AI Jobs

Education Requirements:

• Master’s or Ph.D. in Computer Science, Machine Learning, Data Science, or Statistics

Experience Requirements:

• 3+ years of hands-on experience in applied machine learning and data science

• Experience training and fine-tuning large-scale models (LLMs, transformers)

• Experience working on applied AI problems across NLP or computer vision

Other Requirements:

• Hands-on expertise with PEFT approaches such as LoRA

• Proficiency in PyTorch, TensorFlow, and Hugging Face

• Knowledge of GPU/TPU optimization and mixed precision training

Responsibilities:

• Design, evaluate, and improve models using validation strategies

• Adapt foundation models to domain-specific applications

• Collaborate with product and engineering stakeholders

• Translate research into practical, scalable solutions

• Provide technical guidance to junior scientists

Education Requirements:

• Master’s or Ph.D. in Computer Science, Machine Learning, Data Science, or Statistics

Experience Requirements:

• 5+ years of hands-on experience in applied machine learning and data science

• Experience in training and fine-tuning large-scale models

• Proven record of adapting foundation models through transfer learning

Other Requirements:

• Expertise in PEFT approaches and quantization-aware training

• Proficiency in Spark, Databricks, or cloud-native ML services

• Excellent communication and presentation skills

Responsibilities:

• Lead and mentor a team of applied scientists and ML engineers

• Design, evaluate, and improve models using bias/fairness checks

• Work with product and engineering teams to deliver AI solutions

• Translate research breakthroughs into scalable production systems

• Ensure performance optimization of AI models

Education Requirements:

• PhD degree in computer science, engineering, a related field, or equivalent experience

Experience Requirements:

• 5+ years of experience in relevant jobs

• Proven track record of successful machine learning research projects

Other Requirements:

• First-author publications at peer-reviewed AI conferences

• Strong scientific understanding of generative AI

• Proficiency in frameworks like PyTorch or TensorFlow

Responsibilities:

• Deep understanding of machine learning research

• Manage and execute a research agenda

• Developing proof-of-concept models

• Preparation and writing of technical and scientific papers

Education Requirements:

• PhD degree in computer science, engineering, a related field, or equivalent experience

Experience Requirements:

• 5+ years of experience in relevant jobs

• Proven track record of successful machine learning research projects

Other Requirements:

• First-author publications at peer-reviewed AI conferences

• Strong scientific understanding of generative AI

• Proficiency in frameworks like PyTorch or TensorFlow

Responsibilities:

• Deep understanding of machine learning research

• Manage and execute a research agenda

• Developing proof-of-concept models

• Preparation and writing of technical and scientific papers

Benefits:

• Culture of mutual trust

• Professional growth opportunities

• Support and passion environment

Education Requirements:

• Currently pursuing a BSc, BEng or MSc in Computer Science, Data Science, Artificial Intelligence, Machine Learning, Statistics, or a related field

Experience Requirements:

• Strong knowledge of Python and libraries such as pandas, scikit-learn, PyTorch or TensorFlow

• Prior experience in AI/ML, Data Science, Banking/Financial Services, FinTech, or Consulting

• Fluent/native business-level English

Other Requirements:

• Available at least 10 hours per week

• Self-starter

• Strong analytical and problem-solving skills

Responsibilities:

• Developing and improving AI/ML models for detection of suspicious activities

• Researching and implementing state-of-the-art techniques in data science

• Improving process efficiency and automation across the Data Science team

• Building prototypes and proof-of-concepts for novel AI-driven approaches

• Analyzing complex financial datasets and identifying patterns

Education Requirements:

• Ph.D. in Computer Science, Electrical Engineering, or another relevant field

Experience Requirements:

• Prior experience in leadership roles within R&D teams, or as VP R&D/CTO

• In-depth expertise in Vision AI (perception)

• Strong coding skills, preferably in Python and CPP

• Experience in real-time, physical-world applications

Other Requirements:

• Adaptability

• Technical Insight

• Collaborative Mindset

• Self-Driven

• Detail-Oriented

Responsibilities:

• Address complex AI challenges as a versatile 'joker card'

• Expedite projects and solve technical bottlenecks

• Provide specialized expertise as needed to accelerate outcomes

• Foster a culture of growth and technical excellence

• Collaborate closely with internal teams and guide staff

Benefits:

• Equity option allocations

• Accreditation and tuition support

• Extended health and dental benefits

• Annual paid closure

• Parental leave top-up

Education Requirements:

• Graduate degree in geophysics, geology, or earth sciences

• Sub-specialization in data science is an asset

Experience Requirements:

• 8+ years experience analyzing and interpreting geophysical field data

• Advanced-level coding capabilities in Python

• Experience in technical sales support is an asset

• Understanding of geophysical methods and inversions

• Proficiency using geophysical analysis software

Other Requirements:

• Legally able and currently documented to work full-time hours in Canada

• Professional level communication skills in English

• P.Geo. certification or eligibility to register

• Detail-oriented and committed to high quality work

Responsibilities:

• Analyze, model, and interpret geophysical data

• Interact with prospective and current customers to understand problems

• Propose technically feasible solutions that create value

• Perform geophysical data quality assessment and processing

• Process and analyze data using Python and Geoscience ANALYST

Benefits:

• industry leading competitive pay

• company paid healthcare

• flexible spending accounts

• voluntary life insurance

• 401K matching

Education Requirements:

• Ph.D., M.D., or equivalent advanced degree in cancer biology, molecular biology, pharmacology, computational biology, or a related discipline

Experience Requirements:

• Typically 12–20+ years of relevant experience in biotech or pharma

• Success advancing at least one oncology program into clinical development

• Deep expertise in translational science (biomarkers, MoA, resistance, combination biology)

• Experience working with large, complex translational and/or clinical datasets

• Track record of leading cross-functional teams

Other Requirements:

• Strong working knowledge of AI/ML concepts as applied to drug discovery

• Excellent scientific storytelling and communication skills

Responsibilities:

• Lead Portfolio-Level Translational Strategy

• Define Biomarker & Patient Selection Strategy

• Direct Mechanism of Action, Resistance & Combination Biology

• AI/ML-Enabled Translational & Clinical Prediction

• Build and Lead a High-Impact Organization

Benefits:

• industry leading 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:

• At least 2 - 8 years of relevant academic or industry experience for PhD holders

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

• Hands-on experience in in vivo pharmacology (PK/PD, efficacy studies)

• Oversight and coordination of in vivo studies at CROs

• Proficiency in cell and molecular biology (cell culture, ELISA, Western blotting, qPCR, flow cytometry)

Other Requirements:

• Excellent communication skills

• Ability to work collaboratively across teams

• Highly motivated to learn new technologies

Responsibilities:

• Design and develop translational studies for various programs

• 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 mechanism of action and biomarker strategies

Benefits:

• industry leading competitive pay

• company paid healthcare

• flexible spending accounts

• voluntary life insurance

• 401K matching

Education Requirements:

• BS in Chemistry with 5+ years experience (pharma/biotech)

• MS in Chemistry with 3+ years experience (pharma/biotech)

Experience Requirements:

• Proven skills in multi-step organic synthesis and reaction optimization

• Experience in SAR analysis and scientific presentation

• Prior exposure to high-throughput experimentation (preferred)

• Familiarity with ADME-PK principles (preferred)

• Experience with molecular modeling and structure-based drug design (preferred)

Other Requirements:

• Ability to thrive in a fast-paced, highly collaborative research environment

• Availability to work onsite in San Diego

Responsibilities:

• Design, synthesize, purify, and characterize chemical compounds (10 mg–5 g scale)

• Identify and optimize reaction conditions using screening kits

• Collaborate with the high-throughput experimentation team

• Analyze biological and ADME-PK data using cheminformatics tools

• Partner with computational chemists to leverage machine learning insights

Benefits:

• industry leading 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

• Experience with MD simulation and advanced binding affinity prediction methods (preferred)

• Experience with ML-augmented small molecule discovery (preferred)

Other Requirements:

• Python programming skills

• Familiarity with MOE molecular modeling package (preferred)

• Proactive drug-hunter mindset

Responsibilities:

• Apply ligand and structure-based approaches across hit identification and lead optimization

• Guide design cycles through SAR identification and bioactivity data integration

• Partner with medicinal chemists to prioritize virtual libraries

• Partner with ML scientists to integrate SBDD methods with property prediction technology

• Leverage and evolve proprietary protein-ligand co-folding technology

Benefits:

• industry leading 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

• PhD or equivalent degree in computational chemistry or machine learning in chemistry (preferred)

Experience Requirements:

• 3+ years of experience

• Familiarity with using statistical analysis techniques to adapt models

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

Other Requirements:

• Python programming skills

• Knowledge of statistics and drug discovery

• Excellent written and verbal communication skills

Responsibilities:

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

• Partner with computational and medicinal chemists for decision-making

• Generate value from machine learning models for internal and partner use

• Communicate results with internal drug discovery teams

• Support the evolution of machine learning models with analytical feedback

Benefits:

• Professional development in GenAI

• Private Medical insurance

• Multisport card

• Google certification paths

• Cooperation with a great team

Experience Requirements:

• Minimum of 3 years of experience in Data Science

• Minimum of 2 years of experience in NLP tasks

• Proficiency in PyTorch or another deep learning library

• Expert programming skills in Python

• Familiarity with the Numpy/Pandas libraries

Other Requirements:

• Solid understanding of machine learning concepts

• Knowledge of version control systems: git

• Interest in and ability to work with advanced AI technologies

• Knowledge of generative GPT models and Langchain

• Proficiency in cloud solutions (AWS or GCP)

Responsibilities:

• Work at the intersection of innovation and practical application

• Shape the future of AI technologies

Benefits:

• CRA Training Program

• Virtual learning activities

• On-the-job training

• Mentorship

Education Requirements:

• Bachelor's Degree in scientific discipline or health care preferred

Experience Requirements:

• Requires at least 1 year of on-site monitoring experience

Other Requirements:

• Good clinical research regulatory requirements knowledge (GCP/ICH)

• Written and verbal English skills

• Computer skills (Word, Excel, PowerPoint)

• Organizational and problem-solving skills

Responsibilities:

• Perform site monitoring visits (selection, initiation, monitoring, close-out)

• Adapt, drive, and track subject recruitment plan

• Administer protocol and related study training to sites

• Evaluate quality and integrity of study site practices

• Manage regulatory submissions, approvals, recruitment, and enrollment

Benefits:

• Competitive compensation package

• Bonus incentives

• Attractive benefits package

Education Requirements:

• Bachelor's degree in any engineering discipline

Other Requirements:

• Strong problem-solving skills

• Fluency in English

• Motivation and strong work ethic

• Excellent task management skills

Responsibilities:

• Analyze data and design custom solutions for business problems

• Process healthcare datasets using Excel, SQL, Alteryx

• Develop recommendations and create PowerPoint or visualization slides

• Collaborate with internal teams to learn new skills

Benefits:

• Rewarding career in life sciences consulting

• Collaborative work environment

Education Requirements:

• Master’s degree preferably in Engineering, Economics or Business

Experience Requirements:

• Fresh graduate or maximum 1-3 years’ experience

Other Requirements:

• Proficiency in Turkish and business English

• Excellent MS Office skills

• Willingness to travel

• Knowledge of Python or R (plus)

Responsibilities:

• Perform quantitative and qualitative analyses for recommendations

• Contribute to internal brainstorming for project methodology

• Conduct independent desk research

• Assist in the preparation and execution of client workshops

• Build professional relationships with client teams

Benefits:

• Paid in-person work trial

Experience Requirements:

• Proficiency in Python and deep learning frameworks (PyTorch)

• Expertise in post-training techniques (SFT, RL, reward models)

• Proven track record of impactful research

• Real-world impact beyond pure academic work

Other Requirements:

• Ability to balance execution speed with empirical rigor

• Ability to work in-person 5 days a week in San Francisco

Responsibilities:

• Training models for better agentic tool-use

• Designing mechanisms for continuous model weight updates

• Designing and running experiments for data mixtures and models

• Building infrastructure for generating synthetic data at scale

• Building challenging evals for measuring agentic capabilities

Benefits:

• Paid in-person work trial

Experience Requirements:

• Expertise in machine learning, LLMs, and continual learning

• Familiarity with agent frameworks and prompt optimization

• Track record of impactful research

• Real-world impact beyond pure academic work

Other Requirements:

• Ability to balance execution speed with empirical rigor

• Ability to work in-person 5 days a week in San Francisco

Responsibilities:

• Developing prompt optimization and system prompt learning methods

• Developing methods for agents to generate and test hypotheses

• Improving efficiency of learning from long-running agentic tasks

• Designing and running experiments to measure self-improvement

• Open publishing of research through papers and code

Benefits:

• Opportunity to co-create meaningful technology

• Culture of ownership, openness and trust

• Working with professionals in a small dream team

• Freedom and flexibility working remotely or on-site

• Private healthcare

Education Requirements:

• MSc / PhD in Computer Science, Mathematics, Biomedical Engineering or similar

Experience Requirements:

• 3+ years of experience with data analysis and neural networks

• Experience with biosignal analysis (ECG, EEG, PPG or similar)

Other Requirements:

• Strong knowledge of SOTA machine learning trends

• Proficiency in Python and scientific libraries

• Experience with PyTorch/Tensorflow

• Interest in human physiology, medicine, and wellness

Responsibilities:

• Develop deep learning models for biosignal analysis

• Conduct research on deep learning architectures for biomedical signals

• Provide feedback to data collection teams regarding experimental setups

• Perform exploratory data analysis and create visualizations

• Process, clean, and prepare biosignal data