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Location: Islamabad, Pakistan Workplace: hybrid Our AI Customer Support and Safety team is working on many areas including Computer Vision, NLP, RL etc, bringing business value to our products and improving the lives of our customers. Now we are aiming to strengthen several streams and looking for an experienced middle Machine Learning Engineer , who will help us in our journey. The primary focus for this position will be automation of the driver verification process, for which experience in computer vision is essential. Key Responsibilities Develop, deploy, and maintain machine learning models and systems Conduct in-depth data analysis, preparation, and processing Contribute to the design of ML systems, focusing on data-related aspects like annotation and processing Follow established security guidelines and identify potential risks Collaborate with peers to review and ensure designs are effective, flexible, and reusable Solve issues and provide feedback for engineering design and delivery processes Ensure that features are deployed according to requirements and operate without unintended side effects Create and maintain comprehensive documentation for models and processes Monitor and support deployed solutions to ensure they meet performance expectations Actively seek out information and internal solutions to ensure reusability and adoption of common technologies Our expectations 3+ years of experience in the Field. Previous software engineering experience is preferrable Strong proficiency in Python and its common data processing frameworks (e.g., for streaming, batch, and asynchronous data). Strong foundational knowledge in classical machine learning, deep learning, and advanced mathematics. Familiarity with MLOps principles and experience using MLOps tools for managing the ML model lifecycle. Experience with backend systems and infrastructure, and a willingness to learn new technologies (like Golang) for integration purposes. The ability to design solutions using common design patterns and various design tools. Experience in experiment design and the ability to validate the credibility of information from various sources. A solid understanding of the business value of delivered features. Strong problem-solving skills, with an emphasis on using technical facts and reasoning. Excellent communication and collaboration skills, including active listening and the ability to build consensus. A strong drive for continuous self-development and a collaborative mindset for contributing to communities. Ability to balance quality and speed depending on the case, and justify your decision Ability to explain the background and consequences of your technical decisions to non-technical stakeholders, including product and business managers English communication skills Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Cairo, Egypt Workplace: hybrid Our AI Customer Support and Safety team is working on many areas including Computer Vision, NLP, RL etc, bringing business value to our products and improving the lives of our customers. Now we are aiming to strengthen several streams and looking for an experienced middle Machine Learning Engineer , who will help us in our journey. The primary focus for this position will be automation of the driver verification process, for which experience in computer vision is essential. Key Responsibilities Develop, deploy, and maintain machine learning models and systems Conduct in-depth data analysis, preparation, and processing Contribute to the design of ML systems, focusing on data-related aspects like annotation and processing Follow established security guidelines and identify potential risks Collaborate with peers to review and ensure designs are effective, flexible, and reusable Solve issues and provide feedback for engineering design and delivery processes Ensure that features are deployed according to requirements and operate without unintended side effects Create and maintain comprehensive documentation for models and processes Monitor and support deployed solutions to ensure they meet performance expectations Actively seek out information and internal solutions to ensure reusability and adoption of common technologies Our expectations 3+ years of experience in the Field. Previous software engineering experience is preferrable Strong proficiency in Python and its common data processing frameworks (e.g., for streaming, batch, and asynchronous data). Strong foundational knowledge in classical machine learning, deep learning, and advanced mathematics. Familiarity with MLOps principles and experience using MLOps tools for managing the ML model lifecycle. Experience with backend systems and infrastructure, and a willingness to learn new technologies (like Golang) for integration purposes. The ability to design solutions using common design patterns and various design tools. Experience in experiment design and the ability to validate the credibility of information from various sources. A solid understanding of the business value of delivered features. Strong problem-solving skills, with an emphasis on using technical facts and reasoning. Excellent communication and collaboration skills, including active listening and the ability to build consensus. A strong drive for continuous self-development and a collaborative mindset for contributing to communities. Ability to balance quality and speed depending on the case, and justify your decision Ability to explain the background and consequences of your technical decisions to non-technical stakeholders, including product and business managers English communication skills Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Almaty, Kazakhstan Workplace: hybrid Our AI Customer Support and Safety team is working on many areas including Computer Vision, NLP, RL etc, bringing business value to our products and improving the lives of our customers. Now we are aiming to strengthen several streams and looking for an experienced middle Machine Learning Engineer , who will help us in our journey. The primary focus for this position will be automation of the driver verification process, for which experience in computer vision is essential. Key Responsibilities Develop, deploy, and maintain machine learning models and systems Conduct in-depth data analysis, preparation, and processing Contribute to the design of ML systems, focusing on data-related aspects like annotation and processing Follow established security guidelines and identify potential risks Collaborate with peers to review and ensure designs are effective, flexible, and reusable Solve issues and provide feedback for engineering design and delivery processes Ensure that features are deployed according to requirements and operate without unintended side effects Create and maintain comprehensive documentation for models and processes Monitor and support deployed solutions to ensure they meet performance expectations Actively seek out information and internal solutions to ensure reusability and adoption of common technologies Our expectations 3+ years of experience in the Field. Previous software engineering experience is preferrable Strong proficiency in Python and its common data processing frameworks (e.g., for streaming, batch, and asynchronous data). Strong foundational knowledge in classical machine learning, deep learning, and advanced mathematics. Familiarity with MLOps principles and experience using MLOps tools for managing the ML model lifecycle. Experience with backend systems and infrastructure, and a willingness to learn new technologies (like Golang) for integration purposes. The ability to design solutions using common design patterns and various design tools. Experience in experiment design and the ability to validate the credibility of information from various sources. A solid understanding of the business value of delivered features. Strong problem-solving skills, with an emphasis on using technical facts and reasoning. Excellent communication and collaboration skills, including active listening and the ability to build consensus. A strong drive for continuous self-development and a collaborative mindset for contributing to communities. Ability to balance quality and speed depending on the case, and justify your decision Ability to explain the background and consequences of your technical decisions to non-technical stakeholders, including product and business managers English communication skills Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Muscatatuck, IN, United States Job Title Computer Systems Administrator I Why IDS? IDS believes in resolving conflict, building innovative approaches to do so. Combining operational expertise with an intimate understanding of today’s greatest challenges, we bring our customers the solutions required for success in a complex and multidimensional world. IDS tailors solutions for a diverse range of government, military, nonprofit, and public-sector clients. Locations Muscatatuck, Indiana Shifts Available Please note, candidates must be flexible. Shift times are general hours; some projects may require earlier or later reporting based on customer requirements. Job Description IDS is seeking a Computer Systems Administrator I to support the administration, operation, and maintenance of enterprise computing environments. The selected candidate will provide technical support for Windows and Linux systems, assist with network and infrastructure operations, and support virtualized and cloud-based environments. This role requires experience administering computer systems, monitoring infrastructure performance, and maintaining secure and reliable computing environments in support of mission requirements. Key Duties • Administer and maintain Windows enterprise and Linux server operating systems. • Support the operation and maintenance of computer systems and network infrastructure. • Monitor system and infrastructure performance to ensure availability and reliability. • Support cloud, physical, and virtual network environments. • Configure, manage, and troubleshoot virtualized platforms and services. • Maintain system documentation and administrative records. • Assist with system updates, patches, and configuration management activities. • Support implementation and maintenance of security controls and system hardening measures. • Troubleshoot hardware, software, and network-related issues. • Coordinate with technical teams to support operational and project requirements. Requirements • Bachelor's degree or equivalent experience. • Active Secret security clearance required. • Minimum of two (2) years of experience working with computer systems. • Demonstrated experience with Windows enterprise and Linux server operating systems engineering and administration. • Demonstrated experience with cloud, physical, and virtual network architecture, engineering, and infrastructure monitoring. • Expertise with hypervisors such as VMware, KVM, and Xen. Compensation • Competitive Hourly Pay • Benefits

Location: Muscatatuck, IN, United States Job Title Computer Systems Analyst OT I (Computer Systems Analyst) Why IDS? IDS believes in resolving conflict, building innovative approaches to do so. Combining operational expertise with an intimate understanding of today’s greatest challenges, we bring our customers the solutions required for success in a complex and multidimensional world. IDS tailors solutions for a diverse range of government, military, nonprofit, and public-sector clients. Locations Muscatatuck, Indiana Shifts Available Please note, candidates must be flexible. Shift times are general hours; some projects may require earlier or later reporting based on customer requirements. Job Description IDS is seeking a Computer Systems Analyst OT I to support Operational Technology (OT) environments and associated networked systems. The selected candidate will assist with the analysis, administration, and maintenance of systems supporting training and operational requirements. This role requires experience working with OT systems, networking technologies, and Windows and Linux operating environments. The ideal candidate will support a variety of technologies and devices commonly found within modern operational and industrial environments, including ICS/SCADA, IoT, RF, and integrated sensor systems. Key Duties • Support the operation and maintenance of Operational Technology (OT) systems and networks. • Analyze and troubleshoot system and network performance issues. • Assist with administration of Windows enterprise and Linux server operating systems. • Support integration and operation of ICS/SCADA, IoT, RF, and camera systems. • Monitor system performance and assist with infrastructure maintenance activities. • Support configuration and documentation of operational technology environments. • Assist with system upgrades, maintenance, and troubleshooting efforts. • Coordinate with technical teams to support mission, training, and operational objectives. • Maintain technical documentation and system records. • Support secure and reliable operation of OT and networked systems. Requirements • Associate degree or equivalent experience. • Active Secret security clearance required. • Minimum of one (1) year of experience working with computer systems, Operational Technology, and networking. • Demonstrated experience with Windows enterprise and Linux server operating systems engineering and administration. • Demonstrated experience with a wide variety of technologies including camera systems, ICS/SCADA, IoT, and RF devices. Compensation • Competitive Hourly Pay • Benefits

Location: Muscatatuck, IN, United States Job Title Computer Systems Engineer I (Computer Network Architect) Why IDS? IDS believes in resolving conflict, building innovative approaches to do so. Combining operational expertise with an intimate understanding of today’s greatest challenges, we bring our customers the solutions required for success in a complex and multidimensional world. IDS tailors solutions for a diverse range of government, military, nonprofit, and public-sector clients. Locations Muscatatuck, Indiana Shifts Available Please note, candidates must be flexible. Shift times are general hours; some projects may require earlier or later reporting based on customer requirements. Job Description IDS is seeking a Computer Systems Engineer I (Computer Network Architect) to support the design, implementation, operation, and maintenance of complex cyber range and test bed environments. The selected candidate will be responsible for architecting and configuring physical, virtual, and cloud-based network infrastructures that support training, testing, and operational requirements. This role requires experience with network engineering, systems administration, virtualization technologies, automation tools, and infrastructure orchestration. The ideal candidate will possess a strong understanding of enterprise Windows and Linux environments, cyber infrastructure, and emerging technologies including ICS/SCADA, IoT, RF, and integrated sensor systems. Key Duties • Design, configure, and maintain cyber range and computer test bed environments. • Architect and support physical, virtual, and cloud-based network infrastructures. • Configure and manage routing, switching, firewalls, DNS, Active Directory, VPNs, VLANs, and SAN technologies. • Deploy and maintain bare metal and virtualized systems in support of mission requirements. • Develop and implement automation, provisioning, imaging, orchestration, and configuration management solutions. • Utilize tools such as Ansible, Chef, FOG, Python, and Bash to streamline system administration and deployment activities. • Engineer and administer VMware, KVM, Xen, and other virtualization platforms. • Administer and maintain Windows enterprise and Linux server operating systems. • Monitor infrastructure performance and support network and systems troubleshooting activities. • Identify and address network vulnerabilities, attack vectors, and mitigation strategies. • Support integration and operation of technologies including camera systems, ICS/SCADA environments, IoT devices, and RF systems. • Collaborate with stakeholders to support cyber training, testing, and operational objectives. Requirements • Bachelor's degree or equivalent experience. • Must meet DoDM 8140.03 IAT II requirements. • Active Secret security clearance required. • Minimum of three (3) years of experience in the configuration and operation of cyber range or computer test bed environments. • Demonstrated experience designing and configuring computer networks, including routing, switching, firewalls, DNS, Active Directory, VPNs, VLANs, and SANs utilizing bare metal and virtualized systems. • Demonstrated experience with automation, provisioning, imaging, orchestration, and configuration management using Ansible, Chef, FOG, Python, and Bash scripting. • Cloud, physical, and virtual network architecture, engineering, and infrastructure monitoring experience. • Experience with hypervisors such as VMware, KVM, and Xen. • Demonstrated experience with Windows enterprise and Linux server/operating systems engineering and administration. • Knowledge of network vulnerabilities, attack vectors, and mitigation techniques. • Demonstrated experience working with technologies including camera systems, ICS/SCADA, IoT, and RF devices. Compensation • Competitive Hourly Pay • Benefits

Location: Muscatatuck, IN, United States Job Title Information Technology Technician I (Computer Network Support Specialist) Why IDS? IDS believes in resolving conflict, building innovative approaches to do so. Combining operational expertise with an intimate understanding of today’s greatest challenges, we bring our customers the solutions required for success in a complex and multidimensional world. IDS tailors solutions for a diverse range of government, military, nonprofit, and public-sector clients. Locations Muscatatuck, Indiana Shifts Available Please note, candidates must be flexible. Shift times are general hours; some projects may require earlier or later reporting based on customer requirements. Job Description IDS is seeking an Information Technology Technician I to provide technical support for computer systems, network infrastructure, and enterprise IT environments. The selected candidate will assist with the administration, maintenance, monitoring, and troubleshooting of Windows and Linux systems while supporting physical, virtual, and cloud-based network environments. This position requires a foundation in information technology and networking, along with experience supporting enterprise systems and virtualization technologies in a secure operational environment. Key Duties • Support the operation and maintenance of computer systems and network infrastructure. • Assist with administration of Windows enterprise and Linux server operating systems. • Monitor system and network performance across physical, virtual, and cloud environments. • Troubleshoot hardware, software, and network-related issues. • Support virtualization platforms and hosted environments. • Assist with implementation and maintenance of network and system configurations. • Support infrastructure monitoring and routine system maintenance activities. • Identify and report system vulnerabilities and support mitigation efforts. • Maintain technical documentation and administrative records. • Coordinate with technical teams to support operational and project requirements. Requirements • Associate degree or equivalent experience. • Active Secret security clearance required. • Minimum of one (1) year of experience working with computer systems, information technology, and networking. • Demonstrated experience with Windows enterprise and Linux server operating systems engineering and administration, including knowledge of network vulnerabilities, attack vectors, and mitigation. • Demonstrated experience with cloud, physical, and virtual network architecture, engineering, and infrastructure monitoring. • Expertise with hypervisors such as VMware, KVM, and Xen. Compensation • Competitive Hourly Pay • Benefits

Location: Muscatatuck, IN, United States Cellular / Radio Frequency (RF) Engineer – II (Electronics Engineer, Except Computer) Why IDS? IDS delivers innovative, mission-focused solutions that support national security and critical operations. Our teams combine deep technical expertise with operational excellence to solve complex challenges across defense and government environments. At IDS, you’ll contribute to cutting-edge programs supporting advanced communications and training systems. Location Muscatatuck, Indiana Job Description IDS is seeking a skilled Cellular / Radio Frequency (RF) Engineer II to support advanced telecommunications and spectrum operations in a DoD environment. This role focuses on cellular system operations, RF engineering, and spectrum coordination to support cyber training and test range activities. The ideal candidate will have hands-on experience with modern cellular technologies, frequency management, and regulatory coordination to ensure effective and compliant communications environments. Key Responsibilities Support operations and maintenance of cellular and RF systems across training environments Configure and manage 2G, 3G, 4G, and 5G cellular technologies Perform frequency management and spectrum coordination to support mission requirements Coordinate with license owners and stakeholders for spectrum usage Develop and submit FCC licensing applications , including Experimental Special Temporary Authority (STA) requests Coordinate and deconflict spectrum usage to enable training objectives and operational readiness Analyze performance of telecommunication systems and transmission media Support integration of cellular infrastructure within cyber range environments Requirements Education Bachelor’s degree in Electronics Engineering, Spectrum Management, or related discipline OR equivalent experience in lieu of degree Experience Minimum of 5 years of experience in: Cellular system operations Radio Frequency (RF) engineering Spectrum management Hands-on experience with: 2G, 3G, 4G, and 5G technologies Cellular frequency coordination and management Experience with: FCC licensing processes , including Experimental STA applications or similar Coordinating and deconflicting spectrum with stakeholders Strong understanding of: Telecommunication equipment and transmission media System components and communication architectures Practical knowledge of: Telecommunications methods, techniques, and operational best practices Desired Skills Strong analytical and troubleshooting skills Experience in DoD or training range environments Knowledge of emerging wireless and RF technologies Ability to coordinate across technical teams and external stakeholders Strong documentation and communication skills Security Clearance Active Top Secret (TS) / Sensitive Compartmented Information (SCI) required

Location: Muscatatuck, IN, United States Senior Network Engineer – III (Computer Network Architect) Why IDS? IDS delivers innovative, mission-focused solutions that support national security and critical operations. By combining technical expertise with operational insight, we help solve complex challenges across DoD and government environments. At IDS, you’ll contribute to high-impact programs supporting advanced cyber and network operations. Location Muscatatuck, Indiana Job Description IDS is seeking a highly experienced Senior Network Engineer III to support enterprise and cyber range network architecture within a DoD environment. This position requires deep expertise in designing, implementing, and managing complex network infrastructures across distributed test range environments. The ideal candidate will serve as a technical leader responsible for network design, wireless infrastructure integration, and support of advanced cyber test and training environments. Key Responsibilities Design, configure, and maintain enterprise network architectures supporting cyber range operations Manage and optimize routing, switching, firewalls, DNS, VPNs, and VLANs Support distributed test range environments , including policy and procedure development Engineer and maintain network infrastructure across physical and virtualized systems Provide technical support for DoD network nodes and cyber range platforms Develop and implement network policies, standards, and best practices Support wireless network infrastructure , including modern cellular and Wi-Fi technologies Troubleshoot complex network issues and ensure high availability and performance Requirements Education Bachelor’s degree in Network Engineering, Cybersecurity, Information Management, or related discipline OR equivalent experience in lieu of degree Certifications Must meet DoD 8140.03 IAT II requirements (e.g., Security+, CCNA Security, or equivalent) Experience Minimum of 10 years of experience in cyber range or computer testbed environments Expert-level experience designing and configuring: Routing, switching, firewalls DNS, VPNs, VLANs Enterprise network infrastructure across bare metal and virtualized systems Experience supporting distributed test range environments , including development of policies and procedures Experience with wireless and cellular technologies , including: 802.11 (Wi-Fi) 2G, 3G, 4G, and 5G networks Experience configuring and managing DoD network nodes , including environments such as JIOR (Joint Information Operations Range) Proven ability to operate in complex, mission-driven DoD environments Desired Skills Strong network architecture and engineering leadership Advanced troubleshooting and analytical skills Experience in cyber range or training environments Strong documentation and communication skills Ability to lead initiatives and work across technical teams Security Clearance Active Top Secret (TS) / Sensitive Compartmented Information (SCI) required

— Разработка и оптимизация алгоритмов компьютерного зрения. — Детекция и трекинг людей и объектов на видеопотоках.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Life Sciences team is building a research group focused on biological discoveries by combining AI with hands-on biological research. We're seeking a research scientist who combines deep chemistry knowledge with machine learning expertise to join the team. Our goal is to speed up progress in the life sciences by an order of magnitude, and this role puts that mission into practice. You'll be a computational chemist who knows reactions, synthesis, and medicinal chemistry in depth and has hands-on experience training and evaluating machine learning models. Above all, you'll build the reinforcement learning environments, datasets, and evaluations that teach Claude chemistry. Working alongside our bench chemists and AI researchers, you'll turn real chemistry problems and experimental data into training tasks and measure whether the models get better at them. This role is fully on-site in the San Francisco Bay Area. Key responsibilities Design and build reinforcement learning environments for chemistry end to end, including task design, data curation, automated grading, and checks against shortcuts and data leakage Design and source new experimental datasets, environments, and evaluations with our bench chemists, and external research and academic partners Develop evaluations that measure model performance on real chemistry tasks, such as reaction outcome prediction, synthesis planning, structure elucidation, and compound design, and feed results back to research teams Run and analyze training experiments with AI research teams, diagnose where models fail at chemistry, and prioritize what to build next Ensure datasets and environments are high quality and well documented, including sources, train and test splits, and failure modes Communicate findings clearly to chemistry, AI research, and life sciences audiences Minimum qualifications PhD in chemistry, computational chemistry, or a related field Deep knowledge of organic and medicinal chemistry, including reactions, synthesis, and SAR, with experimental data as your ground truth Strong Python skills and solid machine learning fundamentals, with hands-on experience training and evaluating models Comfort navigating ambiguity and defining problems in a rapidly evolving research environment Ability to work independently while collaborating effectively across cross-functional teams, with strong written and verbal communication skills Preferred qualifications Experience with reinforcement learning, large language models, or building evaluations and benchmarks Track record of supporting drug discovery programs alongside medicinal and synthetic chemists Experience curating chemistry datasets from the literature, patents, or lab notebooks, including reaction, ADMET, and spectroscopic data Cheminformatics and molecular modeling skills, for example RDKit, docking, free energy calculations, or quantum chemistry Hands-on synthetic or medicinal chemistry experience at the bench Publications, patents, or open-source software demonstrating scientific impact The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the role:  We are seeking talented distributed systems engineers who are passionate about building innovative solutions for application deployment. Your mission will be to enhance the capabilities of Replit Infrastructure, optimize performance across global regions, and drive efficiency while delivering an exceptional user experience. If you have a strong foundation in software development, a deep understanding of cloud technologies, and a track record of delivering high-quality code, we want to hear from you.  In this role you will: - Expand Replit's cloud infrastructure offerings: Launch new cloud products to be used by Replit Agent to build complex apps. Collaborate with cross-functional teams to design and implement these features, empowering developers with a comprehensive suite of tools to build and deploy their applications efficiently. - Enhance reliability and scalability: Identify bottlenecks, optimize critical paths, and implement robust monitoring and alerting systems. Work closely with the SRE team to ensure high availability and minimal downtime. Enable our customers to seamlessly scale their applications to meet the demands of their growing user base. - Improve utilization of cloud infrastructure: Analyze our infrastructure costs and identify opportunities for optimization. Implement strategies to reduce cloud expenses without compromising performance or reliability. This could involve techniques such as resource provisioning, auto-scaling, cost-aware scheduling, and data lifecycle management. Your efforts will directly contribute to the financial efficiency of our cloud services. Required skills and experience: - Distributed systems: Track record of working with platform-as-a-service, distributed storage, or information retrieval systems. Experience in designing scalable architectures and optimizing systems for latency or cost.  - Problem-solving mindset: Ability to approach complex challenges pragmatically and devise effective solutions. You think radically but ship incrementally. - Self-directed and autonomous: Able to work independently, set priorities, and drive projects forward. You take ownership and initiative. - Versatility and flexibility: Able to wear multiple hats and tackle a wide range of challenges. You are comfortable working across different layers of the stack and adapting to the needs of the project. - Continuous learning and adaptability: Passionate about staying up-to-date with industry trends and expanding your skill set. You embrace change and adapt quickly. Nice to have: - Experience working on cloud infrastructure or platform products, particularly in the areas of application deployment, serverless computing, or container orchestration. - Familiarity with Google Cloud Platform (GCP) services and tools, such as GCE, GKE,, Cloud Run, or Cloud Storage. - Contributions to open-source projects related to cloud technologies, deployment frameworks, or developer tools. We love OSS! Tools + Tech Stack for this role - Golang, Rust This role may not be a fit if - You are a generalist backend engineer who hasn’t built scalable distributed systems. - You cannot take part in the oncall rotation of min 6 people. - You do not enjoy diving into Linux internals.  This is a full-time role that can be held from our Foster City, CA office. The hybrid role has an in-office requirement of Monday, Wednesday, and Friday. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Compute is one of the most capital-intensive and strategically important functions at Baseten. Every inference request we serve runs on capacity we have sourced, contracted, and financed, and the deals behind that capacity are growing in size and complexity. As a member of the Strategic Compute Investments team, you will work on some of the largest and most complex compute investments. Working directly with our Head of Supply, Finance, and company leadership, you will structure, model, diligence, and help negotiate the large compute, data center, and infrastructure transactions that determine how fast and how profitably Baseten can grow. WHAT YOU'LL DO - Own the analytical and structuring work behind major supply transactions, including multi-year capacity commitments, data center and powered land opportunities, and strategic partnerships - Build the financial models that underwrite each deal, from unit economics and TCO through return, risk, and scenario analysis, and turn them into clear recommendations for leadership - Design deal structures that balance cost, flexibility, and risk, including commitment terms, payment timing, prepayments, and financing options - Lead diligence on counterparties and opportunities, coordinating across Finance, Legal, Engineering, and external advisors - Track market pricing, capital flows, and financing trends across the compute and infrastructure landscape to inform strategy WHAT WE'RE LOOKING FOR - 7-10 years of experience in investment banking, private equity, infrastructure or real estate investing, venture or growth investing, management consulting, or a comparable corporate finance or corporate development role - Hands-on experience structuring, modeling, and executing complex transactions from first look through close - Exceptional financial modeling and analytical skills, with the judgment to turn analysis into a clear recommendation - Strong communication skills and comfort working directly with senior leadership and external counterparties - High ownership and comfort with ambiguity: you want to build the process, not inherit one - Genuine interest in AI infrastructure and the economics of compute NICE TO HAVE - Experience investing in or financing digital infrastructure, data centers, power, or energy - Exposure to compute, cloud, or GPU markets, including capacity contracts or infrastructure financing - Prior experience moving from a finance or investing seat into an operating role at a high-growth company BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Our Strategic Deals team originates, structures, negotiates, and closes the deals that secure the compute Anthropic uses to train and serve frontier AI systems. We work closely with engineering, infrastructure, finance, legal, product, and go-to-market teams to expand Anthropic's access to cloud capacity, silicon, networking, and the financing behind them. We are hiring several Strategic Deals Leads focused on compute and infrastructure. In this role, you will source opportunities, design partnerships, and negotiate high-value agreements with some of the world's largest technology companies, and you will connect deal terms to structured finance solutions. Your work will directly shape how quickly and reliably Anthropic can bring new compute online. Each hire will bring deep expertise in one or more of these areas while working across the broader infrastructure stack: Cloud compute: building and running a pipeline of capacity across established and emerging cloud providers, and structuring the financing that connects capacity commitments to their economics. Compute infrastructure: going deep into the silicon supply chain, structuring co-development and early-access deals with semiconductor and emerging hardware companies, and securing networking, backbone, and memory supply. Compute partnerships: owning multi-year partnerships with the largest cloud providers, where compute commitments, financing structures, model availability on partner platforms, marketplace and co-sell arrangements, and pricing and revenue-share constructs are negotiated together. Key responsibilities Own deals end to end in your focus area, from opportunity identification and term sheet development through diligence, negotiation, internal approval, close, and post-close execution Lead negotiations for complex, high-value agreements with hyperscalers and other cloud providers, semiconductor and hardware suppliers, networking and memory vendors, data center operators, and emerging infrastructure companies Bring capital markets and financing thinking to every transaction, including vendor financing, equipment leasing, capacity prepayments, project finance, and credit and residual value guarantees Build financial models, term analyses, and commercial frameworks that compare supply options and give leadership a clear view of value, tradeoffs, and risk-adjusted outcomes Partner with engineering and infrastructure teams to understand future workload requirements and translate them into long-term supply strategies and commercially viable deal terms Build and own senior relationships with commercial, finance, product, and legal counterparts across the AI infrastructure ecosystem Drive internal alignment with legal, finance, engineering, product, and go-to-market teams on deal terms, risk parameters, and the approval path for large commitments Track market, technology, competitive, and financing developments across AI infrastructure, including supply constraints, and turn them into clear recommendations for senior leadership Represent Anthropic externally with corporate executives, investment banks, and infrastructure investors involved in our transactions Minimum qualifications A track record of originating, structuring, negotiating, and closing complex, high-value technology, infrastructure, or capacity transactions as the principal and lead negotiator (not in a supporting or advisory capacity) and the ability to operate independently from day one Transactional experience in at least one focus area: cloud capacity or data center transactions, semiconductor and hardware supply (accelerators, CPU, memory, or networking, including backbone), or hyperscaler and cloud partnerships Working knowledge of how large infrastructure commitments are financed, such as vendor financing, take-or-pay obligations, equipment leasing, or project finance, and the ability to shape financing terms alongside commercial terms Financial modeling skills to build and pressure-test the economics of large infrastructure transactions Experience developing term sheets and negotiating definitive agreements alongside legal counsel Ability to work with technical teams and translate engineering requirements into deal structures, contract terms, and strategic business recommendations Experience negotiating agreements that combine infrastructure or capacity terms with commercial, product, or go-to-market terms, and an understanding of how those components interact Experience building partnerships and influencing senior stakeholders across internal and external organizations, including executive leadership Preferred qualifications 8–10+ years of experience in strategic deals, corporate development, partnerships, investment banking, or business development at technology companies, hyperscalers, cloud providers, or financial institutions, with direct transactional ownership Direct experience working with or inside a hyperscaler on AI or cloud partnerships, including familiarity with model gardens, marketplaces, co-sell programs, and partner economics Experience managing multiple high-value transactions simultaneously at different stages of maturity and commercial development Comfort operating in fast-moving, ambiguous environments where market structures, provider economics, and partnership norms are still evolving A genuine interest in the future of AI infrastructure and in Anthropic's mission of building safe, beneficial AI We're hiring for several roles on this team. Apply once, and we'll match you to the focus area that best fits your background. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $265,000 — $325,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Beam is looking for a Compute Trader to match customer GPU demand with available capacity, negotiate supplier terms, and manage capacity sourcing.

Имплементация и поддержка в производстве высоконагруженных CV моделей. Создание, обсуждение и проверка гипотез по улучшению качества моделей.

Location: San Francisco, CA; Sunnyvale, CA Workplace: Hybrid ABOUT NIANTIC SPATIAL AI has learned from almost everything online, but it still struggles with the physical world, where 99.5% of economic activity happens. It doesn’t know where things are, how spaces fit together, or what changes over time. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. THE OPPORTUNITY As a staff member of the Map Team, you’ll own and drive significant parts of our Reconstruction and/or Localization technologies. You will be responsible for building the Map representing a living geospatial world model that can be simultaneously used to generate a high-fidelity 3D representations via Gaussian Splatting and Meshing, as well as the centimeter-level accuracy Visual Positioning System (VPS) that allows people and robots to explore the real world. This is an individual contributor role with a strong component of technical leadership where you will mentor other engineers and influence the technical roadmap. WHAT YOU WILL DO - Technical Leadership: Lead the design and implementation of some of our core technologies, namely, Structure from Motion (SfM), Feed Forward and Foundational models, and high-fidelity 3D Reconstruction (e.g. meshing, gaussian splats). - Applied Research: Up to speed state-of-the-art in relevant areas to be able to invent novel solutions in VPS and/or 3D Reconstruction alongside the team. - System Architecture: Design, develop, and maintain scalable production-grade Computer Vision systems that power Niantic Spatial’s VPS, 3D Reconstruction and 3D Mapping pipelines. - Algorithm optimization and production implementation: develop and optimize algorithms, train models, for high-accuracy and high-performance execution on CPU/GPU on the cloud or device as part of a reliable production system. - Quality & Benchmarking: Drive decision-making creating high quality data that allows the accurate spatial grounding of AI queries with structural, semantic and location specific knowledge. - Technical Strategy & Mentorship: Work with engineering leadership to define the technical roadmap and quarterly objectives for the Applied CV Team; provide high-level mentorship and code governance to elevate the team’s technical bar. - Cross-Functional Delivery: Collaborate with Product, Research, and Operations teams to ensure that state-of-the-art Computer Vision solutions translate into delightful user experiences. WHAT WE ARE LOOKING FOR - Years of Experience: 7+ years of professional experience in Computer Vision, Machine Learning, or a related field (or 4+ years with a PhD in a relevant domain). - Education: Bachelor’s degree in Computer Science, Engineering, or a related technical field; Master's or PhD preferred. - Core Technical Skills: Strong proficiency in Python and/or C/C++. - Specialized Expertise: Proven experience in both classical and learned-based 3D Computer Vision and ML. - Full SW lifecycle experience: Demonstrated experience in taking research into production at scale. - Technical Leadership Experience: Previous experience tech leading computer vision projects. COMPENSATION & BENEFITS The expected salary range for this role is $256,500 – $315,000 per year. Compensation also includes an annual bonus, equity, and a comprehensive benefits package including medical, dental, and vision coverage, 401(k), and more. LOCATION & WORK MODEL This role is based in our San Francisco or Sunnyvale office, with three days per week in office. INCLUSIVE APPLICATION We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed — you may be exactly who we're looking for. EQUAL OPPORTUNITY Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. CANDIDATE PRIVACY I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.

Allen Control Systems is looking for a Director of Computer Vision and Machine Learning to lead perception and tracking strategy, manage teams, and deliver production computer vision and machine learning systems.