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

Benefits:

• Engaged team

• Summits

• Growth opportunities

• Work-life balance

• Hybrid working policy (Office-first, flexible approach)

Experience Requirements:

• Passionate about data and algorithms

• Problem-solving mindset

• Excellent task management and self-leadership

• Strong foundation in Python, SQL, Databricks, and Azure

Other Requirements:

• User-centric approach

• Collaborative and humble team player

Responsibilities:

• Design algorithms and machine learning models

• Develop targeting features

• Solve challenges related to segmentation and predictive analytics

Benefits:

• A comfortable and relaxed working atmosphere in a small, enthusiastic, young team

• Salary according to industry expectations, constantly re-evaluated while you learn and gain more experience

• Flexible working hours

• Work from home and occasional remote work

• A chance for further professional development through research, practical applications and knowledge sharing with co-workers

Education Requirements:

• Bachelor/Master of Mathematics, Statistics, Computer Science or similar technical/quantitive field

Experience Requirements:

• 1-2 year experience at an analytics/data science position

Other Requirements:

• Good knowledge of mathematics, statistical modelling and basic understanding of machine learning principals and algorithams

• Experience in programming, preferably R and python, or similar languages

• Basic knowledge of databases and SQL

• Good knowledge of written/spoken english

• basic knowledge and experience using Git

• experience with online marketing platforms

Responsibilities:

• developing and improving mathematical / machine learning models for solving specific e-commerce problems

• implementation of models (in R and python)

• education in online advertising and possibly working directly with e-commerce customers in order to better understand their needs

Other Requirements:

• You are able to program in Python, and you are familiar with modern Deep Learning and NLP theory and main techniques, such as Transformers, Named Entity Recognition, word embeddings and text classification

Benefits:

• Lots of influence and ownership of tech and product

• Greenfield development and use of new tech

• Lean development processes with plenty of focus time

• Time set aside for free exploration and learning

• Flexible hours

Education Requirements:

• Bachelor degree or higher in Computer Science or similar

Experience Requirements:

• At least 5 years working experience

Other Requirements:

• Experience in algorithm programming (Python, JavaScript/TypeScript)

• Experience with AI and ML

Responsibilities:

• Developing and implementing advanced analytics and machine learning techniques

• Training models from a library of floor plans and graphs

• Deploying models on the backend to create generative tools

• Setting up data processing pipelines

Benefits:

• Choice of medical, dental, and vision insurance plans for you and your family

• Flexible paid time off and 10+ holidays per year

• A stipend to upgrade your home office for fully-remote roles

• 401k for US-based employees

Education Requirements:

• Bachelor's degree in Computer Science, Machine Learning, Statistics, or other fields of advanced quantitative study; advanced degree preferred

Experience Requirements:

• Experience building machine learning systems deployed to production

• Industry or research experience in NLP, information retrieval, or entity resolution

Other Requirements:

• Ability to communicate technical ideas or issues in easy-to-understand and actionable terms

• Ability to translate theory and new ideas into practical shippable solutions

• Ability to learn quickly and proactively seek-out opportunities to work cross-functionally and with a diverse group of people

• Someone who thrives on data-driven development and is always looking for ways to analyze and improve with data

• Someone who's looking for new challenges to take their craft to the next level

Responsibilities:

• You will build and deploy machine learning models in production that tangibly impact the lives of our customers

• You will be a strategic partner for leaders across the organization on driving business impact through machine learning

• Build strong partnerships with product teams to understand and proactively address future technology needs and current developer pain points

• Develop methods and algorithms from first principles where necessary as opposed to relying fully on packaged third-party solutions

Benefits:

• Choice of medical, dental, and vision insurance plans for you and your family

• Flexible paid time off and 10+ holidays per year

• A stipend to upgrade your home office for fully-remote roles

• 401k for US-based employees

Education Requirements:

• Bachelor's degree in Computer Science, Machine Learning, Statistics, or other fields of advanced quantitative study; advanced degree preferred

Experience Requirements:

• 2 years of experience in a people management role with direct reports, excluding tech lead positions

Other Requirements:

• Strong proficiency with the latest Large Language Model (LLM) technologies

• High proficiency in a procedural programming language (e.g. Python)

• Strong communication skills with the ability to distill complex concepts into understandable insights for non-technical stakeholders

• Strong leadership and mentorship skills and experience, with a passion for guiding and developing other team members

• Previous experience in the legal or healthcare technology fields is a plus, but not required

Responsibilities:

• Develop and implement career progression frameworks to guide the growth of your direct reports

• Provide mentorship, coaching, and resources to support the technical and career development of team members

• Foster a culture of continuous learning and professional growth within the organization

• Collaborate with engineering and product teams to define the strategic direction of the product for the assigned squad

• Coordinate with cross-functional partners to align on product priorities and roadmap objectives

Benefits:

• Choice of medical, dental, and vision insurance plans for you and your family

• Flexible paid time off and 10+ holidays per year

• A stipend to upgrade your home office for fully-remote roles

• 401k for US-based employees

Education Requirements:

• PhD in Machine Learning, Computer Science, or other quantitive field

Experience Requirements:

• 10+ years of experience in machine learning with multiple models deployed in operational settings

Other Requirements:

• Strong proficiency with the latest Large Language Model (LLM) technologies

• Expertise in one or more areas of machine learning, such as deep learning, reinforcement learning, probabilistic modeling, or optimization

• Strong communication, collaboration, and coaching skills

• High proficiency in a procedural programming language (e.g. Python)

• Ability to translate and apply cutting edge research into practical solutions

• Strong leadership and mentorship abilities, with a passion for guiding and developing other team members

Responsibilities:

• Stay on top of the latest advancements in ML and prompt engineering and direct the team to adjust direction accordingly

• Build and deploy models in production that tangibly impact the lives of our customers

• Help set team best practices on how prompting experimentation and development is done; design and implement efficient procedures for benchmarking and optimizing prompt performance

• Provide technical leadership and mentorship for a highly skilled team of data scientists and machine learning engineers, guiding them in solving complex business problems

• Act as a strategic advisor for leaders across the organization on driving business impact through machine learning

Benefits:

• Equity

Education Requirements:

• BS or MS degree in CS, AI, or applied math

Experience Requirements:

• 5+ years of experience building AI/ML based products in NLP domains

• Strong understanding of deep learning AI/ML frameworks or cloud services

• Hands-on ML Ops experience

Responsibilities:

• Create and ship highly-differentiated AI experiences

• Craft Tome's AI/ML strategy

• Identify user needs for AI/ML solutions

• Prototype LLM-powered experiences

• Help build a world-class AI/ML engineering team

Benefits:

• Equity

Education Requirements:

• 5+ years of industry experience in NLP

Experience Requirements:

• 5+ years of industry experience in NLP

• Strong understanding of deep learning AI/ML frameworks or cloud services

• Hands-on ML Ops experience

• Deep expertise in NLP and model training, specifically with LLMs

• Proven experience adapting open-source generative models

Responsibilities:

• Create and ship highly-differentiated AI experiences

• Craft Tome's AI/ML strategy

• Pioneer the training of new models

• Prototype LLM-powered experiences

• Help build a world-class AI/ML engineering team

Benefits:

• Global workplace

• Remote workforce culture

• Performance-driven rewards

Benefits:

• Global workplace

• Remote workforce culture

• Performance-driven rewards