions

• Collaborate and share technical knowledge with team members and co-workers

• Follow all best practices and procedures as established by the client or industry

• Document designed solutions and implemented tools

Benefits:

• Health, Dental & Vision

• Competitive Pay

• 401k Matching

• Commuter Benefits

• Life Insurance

Experience Requirements:

• 6+ years of experience in the analytics space

• Experience at B2C technology companies - particularly around user onboarding, user journey flows, and/or monetization analytics

Other Requirements:

• You are comfortable actively defining a strategy and roadmap in partnership with our product, design, and tech leads

• A deep understanding of experimental design and statistics and can leverage that for analysis and assessment of A/B tests

• A strong SQL background

• Expertise in building self-service data visualization tools (e.g., Looker, Tableau, Power BI)

• Excellent communication skills

Responsibilities:

• Lead the relationship between the Data team and the NUX product group

• Be the expert on the new user experience

• Float from thinking about big strategic data questions to getting your hands dirty building out the processes, systems, tools, and analyses that answer those questions

• Translate complex analytical findings into clear and concise reports, dashboards, and presentations for stakeholders at all levels of the organization

• Partner with engineering teams to model and assess the data created by new user experiences

Benefits:

• Health, Dental & Vision Plans

• Competitive Pay

• 401k Matching

• Unlimited PTO

• Lunch daily _(in-office only)_

Experience Requirements:

• 6+ years of professional experience working in a data science capacity

Other Requirements:

• You are a team player

• Excellent writing, presentation, and communication skills

• Excellent software engineering skills

• Deep experience in several of the following in a professional capacity: customer segmentation and personalization, time series modeling, natural language processing, traditional classification/regression problems, design and implementation of experiments, recommendation systems, building generative AI applications in consumer software

Responsibilities:

• Build new, machine learning powered user-facing features and experiences in deep collaboration with engineering, product, and design teams

• Optimize to continuous product feedback loops

• Help develop the next version of Autopilot and Budgets

• Uncover and exploit relationships between customers’ subscriptions, purchase, and transaction data as you build personalized product experiences and power ever more accurate customer segmentation, propensity, and affiliate targeting models

• Design and conduct experiments to estimate the impact of new products, customer messaging, and marketing

Benefits:

• Health, Dental & Vision Plans

• Competitive Pay

• 401k Matching

• Unlimited PTO

• Lunch daily _(in-office only)_

Experience Requirements:

• 3+ years of experience managing data analytics professionals

Other Requirements:

• You have deep expertise in data analytics and a strong understanding of data systems and processes

• You are rabidly focused on making sure that analytics tools are accurate, complete, and timely

• You can tailor your management style to suit your employees

• You excel at stakeholder management and can build effective relationships across the organization

• Expert experience in experimentation analytics is a huge plus

Responsibilities:

• Lead and manage a team of 7-10 embedded data analytics professionals

• Drive technical strategy for self-service analytics

• Work with a high level of autonomy and know when to escalate concerns or collect feedback

• Foster strong working relationships with other leaders at the company

• Working with the rest of the data team, implement data governance strategies that better protect our user’s data within our business intelligence tooling

Responsibilities:

• Design, develop, and deploy machine learning models

• Blend of technical expertise, creativity, and passion for AI innovation

Benefits:

• Equity

Responsibilities:

• Design novel LLM techniques for increasing the complexity of use cases and data streams that Extend can be applied to

• Monitor existing models in production, understand what’s working well (and what isn’t), and run experiments to solve those issues

• Have complete ownership over the work you do — as a founding team member, you’ll have the opportunity to truly own large areas of product and engineering and have direct relationship with customers.

• Work directly with the CEO, CTO, and other founding members and help build out our team

Benefits:

• Competitive salaries

• Stock options

• 401(k) plan with match

• Daily catered lunches

• Fully stocked kitchen

Education Requirements:

• Ph.D. in Electrical Engineering, Computer Science, Robotics, Artificial Intelligence, Mathematics, or a related field

Experience Requirements:

• 1-3 years of hands-on experience in Autonomous Driving, Robotics, or Deep Learning

• 1-3 years of research experience in Reinforcement Learning, Behavior Prediction and/or Planning

Other Requirements:

• Deep knowledge of Autonomous Driving Behavior

• Experience with simulation environments

• Strong foundation in data structures

• Expertise in programming languages

• Demonstrated ability to publish research findings

Responsibilities:

• Develop novel algorithms in agent behavior prediction and AV planning

• Conduct research on combined prediction and planning models

• Work on Reinforcement Learning

Benefits:

• Competitive salaries

• Stock options

• 401(k) plan with match

• Daily catered lunches

• Fully stocked kitchen

Education Requirements:

• Ph.D. in Electrical Engineering, Computer Science, Robotics, Artificial Intelligence, Mathematics, or a related field

Experience Requirements:

• 1-3 years of hands-on experience in Autonomous Driving, Robotics, or Deep Learning

• 1-3 years of research experience in Generative Modeling, Behavior Prediction and/or Planning

Other Requirements:

• Deep knowledge of Autonomous Driving Behavior

• Experience with simulation environments

• Strong foundation in data structures

• Expertise in programming languages

• Demonstrated ability to publish research findings

Responsibilities:

• Develop novel algorithms in agent behavior prediction and AV planning

• Conduct research on combined prediction and planning models

• Work on marginal, conditional, and joint prediction

Benefits:

• Competitive salaries

• Stock options

• 401(k) plan with match

• Daily catered lunches

• Fully stocked kitchen

Education Requirements:

• Ph.D. in Electrical Engineering, Computer Science, Robotics, Artificial Intelligence, Mathematics, or a related field

Experience Requirements:

• 1-3 years of hands-on experience in Autonomous Driving, Robotics, or Deep Learning

• 1-3 years of research experience in Foundation Modeling, Perception / Behavior, Computer Vision

Other Requirements:

• Deep knowledge of Autonomous Driving

• Experience with sensor and behavior simulation environments

• Strong foundation in data structures

• Expertise in programming languages

• Demonstrated ability to publish research findings

Responsibilities:

• Develop novel end-to-end algorithms for Autonomy Stack

• Conduct research on foundation models for driving

• Develop robust, interpretable, and explainable Autonomous Driving models

Benefits:

• Competitive salaries

• Stock options

• 401(k) plan with match

• Daily catered lunches

• Fully stocked kitchen

Education Requirements:

• Ph.D. in Electrical Engineering, Computer Science, Robotics, Artificial Intelligence, Mathematics, or a related field

Experience Requirements:

• 1-3 years of hands-on experience in Autonomous Driving, Robotics, or Deep Learning

• 1-3 years of research experience in Mapping, Perception / Computer Vision

Other Requirements:

• Deep knowledge of ML Mapping

• Strong foundation in data structures

• Expertise in programming languages

• Demonstrated ability to publish research findings

Responsibilities:

• Work on the Offline and Online Mapping Research tracks

• Define the business metrics for Mapping assessment

• Continuously adjust the optimal Mapping feature format

Benefits:

• Competitive salaries

• Stock options

• 401(k) plan with match

• Daily catered lunches

• Fully stocked kitchen

Education Requirements:

• Ph.D. in Electrical Engineering, Computer Science, Robotics, Artificial Intelligence, Mathematics, or a related field

Experience Requirements:

• 1-3 years of hands-on experience in Autonomous Driving, Robotics, or Deep Learning

• 1-3 years of research experience in Uncertainty Estimation, Out-of-distribution, Statistics, Probability theory

Other Requirements:

• Deep knowledge of ML Uncertainty

• Strong foundation in data structures

• Expertise in programming languages

• Demonstrated ability to publish research findings

Responsibilities:

• Define the Uncertainty at the different levels of Autonomous Driving

• Estimate Data-dependent Uncertainty and detect anomalous inputs

• Estimate ML model-based Uncertainty and detect anomalous outputs

Experience Requirements:

• Deep expertise in speech-to-text, text-to-speech, and speaker recognition

• Solid understanding of theory, applications, and limitations of deep learning

• Experience with at least one mainstream deep learning framework

• Practical knowledge of data structures and algorithms

• Experience building complex and extensible software

Other Requirements:

• Hands-on experience with Python

• Hands-on experience with C

• Hands-on experience with PyTorch

• Hands-on experience with CUDA

• Knowledge of graph theory

• Knowledge of probability theory

Experience Requirements:

• Solid understanding of theory, applications, and limitations of deep learning

• Experience with at least one mainstream deep learning framework

• Practical knowledge of data structures and algorithms

• Experience building complex and extensible software

Other Requirements:

• Hands-on experience with Python

• Hands-on experience with C

• Hands-on experience with PyTorch

• Hands-on experience with CUDA

• Knowledge of graph theory

• Knowledge of probability theory

Experience Requirements:

• Solid understanding of theory, applications, and limitations of deep learning

• Experience with at least one mainstream deep learning framework

• Practical knowledge of data structures and algorithms

• Experience building complex and extensible software

Other Requirements:

• Hands-on experience with Python

• Hands-on experience with C

• Hands-on experience with PyTorch

• Hands-on experience with CUDA

• Knowledge of graph theory

• Knowledge of probability theory