Benefits:

• Flexible working hours

• Hybrid & remote work options

• Paid time off & sick days

• Hardware contribution

• MultiSport card (CZ/SK only)

Experience Requirements:

• Python coding skills for prototypes and analysis

• Knowledge of contemporary ML and statistics

• Experience with NLP/LLMs (nice to have)

• Experience with production ML systems (nice to have)

Other Requirements:

• Open to learn new technologies and science topics

• Ability to understand technical or business problems

• Collaborative mindset

Responsibilities:

• Build prototypes of search and recommender systems

• Design, run and analyze experiments at scale

• Collaborate with engineering and product teams

• Learn state of the art science for product improvement

• Handle projects processing thousands of requests per second

Education Requirements:

• Strong mathematical and statistics background

Experience Requirements:

• 2 to 4 years of relevant industry experience

• Experience in machine learning frameworks such as Tensorflow, Caffe, PyTorch, or MxNet

• Experience in using design patterns, algorithms and data structures

• Hands on development experience in Python and packages such as NumPy, Sci-Kit Learn and Matplotlib

• Experience in model building

Other Requirements:

• Experience in Linear algebra, statistics & Probability skills

• Experience in feature engineering, model performance tuning, and optimizing machine learning models

• Skills in Computer Vision and Deep Learning

Responsibilities:

• Analyze large amounts of raw information to find patterns

• Build data products to extract valuable business insights

• Analyze trends to make better decisions

Benefits:

• Comprehensive Health Insurance

• Paid Leave (Vacation/PTO)

• Paid Holidays

• Sick Leave

• 401 (k) Employer Match

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

Experience Requirements:

• Hands-on experience designing applications using LLMs

• Python programming experience

• Experience with Google Gemini, OpenAI GPT, or LLaMA

Other Requirements:

• Experience with LLM model fine-tuning

• Google Cloud Vertex AI experience

• Classic Machine Learning knowledge

Responsibilities:

• Build Generative AI applications for document summarization

• Develop applications on Google Cloud

• Suggest new ideas and features to the team

• Implement state-of-the-art techniques for AI and LLMs

• Work on research, experimentation, and implementation

Benefits:

• Competitive compensation including salary, equity, and rapid growth potential

• 100% company-paid Medical, Dental, and Vision coverage for employees

• FSA, HSA, and 401(k) options

• Generous paid time off plus company-wide holidays

• Commuter benefits

Experience Requirements:

• 4+ years of experience in investigations, corporate due diligence, or business intelligence

• Experience in forensic research, KYC/AML, or similar primary-source research roles

Other Requirements:

• Fluent in English & Mandarin

• Ability to read and interpret content across Chinese- and English-language sources

• High business acumen and interest in global trade and supply chains

• Proven analytical skills and attention to detail

• Strong technical proficiency

Responsibilities:

• Design, build, and maintain curated datasets of companies and corporate networks

• Regularly update and refine WireScreen Collections based on rigorous criteria

• Partner with engineering to ensure data quality and monitor source health

• Educate customer-facing teams on data validation and scope new collections

• Analyze corporate documents in Chinese and English to verify data integrity

Education Requirements:

• PhD preferred

• Strong background in CS, mathematics, ML, and research

Experience Requirements:

• 3+ years of research experience in NLP, Gen AI, and related areas

Other Requirements:

• Ready to work full-time from our Pune office

• No remote/hybrid

Responsibilities:

• Making sense of unstructured enterprise data

• Pushing AI recommendation accuracy closer to 100%

• Building governance, observability & explainability frameworks

• Designing complex multi-agent workflows

• Domain-specific fine-tuning

Benefits:

• Generous equity package

• Unlimited PTO

• Top-of-market salary

• Great healthcare

Experience Requirements:

• Strong AI Applied Researcher with experience building complex AI applications

• Experience with NLP, ML algorithms

• Experience contributing to research projects from PoC stage to production

• Experience with LLMs, Agents and RAG - Advantage

• Experience using LLMs / Deep Learning models - Advantage

Other Requirements:

• Ability to roll up your sleeves and get things done

• A great communicator and team player

Responsibilities:

• Research and optimization agentic flows to solve complex problems

• Participate in PoCs using bleeding edge technologies

• Build and optimize retrieval-augmented generation (RAG) service

• Fine tune LLMs to optimize accuracy and cost

Benefits:

• Be part of a rapidly growing company at the forefront of AI automation and conversational AI solutions

• Shape solutions that make a measurable impact for Fortune 500 clients and leading European enterprises.

• A culture comprised of diverse, global teams who have a passion for collaboration, creativity, and excellence

• A competitive salary and scope for further advancement.

• A great environment that promotes open feedback and a flat hierarchy

Education Requirements:

• Strong understanding of fundamentals of Computer Science.

Experience Requirements:

• Candidates should have 2-3 years of experience in the fields of machine learning, deep learning, LLM-based models, NLP, and data science.

• Hands-on experience in developing & running machine learning applications in production.

Other Requirements:

• Strong skills in Python.

• Familiarity with training and serving large language models in production.

• Hands on experience in building and implementing advanced statistical analysis and machine learning and data mining.

Responsibilities:

• Responsible for design and development of deep learning & LLM based models on unstructured and Structured Data.

• Focus on not just on designing the algorithm but also on delivering it at scale.

• Build and deploy deep learning techniques in production.

• Design and develop software modules that perform data ingest, data transform, and analytics tasks.

• Deliver customized solutions in a timely manner.

Experience Requirements:

• 5+ years building ML systems, especially in computer vision

• Applied AI Expertise

• Production Experience deploying ML models

Other Requirements:

• Proficiency in Python and ML libraries (e.g. PyTorch, TensorFlow)

• Knowledge of cloud platforms (ideally AWS) and scalable data pipelines

• Ability to work across teams and communicate complex ideas clearly

• Analytical thinking and a focus on continuous improvement

Responsibilities:

• Design and optimise scalable ML systems, focusing on computer vision

• Develop and productionise deep learning models using Python

• Align research, engineering, and product goals through hands-on leadership

• Support junior team members and promote best practices

• Collaborate directly with enterprise clients for solution integration

Experience Requirements:

• 5+ years building ML systems, especially in computer vision

• Applied AI Expertise

• Production Experience deploying ML models

Other Requirements:

• Proficiency in Python and ML libraries (e.g. PyTorch, TensorFlow)

• Knowledge of cloud platforms (ideally AWS) and scalable data pipelines

• Ability to work across teams and communicate complex ideas clearly

• Analytical thinking and a focus on continuous improvement

Responsibilities:

• Design and optimise scalable ML systems, focusing on computer vision

• Develop and productionise deep learning models using Python

• Align research, engineering, and product goals through hands-on leadership

• Support junior team members and promote best practices

• Collaborate directly with enterprise clients for solution integration

Benefits:

• Pension scheme

• Generous holiday entitlement

• Training and development

• Family Friendly policies

• On campus childcare facilities

Education Requirements:

• PhD in Computer Science, Artificial Intelligence, Mathematics, Physics, Data Science, Bioengineering, or a related discipline

Experience Requirements:

• Ability to complement and enhance the research project and department’s strengths

Other Requirements:

• Strong written and verbal communication skills

Responsibilities:

• Design, implement, and document AI algorithms for deep learning, computer vision, and signal processing

• Develop and refine imaging analytics pipelines to extract key metrics from video and time-series data

• Train, retrain, and optimize deep learning models

• Perform time-series processing and statistical analysis to extract bio-patterns

• Develop tools for monitoring data flow, visualization, and research platform interfaces

Benefits:

• Pension scheme

• Generous holiday entitlement

• Training and development

• Family Friendly policies

• On campus childcare facilities

Education Requirements:

• PhD in Human-Computer Interaction, Cognitive Neuroscience, Psychology, Behavioral Science, or a related discipline

Experience Requirements:

• Experience in organizing and conducting experiments with human participants and technology

• Knowledge of eye-tracking and/or pupillometry techniques is desirable

Other Requirements:

• Strong written and verbal communication skills

Responsibilities:

• Manage, prepare, and conduct eye-tracking experiments in lab and remote settings

• Organize and curate large datasets, ensuring high-quality data collection and analysis

• Develop questionnaires and conduct fieldwork to support research objectives

• Identify trends and patterns in eye-tracking and pupillometry data

• Conduct qualitative and quantitative analysis to inform study outcomes

Benefits:

• Equity package

• Flexible working model

• Private health insurance

• Workout sessions with a personal trainer

• Daily office-provided lunch

Education Requirements:

• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or related field

Experience Requirements:

• 4+ years of experience as a Data Analyst or in a similar analytical role

• Proficiency in SQL for data extraction and manipulation, dbt

• Strong experience with data visualization tools (e.g., Lightdash, Tableau, Power BI, Looker)

• Solid understanding of statistical analysis and experimental design

• Experience with scripting languages (e.g., Python, R) for data analysis

Other Requirements:

• Excellent analytical, problem-solving, and critical thinking skills

• Ability to translate complex data insights into business recommendations

• Bonus: Master's degree, cloud platform experience (GCP, AWS), knowledge of machine learning

Responsibilities:

• Collect, clean, and process large datasets from various sources

• Perform data analysis to identify trends, patterns, and anomalies

• Develop and maintain ETL pipelines, dashboards and reports

• Design and execute A/B tests

• Collaborate with product, engineering and marketing

Benefits:

• competitive salary

• generous equity stake

• wide range of benefits

• career progression opportunities

Education Requirements:

• PhD in biochemistry, molecular biology, biophysics, bioengineering, or a related field

Experience Requirements:

• Demonstrated hands-on experience with microfluidics for biological applications

Other Requirements:

• Strong verbal and written communication skills in English

• Ability to run multiple projects simultaneously

• Experience with large-scale DNA library construction (nice-to-have)

• Experience with display platforms like yeast or phage (nice-to-have)

• Experience with flow cytometry and FACS (nice-to-have)

Responsibilities:

• Develop and optimize microfluidics-based workflows for protein screening

• Design and execute experiments for library construction and screening

• Drive projects independently from experimental design through data delivery

• Partner with ML team to define data requirements

• Communicate results and technical challenges across disciplines

Benefits:

• competitive salary

• generous equity stake

• wide range of benefits

• career progression opportunities

Education Requirements:

• PhD in bioengineering, bioinformatics, molecular biology, structural biology, or a related field

Experience Requirements:

• 5+ years of experience in a scientific role directly related to protein engineering in industrial biotech or biopharma

Other Requirements:

• Proficiency in data analysis using Python and relevant libraries

• Deep knowledge of the protein engineering R&D process

• Demonstrated interest in AI-guided protein design approaches

• Experience with customer-facing roles in biotech (nice-to-have)

• Experience with applying machine learning to protein engineering (nice-to-have)

Responsibilities:

• Advise on identifying protein optimisation projects

• Translate scientific goals of projects into objectives for the Cradle platform

• Understand customer assays and workflows

• Ensure quality/formatting of customer data is suitable for machine learning

• Train scientists to use Cradle’s platform

Benefits:

• competitive salary

• generous equity stake

• wide range of benefits

• career progression opportunities

Education Requirements:

• PhD in molecular biology, bioengineering, bioinformatics, or a related field

Experience Requirements:

• 5+ years of experience in biopharma in a scientific role in protein engineering, focusing on antibodies

Other Requirements:

• Deep knowledge of the biopharmaceutical R&D process, methods, and tooling

• Excellent analytical and communication skills

• Ability to build strong relationships with a variety of stakeholders

• Experience with machine learning (nice-to-have)

• Proficiency in Python and relevant data science libraries (nice-to-have)

Responsibilities:

• Advise on identifying protein optimisation projects

• Translate scientific goals of projects into objectives for the Cradle platform

• Understand customer assays and workflows

• Ensure quality/formatting of customer data is suitable for machine learning

• Train customers to use Cradle’s platform

Benefits:

• Competitive salary and equity

• Lunch served every weekday

• Regular compensation reviews

• Health and dental insurance

• Open vacation policy

Education Requirements:

• Typically have advanced education in ML or related field (e.g. MSc)

• PhD or other experience in a research environment

Experience Requirements:

• 5-8 years applied ML experience

• Previous background in a senior/staff role

• Track record shipping ML products

Other Requirements:

• Strong programming skills

• Experience as the primary technical leader for a team

• Strong communication skills

• Scientific thinking skills

• Comfort with ambiguity

Responsibilities:

• Hiring, mentoring and career development of other engineers

• Raise the bar for technical standards and excellence

• Identify areas where ML can create value

• Identify the right ML framing of product problems

• Conduct exploratory data analysis and research

Benefits:

• Competitive salary, annual bonus and equity

• Regular compensation reviews

• Generous paid time off above statutory minimum

• Generous family leave (maternity, paternity)

• Hybrid working

Education Requirements:

• Typically have advanced education in ML or related field (e.g. MSc)

• PhD or other experience in a research environment

Experience Requirements:

• 3-5 years applied ML experience

• Track record shipping ML products

Other Requirements:

• Broad applied machine learning knowledge

• Practical stats knowledge

• Intermediate programming skills

• Strong communication skills

• Comfort with ambiguity

Responsibilities:

• Identify areas where ML can create value for our customers

• Identify the right ML framing of product problems

• Working with teammates and Product and Design stakeholders

• Conduct exploratory data analysis and research

• Research and identify the right algorithms and tools

Benefits:

• Competitive salary and equity

• Lunch served every weekday

• Regular compensation reviews

• Pension scheme & match up to 4%

• Health and dental insurance

Education Requirements:

• Typically have advanced education in ML or related field (e.g. MSc)

• PhD or other experience in a research environment

Experience Requirements:

• 3-5 years applied ML experience

• Track record shipping ML products

Other Requirements:

• Broad applied machine learning knowledge

• Practical stats knowledge

• Intermediate programming skills

• Strong communication skills

• Scientific thinking skills

Responsibilities:

• Identify areas where ML can create value for our customers

• Identify the right ML framing of product problems

• Working with teammates and Product and Design stakeholders

• Conduct exploratory data analysis and research

• Research and identify the right algorithms and tools

Benefits:

• Competitive salary and equity

• Lunch served every weekday

• Regular compensation reviews

• Pension scheme & match up to 4%

• Health and dental insurance

Education Requirements:

• Typically have advanced education in ML or related field (e.g. MSc)

• PhD or other experience in a research environment

Experience Requirements:

• 3-5 years applied ML experience

• Track record shipping ML products

Other Requirements:

• Broad applied machine learning knowledge

• Practical stats knowledge

• Intermediate programming skills

• Strong communication skills

• Scientific thinking skills

Responsibilities:

• Identify areas where ML can create value for our customers

• Identify the right ML framing of product problems

• Working with teammates and Product and Design stakeholders

• Conduct exploratory data analysis and research

• Research and identify the right algorithms and tools

Benefits:

• Competitive salary and equity

• Lunch served every weekday

• Regular compensation reviews

• Pension scheme & match up to 4%

• Health and dental insurance

Education Requirements:

• Advanced education in math/stats (e.g. PhD or MSc) (bonus)

Experience Requirements:

• 5+ years of analytics / data science experience

• Strong track record of business or product analytics (bonus)

Other Requirements:

• Strong data wrangling skills (Snowflake)

• Excellent storytelling skills

• Extremely sharp applied statistical skills

• Intermediate programming skills

• Solid theoretical foundation in stats and ML

Responsibilities:

• Identify areas where ML can create value for our customers

• Conduct exploratory data analysis and research

• Help scientists and engineers analyse and visualize AI changes

• Use cutting edge AI tools (such as LLMs)

• Help understand core business and product questions