AI Jobs

Benefits:

• competitive pay

• company paid healthcare

• flexible spending accounts

• voluntary life insurance

• 401K matching

Education Requirements:

• PhD in biochemistry, cell biology, cancer biology, pharmacology, or related discipline

• MS with 7+ years of experience

• BS with 9+ years of experience

Experience Requirements:

• 2 - 8 years of relevant academic or industry experience (PhD)

• Experience in cancer research, mechanism of action/resistance, or translational biomarker development

• Hands-on experience in in vivo pharmacology

Other Requirements:

• Strong proficiency in cell and molecular biology

• Experience developing and troubleshooting biochemical and cell-based assays

• Excellent communication skills

Responsibilities:

• Work closely with Biology group to design translational studies

• Design and manage in vivo pharmacology studies at CROs

• Design and execute hands-on experiments in cell and molecular biology

• Analyze and interpret data from internal experiments and CRO deliverables

• Conduct literature reviews to support biomarker strategies

Benefits:

• competitive pay

• company paid healthcare

• flexible spending accounts

• voluntary life insurance

• 401K matching

Education Requirements:

• BS in Chemistry

• MS in Chemistry

Experience Requirements:

• 5+ years experience (pharma/biotech) for BS

• 3+ years experience (pharma/biotech) for MS

• 5+ years of experience contributing to drug discovery projects

Other Requirements:

• Proven skills in multi-step organic synthesis

• Reaction optimization and SAR analysis skills

• Ability to thrive in a fast-paced environment

• Familiarity with ADME-PK principles

Responsibilities:

• Design, synthesize, purify, and characterize chemical compounds

• Identify and optimize reaction conditions

• Collaborate with the high-throughput experimentation team

• Analyze biological and ADME-PK data

• Partner with computational chemists

Benefits:

• competitive pay

• company paid healthcare

• flexible spending accounts

• voluntary life insurance

• 401K matching

Education Requirements:

• PhD or equivalent degree in computational chemistry (or related field)

Experience Requirements:

• 5+ years of experience working in an industry drug discovery environment

• Experience supporting active small molecule drug discovery programs

• Experience with ligand and structure based design tools

Other Requirements:

• Python programming

• Familiarity with MOE molecular modeling package

• Familiarity with MD simulation and advanced binding affinity prediction methods

• Experience with ML-augmented small molecule discovery

Responsibilities:

• Apply ligand and structure-based approaches across drug discovery phases

• Guide design cycles through SAR identification

• Partner with medicinal chemists to prioritize virtual libraries

• Partner with ML scientists to integrate SBDD methods

• Leverage proprietary protein-ligand co-folding technology

Benefits:

• competitive pay

• company paid healthcare

• flexible spending accounts

• voluntary life insurance

• 401K matching

Education Requirements:

• PhD or equivalent degree in chemistry or another physical science

Experience Requirements:

• 3+ years of experience or commensurate degree and job experience

• 3+ years of experience working in a drug discovery project

Other Requirements:

• Python programming

• Statistics knowledge

• Familiarity with using statistical analysis techniques to evaluate models

• Excellent written and verbal communication skills

Responsibilities:

• Train, fine-tune, and evaluate machine learning models

• Partner with computational chemists, medicinal chemists and biologists

• Generate value from machine learning models internally and for partners

• Communicate results with internal drug discovery teams

• Support evolution of ML models by gathering analytical feedback

Education Requirements:

• Ph.D. in Artificial Intelligence

Responsibilities:

• We are looking for Ph.D. in Artificial Intelligence, if you are interested please complete the form below.

Experience Requirements:

• 3-6 years

Responsibilities:

• Help us push the boundaries of AI-powered code generation and understanding.

• Work on cutting-edge ML models and systems.

Experience Requirements:

• 2-5 years

Responsibilities:

• Analyze user behavior

• Improve our AI models

• Drive data-informed product decisions

Education Requirements:

• Bachelor’s degree in Computer Science, Engineering, Software Engineering, Applied Mathematics, Statistics, or related field

• Masters/PhD in Data Science, Machine Learning or AI (Desired)

Experience Requirements:

• Relevant data science or machine learning engineering experience

• Programming experience, preferably fluent with Python and SQL

• Familiar with fundamental machine learning theory

• Experience with at least one Cloud provider

• Experience with building training and inference pipelines for ML projects

Other Requirements:

• Strong analytical skills and passion for solving data problems

• Strong communications skills

• Understanding of database architectures

• AWS certifications

• Interested in learning more about Cloud Native Computing Foundation technologies

Responsibilities:

• Exploratory data analysis

• Implementing data pipelines

• Training models (machine learning or not)

• Data visualisation

• Communicate effectively with both business and technical stakeholders

Benefits:

• Generous compensation in cash and equity

• Flexible paid time off

• Health insurance coverage

• Annual health and wellness stipend

• Monthly meal stipend

Education Requirements:

• Advanced degree in a quantitative field (Mathematics, Statistics, Computer Science, etc.)

Experience Requirements:

• 5+ years of experience in data science or quantitative modeling

Other Requirements:

• Strong working knowledge of Python, R, Spark, or SQL

• Critical thinking and problem-solving skills

• Ability to explain technical findings to non-technical stakeholders

Responsibilities:

• Build and deploy ML models to prevent fraud

• Support development of risk mitigation strategies

• Work directly with clients to deliver solutions

• Evolve risk metrics and measurement of impact

• Collaborate with engineering to scale models

Benefits:

• Real impact on client strategies

• Diverse project portfolio

• Growth paths into consulting or AI engineering

• Flexible working hours

• High-end equipment

Experience Requirements:

• Minimum of 4 years of experience in Data Science

• Proficiency in classical and non-linear ML techniques

• Fluent Python programming (NumPy, pandas, scikit-learn)

• Ability to manage and analyze data using SQL

• Ability to translate data into actionable business insights

Other Requirements:

• Strong communication skills

• Ability to explain complex concepts simply

Responsibilities:

• Data exploration and cleaning

• Predictive modeling and time-series analysis

• Generating business insights directly supporting decisions

• Creating data visualizations and dashboards

• Collaborating with AI engineers and product teams

Experience Requirements:

• top tier

Other Requirements:

• n8n

• OpenAI AgentKit

• OpenAI ChatKit

Responsibilities:

• Data & Insights / Streaming

• Machine Learning research for creative tech

Responsibilities:

• Data & Insights / Streaming

• Managing core ad metrics

Responsibilities:

• Data & Insights / Streaming

• Machine Learning infrastructure

Benefits:

• Flexible working hours

• Hybrid & remote work options

• Hardware contribution

• MultiSport card

• Self-development allowance

Education Requirements:

• Knowledge of contemporary ML and statistics

Experience Requirements:

• Python coding skills

• Experience with NLP tasks or agentic systems

• Experience with production ML/AI systems

Other Requirements:

• Open to learn new technologies

• Ability to evaluate solutions using data

Responsibilities:

• Build prototypes of new search and LLM systems

• Design, run and analyze experiments at scale

• Collaborate with engineering teams

• Learn state of the art science

• Handle projects processing thousands of requests per second

Benefits:

• Fully remote position

• Flexible working hours

• Mentoring and support in advanced ML

• Modern development and deployment workflows

• High impact and cutting edge R&D

Education Requirements:

• Bachelor's Degree or an equivalent in a STEM field

Experience Requirements:

• Strong knowledge of computer vision

• Solid Python programming experience

• Experience applying ML to computer vision problems

• Fine-tuning generative vision models

• Understanding of ML fundamentals

Other Requirements:

• Experience with prompt engineering

• Excellent communication and listening skills

• Grasp of ML math (linear algebra, probability, etc.)

Responsibilities:

• Experiment with and evaluate visual domain ML models

• Iterate quickly for early and frequent deployment

• Write well-structured and tested code

• Participate in code reviews and design sessions

• Stay updated on technological developments

Benefits:

• Competitive location-adjusted stipend

• Conference and travel support

• Weekly 1:1 mentorship

• Adequate compute resources

• Remote work environment

Experience Requirements:

• Prior publications showing self-directed research

Other Requirements:

• Topic of interest proposal

• Github / scholar / x links

• Analysis of one current project

Responsibilities:

• Spend 80% of time on own research

• Focus on high risk frontier research

• Participate in wider research programs

• Produce 1-2 papers with code per year

• Write a final report if publication is unmet

Benefits:

• Redefining the design process

• Work fast and value clear communication

• Strong community of creators

• Ship consistently

• Care about innovating

Experience Requirements:

• 3+ years

• Experience with 3D generative models or other generative models (Diffusion, Transformers, GAN, LLM)

Other Requirements:

• US citizen/visa only

• Share links to research papers you participated in as a major author/contributor

• Skilled in Python and PyTorch

• Familiarity with CUDA is beneficial

• Demonstrated ability to work with large datasets

Responsibilities:

• Lead research efforts for generative models and algorithms

• Work alongside other teams to integrate models in our 3d editor

• Research, train, and implement models for different types of visual/media outcomes

Benefits:

• Competitive salary

• Work on groundbreaking projects

Experience Requirements:

• Experience in AI/ML, fashion tech, or sustainability-focused roles

• Previous R&D experience (bonus points if you’ve worked with AI or fashion technologies!)

Other Requirements:

• A creative thinker who loves to innovate and solve complex challenges

• Passionate about both tech and sustainability

Responsibilities:

• Lead the development and enhancement of our AI-powered upcycling suggestions

• Work closely with the tech team to evolve our machine-learning models

• Stay on top of fashion and sustainability trends

• Analyze user feedback to refine our app