Benefits:

• Unlimited leaves

• Life insurance & private health insurance

• Stock options

• No hierarchy

• Open Salaries

Education Requirements:

• PhD, Master’s, or Graduate Degree in Computer Science

• Degree in Machine Learning or AI

• Degree in Operational Research

• Degree in Statistics or Mathematics

Experience Requirements:

• Proven track record in client interaction

• Experience collaborating with engineering and business teams

• Expertise in formulation, solving and deploying Data Science models

• Expertise in problem solving while being hands on

Other Requirements:

• Conversant with end-to-end data science model life cycle

• Conversant with at least 2 areas: NLP, CV, RAG, LLMs, or ML

• Proficiency in Python and relevant libraries

• Theoretical strength in deep learning and conventional machine learning

Responsibilities:

• Conceptualizing, formulating, coding and deploying solutions

• Interacting with clients to make sense of ambiguous problem statements

• Building systems like RAG, Multiagent, or LLM-based solutions

• Solving problems in computer vision, speech, or NLP

Benefits:

• Unlimited leaves

• Life insurance & private health insurance

• Stock options

• No hierarchy

• Open Salaries

Experience Requirements:

• Demonstrated experience as a Senior Data Engineer

• Experience with Python or functional languages like Scala

• Design and development of big data applications using Databricks or Spark

• Building data products by integrating large sets of internal/external data

Other Requirements:

• Nuanced understanding of code quality and Test Driven Development

• Understanding of Cloud platforms, DevOps, GitOps, and Containers

• Ability to deliver applications end-to-end using CI/CD

Responsibilities:

• Collaborate with Data Scientists to deliver AI and ML systems

• Build frameworks and tooling for complex data ingestion

• Consult clients on data strategy and modernizing infrastructure

• Model data for increased visibility and performance

• Work in short sprints to deliver working software

Benefits:

• Unlimited leaves

• Life Insurance & Private Health insurance paid by Sahaj

• Stock options

• No hierarchy

• Open Salaries

Experience Requirements:

• At least 8+ years experience as a Software Engineer

• Expertise with at least one programming language (FP or OOP)

• Rich understanding of code quality and TDD

• Experience with source control and build toolchains

Other Requirements:

• Maker’s mindset – resourceful and able to work without instructions

• Knowledge of CI/CD and infra-automation

• Understanding of Cloud platforms, IaC, and GitOps

• Understanding of web APIs and communication protocols

Responsibilities:

• Write high-quality, production-ready code

• Lead architecture and design decisions

• Utilize DevOps tools to automate build and deployment

• Work with Data Scientists to deliver AI/ML systems

• Provide hands-on mentorship and technical guidance

Benefits:

• Salary £41,526 - £49,553 (Grade 8) for postdoc

• 4-year PhD studentship

• World-leading research environment (REF 2014)

• Located in Brighton near the sea and London

• Publish in top AI conferences (NeurIPS, ICML, CVPR)

Education Requirements:

• PhD in machine learning or related field (for postdoc)

Experience Requirements:

• Good publication record (postdoc applicant)

• Background in approximate inference or reinforcement learning

Other Requirements:

• No fixed application deadline, positions open until filled

Responsibilities:

• Novel inference and computational method development

• Fairness under uncertainty in static settings

• Fairness under uncertainty in dynamic settings

• Ensuring transparency in fairness for human understanding

• Building interpretable models using uncertainty estimates

Benefits:

• Tax-free stipend of £18,622 per year for 4 years

• Research training stipend of £2,000 for 4 years

• Tuition fees waived up to overseas rate

• Opportunity to visit or work at Monash University Indonesia

• Work in the WeArePAL lab at the University of Sussex

Education Requirements:

• Background in Computer Science, Math, or Statistics

• Background in Econometrics or Industrial Engineering

• Background in Law or Information Systems

Experience Requirements:

• Academic or professional background in related disciplines

Other Requirements:

• Discuss application informally via email before applying

• Clearly indicate supervisor Professor Novi Quadrianto on application

Responsibilities:

• Harnessing AI for Fairness, Transparency, and Inclusive Growth

• Developing AI frameworks that minimize bias and promote trust

• Safeguarding Ethical and Legal Boundaries in Human-AI Coexistence

• Developing policies for human-AI coexistence

• Leveraging AI for sustainability in supply chain networks

Benefits:

• Joint research collaborations between BCAM and University of Sussex

• Synergies in research on algorithmic fairness

Other Requirements:

• Application Deadline: 31st March 2021, 14:00 CET

Responsibilities:

• Research on algorithmic fairness under uncertainty

• Research on transparency in algorithmic fairness

• Reinforce existing research areas and generate synergies

Education Requirements:

• Ph.D. or Master's Degree in Computer Science, Electrical Engineering, Statistics, Mathematics, Physics, Computational Finance, Industrial Engineering, Financial Engineering, Operations Research or a similar quantitative field.

• Ph.D. preferred.

Experience Requirements:

• Expertise in Machine Learning, Data Mining, Pattern Recognition, Natural Language Processing or Computer Vision.

• Publications in peer-reviewed journals and conferences.

• Experience or interest in programming in one or more of these languages: C++, C, Java, Python, Go, etc.

Other Requirements:

• Stay hungry: challenge the status quo and develop innovative solutions

• Pursue impacts: business acumen to create customer values from findings

• Passion to work at a start-up and in a team

Responsibilities:

• Lead in cutting-edge AI research and develop innovative approaches in the financial/healthcare domains to solve real-world problems.

• Publish your results and grow Graphen’s IP portfolio.

• Contribute ideas, develop prototypes and implement efficient and effective algorithms for Graphen solutions.

Education Requirements:

• BS or MS degree in Computer Science, Computer Engineering or similar technical field of study preferred.

Experience Requirements:

• 3-5 years of working experience in system software development.

• Software development experience in Java, C/C++, C#, Objective C, Python, JavaScript or Go.

• Good knowledge of Data Structures and Algorithms.

• Parallel and Distributed Programming skills are a bonus.

Other Requirements:

• Testing framework

• System build/deployment tools (e.g. g++/gcc, Maven, Docker, git)

• Machine Learning and Big Data technologies

• Innovative and flexible thinking

Responsibilities:

• Design, implement, test, integrate, deploy, maintain and improve various components of Graphen AI platform and solutions.

• Conduct extraction, cleansing, exploration, transformation and loading of data from various sources to Graphen data store.

• Perform customization of Graphen solutions to suit specific customer needs.

Education Requirements:

• Currently studying or graduated from a scientific or quantitative field (Preferably MS or PhD)

Experience Requirements:

• Extraordinary quantitative and data management skills

• Proficiency processing large datasets with statistical packages

• Software development experience in Python or C++

• Applied Experience with Machine Learning and Big Data technologies

Other Requirements:

• Innovative and flexible thinking

• Previous experience or course work in finance, business, economics, and/or biostatistics is a plus

Responsibilities:

• Develop AI trading strategies in various financial markets

• Develop AI analyses in genome and/or proteome data in the medical domain

• Work with large data sets and solve difficult, non-routine analysis problems

• Translate unstructured, complex business problems into Machine Learning framework

• Prototype, refine, deploy and monitor predictive models and decisions agents

Benefits:

• 401(k)

Benefits:

• Competitive salary package

• Full benefits (medical, dental, vision & life insurance)

• Proximity to Silicon Valley resources

• Close to top schools and outdoor activities

Education Requirements:

• PhD (or MS working towards a PhD) in Computer Science, related technical field or equivalent practical experience

Experience Requirements:

• Outstanding publication and service track record

• Strong programming experience in C, C++, Python, or Java

• Relevant work experience including full-time industry experience or as a researcher in a lab

Other Requirements:

• Ability to design and execute a research agenda

• Personal or professional experience in working with people of diverse backgrounds

Responsibilities:

• Participate in cutting edge research in Data Management, ML, NLP, and HCI

• Develop solutions for real world and large scale problems

Benefits:

• Competitive salary package

• Full benefits (medical, dental, vision & life insurance)

• Proximity to Silicon Valley resources

• Close to top schools and outdoor activities

Education Requirements:

• Degree in Computer Science or related discipline or equivalent practical experience

Experience Requirements:

• Production quality software development in Python, Java, and/or C or C++

• Experience designing software systems with microservices and cloud-computing

• Demonstrated problem solving, interpersonal, and time management skills

• Ability to apply engineering best practices for performance and scalability

Other Requirements:

• Strong communication skills

• Ability to work as a team lead with high EQ

• Self-motivated decision maker

Responsibilities:

• Serve as a liaison between research, engineering, and product managers

• Lead technical aspects and mentor junior engineers

• Transform requirements into technical specifications and solutions

• Design software architectures and lead development

• Keep track of new developments in ML/NLP research and engineering

Benefits:

• Visa sponsorship is available

• Mentorship from Research Scientists

Education Requirements:

• Currently enrolled in a PhD program in Computer Science or a related technical field

Experience Requirements:

• Experience in LLM, NLP, Machine Learning, or Data Management

• Proficiency in programming languages including C/C++, Java, Python or Javascript

Other Requirements:

• Available to work full time for 12 weeks during the summer

• Ability to design and execute a research agenda

• Contribution to research communities including publishing papers

• Returning to a degree program after completion of the internship

Responsibilities:

• Solve real-world problems at scale in LLM and NLP

• Focus on high-impact projects with mentors

• Participate in cutting-edge research

• Aim to publish papers at top-tier conferences

Benefits:

• 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, with progressive leadership responsibility.

• Demonstrated success advancing at least one oncology program into clinical development.

Other Requirements:

• Deep expertise in translational science, including biomarker strategy, MoA, resistance, and combination biology.

• Proven experience working with large, complex translational and/or clinical datasets.

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

• Excellent scientific storytelling and communication skills.

Responsibilities:

• Lead Portfolio-Level Translational Strategy

• Define Biomarker & Patient Selection Strategy

• Mechanism of Action, Resistance & Combination Biology

• AI/ML-Enabled Translational & Clinical Prediction

• Build and Lead a High-Impact Organization

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:

• Bachelor Degree in Information Technology, Computer Science or Management

Experience Requirements:

• Have experience 2 years in Sales / Account Executive / IT Consultant

Other Requirements:

• Have a basic knowledge and capability in IT

• Able to present information effectively and persuasively to customer

• Focus on quality

• Able for working and sharing in a team and also individual

• Good communication skill in verbal or email

Responsibilities:

• Develop sales plan and execute the sales plan successfully

• Employ a consultative selling approach to achieve the sales quota

• Maintain mutual relationship and communication with customer and principal

• Exploring the user requirement

• Communicating the solution proposal clearly to customer and guiding as a consultant