AI Jobs

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, 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

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 and equity

• Lunch served every weekday

• Regular compensation reviews

• Pension scheme & match up to 4%

• Health and dental insurance

Education Requirements:

• MSc or PhD in an ML-related field, or similar knowledge

Experience Requirements:

• Experience leading, developing and supporting ML teams

• A 5+ year track record of IC contributions

• Track record shipping ML user-facing products

• Experience in a research environment

Other Requirements:

• Excellent applied ML and coding skills

• Ability to thrive in an ambiguous environment

• Strong communication skills

• Data skills (visualization, SQL etc.)

• Knowledge of software engineering practices

Responsibilities:

• Managing, mentoring and coaching a team of 10+ ML scientists

• Collaborating with ML, engineering, product, and design leaders

• Enabling team productivity, performance and reliability

• Expanding the team and promoting its brand

• Technical advice and occasional code reviews

Benefits:

• Fully remote working environment

• International team

• Flexible working time

• Home office budget up to €1500

• Book Allowance and Sharing Program

Experience Requirements:

• 3+ years of experience in analytics, analytics engineering, or a similar data role

• Strong SQL skills and solid experience with Python

• Hands-on experience with modern data stacks (Snowflake, dbt)

• Experience with analytics and visualization tools (Tableau, Looker)

Other Requirements:

• Comfortable working at the intersection of data, marketing, and business

• Strong ownership mindset

• Familiarity with web or product analytics tools (Amplitude, GA4)

Responsibilities:

• Conduct descriptive and exploratory analyses

• Build and maintain dashboards to monitor KPIs and experiments

• Design and maintain data models in Snowflake and dbt

• Support A/B testing efforts and metric definitions

• Communicate insights to non-technical stakeholders

Experience Requirements:

• Leaders with experience running research organizations or data-driven strategy teams

• Individuals who see GTM as a science

• Deeply curious, multidisciplinary thinkers fluent in AI, economics, and market systems

• Comfortable managing hybrid teams of humans, models, and agents producing open knowledge

Responsibilities:

• Oversees the institution’s open-source GTM research agenda

• Drives the roadmap for how OpenGTM codifies market knowledge

• Ensures the Lab functions as both an R&D engine and a public institution

• Leads a distributed network of researchers, AI systems, and contributors

Benefits:

• Company Equity Package

• 401(k) with 3% Employer Match & Roth 401(k)

• Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options)

• 11 Paid Holidays + Unlimited PTO & Sick Time

• 16 Weeks of Paid Parental Leave

Experience Requirements:

• 6+ years experience in data science or machine learning roles with direct experience on recommendation systems

Other Requirements:

• Strong technical skills in Python, SQL, and statistical modeling

• A self-starter mentality with the ability to thrive in ambiguity

• Applicants must be eligible to work in the US.

Responsibilities:

• Define content strategy: Partner with product and growth leaders to establish initial content discovery strategy

• Get hands-on: Dive deep into user behavior patterns and content characteristics

• Design and run experiments: Create rigorous testing frameworks to validate recommendation improvements

• Build evaluation systems: Develop comprehensive frameworks for measuring recommendation quality

• Collaborate cross-functionally: Work closely with engineering to test and implement recommendation algorithms

Benefits:

• Be part of a pioneering company

• Work on cutting-edge AI research

• Opportunity for significant real-world impact

• Join a team of top-tier AI researchers

• Culture that values curiosity and continuous learning

Education Requirements:

• Currently pursuing an M.Sc / PhD with thesis in a relevant STEM field

Experience Requirements:

• At least 1 year remaining in your studies

• Proven experience in Computer Vision

• Strong understanding of deep learning

• Excellent programming skills in Python

• Hands-on experience with deep learning frameworks such as PyTorch

Other Requirements:

• Availability to work 3 days per week on-site

• Demonstrated ability for independent research

• Hands-on mindset and motivation to work with data

• Experience working with video data for tasks such as action recognition

Responsibilities:

• Design, implement, and evaluate deep learning models

• Contribute to the research lifecycle from review to proof-of-concept

• Work hands-on with real-world video data analysis and preprocessing

• Collaborate with senior researchers to translate ideas into solutions

• Stay up to date with the latest advancements in computer vision

Experience Requirements:

• 6+ years building and deploying consumer-facing ML systems

• 2+ years leading or formally managing data scientists or ML engineers

Other Requirements:

• Strong Python skills

• Experience with Databricks or comparable ML platforms

• Experience with experimentation platforms or causal inference methods

• Background in subscription/SaaS businesses

• Familiarity with TypeScript

Responsibilities:

• Ship production ML systems

• Own outcomes end-to-end

• Build and develop the team

• Partner across the business

• Set technical direction

Benefits:

• Strong focus on learning

• Cutting-edge AI challenges

• Inspiring community environment

Experience Requirements:

• 6+ years

Benefits:

• Strong focus on learning

• Cutting-edge AI challenges

• Inspiring community environment

Experience Requirements:

• 6-8 years

Education Requirements:

• Master’s Degree in Computer Science, Computer Applications, Computer Information Systems or Related.

Experience Requirements:

• 2years experience as a Data Analyst, Data Architect or related.

Other Requirements:

• Travel/relocation to various unanticipated client sites within the United States is required.

Responsibilities:

• Design databases to support business applications, ensuring system scalability, security, performance, and reliability.

• Develop database architectural strategies at the modeling, design, and implementation stages to address business or industry requirements.

• Collaborate with system architects, software architects, design analysts, and others to understand business or industry requirements.

• Develop data models for applications, metadata tables, views, or related database structures.

• Set up database clusters, backup, or recovery processes.