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:

• Competitive salary

• Bonuses

Education Requirements:

• PhD or equivalent experience in technical areas such as statistics, ML, or cognitive science

Experience Requirements:

• Demonstrated ability to do high-quality scientific research via publications or software projects

• Technically excellent and values probing concepts at foundations

Other Requirements:

• Excited about solving real world problems and having positive societal impact

Responsibilities:

• Develop and explore computational theories of intelligence

• Work as a team member to help solve scientific and societal problems

• Distill insights into general mathematical and computational theories

• Develop and maintain open-source software

• Contribute to the culture and direction of Basis

Benefits:

• Competitive salary

• Bonuses

Education Requirements:

• PhD or equivalent experience in a relevant area

Experience Requirements:

• Ability to conduct first-class scientific research published in venues like PLDI, OOPSLA, and POPL

• Ability to write excellent software

• Significant technical achievements within PL research and engineering

Other Requirements:

• Excited about solving real-world problems

Responsibilities:

• Design, implement, and maintain programming languages tools

• Develop and explore computational theories of intelligence

• Collaborate with domain experts on challenge problems

• Publish and present findings in journals and conferences

• Contribute to the culture and direction of Basis

Benefits:

• Competitive salary

Education Requirements:

• PhD or equivalent experience in robotics, machine learning, or computer science

Experience Requirements:

• Demonstrated ability to do high-quality scientific research at top venues

• Deep expertise in Program Synthesis and Neuro-symbolic Methods

• Strong mathematical and computational foundations

• Comfortable working across the research-to-deployment pipeline

Other Requirements:

• Intellectual curiosity and autonomy

Responsibilities:

• Develop computational theories of intelligence specific to program synthesis

• Design and implement novel algorithms for embodied AI

• Collaborate across specializations to integrate world modeling with planning

• Validate research on physical robotic systems

• Develop and maintain open-source software

Benefits:

• Competitive salary

Education Requirements:

• PhD in computer science, AI, machine learning, or cognitive science

Experience Requirements:

• Strong background in RL, planning, MDPs, and optimal control

• Experience in developing AI systems combining neural and symbolic methods

• Demonstrated track record in scientific research

Other Requirements:

• Interest in foundational AI research

Responsibilities:

• Conduct research focused on the MARA project

• Develop new methods for reinforcement learning and planning

• Apply methods to challenges like AutumnBench and robotics

• Disseminate findings through academic publications

• Provide mentorship to junior team members

Benefits:

• Competitive salary

Education Requirements:

• PhD in computer science, AI, machine learning, or cognitive science

Experience Requirements:

• Strong background in program synthesis, probabilistic programming, and AI reasoning

• Experience developing AI systems combining neural and symbolic methods

• Demonstrated track record in scientific research

Other Requirements:

• Excited about solving real world problems

Responsibilities:

• Conduct research focused on the MARA project

• Develop new methods for modeling, abstraction, and reasoning

• Apply methods to challenges like AutumnBench and ARC

• Disseminate findings through publications and presentations

• Provide mentorship to junior team members

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

Education Requirements:

• Ph.D. in Bioinformatics, Computational Biology, Statistics, Computer Science, or a related field

Experience Requirements:

• 3-5 years of relevant experience in Industry or a relevant academic lab in a Post-doc position

• Proficiency in Python programming language

• Experience in analyzing scRNA-seq data

• Strong publication record

Other Requirements:

• Expertise in cancer biology

• Strong background in statistics, machine learning, and data visualization

• Familiarity with cloud computing platforms and version control systems (e.g., Git)

Responsibilities:

• Collaborate with the biology team, senior management, informatics team, and partners to analyze data and derive insights

• Design, implement, and optimize computational pipelines for analyzing large-scale single-cell RNA sequencing (scRNA-seq) datasets

• Develop and apply novel statistical and machine learning approaches to identify cell types and states

• Integrate scRNA-seq data with other omics data to enhance understanding of cellular heterogeneity

• Stay up-to-date with developments in single-cell genomics and data science to contribute to the scientific community

Benefits:

• Cutting-edge research

• Real-world impact

• High autonomy

• Collaborative team

• Flexibility

Experience Requirements:

• Senior level experience

• Experience shipping ML products at scale

Responsibilities:

• Train and deploy models purpose-built for image editing

• Drive projects end-to-end, from research to deployment

• Build models for object erasing & insertion

Benefits:

• Competitive salary and equity options

• Comprehensive health, dental, and vision insurance

• Flexible working hours and remote work options

• Professional development opportunities

• A dynamic and supportive work environment

Experience Requirements:

• Experience as a data scientist or data analyst

• 2+ years with Data mining

• A clear understanding of machine learning and operations research

• Proficiency in data science languages such as Python or R

• Experience with SQL and database management

Other Requirements:

• Exceptional technical writing skills

• The ability to communicate complex data in a simple, actionable way

• Excellent attention to detail

Responsibilities:

• Design and implement advanced data models and algorithms

• Perform statistical analysis and predictive modeling

• Conduct comprehensive data analysis to extract actionable insights

• Develop and maintain dashboards and reports

• Collaborate with Sales, Engineering, and Operations teams

Benefits:

• Onboarding and training

• Career in the advanced analytics profession

• Scholarship to support, mentor and develop students

• Work with talented technologists

Education Requirements:

• Ambitious graduate

Experience Requirements:

• Experienced data scientist

Other Requirements:

• Excellent problem-solving skills

• Ability to translate complex information

• Love of learning

• Adaptable

Responsibilities:

• Translate complex information for the business team

• Integrate data science into business operations

• Solve complex business challenges using advanced analytics

Benefits:

• Onboarding and training

• Career in the advanced analytics profession

• Scholarship to support, mentor and develop students

• Work with talented technologists

Education Requirements:

• Ambitious graduate

Experience Requirements:

• Experienced data scientist

Other Requirements:

• Excellent problem-solving skills

• Ability to translate complex information

• Love of learning

• Adaptable

Responsibilities:

• Translate complex information for the business team

• Integrate data science into business operations

• Solve complex business challenges using advanced analytics

Benefits:

• Onboarding and training

• Career in the advanced analytics profession

• Scholarship to support, mentor and develop students

• Work with talented technologists

Education Requirements:

• Ambitious graduate

Experience Requirements:

• Experienced data scientist

Other Requirements:

• Excellent problem-solving skills

• Ability to translate complex information

• Love of learning

• Adaptable

Responsibilities:

• Translate complex information for the business team

• Integrate data science into business operations

• Solve complex business challenges using advanced analytics

Benefits:

• generous paid time off

• healthcare coverage

• career enrichment

• development strategies

Education Requirements:

• Bachelor’s or Master’s Degree in Computer Science or related fields

Experience Requirements:

• 7+ years of experience building production ML / AI systems

• Strong Python engineer

• Proven experience working with unstructured data and images at scale

• Hands-on experience with agent patterns

• Experience deploying AI systems on AWS, GCP, or Azure

Other Requirements:

• Experience in NLP solutions preferred

• Experience in parsing pdf and text documents preferred

• Comfortable working in a micro services environment

Responsibilities:

• Analyze product requirements and come up with data science solutions

• Build deep learning NLP model(s)

• Write production quality python code for model development and inference

• Build and ship AI agent–driven systems

• Design agentic workflows using LLMs, tools, retrieval, and memory

Benefits:

• generous paid time off

• healthcare coverage

• career enrichment

• development strategies

Education Requirements:

• Bachelor’s or Master’s Degree in Computer Science or related fields

Experience Requirements:

• 7+ years of experience building production ML / AI systems

• Strong Python engineer

• Proven experience working with unstructured data and images at scale

• Hands-on experience with agent patterns

• Experience deploying AI systems on AWS, GCP, or Azure

Other Requirements:

• Experience in NLP solutions preferred

• Experience in parsing pdf and text documents preferred

• Comfortable working in a micro services environment

Responsibilities:

• Analyze product requirements and come up with data science solutions

• Build deep learning NLP model(s)

• Write production quality python code for model development and inference

• Build and ship AI agent–driven systems

• Design agentic workflows using LLMs, tools, retrieval, and memory

Benefits:

• Competitive salary and equity

• Access to cutting-edge AI infrastructure and resources

• Team offsite

• Learning budget for AI courses, books, and computing resources

• Dynamic and intellectually stimulating work environment

Experience Requirements:

• 7+ years of hands-on ML/AI experience

• At least 1 year of hands-on experience in GenAI/LLM projects

• Track record of successfully deploying ML/AI systems in production

• Experience working with enterprise customers

Other Requirements:

• Experience with vector databases and RAG pipelines

• Experience with observability and monitoring of LLM applications

• Expertise in semantic search and embedding models

Responsibilities:

• Design and implement sophisticated multi-agent systems

• Build and optimize retrieval-augmented generation pipelines

• Implement advanced techniques (LoRA, Prompt Tuning) to adapt models

• Develop and optimize cloud-native architectures

• Implement robust security measures for LLM applications

Benefits:

• Competitive salary and equity

• Access to cutting-edge AI infrastructure and resources

• Team offsite

• Learning budget for AI courses, books, and resources

• Dynamic and intellectually stimulating work environment

Experience Requirements:

• 5+ years of hands-on ML/AI experience

• At least 1 year of hands-on experience in GenAI/LLM projects

• Track record of successfully deploying ML/AI systems in production

• Experience working with enterprise customers

Other Requirements:

• Experience with vector databases and RAG pipelines

• Proficiency in model compression and distillation

• Expertise in semantic search and embedding models

Responsibilities:

• Design and implement sophisticated multi-agent systems

• Build and optimize retrieval-augmented generation pipelines

• Implement advanced techniques (LoRA, Prompt Tuning) to adapt models

• Develop and optimize cloud-native architectures

• Implement robust security measures for LLM applications

Benefits:

• Health and Dental Plan

• Life Insurance

• Flash Benefits (Meal/Food/Home Office)

• Extended Parental Leave

• Childcare aid

Education Requirements:

• Degree in Data Science, Statistics, Mathematics, Computing or related areas

Experience Requirements:

• Solid experience as a Senior Data Scientist or equivalent

• 3+ years of experience in industry or retail (large scale data contexts)

• Experience in market analysis, CRM, pricing, or commercial planning

Other Requirements:

• Advanced proficiency in Python and SQL

• Mastery of descriptive and inferential statistics

• Experience with BI tools (Power BI, Tableau or similar)

• Advanced English

Responsibilities:

• Analyze large volumes of data to identify patterns and business opportunities

• Translate analysis into actionable recommendations for strategy

• Partner with Sales, Solutions, and Product teams

• Build and maintain executive dashboards for decision-making

• Operationalize analytical solutions and models for client-oriented deliveries

Experience Requirements:

• 3+ years of experience in ML research

Other Requirements:

• Expertise in domains like Reinforcement Learning, Simulation, Computer Vision, and NLP

• Deep knowledge of modern machine learning theory and loss function engineering

• Proficiency in cloud infrastructure management using Terraform and Kubernetes

• Familiarity with PyTorch, Hugging Face, and experiment tracking platforms

Responsibilities:

• Lead the development and fine-tuning of advanced ML models

• Design and implement effective HPO and cross-validation strategies

• Choose loss functions and optimizers tailored for specific problem sets

• Implement and monitor experiment tracking using tools like MLFlow or W&B

• Develop and optimize training datasets using Hugging Face and PyTorch