Вакансии

Задачи: — Разработка и улучшение пайплайна LLM post-training: SFT, preference optimization, Offline / Online RL; — Улучшение instruction following и построение системы benchmarking / evaluation; — Обучение LoRA / QLoRA-адаптеров под различные домены и задачи; — Работа с reward models / verifiers и reward functions для RL.

Требования: — 5+ лет в product management, желательно в fintech, data-продуктах. — Опыт с GenAI / LLM / AI-ассистентами или агентами. — Понимание ограничений и возможностей моделей и агентов. — Практический опыт evaluation: benchmark-датасеты, критерии качества, разметка, анализ ошибок, улучшение продукта через evals. — Понимание финансового домена: акции, облигации, ОФЗ, ВДО, фонды, деривативы, котировки, ликвидность, доходность, риск, сделки, брокерская инфраструктура. — Умение работать руками: разобрать датасет, посмотреть пользовательские запросы, посчитать метрики, собрать прототип, проверить гипотезу. — Высокая агентность, умение работать в неопределённости и держать фокус не на демке, а на доказательстве ценности Задачи: — Владеть end-to-end сценариями протокола по трём линиям: данные, подбор финансового продукта, исполнение сделки. — Формировать продуктовую логику протокола: какие запросы делает агент, какие ответы получает, какие ограничения применяются, как фиксируется объяснение и аудит. — Пилотировать протокол с b2c продуктами Офиса ИИ: проверять, где ассистенту не хватает данных, контекста, структуры или правил. — Собирать benchmark-датасеты и evals: реальные пользовательские запросы, критерии хорошего ответа, разметка, сравнение с веб-поиском, ISS и агрегаторами. — Синтезировать требования от бизнеса, CDO, архитектуры, разработки, комплаенса, брокеров и AI-команды в понятный roadmap и бэклог. — Довести MVP до запуска и первых пилотов с участниками рынка.

Location: Jakarta, Jakarta, Indonesia Dexis is a dynamic professional services firm dedicated to partnering with government and community leaders both in the U.S. and internationally to achieve critical social outcomes in a rapidly changing world. At Dexis, you will experience a corporate culture of inclusiveness, respect, fairness, and trust. You will be given the means and mentorship needed to succeed, and your creativity will be rewarded. LEAP Program Description Global Solutions Ventures (GSV) – a joint-venture partnership between ZemiTek, LLC and Dexis Consulting Group – is implementing the Long-term Exceptional Technical Assistance Project (LEAP Global), a mechanism originally used by USAID to battle against infectious diseases such as malaria, HIV/AIDS, tuberculosis, neglected tropical diseases, and pandemic influenza. As of July 1, 2025, LEAP Global transitioned to the U.S. Department of State (DOS). This initiative aims to address the complex human resource challenges faced by national infectious disease programs in the USA-supported countries. The intervention of this project is to hire and embed technical expert advisors and subject matter experts within government entities. By directly embedding the technical expertise within the national programs, LEAP provides long-term, sustainable lifesaving support to empower host governments to lead and manage key aspects of their infectious disease portfolios and improve coordination between the U.S. Government and the host country. About the Position The MNCH Advisor will advance the United States Department of State (U.S. DoS)' lifesaving humanitarian assistance (LHA) Maternal and Child Health (MCH) programs in Indonesia, in full alignment with the U.S. Presidential Executive Order directives. The Advisor will provide technical support to Indonesia's Ministry of Health (MoH) to strengthen service delivery and institutional capacity for improving maternal, neonatal, and child health outcomes, including polio eradication and measles elimination. The Advisor will work closely with the U.S. Embassy Jakarta ECON Health Unit, MoH counterparts, and provincial and district health offices to ensure a coordinated, sustainable implementation and development and execution of a responsible, phased transition plan for the U.S. DoS-supported MCH activities to relevant Indonesian government entities. The Advisor will report to and receive technical guidance from the U.S. Embassy Jakarta ECON Health Unit points of contact and the MoH Directorate of Family Health and Directorate of Immunization. Location: Jakarta, Indonesia, with regular travel to project areas in Indonesia. Responsibilities Program Management and Technical Leadership (80%) Lead the strategic transition of lifesaving MCH program activities to relevant directorates under MoH, ensuring sustainable institutional capacity and program ownership through the development and implementation of a responsible transition plan, including phased transfer of technical, managerial, and implementation responsibilities to Ministry of Health counterparts, and embedding of quality improvement approaches within national systems. Oversee documentation and knowledge transfer of relevant MCH activities, ensuring continuity of services and responsible transition to GoI counterparts in accordance with the agreed transition roadmap and sustainability plan. Serve as the primary liaison between DoS, implementing partners, MoH, and local governemnt ensuring effective communication and coordination across MCH, polio, and measles initiatives, including coordination on transition planning, milestone tracking, and handover of responsibilities. In collaboration with the U.S. Embassy Jakarta ECON Health Unit and the MoH, provide technical guidance on life-saving activities to implementers, ensuring alignment with U.S. Government and MoH priorities and supporting gradual transfer of technical leadership to MoH counterparts. Review and provide technical input on work plans, monitoring and evaluation (M&E) frameworks, and key project deliverables. With guidance from the U.S. Embassy Jakarta ECON Health Unit and MoH, analyze and interpret public health program data to generate key results and trends, supporting the tracking of MCH, polio, and measles indicators as well as transition readiness indicators and quality improvement performance measures. Participate in and support regular meetings with implementers, contributing to briefings, data calls, and ad hoc analyses as required, including review of transition progress and sustainability planning. Identify and address implementation challenges, ensuring effective use of U.S. Government resources and achievement of program objectives for MCH, polio, and measles. Stakeholder Coordination and Representation (20%) Serve as a technical subject matter expert, engaging with MoH counterparts and other stakeholders to advance the America First Global Health Strategy, with focus on MNCH, polio, and measles and supporting the institutionalization of sustainable systems through a structured transition approach. Support joint work planning and oversight of MNCH, polio, and measles interventions with implementers and MoH directorates, and provincial and districts health offices, while ensuring alignment and integration of a comprehensive, phased transition plan, including monitoring of handover milestones and sustainability benchmarks. Attend meetings with the Government of Indonesia (GoI) and development partners, providing timely reports and key takeaways on MCH, polio, and measles topics, including updates on transition progress, capacity transfer, and institutionalization of quality improvement approaches. Foster strong working relationships with the GOI counterparts and implementers to ensure alignment and collaboration across all relevant activities, including shared ownership of the transition process and long-term sustainability of program outcomes. REPORTING : Submit a detailed monthly report to the U.S. Embassy Jakarta ECON Health Unit by the 5th day of the following month. Submit weekly progress updates with key successes to the U.S. Embassy Jakarta ECON Health Unit and participate in weekly calls. Qualifications Medical degree (M.D. or equivalent bachelor's/first professional degree in Medicine) required, plus an advanced (graduate-level) degree in Public Health required. Additional certifications in knowledge management and monitoring and evaluation are an asset. Minimum of seven (7) years of progressively responsible experience in public health programming, preferably with the U.S. government or other bilateral/multilateral organizations. Demonstrated expertise in the design, implementation, monitoring, and evaluation of MNCH, polio, and measles programs. Strong knowledge of Indonesia’s health sector, national health information systems, and M&E frameworks. Proven ability to analyze epidemiological data and translate findings into actionable program improvements. Excellent written and verbal communication skills, with the ability to present complex information clearly to diverse audiences, including senior leadership. Strong project management, analytical, and technical skills, with experience reviewing and providing feedback on technical documents and reports. Ability to work independently, manage multiple priorities, and adapt to changing circumstances. Exceptional interpersonal skills, including diplomacy, tact, and the ability to build consensus among multiple stakeholders. Experience mentoring and building capacity of local organizations, including government and civil society partners. Proficiency in Microsoft Office and web-based data management tools; ability to quickly learn new systems. Professional proficiency in spoken and written Bahasa Indonesia is required. Fluency in written and spoken English is required. Benefits Dexis offers benefits to support employees’ health, financial security, and well-being. The benefits outlined below are for full-time, US-based positions only. These benefits include: Medical and prescription drug coverage: A choice of three UnitedHealthcare medical plans, with coverage options for employees and eligible dependents. Dental insurance: Dental coverage for employees and eligible dependents, including preventive, basic, major, and orthodontic services, subject to plan limits. Company-paid vision insurance: Vision coverage for employees and eligible dependents, with premiums paid in full by Dexis. Employer-funded health reimbursement arrangement (HRA): Employees who enroll in the Silver HRA medical plan receive an employer-funded HRA to help pay eligible in-network deductible expenses. Company-paid life and disability insurance: Basic life and accidental death and dismemberment (AD&D) insurance, plus short-term and long-term disability coverage. Optional supplemental insurance: Voluntary supplemental life and AD&D insurance options, including life insurance options for eligible dependents. Employee Assistance Program (EAP): Company-paid access to confidential counseling and legal and financial support resources for employees and their families. Health and wellness resources: Virtual care, behavioral health resources, and wellness programs available through the medical plan. Benefits assistance: Personalized support with benefit enrollment, coverage questions, claims, and finding providers through the Employee Care Center. Participation, coverage, and employee contributions are subject to applicable benefit plan terms and eligibility requirements. Dexis is on a mission to help solve today’s most pressing global political, social, and economic challenges and create a world where all people are safe and prosperous. As a Dexis employee, you will be challenged, empowered, and mentored. Our motto is “find a way or make a way” — that’s how Dexis goes “all in.” How will you? If you are passionate about this opportunity, apply now! Only those applicants who meet the above criteria will be contacted for interview. Dexis is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, sex, national origin, religion, pregnancy, disability, age, genetic information, military service, veteran status, ethnicity, citizenship, sexual orientation, gender identity, marital status, childbirth and related medical conditions, including lactation, or any other protected class under applicable law.

Location: Singapore Riot Games was founded on the principle that putting players first leads to the exceptional. In 2009, we released League of Legends - today, millions log in every month. As we expand our global content, the Singapore Studio plays a key role in developing League ’s cosmetics in partnership with Riot LA, maintaining craft quality and consistency across regions. We’re looking for a Manager, 3D Character Art, Skins – League of Legends who is a humble yet confident craft leader, passionate about stylized art, champion fantasy, and visual storytelling through form, color, and material detail. You’ll lead and mentor 3D artists, guide craft quality for cosmetic skins, and collaborate with Riot LA partners to ensure every asset meets League’s world class standard for clarity, style, and player delight. Responsibilities: Lead and mentor a team of 3D artists, providing clear feedback, guidance, and support for both craft development and career growth. Uphold the quality bar for League of Legends cosmetics skins, ensuring consistency, readability, and alignment with League’s visual style. Provide actionable, timely feedback to Singapore artists and partner studios, ensuring all 3D assets meet Riot’s standards for craftsmanship, performance, and integration. Collaborate closely with the Associate Art Director and Riot LA’s Art and Product leadership to interpret and execute League’s creative and artistic vision for cosmetics skins. Maintain close alignment with Concept, Technical Art, Rigging, Animation, and VFX teams to ensure cosmetics skins integrate smoothly into production pipelines. Review and evaluate cosmetics skins work from partner studios and internal artists, identifying opportunities to improve quality, efficiency, or player readability. Partner with production to plan and manage 3D schedules, identify risks early, and ensure sustainable, high-quality delivery. Contribute to documentation, style guides, and visual benchmarks to clarify quality expectations for internal and partner teams. Occasionally contribute hands-on when needed - particularly for high-impact assets - to guide quality and model craft excellence. Foster a culture of collaboration, learning, and feedback that empowers artists to push their craft while maintaining sustainable, player-focused production. Required Qualifications: 7+ years of professional experience in 3D art for games, including stylized character or cosmetics work. 2+ years in a lead or supervisory role providing feedback, mentorship, and guidance to individual contributors. Deep understanding of modeling, sculpting, and texturing fundamentals, including stylized hand painted techniques and PBR workflows. Strong understanding of art fundamentals including anatomy, form, proportion, and design. Strong experience working with modeling, sculpting, and texturing tools such as Maya, ZBrush, and Substance Painter. Experience managing or reviewing outsourced 3D art production, including providing clear, actionable feedback to internal artists and external partner studios to ensure assets meet quality and style standards. Excellent communication and collaboration skills, with the ability to work effectively across concept, animation, tech art, and production teams. Fluent in English, able to articulate feedback and creative intent clearly across teams and cultures. Passion for League of Legends and its champions, with player empathy to evaluate cosmetics for clarity, appeal, and impact. Desired Qualifications: AAA experience creating stylized cosmetics or character skins for live games. Familiarity with League of Legends’ art style, tools, and pipelines. Experience collaborating with distributed or co-development teams across regions. Multilingual ability (Mandarin or other regional languages) to communicate effectively with partner studios. Our Perks: Full relocation support Comprehensive health insurance for you, your spouse, and children Open paid time off Retirement benefits with company matching Life insurance, parental leave, plus short-term and long-term disability Play Fund so you can deepen your knowledge of our players and community through games We’ll double down on your donations of time and money to non-profits Success in this role comes from combining deep 3D craft expertise with clear communication and leadership - guiding Singapore and partner teams to deliver League of Legends cosmetics skins that capture clarity, craftsmanship, and champion spirit, delighting players around the world.

Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. Sierra’s Applied Research team advances the quality, speed, and cost efficiency of the models powering our agents across a wide range of tasks. Our work spans post-training open-weight models for specialized capabilities and pioneering new approaches to voice AI, turning research breakthroughs into reliable production systems. WHAT YOU’LL DO - Tackle unsolved applied AI and ML problems. Pushing the boundaries of post-training, voice AI, and long-horizon task execution, building agents that can reason, adapt, and reliably carry out complex tasks for customers. - Determine when to build specialized models and when to use externally provided frontier intelligence, balancing quality, speed, and cost to deliver customer value. - Turn ambiguous product and customer problems into well-framed machine learning problems. - Develop, fine-tune, evaluate, and deploy models that improve Sierra’s customer-facing AI agents. - Advance our post-training work, from supervised fine-tuning toward reinforcement learning and long-horizon optimization. - Build rigorous evaluations that connect model performance to real-world agent quality. - Work with large-scale, proprietary datasets spanning text and audio interactions. - Collaborate across Sierra while taking ideas from experimentation through production deployment and customer impact. WHAT YOU’LL BRING - Strong experience building and deploying production machine learning and AI systems. We welcome backgrounds across applied ML, including search, ranking, recommendations, advertising, language, and speech. - Excellent judgment in framing product problems as ML tasks and selecting the simplest & most effective approach. - Experience working deeply with data, experimentation, evaluation, and model iteration. - A practical, evidence-driven approach to ML, with strong judgement around when a problem calls for modeling and when a simpler solution will deliver the best outcome. - The ability to operate with high agency and work across the stack when needed to deliver an outcome. - Alignment with Sierra’s values, including Craftsmanship, Customer Obsession, and Competitive Intensity. - A degree in computer science, machine learning, or a related field, or equivalent professional experience. EVEN BETTER… - Experience with supervised fine-tuning or reinforcement learning. - Experience in search, ranking, recommendations, or advertising systems. - Experience training and deploying language, speech, or multimodal models. - Experience designing model evaluations tied to real-world product outcomes. - Experience working with large-scale consumer datasets or high-volume ML products. - Contributions to applied ML research or benchmarks. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: San Francisco; Toronto; New York; Montreal; Seattle 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 We're looking for distributed systems engineers and product-minded generalists to build the distributed runtime that powers large-scale LLM inference on Baseten. Our inference platform empowers customers to deploy and operate cutting-edge models with industry-leading performance, scalability, and reliability. It also powers Model APIs, our hosted endpoints for the latest open-source models. You'll work across the stack, from the developer experience customers use to deploy models, through the libraries behind features like tool calling and reasoning, down to the systems that orchestrate deployments on Kubernetes and route traffic efficiently. Your job is to make sure every model on our platform is fast, reliable, and cost-efficient. You'll join a small, high-impact team at the intersection of distributed systems, model performance, infrastructure, and product, helping define how developers use AI models at scale. This role is ideal for engineers who enjoy owning systems in production, solving hard integration problems, and making complex infrastructure simple and reliable for users.   EXAMPLE INITIATIVES You'll get to work on these types of projects on our Inference Platform: - The Baseten Inference Stack at NVIDIA Dynamo Day https://www.baseten.co/blog/nvidia-dynamo-day-baseten-inference-stack/ - 2x faster inference with KV cache-aware routing https://www.baseten.co/blog/how-baseten-achieved-2x-faster-inference-with-nvidia-dynamo/ - How Baseten multi-cloud capacity management (MCM) unifies deployments https://www.baseten.co/blog/how-baseten-multi-cloud-capacity-management-mcm-powers-cloud-self-hosted-and-hybr/#comparing-deployment-options-cloud-vs-self-hosted-vs-hybrid RESPONSIBILITIES - Build the infrastructure and orchestration systems that deploy and run large-scale distributed LLM inference, including routing, autoscaling, scheduling, and runtime management. - Design, build, and operate Model APIs, with a focus on advanced inference capabilities: structured outputs (JSON mode, grammar-constrained generation), tool/function calling, and multimodal serving. - Implement platform fundamentals such as API versioning, validation, usage metering, quotas, and authentication. - Instrument deep observability (metrics, traces, logs) and build repeatable benchmarks for speed, reliability, and quality. Help set best practices for testing, release automation, and operational excellence. - Debug and harden complex production systems spanning Kubernetes, distributed runtimes, networking, and GPU workloads to improve reliability and scalability. - Partner with Inference Performance engineers and other teams to make new optimizations broadly available to customers and easy to configure. - Own projects end to end, from architecture through deployment, monitoring, and iteration on customer feedback. Along the way, make thoughtful tradeoffs between performance, reliability, operational simplicity, and developer experience.   REQUIREMENTS - Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or a related field, or equivalent practical experience. - 3+ years building and operating distributed systems, backend infrastructure, or large-scale APIs where reliability, latency, and scale are first-class concerns. - A proven track record of owning low-latency, reliable backend services, including rate limiting, auth, quotas, metering, and migrations. - Infrastructure instincts with a feel for performance: profiling, tracing, capacity planning, and SLO management. - Comfort debugging performance and reliability issues across multiple layers of the stack, from application behavior down to runtime and infrastructure internals. - A strong sense of developer experience. You think about how systems are used, not just how they work. - Eagerness to learn new languages, frameworks, and systems, and a real interest in inference engineering. Prior ML or LLM experience isn't required, though experience with model serving or inference systems is a plus. - Excellent written communication and collaboration skills, including writing clear design docs and working across functions.   NICE TO HAVE - Experience with or contributions to LLM inference engines and frameworks such as vLLM, SGLang, TensorRT-LLM, TGI, or Dynamo. - Deep Kubernetes experience, including operators and custom resources, plus familiarity with service meshes or API gateways. - Experience with distributed scheduling, autoscaling, or service orchestration. - Experience operating GPU workloads in production. - A background in developer-facing infrastructure or APIs, or contributions to open-source infrastructure or ML systems. - Familiarity with observability tooling, CI/CD systems, or release automation. 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; Toronto; New York; Montreal; Seattle 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 We're looking for inference performance engineers who want to make the world's most demanding AI workloads run faster and more efficiently. You'll work across the stack, from the inference engine and runtime through scheduling, serving, and routing. Along the way you'll apply techniques like prefill/decode disaggregation, speculative decoding, and KV-cache management. You'll reason from first principles about where time and memory go, find what's holding performance back, and close the gap. Your work directly impacts how fast our customers' models run and how efficiently we serve them. This role is ideal for someone who thrives in a fast-paced startup environment and is eager to make significant contributions to the exciting field of LLM inference.   EXAMPLE INITIATIVES You'll get to work on these types of projects as an Inference Performance engineer: - Agentic Kernels in Production https://www.baseten.co/blog/agentic-kernels-in-production/ - How we built the new fastest API for GLM-5.2 https://www.baseten.co/blog/how-we-built-the-new-fastest-api-for-glm-52/ - Live draft model training for speculative decoding https://www.baseten.co/blog/live-draft-model-training-for-speculative-decoding/#eliminating-traditional-bottlenecks - Making Kimi K3 Tokenization 18x faster https://www.baseten.co/blog/making-kimi-k3-tokenization-18x-faster-for-million-token-agentic-workloads/ - The Baseten Inference Stack https://www.baseten.co/resources/guide/the-baseten-inference-stack/ - Driving model performance optimization https://www.baseten.co/blog/driving-model-performance-optimization-2024-highlights/ RESPONSIBILITIES - Implement and productionize cutting-edge inference techniques, working deep in runtime internals. That includes quantization, speculative decoding, KV-cache reuse, chunked prefill, LoRA, guided generation for structured outputs, and custom scheduling and routing algorithms. - Profile and optimize inference end to end, from kernel launch overhead and memory layout up to request scheduling, prefill/decode disaggregation, and cache-aware routing. Run cross-layer investigations, such as tracing a tail-latency regression from request timing through routing and batching down to a kernel. - Turn performance into cost savings. Improve tokens per GPU-hour, raise utilization, and give customers and internal teams clear latency/throughput/cost tradeoffs. - Bring up and tune new model architectures on new hardware quickly, often in the same week they're released. - Build benchmarking frameworks that measure real-world performance across model architectures, batch sizes, sequence lengths, and hardware configurations. - Contribute upstream to open-source inference engines (vLLM, SGLang, TensorRT-LLM), and partner closely with model, infrastructure, and customer-facing teams to ship wins.   REQUIREMENTS - Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field. - Experience with one or more general-purpose programming languages, such as Python or C++. - Familiarity with LLM optimization techniques (e.g., quantization, speculative decoding, continuous batching). - Strong familiarity with ML libraries, especially PyTorch, TensorRT, or TensorRT-LLM. - Demonstrated interest and experience in LLMs. - Deep understanding of GPU architecture.   NICE TO HAVE - Proficiency in enhancing the performance of software systems, particularly in the context of large language models (LLMs) - Contributed to vLLM, SGLang, TensorRT-LLM, or another inference engine. - Worked on large-scale distributed serving: autoscaling, load balancing, multi-region or multi-cloud capacity. - Written or optimized GPU kernels (CUDA, Triton, CUTLASS, or similar) - Worked on quantization (FP8/FP4, AWQ, GPTQ) or speculative decoding in production. - Deep understanding of software engineering principles and a proven track record of developing and deploying AI/ML inference solutions. 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: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Business Analyst, PlayStation Store San Mateo, Los Angeles, or San Diego, CA  (hybrid) About the Role Sony Interactive Entertainment (PlayStation) is seeking a Senior Business Analyst to help shape the future of our Direct-to-Consumer businesses - PlayStation Store and PlayStation Direct. You will lead the business analysis workstream for complex commercial initiatives, working with business leaders and subject-matter experts to understand business objectives, processes and customer needs. You will translate these needs into clear, testable business requirements that Product, Engineering, Analytics and Data Science teams use to design and build new ecommerce products and supporting tools. Throughout development, you will maintain alignment between business stakeholders and delivery teams, resolving ambiguity and ensuring the resulting solutions fulfil the underlying business need. If you have strong experience turning complex business problems and processes into clear business requirements and working across teams to deliver effective solutions, we’d love to hear from you. What You’ll Do Translate complex business needs into clear, structured and testable business requirements that Product and Engineering teams can execute against. Remain engaged throughout design and development, resolving ambiguity and validating that the solution meets the original business need. Work with business leaders and subject-matter experts to structure ambiguous problems, reconcile stakeholder needs and translate agreed objectives into clear requirements and measurable outcomes. Collaborate across Business, Product, Engineering, Analytics and Data Science teams to resolve issues, manage dependencies and ensure business needs are understood and fulfilled. Apply your understanding of customer journeys, commercial drivers and operational processes to assess how proposed products, features and business changes will affect customers and business operations. Map current and future-state business processes, identify opportunities for improvement or automation and support teams in implementing and embedding the resulting changes. Partner with Product, Analytics and Data Science teams to test commercial hypotheses, challenge assumptions and build the case for change. Influence senior stakeholders within initiatives through structured problem framing, commercial reasoning and clear, evidence-based recommendations. Share your experience and effective Business Analysis practices with other analysts, supporting the quality and consistency of the team’s work. What We’re Looking For Extensive experience in Business Analysis within digital commerce, subscriptions, retail or related fields. Demonstrated experience planning and leading business analysis for complex initiatives, managing multiple priorities and delivering measurable commercial or operational outcomes. Demonstrated experience partnering with Product, Engineering, Analytics and Data Science teams to design and deliver commerce products and supporting tools. Strong understanding of eCommerce customer journeys, commercial drivers and operational processes, with the ability to identify relevant dependencies and assess the likely impact of proposed solutions. Proven ability to engage business leaders and subject-matter experts, reconcile differing stakeholder needs and establish clear requirements where information is incomplete or priorities change. Demonstrated experience mapping and improving complex business processes, building the case for change and working with teams to implement and embed new ways of working. Strong communication and influencing skills, with the ability to explain complex issues clearly and support recommendations with commercial reasoning and evidence. Comfortable working across regions, time zones and cultures, with flexibility for international travel and varied working hours. Resilient and adaptable in ambiguous, fast-moving environments. Nice to Have Knowledge of payments, finance and supply chains. Experience integrating AI/ML into business solutions. Familiarity with digital content management and publishing. Awareness of governance and ethics in AI and data practices. Experience working in multicultural, international environments Bachelors Degree or equivalent preferred At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $147,000 — $220,600 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: New York, NY, United States About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. About the Team Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin. We're hiring a Senior Director, Content & Social to build and run the organization responsible for winning mindshare. This leader owns the full portfolio: original content production, creator partnerships, community/discourse channels (X, Discord, Reddit), and the paid amplification layer that supports all of it. What You'll Own Strategy & Measurement Own the scoreboard: connect content/social performance (reach, non-follower reach, engagement) to unaided awareness and be fluent enough in both content and commercial metrics to defend that investment Build and maintain competitive benchmarking (share of voice, response time, engagement on comparable content) against the fastest-moving players in our space Manage a mix of FTEs and agency partners - know when to build in-house vs. buy. Build the business case for incremental investment (staff, production, paid media, talent) using content and commercial metrics side by side. You should be as comfortable defending a budget ask to a CFO-minded stakeholder as you are giving creative notes Manage an annual portfolio across production, talent, paid boosting, and staffing Content Engine Scale original content output with a defined static/video mix) without sacrificing quality or brand distinctiveness Build repeatable, sustained formats (not one-offs) grounded in customer psychology and use our core differentiators as recurring proof points where applicable Creator & Talent Run a volume-based creator program alongside our signature talent partnerships, sourcing and vetting creators for fit, risk, and commercial upside Own the function end to end: briefs, approvals, agency management, and roster development Real-Time & Competitive Response Build and run the real-time response playbook across platforms Build a programmatic publishing + paid amplification engine triggered by performance thresholds What You'll Bring 10+ years in social/content leadership, ideally with direct experience in sports, betting, gaming, or a comparably fast-moving, discourse-heavy category (streaming news, culture media, or a "newsroom-speed" digital brand). A track record of building or scaling a content/social org from a small existing team into a larger, structured operation Fluency in both content metrics (reach, engagement, non-follower reach, share of voice) and commercial outcomes (handle, awareness, LTV) and the ability to translate between the two for executive audiences Fluency in X, Discord, and reddit as discourse platforms Experience managing creator programs at volume (sourcing, vetting, negotiating, briefing) rather than one-off influencer campaigns Comfort operating in regulated/compliance-heavy content environments (gaming, finance, alcohol, or similar) is a strong plus A point of view on sports + cultural discourse sufficient to hire and direct a team that can operate credibly in both dimensions Direct people management experience - this role builds and leads a team of 10+ across FTEs and agency/contractor partners. Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $210,000 — $260,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: New York, NY, United States About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. About the Team Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin. We're hiring a Director, Social Growth to own the flywheel connecting creator and organic content to paid amplification for Fanatics Sports & Casino. This role manages the creator program, the clipping/production pipeline that turns long-form and creator content into distributable short-form assets, and the boosting layer that scales what's working, backed by a measurement practice tight enough to prove the flywheel is actually working. What You'll Own Social Growth Flywheel (Paid + Organic) Own the end-to-end flywheel: organic and creator content performance feeds boosting decisions, and boosting data feeds back into what gets produced next Run boosting across owned, creator, and aggregate accounts, prioritizing spend against content already showing organic traction Set and manage the paid boosting budget, forecasting spend against content calendar and moment-driven opportunities Clipping & UGC Production Own production of clipped and UGC-style creative: sourcing, cutting, and packaging long-form and creator content into distributable short-form assets Set the clipping pipeline and production standards (turnaround time, format specs) to keep pace with real-time content opportunities Own UGC creative production end to end: briefs, sourcing, and quality standards for user-generated and creator-style content Managing creator agency relationships Own the creator roster architecture across different tiers, mapped to Fanatics Sports & Casino and Fanatics App brand mandates Set the threshold and criteria for which creator and clipped content qualifies for paid amplification support Measurement & Analytics Own the measurement practice for the full flywheel: reach, non-follower reach, engagement, share of voice, and CPM efficiency against benchmark, reported with rigor, not just directionally Build and maintain a clean, defensible read connecting flywheel activity (clipping, boosting, creator content) to unaided awareness and brand favorability lift Report media efficiency in CPM terms against category benchmarks and bring the same rigor to clipping and UGC output (volume, velocity, and performance by format) Team Leadership & Cross-Functional Coordination Manage the Senior Manager, Content Amplification as a direct report, setting quarterly flywheel priorities Partner with Programming on which moments warrant proactive clipping, boosting, or creator activation Coordinate with Platform Strategy and Content Lead to keep flywheel output aligned with platform-specific formats and brand voice What You'll Bring 8-10 years across creator/influencer marketing, paid social, or performance-driven content growth, ideally in sports, betting, gaming, or a comparably fast-moving category Direct experience running a paid + organic growth flywheel: knowing when to boost, what to clip, and how to read the data connecting the two Fluency in measurement and analytics: comfortable owning a scoreboard (reach, engagement, CPM, share of voice) and defending it to both creative and commercial stakeholders Experience managing UGC or clipped content production, including sourcing, format standards, and turnaround expectations Direct experience negotiating creator/talent contracts, usage rights, and exclusivity terms Direct people management experience Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $166,000 — $230,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: México Marketing team: We're looking for someone to own the bank's organic social media end to end: from the content plan to publishing and figuring out why a post took off or didn't. Everything is built in-house, with no agencies involved. Challenges that await you: Run the content plan for Instagram and Facebook, with a distinct format and tone for each platform, and publish posts yourself Build content around Mexican cultural codes, current internet culture and art Set up in-house production: scripts, storyboards, references, and working with designers and motion designers Regularly review hits and flops, spot patterns and scale what works Monitor SOV, sentiment and competitors through social listening together with the marketing analytics team, and adjust tactics and strategy based on shared findings Stay in sync with the product team: prioritize announcements, understand features and explain them simply and clearly to the audience What makes you a great fit: 3+ years in social media, ideally in fintech, banking or another high-trust industry Experience creating aesthetic or art-driven content for social media Comfort working with data: reach, engagement rate, performance by format and competitor benchmarking Basic knowledge of contemporary art and visual culture, and a strong eye for Mexican creative work Ability to quickly understand a financial product and explain it in plain language Native or C1 Spanish, B2+ English Experience using AI tools in production and strategy is a strong plus Our ways of working: Innovative Spirit : A commitment to creativity and groundbreaking solutions. Honest Feedback : valuing open, transparent communication. Supportive Team : a strong, collaborative community. Celebrating Achievements : recognizing our wins together. High-Tech Environment: a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances.

Location: San Francisco, CA | Seattle, WA 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 is seeking a member to join Financial Reporting team within Accounting. In this role, you will own some of the most important pieces of our external reporting: the consolidated statement of cash flows, subsidiary and other compliance-related reporting, and the peer benchmarking that keeps our disclosures clear and comparable. This is a hands-on individual contributor role for someone who wants to shape how a financial reporting function works, not just run it. Our team builds with Claude every day, and you will help design the workflows and automation that make our reporting faster, more accurate, and more scalable. You will partner closely with Technical Accounting, Controllership, Tax, Legal, FP&A, Corporate Development, and our external auditors. If you enjoy owning complex reporting end to end, have strong judgment on disclosure, and are excited to reinvent how financial reporting gets done with AI, we would love to hear from you. Key responsibilities Own the consolidated statement of cash flows end to end, including preparation, supporting schedules, classification analysis, non-cash disclosures, and review with our external auditors Lead subsidiary and other compliance-related reporting, such as entity-level and special-purpose financial statements, lender and covenant reporting, and other regulatory or contractual reporting requirements Lead the adoption of new accounting standards: impact assessment, data and system changes, disclosure drafting, controls, and review with our external auditors Lead stock-based compensation reporting, including the expense and award-activity roll-forwards Contribute to the preparation and review of periodic SEC filings (Forms 10-Q and 10-K) and related disclosures Contribute to peer disclosure benchmarking, including frequent and proactive review of peer disclosures and assessment of Anthropic's disclosures in comparison to peers Partner with valuation specialists, Technical Accounting, Tax, and Corporate Development on purchase accounting and post-close reporting for acquired entities Identify opportunities to leverage Claude and automation tools to improve reporting processes, with a hands-on willingness to test and adopt new technologies as they emerge Build and maintain Claude-powered reporting workflows (e.g., roll-forwards, tie-outs, disclosure drafting, benchmarking) and document them so the broader team can use and extend them Design and maintain the process documentation and controls that support your areas, and serve as a primary point of contact for auditors on them Minimum qualifications Hands-on ownership of a statement of cash flows, including preparation, classification under ASC 230, and support for audit review Experience with subsidiary, statutory, or other compliance-related reporting (e.g., entity-level financial statements, lender or covenant reporting, regulatory filings) Experience using Claude or similar AI tools to build new financial reporting workflows or automation Strong working knowledge of US GAAP and SEC reporting requirements, including Regulation S-X and S-K Clear, concise written and verbal communication, including the ability to explain complex accounting topics to non-accounting partners Sound judgment and comfort owning ambiguous work, setting priorities, and meeting filing deadlines with minimal oversight Passion for Anthropic's mission to build safe, transformative AI systems Preferred qualifications 12+ years of experience in financial reporting, SEC reporting, or public accounting, including time at a public company or one preparing to go public Have built or run a peer disclosure benchmarking program, including use of EDGAR full-text search or XBRL data Have built reusable Claude or similar AI skills, agents, or processes Experience with international statutory reporting or consolidation of special-purpose entities CPA or equivalent certification 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: $230,000 — $300,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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: Remote - US Workplace: Remote ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE TEAM: We are a small but mighty team of three analytics engineers powering LangChain’s internal data infrastructure and analytics. We’re a full-stack team, meaning we work end-to-end across the data stack, from data ingestion to enabling self-serve agentic analytics. Learn more about what we’ve built so far here https://www.langchain.com/blog/agent-data-stack! ABOUT THE ROLE: We are expanding our data team and looking for a analytics engineer to join us. We build products used by elite companies and over a million developers, and data plays a critical role in sharping our strategies and decision making. In this role you will help lay the foundation for business teams to diagnose issues, uncover opportunities, and drive success using data. If you enjoy building data infrastructure and empowering teams with actionable insights, this role is for you. *Location: SF, NYC, Boston, or Remote U.S. WHAT YOU WILL DO: - Build scaleable dbt models and context that describe our business, powering a self-serve analytics experience - Work with and expand on our foundational data stack — Fivetran, dbt, BigQuery, Hex - Connect data from a variety of sources (Salesforce, Stripe, Metronome, Postgres, etc) into our BigQuery warehouse - Build dashboards that track progress against company goals and KPIs - Analyze product usage and operational data to surface insights around customer health, adoption, and revenue - Develop and leverage a deep understanding of our business metrics to drive alignment and decision-making WHAT YOU'LL BRING: - 3+ years experience in a related role (analytics engineer, data engineer, or similar) - Technical proficiency in BigQuery, dbt, Hex, Fivetran, Segment (or similar tools) - Detail oriented, enjoys data spelunking, and can synthesize findings effectively - Curiosity and a strong business sense to help anticipate needs and generate meaningful insights - Start up DNA. You thrive in fast-paced and unstructured environments and are energized by finding out what matters most - You are self-directed - you don’t wait for process or oversight to start making an impact Compensation & Benefits: We offer competitive compensation that includes base salary, meaningful equity, and benefits such as health and dental coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation will vary based on role, level, and location. For team members in the EU and UK, we provide locally competitive benefits aligned with regional norms and regulations. Annual salary range: $140,000-$180,000 COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: United States, Remote Senior Gameplay Engineer – Game Modes Are you on a mission to create games that bond players together into deeply invested communities? Would you like to work on something comedic with lighthearted and whimsical characters? And are you excited to build the systems and tools to help others create a rich, innovative game? As a Senior Gameplay Engineer – Game Modes at teamLFG, you’ll focus on the game mode systems of an unannounced project from pre-production through release and beyond, collaborating with designers and artists across a range of systems-focused engineering sub-disciplines. Most importantly, you will work with a fun, dedicated, and cross-discipline team devoted to turning a creative dream into a new franchise at PlayStation. We look for candidates who value joining a mission-focused team with a diverse set of backgrounds, experiences, interests, and viewpoints. RESPONSIBILITIES Build and maintain production-quality gameplay systems, workflows, and tools in C++ on Unreal 5 with minimal oversight Provide technical guidance to teammates on how to build code and content to work nicely with our simulation and network model Collaborate daily with the content creators and engine team to define and develop the blocks used by the content team to build the game REQUIRED SKILLS Ability to write, debug, and maintain code in C++ Ability to communicate with stakeholders of different technical and non-technical backgrounds to help them navigate technology and achieve their goals Experience building designer- and artist-facing systems, components and tools Experience with development using the Unreal Engine NICE-TO-HAVE SKILLS Experience with development on a variety of platforms (PC, console) At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. This is a flexible role that can be remote, with varying pay ranges based on geographic location. For example, if you are based out of Seattle, the estimated base pay range for this role is listed below. $160,000 — $240,000 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.

Location: San Francisco, CA Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE ROLE We're hiring an IT Systems Administrator to join the founding IT team in San Francisco. You'll run most of our SaaS stack day to day, from maintenance and configuration changes to access and troubleshooting. You'll also build the automation that keeps that stack running as we grow. This is a role for someone who does a bit of everything: helping an employee that’s locked out, shipping a terraform change, and building an automation that removes a manual task. The ideal candidate has startup experience, is comfortable with ambiguity, and heavily leans into automation. WHAT YOU'LL DO SaaS Administration - Own the day-to-day administration of our SaaS stack, including maintenance, configuration changes, and license management - Administer LangSmith, our product, and use APIs to automate admin work - Administer identity and permissions across core SaaS platforms such as Google Workspace, Slack, GitHub, Zoom, and Microsoft 365 Automation and Tooling - Develop scripts, integrations, and reusable workflows using low or no code tools - Connect systems through APIs and event-driven workflows to reduce manual work Identity Management - Administer Okta and user access - Manage Okta group rules that help define our RBAC policy - Establish repeatable standards and automation for employee lifecycle, group management, application provisioning, and access reviews Client Platform Administration - Administer our MDM platform, Iru, to enforce policy configurations, patching, zero-touch deployment, and custom desktop environment configurations - Automate the hardware lifecycle from procurement, assignment, return, and recycling Core IT Operations - Provide hands-on troubleshooting and support to employees in the office and remotely across hardware, software, networking, and SaaS tools - Build and maintain the harness for our AI ITSM agent, including the tools, playbooks, and knowledge it needs to resolve issues on its own - Write documentation and playbooks, and use recurring support issues to guide what to automate next WHAT YOU'LL BRING - 3+ years of experience in IT systems administration or IT engineering, ideally at a fast-growing startup - Experience administering a broad SaaS stack that includes Google Workspace, Slack, Notion, and AI tools like Claude and ChatGPT - Hands-on experience administering Okta, including SSO, SCIM provisioning, and Okta Workflows - Comfort with REST APIs, webhooks, and API authentication methods - Experience using coding agents (e.g. Claude Code) as part of your day-to-day workflow - Experience with a macOS MDM platform and endpoint security tooling - Solid networking fundamentals (TCP/IP, DNS, DHCP, VPNs, wireless) - Clear communication, with patience for non-technical users - Annual salary range: $120,000-$160,00 USD COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: United States Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. What You’ll Do Lead the development, implementation, and ongoing administration of global Total Rewards programs, including compensation, benefits, recognition, wellbeing, and incentive programs. Support the evolution of Total Rewards philosophy, frameworks, and programs in alignment with business and talent objectives. Establish appropriate governance, controls, processes, and documentation to support consistent and compliant program administration. Monitor global market and regulatory developments and assess implications for Total Rewards programs and practices. Support compensation philosophy, pay structures, job architecture, market benchmarking, and pay equity initiatives. Lead annual compensation processes, including merit, incentive, and other reward cycles, in partnership with HR and Finance. Analyze compensation data and trends to identify opportunities, risks, and areas requiring attention. Provide compensation guidance and support to HR leaders and managers. Manage global benefits programs and vendor relationships, ensuring programs are competitive, cost-effective, compliant, and aligned with employee needs. Oversee recognition and wellbeing programs and identify opportunities to strengthen employee engagement and program effectiveness. Evaluate program effectiveness, utilization, cost, and employee experience to inform ongoing program improvements. Use market data, workforce analytics, and financial insights to inform Total Rewards decisions and recommendations. Partner with Finance on budgeting, forecasting, cost analysis, and financial modeling related to Total Rewards programs. Develop and maintain appropriate reporting and metrics to monitor program performance and identify trends. Partner closely with the HR Technology team to streamline Total Rewards processes, improve data and reporting capabilities, and automate administrative activities. Identify and lead opportunities to leverage AI, automation, self-service, and emerging technologies to improve efficiency, decision-making, and employee experience. Collaborate with HR Technology to translate functional requirements into effective technology-enabled solutions while maintaining functional ownership of Total Rewards processes. Manage external consultants, brokers, vendors, and other strategic partners supporting Total Rewards programs. Build effective partnerships with HR, Finance, Legal, business leaders, and other stakeholders. Support M&A, organizational changes, and other strategic initiatives requiring Total Rewards expertise. What You Bring Bachelor’s degree in Human Resources, Business, Finance, or a related field preferred. Professional certification in Compensation, Benefits, Human Resources, or a related discipline is a plus. Extensive progressive experience in Total Rewards, Compensation, Benefits, or a related HR discipline Experience supporting global or multi-country HR programs preferred. Broad experience designing, implementing, and administering compensation and benefits programs. Experience supporting global or multi-country employee populations. Strong background in market benchmarking, pay structures, pay equity, and annual compensation processes. Demonstrated success managing vendors, consultants, and cross-functional projects. Experience using data and analytics to inform Total Rewards strategy and business decisions. Exposure to process improvement, automation, and technology-enabled HR solutions preferred. Strong knowledge of Total Rewards principles, practices, and market trends. Strong analytical and financial skills with the ability to translate complex data into clear business insights. Strong understanding of compensation and benefits compliance requirements across multiple countries. English level Advanced Legal & Hiring Information Compensation Transparency: The expected compensation range for this role is 130.000 - 140.000 USD annually, with eligibility for bonus, or other incentive compensation where applicable. Actual compensation will be determined based on experience, skills, qualifications, geographic location within the United States, and business needs. Location Eligibility: This role is open to candidates residing in the United States. Experience Requirements: We welcome applicants with relevant experience regardless of where it was obtained. Use of Artificial Intelligence in Hiring: We may use automated tools or artificial intelligence systems to support the screening, assessment, or selection of applicants as part of our hiring process. Benefits Summary: US-based employees are eligible to participate in Exadel’s benefits programs, which may include comprehensive health, dental, and vision coverage; life and disability insurance; retirement savings programs; paid time off; paid holidays; and other wellness or voluntary benefit programs, subject to plan terms and eligibility requirements. Equal Employment Opportunity: Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more. We do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, status as a protected veteran, or any other protected characteristic under applicable federal, state, and local laws. Accessibility and Accommodation: We are committed to providing accommodations throughout the recruitment process in accordance with the Americans with Disabilities Act (ADA) and other applicable federal, state, and local accessibility laws. Reasonable accommodations are available to enable individuals with disabilities to perform essential functions. If you require accommodation at any stage of the hiring process, please contact us. Data Privacy Notice: For applicants residing in California, please note that personal data collected during the application process is subject to the California Consumer Privacy Act (CCPA) and will be processed in accordance with our applicant privacy notice. Disclaimer: Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs. The offer is not binding until a signed contract is in place. Your Benefits at Exadel Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details. International projects In-office, hybrid, or remote flexibility Medical healthcare Recognition program Ongoing learning & reimbursement Well-being program Team events & local benefits Sports compensation Referral bonuses Top-tier equipment provision Exadel Culture We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Требования: — Гражданство и локация РФ — 5+ лет в product management, желательно в fintech, data-продуктах. — Опыт с GenAI/LLM/AI-ассистентами или агентами. — Понимание ограничений и возможностей моделей и агентов. — Практический опыт evaluation: benchmark-датасеты, критерии качества, разметка, анализ ошибок, улучшение продукта через evals. — Понимание финансового домена: акции, облигации, ОФЗ, ВДО, фонды, деривативы, котировки, ликвидность, доходность, риск, сделки, брокерская инфраструктура. — Умение работать руками: разобрать датасет, посмотреть пользовательские запросы, посчитать метрики, собрать прототип, проверить гипотезу. — Высокая агентность, умение работать в неопределённости и держать фокус не на демке, а на доказательстве ценности Обязанности: — Владеть end-to-end сценариями протокола по трём линиям: данные, подбор финансового продукта, исполнение сделки. — Формировать продуктовую логику протокола: какие запросы делает агент, какие ответы получает, какие ограничения применяются, как фиксируется объяснение и аудит. — Пилотировать протокол с b2c продуктами Офиса ИИ: проверять, где ассистенту не хватает данных, контекста, структуры или правил. — Собирать benchmark-датасеты и evals: реальные пользовательские запросы, критерии хорошего ответа, разметка, сравнение с веб-поиском, ISS и агрегаторами. — Синтезировать требования от бизнеса, CDO, архитектуры, разработки, комплаенса, брокеров и AI-команды в понятный roadmap и бэклог. — Довести MVP до запуска и первых пилотов с участниками рынка. Условия: — Full-time, 5/2. — Вилка до 350к рублей на руки. О компании: Группа компаний «АРТ-Финтех» более 20 лет на рынке — международный поставщик инновационных банковских программных решений. Наша компания разрабатывает ПО для финансового сектора

Location: United States Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Payward Services is an enterprise infrastructure platform that enables companies to seamlessly integrate trading, payments, funding, and digital asset services through a single unified system. It provides coordinated liquidity, custody, compliance, risk management, and settlement capabilities, reducing operational complexity for fintechs, banks, brokerages, and payment providers. Payward's Payments & Blockchain team owns the first and last mile of every dollar that moves in or out of its products. That means dozens of banking partners, PSPs and local rails powering deposits and withdrawals for millions of users. The team is looking for a product manager to shape the future of this platform, from the architecture underneath to the API layer internal clients build on. At the center is Payward's in-house PSP: a scalable, multi-tenant payments backend with hosted pages, SDKs, embedded components and direct APIs, so any Payward business can plug in and reach pay-in and payout rails worldwide.   THE OPPORTUNITY - Own the product vision and roadmap for the Payward payments platform, covering both the shared backend and the integration surfaces internal clients build on (hosted pages, SDKs, embedded components and direct APIs) - Map requirements across internal clients and use them to evolve the platform's vision and capabilities so it serves a growing range of use cases - Partner with engineering to turn the target vision into a sequenced, high-impact roadmap, with milestones every client team can plan against - Prioritize across competing client needs, make the trade-offs visible, and say no with a clear rationale - Shape the client experience end to end, from first conversation to go-live, so teams can adopt the platform without heavy hand-holding - Work with the banking and partnerships teams so each new PSP or bank integration is built once on the platform and reaches every Payward business - Bring compliance, risk and legal requirements across Payward's entities and jurisdictions into the roadmap early, before they become launch blockers - Set and track platform success metrics, such as time to launch a rail for an existing client, time for a new client to go live, share of rails available through the platform, and payment success rates     WHAT YOU BRING - 5+ years of product management experience, ideally in a platform, API or infrastructure role where your customers were other internal teams or developers - Working knowledge of payments: pay-ins and payouts, PSPs and acquirers, bank rails (ACH, SEPA, Faster Payments, SWIFT and local methods), and how money flows between them - Strong technical fluency. You can read an RFC, challenge an architecture decision, and write an API spec that engineers respect - Experience shipping developer-facing products such as APIs, SDKs, or embeddable UI components - Clear, structured writing. You turn complex system designs into docs that product, compliance and business stakeholders can all act on - Skill at managing many stakeholders with different priorities, and building alignment without direct authority - Comfort working with data to set goals and measure platform adoption and performance     NICE TO HAVES - Experience at a PSP, payment orchestrator or payments infrastructure company, or building one in-house - Background with multi-tenant SaaS or B2B2C platforms - Familiarity with crypto, stablecoins or on/off-ramps - Experience working across multiple regulated legal entities or licensing regimes       Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice