Benefits:

• Competitive salary

Experience Requirements:

• Excellent programming and software engineering skills in Python, Julia, C++

• Ability to drive software projects from start to finish

• High degree of autonomy and under uncertainty

• Significant technical achievements within ML engineering

Other Requirements:

• Experience in building data dashboards and multimodal data infrastructure is an advantage

• Enthusiastic about making a positive societal impact

Responsibilities:

• Translate research ideas into correct, robust, and scalable high-quality code

• Engage in programming language design/implementation

• Performance engineering and scaling research code

• Algorithm development

• 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

Experience Requirements:

• 2+ years designing UI/UX of SaaS applications

• Strong proficiency in Figma

• Portfolio demonstrating end-to-end SaaS work

• Background in biotech or biology

Other Requirements:

• UX fundamentals: information architecture, accessibility

• Ability to communicate design decisions

• Familiarity with AI product UX

Responsibilities:

• Design core SaaS web application experiences

• Translate product requirements into UI

• Build and maintain a design system

• Run and synthesize user research

• Collaborate daily with Product and Engineering

Education Requirements:

• Degree in Biotechnology or Bioinformatics

Experience Requirements:

• English: C1 – Advanced

• Ukrainian: Native

• Experience with AI R&D, biotech, or dev tooling

• Written long-form blogs or thought leadership

Other Requirements:

• Experience using Notion

• Preparing technical briefs

• Working closely with product and engineering teams

Responsibilities:

• Write about biotech, ML systems, and LLMs

• Turn scientific papers into original articles

• Break down technical concepts into clear language

• Write long-form blogs and landing page copy

Experience Requirements:

• JavaScript (1+ years of experience)

• Node.js, NestJS

• React, Angular

• Docker, Kubernetes

• Cloud platforms: GCP/AWS/Azure

Other Requirements:

• Attentive to detail

• Results-driven

• Responsible

• Proactive

• English B2

Responsibilities:

• Backend and frontend development

• Integrations with LLMs

• API management and load balancing

• Work under Scrum Agile management

Education Requirements:

• Degree in Computer Science, Engineering, Data Science, or related field preferred

Experience Requirements:

• 12–14 years of product management experience

• Experience in SaaS, compliance, fintech, or enterprise software preferred

• Proven success managing products from discovery to launch in an agile environment

Other Requirements:

• Ability to translate regulatory/legal complexity into technical product requirements

• Strong communication and stakeholder management skills across technical and non-technical audiences

• Builder’s mindset – comfortable with ambiguity, eager to bring structure, and focused on outcomes

• Collaborative problem-solver who thrives at the intersection of technology and customer need

Responsibilities:

• Partner with the Head of Product to refine and execute the product roadmap

• Translate customer feedback and business needs into technical product requirements

• Prioritize features and enhancements based on business value, customer impact, and technical feasibility

• Act as a bridge between customers, internal SMEs, and development teams

• Partner with engineering to deliver scalable, cloud-native, multi-tenant data solutions

Benefits:

• Medical assistance programs

• Happy work environment

• Team outings

• Global events

• Professional growth opportunities

Experience Requirements:

• 2-3 Years

Other Requirements:

• Aligned with the belief that everyone is infinitely capable

Benefits:

• Medical assistance programs

• Happy work environment

• Team outings

• Global events

• Professional growth opportunities

Experience Requirements:

• 4-6 Years

Benefits:

• Medical assistance programs

• Happy work environment

• Team outings

• Global events

• Professional growth opportunities

Experience Requirements:

• 5+ Years

Benefits:

• Medical assistance programs

• Happy work environment

• Team outings

• Global events

• Professional growth opportunities

Experience Requirements:

• 3-5 Years

Benefits:

• Medical assistance programs

• Happy work environment

• Team outings

• Global events

• Professional growth opportunities

Experience Requirements:

• 0-2 Years

Benefits:

• Medical assistance programs

• Happy work environment

• Team outings

• Global events

• Professional growth opportunities

Experience Requirements:

• 2-3 Years

Benefits:

• Medical assistance programs

• Happy work environment

• Team outings

• Global events

• Professional growth opportunities

Experience Requirements:

• 1-4 years

Education Requirements:

• Bachelor's Degree in Computer Science, Cybersecurity, Information Technology, or a related field

• Master's Degree in Cybersecurity or a similar discipline (Preferred)

Experience Requirements:

• 5 to 10 years of experience in IT

• at least 3-5 years in a dedicated cybersecurity role

• Experience in network security, application security, cloud security, and data protection

• Common career path involving roles like network/system administrator or software developer

• Experience in security analyst, security engineer, or penetration tester roles

Other Requirements:

• Certifications: CISSP, CCSP, CISM, SANS/GIAC, TOGAF, MS-100

• Knowledge of TCP/IP, firewalls, VPNs, and IDS/IPS

• Proficiency with major cloud platforms (AWS, Azure, Google Cloud)

• Expertise in IAM solutions, encryption standards (AES, RSA, TLS), and DLP

• Familiarity with industry standards (NIST, ISO 27001, CIS, GDPR, PDPA)

Responsibilities:

• Creating robust security architectures and blueprints for IT projects

• Ensuring "Security by Design" as a foundational element of technology projects

• Evaluating and selecting security technologies (firewalls, IDS/IPS, DLP, IAM)

• Developing and maintaining security standards and best practices

• Conducting risk assessments, threat modeling, and overseeing vulnerability testing

Education Requirements:

• Bachelor's Degree in Computer Science, Software Engineering, or a related field

• Master's Degree or PhD in AI, Machine Learning, Data Science, or Computer Science (Highly Desirable)

Experience Requirements:

• 7-10+ years in the technology industry

• Strong background as a software developer, cloud engineer, or general solution architect

• 3-5 years of direct, hands-on experience working on data science and machine learning projects

• Experience taking machine learning models from prototype to production environment

Other Requirements:

• Deep expertise in major cloud providers (AWS, Azure, or Google Cloud)

• Strong understanding of microservices, API design, and containerization (Docker, Kubernetes)

• Proficiency with Python and ML libraries (Scikit-learn, Pandas, NumPy, TensorFlow, PyTorch)

• Experience in specific AI domains (NLP, Computer Vision, Recommender Systems)

• Knowledge of MLOps tools (MLflow, Kubeflow, SageMaker, Vertex AI)

Responsibilities:

• Architecting data and feature pipelines for model training

• Designing the blueprint for the entire ML workflow and environment

• Evaluating and selecting appropriate technologies and AI/ML stacks

• Architecting model deployment patterns (Real-time, Batch, Edge inference)

• Integrating principles of Responsible AI (Fairness, Explainability, Transparency)

Education Requirements:

• Bachelor’s degree in Computer Science, Cybersecurity, or related field

Experience Requirements:

• 3–5 years experience in Security Operations or System Security Engineering

• Focus on IAM, PAM, or endpoint security

• Practical experience with Microsoft Defender, Intune, Entra ID, and CyberArk

• Hands-on experience with Microsoft Sentinel and Microsoft security ecosystem

Other Requirements:

• Microsoft Certifications: SC-200, SC-300, SC-400, AZ-500

• Knowledge of SSO configuration (SAML, OAuth, OpenID Connect)

• Understanding of Zero Trust architecture and endpoint hardening

• Scripting knowledge with PowerShell or similar automation tools

• Strong knowledge of log formats and security telemetry

Responsibilities:

• Deploying, configuring, and monitoring Microsoft Defender for Endpoint

• Managing enterprise identity lifecycle using Microsoft Entra ID

• Administering Privileged Access Management (PAM) solutions with CyberArk

• Acting as the main coordinator between internal teams and the corporate SOC

• Optimizing Microsoft Sentinel for security monitoring and incident detection

Experience Requirements:

• Experienced in ML/AI serving optimization (low-latency, batch)

• Experienced in ML/AIOps and monitoring

• Experienced in product development and agile

• Experienced in SQL, Azure, Databricks, Golang, C++, Ray Framework (Preferred)

• Deployed AI/ML production grade for enterprise (Preferred)

Other Requirements:

• Knowledge of traditional machine learning, deep learning, and generative adversarial algorithms

• Understanding of Generative AI prompt engineering techniques

• Proficiency in Python, Torch, Tensorflow, CUDA, and SparkML

• Ability to use Docker, Kubernetes, and Apache Spark

• Hands-on CI/CD workflow for application and Data & AI pipelines

Responsibilities:

• Developing AI services and projects using ML, DL, and GenAI technologies

• Designing and optimizing ML pipeline/serving and GenAI prompts

• Developing AI & Data workflows to support automation processes

• Working closely with cross-functional teams to deliver production grade AI solutions

Education Requirements:

• Bachelor's Degree in Computer Science, Information Systems, Software Engineering, or a related field

• Master's Degree (Preferred) in Data Engineering, Information Management, or Business Analytics

Experience Requirements:

• Expertise in data services of a major cloud provider (AWS, Azure, or Google Cloud)

• Expert-level knowledge of cloud data warehouses (Snowflake, BigQuery, Redshift)

• Experience with workflow orchestration tools (Apache Airflow, Mage, or Dagster)

• Proficiency with distributed data processing frameworks like Apache Spark

• Experience with real-time data streaming (Kafka, Kinesis, Pub/Sub)

Other Requirements:

• Proficiency with Terraform or AWS CloudFormation (IaC)

• Deep understanding of data lake design (S3, ADLS) and Lakehouse architecture

• Strong proficiency in data modeling (Kimball, Inmon, Data Vault)

• Familiarity with data governance tools (Unity catalog, Collibra, Alation)

• Systems thinking and stakeholder management skills

Responsibilities:

• Translating business goals into a coherent data platform strategy

• Creating a long-term architectural vision and roadmap for the data platform

• Designing end-to-end data flows from ingestion to consumption

• Selecting and justifying technology stacks for the data platform

• Designing for scalability, security, reliability, and performance