Education Requirements:

• PhD in Computer Science, Machine Learning, Physics, or a related field.

Experience Requirements:

• 4+ years of professional experience in machine learning research, with at least 1+ years in a tech or people leadership role.

Responsibilities:

• Develop and implement the strategic vision for the ML Research group, ensuring alignment with company goals.

• Serve as a thought leader in state-of-the art ML research, using the latest approaches in diffusion models, equivariant neural nets and predictive ML

• Guide the team in designing, implementing, and validating novel machine learning models tailored to drug discovery challenges, including molecular property prediction, generative modeling, and protein-ligand interactions.

• Prioritize and balance short-term project deliverables with long-term foundational research initiatives.

• Ensure high standards of scientific rigor and reproducibility in research outputs.

Education Requirements:

• PhD in Computer Science, Machine Learning, Physics, or a related field.

Experience Requirements:

• 4+ years of professional experience in machine learning research, with at least 1+ years in a tech or people leadership role.

Responsibilities:

• Develop and implement the strategic vision for an ML Research team, ensuring alignment with company goals.

• Serve as a thought leader in state-of-the art ML research, using the latest approaches in diffusion models, equivariant neural nets and predictive ML

• Guide the team in designing, implementing, and validating novel machine learning models tailored to drug discovery challenges, including molecular property prediction, generative modeling, and protein-ligand interactions.

• Prioritize and balance short-term project deliverables with long-term foundational research initiatives.

• Ensure high standards of scientific rigor and reproducibility in research outputs.

Benefits:

• Competitive benefits and stock options

Education Requirements:

• Bachelor's degree in Business and Technology Studies, Computer Science, Software Engineering, Artificial Intelligence, or a related field. Advanced degree (Master's or Ph.D.) preferred.

Experience Requirements:

• Minimum 5 years of proven experience in technical roles such as Software Solution, Software Consulting, Implementation Engineer, or similar, with a focus on customer-facing technical support or solution design.

• Experienced in Prompt Engineering, with the ability to design, refine, and optimize AI prompts for AI/LLM applications.

• Experience engaging with enterprise-level customers, from gathering requirements to delivering tailored solutions.

Responsibilities:

• Drive the entire lifecycle of AI Agent deployment—from understanding customer requirements, through solution design, to hands-on implementation.

• Be at the cutting edge of AI, using Generative AI models to solve critical business problems and driving new features that impact the future of Beam's AI platform.

• Engage directly with customers across technical and executive teams, helping them discover automation opportunities and building AI solutions that enhance their operations.

Benefits:

• A competitive salary based on your experience.

• Above the market stock options—we give generous equity rewards to employees who buy into our mission and think long-term.

• We will invest in what you need to be at your best—whether it’s a standing desk, an ergonomic chair, or continuing education.

• The chance to tackle the most interesting and impactful problems and build everything from zero to one—there’s absolutely no boredom!

Experience Requirements:

• Proficient in React / Typescript with 6+ years of experience

• Extensive experience with collaborative editor tools or similar productivity tools

• Experience with CI/CD pipelines

• Familiar with CRDT and Yjs

Other Requirements:

• Plus: experience with Rust / Go / C++

• Plus: experience with backend development

• You are mission-driven. You are a great team player and a self-starter. You dream big, start small, and move fast.

• You are passionate about AppFlowy and open-source.

• Great communication skills. We work asynchronously by default.

Responsibilities:

• You’ll be building features from scratch and have full ownership over the whole process.

• You’ll wear many hats and jump between frontend, backend, product, operations and developer advocate.

• You’ll write high quality and well-documented code.

• You’ll perform code reviews and collaborate with others in the wider community.

• You’ll receive feedback from the best developers from all over the world.You’ll become an expert on collaborative software and a leader in open source.

Benefits:

• Growth engine: We encourage honest feedback and try to give everyone room to grow professionally and personally.

• Have Impact: you will make impactful decisions and drive results from day 1. You will have the opportunity to play a crucial role in building out a globally significant company.

• Innovative environment: we are dreaming BIG and building something that hasn’t been done before. We guarantee a challenging job with lots of responsibility and freedom to grow professionally and acquire new skills.

• Flexible work: Getting impactful results is what matters the most to us. It doesn't matter where in the world you work from.

• Fun and welcoming culture

Education Requirements:

• Bachelor’s/Master’s in Computer Science, Engineering, or a related field

Experience Requirements:

• 5+ years of front-end development experience.

Benefits:

• 🙌 Growth engine: We encourage honest feedback and try to give everyone room to grow professionally and personally.

• 🌟 Have Impact: you will make impactful decisions and drive results from day 1. You will have the opportunity to play a crucial role in building out a globally significant company.

• 🔭 Innovative environment: we are dreaming BIG and building something that hasn’t been done before. We guarantee that you will not be bored.

• 💰Competitive salary

• 🌏 Flexible work: Getting impactful results is what matters the most to us. It doesn't matter where in the world you work from.

Education Requirements:

• PhD or Master’s in machine learning/computer vision, computer science Or electrical engineering.

Experience Requirements:

• Minimum of 5+ years of relevant experience in Computer Vision

Experience Requirements:

• Prior experience (full-time or internship) as software tester / QA Analyst

Other Requirements:

• Must be willing to join as full-time employee

• Knowledge of defect tracking tools such as Jira

• Must know one programming language (Java, Python or JavaScript)

• Database knowledge (Relational or no-sql)

• Good understanding of web and mobile technologies

• Good communication skills

• Abilty to spend time late in the night to match the timing with the other team members

Responsibilities:

• Learn existing platform (LMS)

• Test code changes in each sprint (2 weeks sprint)

• Write test cases

• Work with other team members including development and product teams

Benefits:

• Selection of employer-covered medical plans, plus dental, vision, life insurance, and FSA

• Competitive parental leave policy

• Hybrid culture

• Company stock options, plus a 401k plan with employer contributions

• Learning and development stipend and generous PTO

Benefits:

• Selection of employer-covered medical plans, plus dental, vision, life insurance, and FSA

• Competitive parental leave policy

• Hybrid culture

• Company stock options, plus a 401k plan with employer contributions

• Learning and development stipend and generous PTO

Benefits:

• For you to take responsibility and make an impact from day one

• Team spirit, solidarity and mutual support are very important to us

• Exciting challenges in software development and consulting along the entire supply chain - conception and development of solutions that literally move a lot

• National and international projects with our well-known customers of all sizes and industries

• Compatibility of work, family and free time through flexible working hours, mobile working, also from home

Education Requirements:

• Completed (technical) university studies or HBO or comparable qualification in technical studies, logistics or economics

Experience Requirements:

• Initial knowledge of logistics and/or knowledge of an object-oriented programming language

Other Requirements:

• Analytical skills and IT affinity

• Communicative, open to exchange within the team and with the customer

• Conversational English, other foreign languages would be an advantage

Responsibilities:

• Working on customer based SAP EWM projects from concept creation and implementation to testing and go-live of the projects

• Picturing the technical requirements of our customers and creating concepts for the implementation and realisation

• Expanding the logistical processes to include customer-specific requirements

• Using the latest SAP technologies such as SAPUI5, programming and interface frameworks

Benefits:

• Spannende Aufgaben in einem stark wachsenden Unternehmen einer zukunftsorientierten Branche

• Vielfältige Möglichkeiten zur persönlichen Weiterentwicklung (z.B. Lean Management, Prozessoptimierung, etc.)

• Moderne Officeausstattung (z. B. Höhenverstellbarer Schreibtisch, moderne IT-Systeme)

• Wir stimmen gemeinsam Aufgaben, sowie deine Thesis nach deinem Bedarf ab

• Chance auf Übernahme

Education Requirements:

• Du befindest Dich derzeit in einem Studium (keine spezielle Fachrichtung erforderlich)

Experience Requirements:

• IT-Affinität und Interesse für Prozessmanagement / -optimierung

Other Requirements:

• Sehr gute Deutsch- sowie gute Englischkenntnisse

• Logisches und strukturiertes Denken

• Eigenverantwortliches und zuverlässiges Arbeiten

• Freude an der Zusammenarbeit im Team

Responsibilities:

• Unterstützung des IT Service Helpdesk vor Ort

• Mitarbeit im First-Level Support, Unterstützung der Benutzer vor Ort und Remote

• Erstellung und Pflege von technischen Dokumentationen

• Mitarbeit an IT-Projekten

• Unterstützung des Teams bei administrativen Tätigkeiten

Benefits:

• Medical/Dental/Vision, 401K match, PTO, and federally recognized holidays

• Competitive salaries with performance incentives

• Generous vacation policy and paid holidays

• Comprehensive health, dental, and vision insurance

• 401(k) with company match

Education Requirements:

• Bachelor's in Intelligence Studies, Computer Science, Data Analytics, or a related field, or an Associate degree with significant operational experience

Experience Requirements:

• At least five years in intelligence analysis within the U.S. intelligence community, preferably with exposure to military or other intelligence sectors

Other Requirements:

• U.S. Citizenship with Top Secret/SCI Clearance

• Must meet ICD 704 eligibility criteria without waivers or conditions

• This role requires a commitment to maintain a Final TOP SECRET SCI Clearance. Dual citizenship is not permitted, and the position mandates sole U.S. citizenship, following strict federal compliance guidelines

Responsibilities:

• bring your sharp analytical skills and extensive intelligence experience to fortify our operations

• be stationed at our client site in Camp Springs, MD, leveraging your expertise in intelligence analysis to navigate complex data landscapes

• Your role will be pivotal in synthesizing actionable insights from varied intelligence sources, including cybersecurity and border security sectors

Experience Requirements:

• experienced systems developers

Benefits:

• enhanced maternity, paternity, adoption, and shared parental leave

• private medical and dental insurance for yourself and any dependents

• flexible working options

• healthy food

• an on-site gym

Education Requirements:

• PhD in a technical field or equivalent practical experience

Experience Requirements:

• Knowledge of the latest in large machine learning research

• Experience working with simulators and real-world robots

• Expertise in using large datasets with deep neural networks to make real robots useful

• A real passion for AI impacting real world robots!

Responsibilities:

• Design, implement and evaluate models and software prototypes of robotic agents.

• Report and present research findings and developments including status and results clearly and efficiently both internally and externally, verbally and in writing.

• Suggest and engage in team collaborations to meet ambitious research goals.

• Work with external collaborators and maintain relationships with relevant research labs and key individuals as appropriate

Benefits:

• enhanced maternity, paternity, adoption, and shared parental leave

• private medical and dental insurance for yourself and any dependents

• flexible working options

• healthy food

• an on-site gym

Education Requirements:

• PhD/MS in Computer Science or Robotics; or equivalent practical experience

Experience Requirements:

• Experience working with real-world robots, preferably Humanoid platforms

• Strong exposure to Machine Learning/AI systems

• Experience on solving practical Safety challenges, performing Risk Assessments

• Working with different stakeholders to define and implement safety guidelines to ensure the safety of humans and robots in mixed environments, and also ensure that research velocity is not compromised

• Understanding of ISO/RIA Safety Standards

Responsibilities:

• Performing Hazard and Risk Analysis for emerging Robotics Platforms

• Provide expertise and guidance on Implementing state-of-the-art safety solutions on our robots and workcells, to enable safe data collection and model evaluation

• Working closely with Google DeepMind Robotics Researchers to accelerate development of new capabilities while ensuring safety.

• Coordinating with Environment, Health and Safety (EHS) teams to ensure consistency across GDM Robotics Labs.

• Preparing Safety training materials

Benefits:

• enhanced maternity, paternity, adoption, and shared parental leave

• private medical and dental insurance for yourself and any dependents

• flexible working options

• healthy food

• an on-site gym

Education Requirements:

• At least 10 years experience in ASIC physical design flows and methodologies in advanced nodes

Experience Requirements:

• Experience from PD for high performance compute IPs (e.g., GPUs, DSPs, or machine learning accelerators).

• Successful track record of delivering tape-outs to production.

• Capability and strong willingness to work in PD in a research environment.

• Hands on experience and a solid understanding of ASIC physical design, physical design flows and methodologies including synthesis, place and route, STA, Formal Verification, CDC and Power Analysis using tools such as Design Compiler, FC, Innovus, PrimeTime, PrimeTime-PX, Calibre, ICV, Conformal, RedHawk, Spyglass and PowerArtist.

• Strong scripting skills in Python, TCL, BASH

Responsibilities:

• Work in a fast and interdisciplinary team bringing together experts from Machine Learning, Hardware, Programming Languages and Systems

• Work in close collaboration with HW architects and design engineers rapidly iterating experimental designs, giving rapid yet reliable feedback on the performance, power and area of different design options.

• Drive architectural feasibility studies, explore RTL/design tradeoffs for physical design closure.

• Perform block level physical implementation steps including synthesis, floorplanning, place and route, power/clock distribution, congestion analysis, STA, timing closure, EM-IR, PV, CDC analysis, LEC etc.

• Provide actionable feedback to silicon design engineers and architects for design improvements.

Benefits:

• enhanced maternity, paternity, adoption, and shared parental leave

• private medical and dental insurance for yourself and any dependents

• flexible working options

• healthy food

• an on-site gym

Education Requirements:

• PhD in Computer Science, Statistics, or a related field

Experience Requirements:

• Strong publication record in top machine learning conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, ECCV)

• Expertise in one or more of the following areas: natural language processing, computer vision, reinforcement learning

• Experience with training, evaluating, or interpreting large language models

• Proven ability to design and execute independent research projects

• Excellent communication and collaboration skills

Responsibilities:

• Develop novel multimodal LLM architectures with a focus on memory

• Investigate post-training techniques for planning and reasoning

• Develop and evaluate applications of multimodal LLMs for personalized and agentic experiences

Benefits:

• enhanced maternity, paternity, adoption, and shared parental leave

• private medical and dental insurance for yourself and any dependents

• flexible working options

• healthy food

• an on-site gym

Education Requirements:

• Ph.D. in Computer Science or related quantitative field, or B.S./M.S. in Computer Science or related quantitative field with 5+ years of relevant experience

Experience Requirements:

• Experience in Machine Learning (ML), especially on ML for hardware, ML for compilers or ML for optimization

Responsibilities:

• Contribute and drive ML for Physical Design, Logical Synthesis, Verification and RTL generation.

• Architect, guide and vet designs, algorithms and solutions, writing development code to solve ambiguous problems.

• Identify unsolved impactful research problems in Chip Design, inspired by current and future real world needs.

• Define Scope, plan and organise projects towards common goals.

• Amplify impact by generalising solutions into reusable libraries for many use cases. Share knowledge through publications, open sourcing and education.

Benefits:

• enhanced maternity, paternity, adoption, and shared parental leave

• private medical and dental insurance for yourself and any dependents

• flexible working options

• healthy food

• an on-site gym

Education Requirements:

• 10+ years of product management experience

Experience Requirements:

• Deep passion for and understanding of Gen AI technologies and market trends

• Deep passion for and experience with developing elegant consumer user experiences

• Experience developing full-stack (UX plus AI/ML/back-end), deeply technical products

• Track record of leading large cross-functional teams to land ambitious strategies

• Extremely strong analytical and problem solving skills

Responsibilities:

• Partner closely with Engineering, UX Design, Data Science, UX Research, and Marketing

• Understand users deeply through data science, user feedback, and user research

• Work integrally with UX to design elegant, delightful journeys for web and across platforms

• Develop features and roadmaps based on user feedback, UX research, metrics, market trends, and market alternatives

• Collaborate with cross-functional teams to design, implement, and launch innovative features within Gemini, leveraging the latest advances in AI and large language models

Benefits:

• enhanced maternity, paternity, adoption, and shared parental leave

• private medical and dental insurance for yourself and any dependents

• flexible working options

• healthy food

• an on-site gym

Education Requirements:

• A portfolio of a minimum of 5 years events experience that demonstrates a breadth of events of varying scope, scale and audiences

Experience Requirements:

• A good understanding of the Product Impact Unit’s audience which is predominantly consumers, customers, developers, creators and advertisers.

• Experience creating events that build culture and employee engagement

• A natural problem solver.

• Curious and always open to new ideas and learning opportunities.

• Creative and innovative and excited by charting new paths.

Responsibilities:

• Gain a deep understanding of the mission and key objectives of Google DeepMind and the Product Impact Unit.

• Partner closely with the Unit Operations team in the Product Impact Unit to ensure alignment across Unit activities.

• Work autonomously as well as part of the global Events & Experiences team.

• Proactively design a strategic internal and external program of global events aligned with the Unit’s mission and goals.

• Respond quickly to briefs from Unit leads to create event experiences in support of specific objectives, often with a short lead time.