AI Jobs

Benefits:

• Social insurance coverage

• Annual paid leave (15 days)

• Full transportation allowance

• Referral bonus (300,000 JPY)

• Stock option system

Experience Requirements:

• Advanced visualization skills using BI tools (Tableau, Power BI, etc.)

• SQL skills for data extraction and processing

• Ability to find business issues from web and customer data

• Practical knowledge of KPI design and data quality management

Other Requirements:

• Commitment to final results and customer contribution

• Active involvement in team and organizational growth

Responsibilities:

• Collect, organize, and visualize project data

• Support identification of business challenges and improvements

• Provide reporting and insights from a business-side perspective

• Support data-driven growth strategies for B2C companies

Benefits:

• Paid positions

• Hands-on experience

• Dynamic environment

• Learning & Growth

Education Requirements:

• Masters degree in biology, chemistry, computer science, bioinformatics, or data science

Experience Requirements:

• Academic experience or projects that demonstrate your interest

Other Requirements:

• Basic programming skills, preferably in Python

• Strong analytical skills

• Ability to approach problems creatively

• Collaborative mindset

Responsibilities:

• Gain hands-on experience in a dynamic environment

• Contribute to work turning around drugs

• Gain insights into the drug development lifecycle

• Learn how AI techniques are applied to drug safety

Benefits:

• Competitive compensation

• Equity in a fast-moving, profitable startup

• Direct work with world-leading AI experts

• No-jerks policy

• CMU startup in close proximity to CMU

Education Requirements:

• PhD

Experience Requirements:

• Strong software development skills

Other Requirements:

• US citizenship

• Eligibility to obtain TS/SAP clearance

• Excitement to change the world with AI products

• Desire to work with leading experts in a fast-moving environment

Responsibilities:

• Work on fighter pilot AIs

• Work on wargaming AIs for important scenarios

• Leverage course-of-action generation and execution AI system

Benefits:

• Quarterly bonuses

• Medical insurance with dentistry

• Annual paid leave (31 days)

• Conferences and meetups

• Free mobile communication

Education Requirements:

• Bachelor's or Master's in CS, EE, or Math

Experience Requirements:

• 3–6 years of experience

• Proficiency in Python and PyTorch/TensorFlow

• Experience training deep neural networks

• Experience fine-tuning foundation models

Other Requirements:

• English level B1-B2

• Math background (Linear Algebra, Stats)

• Familiarity with distributed training (SLURM, K8s)

Responsibilities:

• Design and train LLMs and VLMs

• Run experiments and analyze results

• Optimize training and inference pipelines

• Implement distributed training workflows

• Collaborate with product teams

Benefits:

• Medical insurance with dentistry

• Mobile communication compensation

• IT conferences and training

• MTS Premium subscription

• Partner discounts

Education Requirements:

• PhD in Machine Learning or NLP (preferred)

Experience Requirements:

• 1–3 years of experience

• Experience training LLMs

• Knowledge of PyTorch, Transformers, and TRL

Other Requirements:

• Papers at conferences (NeurIPS, ACL, etc.)

• Scientific research interest

• Open-source project experience

Responsibilities:

• Conduct research under senior researchers

• Perform experiments for conference papers

• Develop open-source projects

• Participate in ML competitions

Benefits:

• Medical insurance with dentistry

• Mobile communication compensation

• IT conferences and training

• MTS Premium subscription

• Partner discounts

Experience Requirements:

• 3–6 years of experience

• Deep learning for speech (ASR, TTS, VC)

• Experience with Conformer, FastSpeech, or Whisper

• Experience with audio preprocessing

Other Requirements:

• English level B2

• Knowledge of librosa and torchaudio

• Research paper publications (preferred)

Responsibilities:

• Research voice-to-voice translation

• Develop models preserving speaker style

• Design real-time streaming pipelines

• Evaluate models using MOS metrics

• Submit papers to top conferences

Education Requirements:

• BA or BS with a science or related background

Experience Requirements:

• Experience in data entry or Data Management activities

• Knowledge of clinical trial processes

• Experience in ICH GCP and GCDMP (SCDM)

Other Requirements:

• Understanding of database structures and database programming

• Knowledge of CDISC standards (CDASH and SDTM)

• Proficiency in MS Office and email applications

• Strong analytical and problem solving skills

Responsibilities:

• Setup, documentation, and implementation of clinical study databases

• Contribute to development and testing of Phase I and BA/BE clinical study data

• Review and contribute to protocols from a data management perspective

• Design and review eCRFs according to study protocol

• Create, review, and process data queries

Education Requirements:

• MD or equivalent medical degree

Experience Requirements:

• 2-5+ years of experience in clinical practice, medical education, or medical affairs

• Experience supporting or managing rare and/or complex chronic disease pathways

Other Requirements:

• Strong communication and presentation skills

• Fluency in English

• Familiarity with clinical decision support tools or EMR-derived insights

• French bilingualism is an asset

Responsibilities:

• Support physicians managing patients through the Clinical Decision Support Platform

• Provide education on disease states and diagnostic pathways

• Facilitate case-based discussions to support interpretation of clinical signals

• Manage an assigned portfolio of physician users with structured outreach

• Develop disease-specific educational materials and resources

Education Requirements:

• B.Sc. or College Diploma in Analytical chemistry or related subject

Experience Requirements:

• Minimum of 1-3 years of related experience

• Experience working under GxPs

Other Requirements:

• Working knowledge of computers

• Ability to lift up to 50 lbs. and stand for extended periods

• Flexibility to work outside of contracted hours and weekends

Responsibilities:

• Sample accession including receiving, storage, and tracking

• Manage supply chain and lab supply inventories

• Perform method validation and biostudy analysis tasks

• Generate analytical test results in compliance with SOPs

• Record raw data promptly and accurately per GLP principles

Education Requirements:

• BSc. or College Diploma in Analytical chemistry or related subject

Experience Requirements:

• Minimum of 3 years of related experience directly involved in LC-MS/MS system

Other Requirements:

• Knowledge of supporting instrument software and computer systems

• Problem solving skills for complex bioanalytical research

• Good interpersonal skills and professional attitude

Responsibilities:

• Conduct analytical projects using LC-MS/MS equipment

• Perform basic preventive maintenance and repair of LC-MS/MS instruments

• Process bioanalytical runs and complete applicable paperwork

• Coordinate repairs and service appointments with vendors

• Provide advice and advanced level training to bioanalytical chemists

Education Requirements:

• PhD candidate

Other Requirements:

• EU-funded

Responsibilities:

• Prostate Research

• Computational biology

Education Requirements:

• PhD candidate

Other Requirements:

• EU-funded

Responsibilities:

• Kidney Research

• Computational biology

Benefits:

• Opportunity to work on impactful, data-centric projects

• Exposure to both data analytics and data science practices

• Gain hands-on experience with cutting-edge technologies

• Collaborative and growth-oriented work environment

Education Requirements:

• Currently pursuing or recently completed a degree in Computer Science, Data Science, Statistics, or a related field

Experience Requirements:

• Basic knowledge of data analytics concepts and methods (e.g., statistical analysis, data visualization)

• Proficiency in data analysis tools such as Excel, SQL, and Python (Pandas, NumPy, etc.)

Other Requirements:

• Strong problem-solving skills and attention to detail

• Ability to work independently and in a team environment

• Excellent communication skills with the ability to present data findings clearly

• Knowledge of data visualization tools (e.g., Tableau, Power BI) and PostgreSQL is a Bonus

• A willingness to learn new tools and technologies in data science

Responsibilities:

• Assist in the collection, processing, and cleaning of large datasets to ensure data quality and integrity

• Perform basic data analysis using tools such as Excel, SQL, and Python to generate actionable insights

• Support the development and testing of machine learning models under guidance

• Work closely with engineering and business teams to identify opportunities for data-driven improvements

• Contribute to the preparation and presentation of data reports and dashboards

Benefits:

• Flexible smart working policies

• Annual retreat for the team in an awesome location

• Professional development under the lead of a senior member

• Free coffee and snacks

• Office kitchen and common spaces

Education Requirements:

• Master’s degree or PhD in Engineering, Computer Science, Statistics, Physics, Mathematics, or related technical fields

Experience Requirements:

• 1+ years of work experience in a industry, university, or government lab

• Strong skills in statistical modeling and machine learning

• Relevant coding experience in programming languages such as Python

Other Requirements:

• Excellent teamwork skills are a must

• Creativity and ability to formulate problems and solve them

• Willing to work towards long-term ambitious research goals

• Fluent in English both spoken and written

Responsibilities:

• Work on data analytics projects using internal tools and Python

• Research and deliver insights related to risk exposures and quantitative analysis

• Evaluating and interpreting the outputs of the models

• Producing clear written summaries of research results

Benefits:

• Flexible smart working policies

• Annual retreat for the team in an awesome location

• Professional development under the lead of a senior member

• Free coffee and snacks

• Office kitchen and common spaces

Education Requirements:

• Master’s degree or PhD in Engineering, Computer Science, Statistics, Physics, Mathematics, or related technical fields

Experience Requirements:

• 2+ years of work experience in a industry, university, or government lab

• Strong skills in statistical modeling and machine learning

• Relevant coding experience in programming languages such as Python

Other Requirements:

• Excellent teamwork skills are a must

• Creativity and ability to formulate problems and solve them

• Willing to work towards long-term ambitious research goals

Responsibilities:

• Researching, designing and implementing machine learning algorithms

• Selecting appropriate datasets and data representation methods

• Running machine learning tests and performing statistical analysis

• Present results using intuitive data visualizations

• Extending existing AI/ML libraries and frameworks

Experience Requirements:

• Proven experience as a Data Scientist or a similar role in the tech industry

Other Requirements:

• Proficiency in SQL, Python, R

• Experience with data visualization tools like Tableau or Power BI

• Detail-oriented

Responsibilities:

• Analyzing data generated from the extension (code, test analysis, coverage, usage)

• Driving data-driven decisions to enhance the product

• Providing actionable insights to the development team

Benefits:

• Annual research funds of $5,000

• Skill development support

• Conference attendance funding

Education Requirements:

• PhD in computer science, AI, machine learning, or related fields

Experience Requirements:

• Demonstrated track record in scientific research evidenced through publications

Other Requirements:

• Requires submission of a research proposal

Responsibilities:

• Conduct independent and collaborative research on computational theories of intelligence

• Disseminate research findings through academic publications

• Engage in knowledge transfer and convert research into algorithms

• Provide mentorship to junior team members

• Contribute code to Basis core technology

Benefits:

• Competitive with leading postdoctoral fellowships

• Travel funded by Basis for in-person events

Education Requirements:

• PhD in neuroscience, cognitive science, behavioral science, or AI

Experience Requirements:

• Experience in behavioral modeling using AI/ML techniques

• Experience with multi-agent animal communication or environmental modeling

• Strong programming skills

• Demonstrated track record in scientific research

Other Requirements:

• Willingness to travel periodically for Basis-wide events

Responsibilities:

• Conduct research focused on the Collaborative Intelligent Systems project

• Analyze multi-agent multi-species behavioral data

• Coordinate research with collaborators and core tech team

• Disseminate findings through open-source code and publications

• Provide mentorship to junior team members