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:

• Opportunity to join an innovative startup

• Work environment for developing talent and realizing ideas

• Flexible working arrangements

• Private health insurance

• Attractive salary

Education Requirements:

• Master's degree or PhD in biochemistry, molecular biology, cell biology, immunology or related field

Experience Requirements:

• 2+ years of industrial experience

Other Requirements:

• Ability to plan and execute biochemistry / molecular biology experiments

• Experience with recombinant protein expression and purification

• Experience with molecular cloning and mutagenesis techniques

• Analytical thinking and problem solving abilities

• Intrinsic motivation, accountability, and a commitment to professional development

• Excellent written and oral English communication skills

Responsibilities:

• Participating in brainstorms for new product and application ideas

• Producing and characterizing wild type and designed proteins

• Suggesting and developing analytical assays for protein characterization

• Developing and optimizing medium and high throughput workflows for protein expression and characterization

• Keeping detailed and accurate records of all lab work

Benefits:

• Opportunity to join an innovative startup

• Work environment for developing talent and realizing ideas

• Flexible working arrangements

• Private health insurance

• Salary range 2000-5000€/month

Education Requirements:

• M.Sc. in bioinformatics, structural biology, or other fields related to computational protein engineering

Experience Requirements:

• 3 years of industry/academia experience

Other Requirements:

• Skilled at rapidly analyzing scientific literature on new enzymes

• Good understanding of protein behavior _in vitro_

• Comfortable with popular protein sequence and structure analysis command-line tools, and Unix systems

• Comfortable with Python and data analysis

• Knowledge of collaborative software development best practices

• Excellent communication, reporting, and writing skills

• Ability to work both independently and in cross-functional teams

Responsibilities:

• Working in a team to engineer new enzymes by applying in-house developed tools

• Supporting the development of new workflows and algorithms

• Participating in brainstorms, proposing ideas for novel tools or applications

• Critically evaluating data generated by the experimental group and incorporating this knowledge into the design of improved protein variants

• Keeping detailed and accurate records of all work

Benefits:

• Fully remote working environment

• Possibility to work 4 days a week after your probation period

• Freedom to make an impact at a small, self-funded, and profitable tech startup

• Benefits and perks are described below

Education Requirements:

• BSc +4 or 5 years of experience in one of the following domains: IT, statistics, data, or engineering

Experience Requirements:

• 4 years of work experience in a data position

Other Requirements:

• Fluent in English

• You fluently speak SQL and Python (or any other data languages: R, Scala...) + Web Analytics

• You have already used at least one data management tool (Snowflake, DBT, Dataiku, Talend, etc.) and one data visualization tool (Tableau, Amplitude, Power BI, QlikView, etc.)

Responsibilities:

• Conduct descriptive and exploratory analyses to identify valuable insights

• Build dashboards and reports to monitor our performance, i.e., experiments, new features, and customer support

• Work on studies to develop our customer knowledge, i.e., segmentation and personas

• Cooperate with internal teams and support them with data insights to make better decisions

• Feedback on the implementation of our data infrastructure and tools

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

Education Requirements:

• Bachelors or Masters in Applied Mathematics or Computer Science from top engineering schools

• Strong background in Data Analysis, Machine Learning and Statistical Modeling

• Previous experience working on end-to-end data science projects

Experience Requirements:

• Previous experience working on end-to-end data science projects

Other Requirements:

• Strong problem solving skills and fast paced work ethic

• Interest in learning about Materials Science (prior knowledge is not required)

• Interest in building cutting-edge AI technologies to solve real-world problems

• Fast learner able to adapt to challenging environments

Responsibilities:

• solve complex data science problems

• work closely with cross-functional teams to uncover data-driven insights and develop machine learning models

• implement high-value data-oriented for our software to bring the highest value to our customers

• contribute to a strong mission where AI is key

Education Requirements:

• Bachelors or Masters in Applied Mathematics or Computer Science from top engineering schools

• Strong background in Data Analysis, Machine Learning and Statistical Modeling

Experience Requirements:

• Previous experience working on end-to-end data science projects is preferred

Other Requirements:

• Strong problem solving skills and fast paced work ethic

• Interest in learning about Materials Science (prior knowledge is not required)

• Interest in building cutting-edge AI technologies to solve real-world problems

• Fast learner able to adapt to challenging environments

Responsibilities:

• solve complex data science problems

• work closely with cross-functional teams to uncover data-driven insights and develop machine learning models

• implement high-value data-oriented for our software to bring the highest value to our customers

• contribute to a strong mission where AI is key

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

Benefits:

• Research & engineering startup spirit.

• Minimum bureaucracy.

• We’re open and encouraging of new ideas.

• Competitive salary.

• Employee stock options plan for anyone who brings value.

Experience Requirements:

• 2+ years of machine learning & AI experience in Python.

• Supervised, non-supervised & semi-supervised learning.

• Particular interest in deep learning and all its forms (convolutional, lstm, bayesian, GAN, etc.) networks.

• Experience with standard ML stacks, such as SVM, LSA, LDA, GD, DT, etc.

• Experience with TensorFlow, Keras, sklearn, pandas, and others.TensorflowJS is a plus

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

Education Requirements:

• A U.S. Bachelor’s Degree or a Foreign Equivalent Degree in Computer Engineering

Experience Requirements:

• 5+ years of progressive, post-baccalaureate experience in Management and Software Development

Responsibilities:

• Responsible for identifying opportunities to improve the product and customer experience across machine learning based solutions

• Building and designing the architecture of the products

• Managing a team of developers and data scientists to solve the customer problems and building the product providing strategic and tactical insights based on the technological developments