AI Jobs

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

Benefits:

• 401k

• RSUs

• Medical, dental & vision coverage

• Flexible PTO

• Mental health & physical fitness access providers & workout facilitiesParental leaveFertility benefits

Benefits:

• 401k

• RSUs

• Medical, dental & vision coverage

• Flexible PTO

• Mental health & physical fitness access providers & workout facilitiesParental leaveFertility benefits

Benefits:

• 401k

• RSUs

• Medical, dental & vision coverage

• Flexible PTO

• Mental health & physical fitness access providers & workout facilitiesParental leaveFertility benefits

Benefits:

• 401k

• RSUs

• Medical, dental & vision coverage

• Flexible PTO

• Mental health & physical fitness access providers & workout facilitiesParental leaveFertility benefits

Benefits:

• 401k

• RSUs

• Medical, dental & vision coverage

• Flexible PTO

• Mental health & physical fitness access providers & workout facilitiesParental leaveFertility benefits

Benefits:

• 8 full weeks per year of full remote

• Hybrid work model

• Mobility expenses

• Yearly public transport subscriptions or an ecologic voucher

• Good life-work balance

Experience Requirements:

• 4+ years of experience in the latest ML/AI algorithms, Python/Pyspark, Data science stack

Other Requirements:

• Team player

• Strong communicator

• Passion for finding pragmatic and smart solutions

• Solid understanding of math and statistics

• Basics of SQL

• Mastery of Jupyter, pandas, NumPy, matplotlib/seaborn, and scikit-learn

• Ability to write clean and maintainable Python code

• Proficient in English

Responsibilities:

• Designing experiments, testing hypotheses, and building models

• Conducting advanced data analyses and highly complex algorithms

• Discovering insights and identifying opportunities

• Providing data that is congruent and reliable, and validating findings

• Proposing innovative ways to look at problems

Benefits:

• Substantial Equity

• Unlimited Flexible Time Away (FTA)

• 401k Matching

• 90% Employee Medical Premium Coverage

• 65% Dependent/Family Medical Premium Coverage Flexible Spending Accounts Employee Referral Program Lunches & Snacks Commuter Benefits Life Insurance Travel Assistance

Education Requirements:

• Ph.D. in Computer Science or Electrical Engineering with a focus on computer vision

Experience Requirements:

• 5 years of industry experience, building and shipping computer vision systems

• 2 years of hands-on experience with deep neural network based methods

Other Requirements:

• Experience with object detection, classification, and tracking

• Strong software development skills

• US citizenship required due to federal requirements

Responsibilities:

• Work on highly impactful computer vision and machine learning problems our customers face

• Develop and productize computer vision algorithms drawing upon computer vision literature and using your own ingenuity

• Collaborate with engineering and product teams to create solutions

Education Requirements:

• B.Tech/B.E. in Any Specialization

Experience Requirements:

• 4+ Years

Responsibilities:

• Design, develop, and deploy AI and Machine Learning models using Python and related technologies.

• Collaborate with cross-functional teams to identify and understand business requirements and translate them into technical solutions.

• Train and fine-tune models using large datasets and apply advanced techniques to improve performance and accuracy.

• Develop and optimize algorithms to process and analyse complex data sets.

• Implement Natural Language Processing techniques like text classification, sentiment analysis, and language generation tasks whenever required

Benefits:

• Competitive salary and bonus structure

• World-class Medical & Accidental coverage

• Internet reimbursement

Education Requirements:

• BE/M.Tech degree required with technical focus (e.g. mathematics, computer science, physics, statistics)

• MS or PhD degree preferred

Experience Requirements:

• 7-10 years

Other Requirements:

• Knowledge of R and AI/ML is a must

Responsibilities:

• Execute the data vision strategy and goals ensuring those are consistent with the business requirements.

• As part of the Data Science team, help develop analytical capabilities, data products and tools to enable data query and deliver solutions to business requests

• Contribute and provide thought leadership to the business and key stakeholders.

• Develop new approaches to understand and solve complex business problems such as optimizing product performance and adoption.

• Generate actionable audience insights using advanced statistical techniques such as predictive statistical models, audience profiling, segmentation analysis and test design, exploratory analysis and data mining

Experience Requirements:

• Strong knowledge of statistical analysis, machine learning algorithms, and programming skills in Python

Responsibilities:

• Analyze large datasets to generate insights and improve our AI models

• Develop and train machine learning models for image generation

• Collaborate with engineers to deploy and integrate models into our platform

Benefits:

• Полностью удаленная работа

• Полная занятость или проектная работа

• Заработная плата по результатам собеседования

• Обучение и поддержка

Education Requirements:

• Приветствуется филологическое, лингвистическое, литературное образование

Experience Requirements:

• Опыт работы с текстами (копирайтинг, художественные тексты, написание технической документации и пр.)

• Дисциплинированность, умение самоорганизоваться

• Минимальные навыки работы с табличными данными

Responsibilities:

• Модерация информации на достоверность данных

• Сбор, подготовка и разметка наборов данных для формирования датасетов

Benefits:

• Работа в московском офисе, возможна удаленная работа

• Полная занятость, проектная занятость

• Интересные задачи: работа в стартап-проекте, научно-исследовательская работа

• Заработная плата по результатам собеседования

Experience Requirements:

• Опыт работы от 4-ти лет

• Опыт реализации и применения моделей машинного обучения

• Знание принципов работы нейросетевых моделей для обработки текста

• Желателен опыт работы с различными источниками данных: SQL, Cassandra, Hive, Presto, Kafka, и др.

• Уверенное владение Python (numpy, scipy, pytorch, sklearn)

Responsibilities:

• Разработка и внедрение в продакшн моделей машинного обучения

Benefits:

• Challenging Projects

• Entrepreneurial Team

• Autonomy in Work

• Learning Sessions

• Networking events

Education Requirements:

• A Master's or Bachelor's degree in Engineering, or a related field such as MCA/B.tech/MTech/ME/PhD is required

Experience Requirements:

• 3-6 years of hands-on experience in data analytics in a fast paced organization

Responsibilities:

• Get hands-on with data to solve complex business problems, brainstorm with team/stakeholders for efficient solutioning

• Translate the business problem into an analytical problem

• Strong hands-on experience with SQL and Python and PYSPARK (Preferred)

• Strong Expertise in manipulating, transforming, and analyzing complex, high-volume, high-dimensionality data from varying sources.

• Define key metrics for business functions that help in streamlining their operations and drive improvements

Benefits:

• €2000–4000 gross salary depending on the experience

• Remote work option

• Ability to grow with a dynamic startup and work on an exciting product

• Freedom to experiment with your ideas

Experience Requirements:

• At least 2 years of experience in a similar role

• Experience working with data in Python

• Experience with Looker, Tableau, or other business analytics tools

• Knowledge of SQL and NoSQL databases

Responsibilities:

• Find meaningful business insights in large-scale data

• Visualize the data, create dashboards and reports for the business

• Import and transform data for machine learning models

• Optimize the data collection, storage, and analysis on a large scale

Benefits:

• €2000–5000 gross salary depending on the experience

• Remote work option

• Ability to grow with a dynamic startup and work on an exciting product

• Freedom to experiment with your ideas

Experience Requirements:

• At least 2 years of Python development experience

• Experience building production-grade machine learning solutions

• Experience developing REST APIs

• Knowledge of TensorFlow, pytorch, pandas, and other popular ML packages

Other Requirements:

• Experience with natural language processing

• Experience developing recommender systems

• Experience with Docker, Kubernetes or other ML deployment strategies

Responsibilities:

• Develop an industry-leading natural language processing (NLP) system

• Develop travel product personalization engine

• Design, deploy, and monitor ML models in production

• Build APIs around machine learning models