Member, technical staff jobs in Irvington, NJ - 694 jobs

Category-defining tech. Career-defining work. Lots of tech companies disrupt. But, many fail when they try to scale. We're different. CockroachDB makes it easier for companies to build and scale apps. This is how and why we're helping some of the most innovative companies on the planet. We tackle problems head-on and focus on solutions that create lasting impact. Because when our customers win, we all win. The Role CockroachDB provides the backbone of storing data on a global scale. Our core mission on the SRE team is to operate at scale a secure & reliable Cockroach Cloud product. We provide consultation, planning, architectural oversight, concrete designs, development, and implementation that improve the resilience, efficiency, performance, and availability of our Cloud Service. We also take pride in being good on-call engineers. We believe regular reflection on the experience of being on-call can contribute in the short, medium, & long term to improvements to the core product, including to CRDB itself. As a Site Reliability Engineer you'll help manage and scale our CockroachCloud service, a fully managed global offering of CockroachDB spanning multiple cloud providers. You will oversee our production system, ensuring that we can provide stable and scalable infrastructure as we deliver CockroachDB to our customers. You Will Manage the infrastructure for cloud services, including running internal production systems and hosting CockroachDB for our external customers. Design, write and deliver software and systems to increase product reliability and operational efficiency. Develop custom tools as necessary. Keep a complex system running and solve problems relating to mission-critical services. Design, implement, operate, and troubleshoot the automation and monitoring of production clusters to maximize performance and availability. Drive the company through disaster recovery tests, where we manually turn down pieces of CockroachDB to test its overall resilience to failures. Participate in an on-call rotation for our production systems and hosted services. The Expectations In your first 30 days, you will onboard and be exposed to our current internal and customer-facing production systems. Working with our existing SRE and engineering teams, you will pair on production operations and build out runbooks for the operation of different systems. We believe that it's essential for you to take this first month to become familiar with our technology and our company. After 3 months, you'll be fully integrated into the team. You will develop and own tooling for reliability, automation, and other issues related to CockroachCloud's stability and scalability. You will identify new opportunities for automating processes, streamlining delivery, deploying new core functionality, and building great tools. You will help make CockroachCloud the best platform to host CockroachDB on by bringing your expertise to our database. You Have Expertise in analyzing, monitoring, and troubleshooting large-scale distributed systems. Experience in software development using one or more of the following: Go, C, C++, Python, Java. Proficiency working with algorithms, data structures, and production troubleshooting. Expertise in working with major cloud providers (AWS, Azure, GCP, etc.) and Cloud APIs. Debugged and optimized code and to automate routine tasks. Working knowledge of web and network protocols and standards (HTTP, TLS, DNS, etc.) Prior on-call experience, exhibiting sense of ownership, attention to detail, and urgency. Experience building collaborative relationships with your colleagues. You enjoy being part of the code review process and partnering with your teammates on challenging problems. The Team We are a group of software engineers first & foremost. We use software engineering as a means to achieve our mission; this is the SRE way. The SRE team is currently distributed across North America (5) and India (4). Reporting to Tom Schmidt - Director, Production Engineering Tom recently joined Cockroach Labs as manager of Site Reliability Engineering and has taken responsibility for Cockroach Cloud's production operations. Tom joined Cockroach Labs after 15 years at IBM where he initially contributed in a wide variety of technical leadership roles, generally focussing on quality and automation across compiler development, test frameworks, CICD, and more. Over the past 7 years, Tom has become an enthusiastic advocate of the Site Reliability Engineering discipline, presenting on the topic at conferences, developing certification curriculum, and securing multiple patents. Tom was also a primary contributor towards the establishment of IBMs formal SRE profession and was recognized as one of the first three SRE Thought Leaders within the company. Most recently, Tom transitioned into a management role where he introduced Site Reliability Engineering to the IBM Business Analytics organization, building an SRE team from the ground up, eventually managing over 20 individuals across 3 unique project areas while establishing practices that now guide over 80 engineers internationally. Cockroach Labs presented a new and unique opportunity to gain experience in a high paced startup environment, laying the foundation for scalable reliability as we prepare for the rapid growth of our Cockroach Cloud offering. Beyond the business, Tom is blessed to call himself a proud father of a 4 year old boy, and otherwise enjoys finding balance between spending time in nature (hiking, camping, exploring) and testing his mettle in competitive gaming. Jordan Lewis - VP, Engineering Jordan is the Head of Engineering for Cockroach Labs. He's responsible for the teams that build, maintain and keep CockroachDB reliably serving the needs of Cockroach Labs' most demanding customer base. He joined Cockroach Labs as a database engineer in 2016 when it was just 25 people before moving into engineering leadership and most recently moving to lead the Cloud organization. Jordan lives in his hometown of Brooklyn NY with his wife. Outside of work he enjoys folk music and riding his electric scooter around town. Cockroach Labs is proud to be an Equal Opportunity Employer building a diverse and inclusive workforce. If you need additional accommodations to feel comfortable during your interview process, please email us at accessibility@cockroachlabs.com. Cockroach Labs has a hybrid work model, with Roachers that are local to one of our offices coming in on Mondays, Tuesdays, and Thursdays and working flexibly the rest of the week. While we've learned valuable lessons working remotely, nothing can replace the connection, creativity, and fun that occurs when Roachers get together and we are committed to fostering a workplace that encourages collaboration and allows us all to do our best work. Benefits Stock Options Medical Insurance Vision Insurance Dental Insurance Life and Disability Insurance Professional Development Funds Flexible Time Off Paid Holidays Paid Sick Days Paid Parental Leave Retirement Benefits Mental Wellbeing Benefits And more! The annual anticipated base salary range for U.S. candidates for this role is listed in USD below. Salary is one component of the Cockroach Labs' Total Rewards package, which also includes, for each employee: stock options, medical insurance, vision insurance, dental insurance, life and disability insurance, funds towards professional development resources, flexible paid time off, 11 paid holidays a year, 10 paid sick days a year, paid parental leave, a 401(k) plan, and wellbeing benefits. We set standard ranges for all U.S.-based roles based on function, level, and geographic location, benchmarked against similar stage growth companies. Actual salaries may vary and fall outside of this range depending on factors such as a candidate's qualifications, geographic location, skills, experience, and competencies. In addition, we are often open to a wide variety of profiles, and recognize that the person we hire may be less experienced (or more senior) than this job description as posted. Salaries for candidates outside the U.S. will vary based on local compensation structures. This position will remain posted until filled. Applicants should apply via our Careers Page. Annual Anticipated Base Salary Range (U.S)$179,000-$236,900 USD

About Us: Modal provides the infrastructure foundation for AI teams. With instant GPU access, sub-second container startups, and native storage, Modal makes it simple to train models, run batch jobs, and serve low-latency inference. Companies like Suno, Lovable, and Substack rely on Modal to move from prototype to production without the burden of managing infrastructure. We're a fast-growing team based out of NYC, SF, and Stockholm. We've hit 9-figure ARR and recently raised a Series B at a $1.1B valuation. We have thousands of customers who rely on us for production AI workloads, including Lovable, Scale AI, Substack, and Suno. Working at Modal means joining one of the fastest-growing AI infrastructure organizations at an early stage, with many opportunities to grow within the company. Our team includes creators of popular open-source projects (e.g. Seaborn, Luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We're looking for strong backend engineers who love building a developer tools used by the largest AI companies in the world. You'll be building for things at scale, but also for new AI workflows that change every day. Requirements: * Experience building and shipping modern web applications end-to-end. We care more about what you've built than how many years you've been building. * Comfort working across the stack: TypeScript on the frontend, Python services on the backend, and ClickHouse for data and analytics. * Deep knowledge of observability tools and patterns used for large-scale workloads such as custom sandboxes, training and inference for large language (LLM) and diffusion models. * Experience with at least one of: billing/payments systems, B2B SaaS tooling, or enterprise software, or LLM / diffusion models inference and training loads. * Strong product instincts; you think about customer problems, not just tickets. * Ability to make good tradeoffs between shipping fast and building for scale. * Ability to work in-person in our NYC office.

We're assisting a well-funded startup with their search for a Member of Technical Staff - Frontend or Design Engineering. Their product is an open-source platform that creates a feedback loop for optimizing LLM applications - turning production data into smarter, faster, and cheaper models. This role will work onsite in their NY office. The role: The vast majority of your work will be open source. You'll have an opportunity to continue to master your current skills with the flexibility to learn new ones from scratch. If you joined today, you'd take on the open-source UI that helps engineers manage the entire platform operation - think of it like the AWS Console for the platform. The UI streamlines workflows for observability, optimizing (e.g. fine-tuning), evaluations, and more. What you'll bring: Strong technical background - You've tackled hard technical problems. You're comfortable driving large projects from inception to deployment (to start, the observability dashboard). Passionate about your craft & design - You're excited about the idea of re-thinking developer tooling from first principles to build interfaces and workflows that don't just work but also delight. Background in front-end SWE - They've started building POCs using Remix and Tailwind, but ultimately they're not experts in this area (for now!). You'll complement the team with a strong background and technical leadership (esp. React). Hungry for personal growth - There are no speed limits. You're excited about learning and contributing across the stack. In-person in NYC - They work in-person five days a week in NYC. They work hard and obsess about the craft - but maintain and encourage a healthy lifestyle with a long-term mindset.

At Anchorage Digital, we are building the world's most advanced digital asset platform for institutions to participate in crypto. Anchorage Digital is a crypto platform that enables institutions to participate in digital assets through custody, staking, trading, governance, settlement, and the industry's leading security infrastructure. Home to Anchorage Digital Bank N.A., the first federally chartered crypto bank in the U.S., Anchorage Digital also serves institutions through Anchorage Digital Singapore, Porto by Anchorage Digital, and other offerings. The company is funded by leading institutions including Andreessen Horowitz, GIC, Goldman Sachs, KKR, and Visa, with its Series D valuation over $3 billion. Founded in 2017 in San Francisco, California, Anchorage Digital has offices in New York, New York; Porto, Portugal; Singapore; and Sioux Falls, South Dakota. Learn more at anchorage.com, on X @Anchorage, and on LinkedIn. As a member of the Banking Solutions team, you will be responsible for implementing and maintaining innovative products, in a highly collaborative team, that empowers Anchorage's NeoBank functionality. The crypto industry is one of the most exciting industries in tech today, and it is constantly changing! At Anchorage Digital, we are building foundational technology to help the crypto industry evolve in a safe, regulated and highly secure manner, which we believe is essential for maximizing the potential of this exciting industry We think about growth and career development differently at Anchorage Digital. We define performance as acquiring, possessing, and practicing a relevant set of skills and competencies - and the ability to apply them effectively and consistently. We have created the Factors of Growth & Impact to help Anchorage Digital "Villagers" better measure impact and the rich and rewarding learning that happens while exploring, developing, and mastering the capabilities and contributions within and outside of the Fullstack oftware Engineering role. You will be coached, mentored and guided to grow your capabilities in 4 major areas: Technical Skills: * Participate in task breakdown, estimation, design, implementation and maintenance across the full stack. * Build backend services and APIs that power Banking Solutions features. * Create intuitive user experiences that simplify complex financial data into digestible, actionable insights. * Build data visualizations from the ground up (charts, transaction flows, balance reports). * Write, review, test, and document code according to Anchorage's engineering and team standards. * Review code across frontend and backend, ensuring consistency, reducing errors, and sharing context across the engineering team. * Dive deep into complex, ambiguous problems, formulate elegant and practical solutions. Complexity and Impact of Work: * Drive work independently, lead or significantly contribute to medium-to-large projects or processes, usually multi-person interdepartmental or cross-functional projects, including leading from end-to-end with little oversight and coordinating activities of other team members. * Be capable of breaking down large projects into smaller tasks, and accurately estimating the time and scope of projects. Articulate effectively the different options considered, analyzes trade-offs, justifies and recommends priorities. * Foster an efficient deterministic testing culture, with an emphasis on minimizing tech debt. Organizational Knowledge: * Ensure that knowledge is shared among the team and does not position themselves or others as a single point of failure. * Collaborate cross-functionally within the team and other teams at Anchorage Digital * Monitor the development of the company objectives and/or trends that may affect its capacity to succeed. Communication and Influence * Mentor and guide others on the team within their area of specialization or domain, and help others understand the strategic goals of Anchorage and how their work relates to these. * Communicate outside team boundaries to solve problems, network with other teams, and establish positive working relationships in other disciplines and domains. You may be a fit for this role if you: * Have real world experience building complex distributed systems and web applications from scratch. * Experience with backend languages (we mostly use Go, but languages can be learned). * Proficiency with React.JS or similar JavaScript frameworks (Next.JS, Angular.JS, Vue.JS). * Enjoy building resilient services that can handle different volumes of work without manual intervention. * Genuinely care about code quality, test infrastructure, and end-user experience. * Prioritize business value and user experience over "cool tech". * Have developed "computer science fundamentals" (concurrency, algorithms, data structures - formal CS degree NOT required). * Believe software engineering is a team activity and enjoy collaborating, learning from and mentoring others. Although not a requirement, bonus points if you have: * GraphQL and/or gRPC API design and implementation experience (both consuming and building). * Production experience with web security. * A background in the finance industry or fintech. * Experience working across the full stack on customer-facing financial applications. Compensation at Anchorage Digital: * Compensation at Anchorage Digital is market-driven and data-informed. All full-time employees receive a market-leading salary, meaningful equity, and a generous perks and benefits package. * Compensation Range: $189,000-$291,000 - this salary range may be inclusive of multiple regional locations and job grades. This compensation range will be narrowed during the interview process based on skills, abilities, and experience required. We partner with third party firms annually to verify equity, cash, benefits, and perks benchmarks. * Benefits: Anchorage Digital is proud to provide market-leading benefits and perks to our employees. We are only 1% of companies who offer 100% health, dental, and vision coverage for you and your dependents. This means no monthly out-of-pocket premiums for you or your family. We offer a wide range of benefits to our employees globally. * You can learn more about our culture and perks and benefits here. About Anchorage Digital: Who we are The Anchorage Village, what we call our team, brings together the brightest minds from platform security, financial services, and distributed ledger technology to provide the building blocks that empower institutions to safely participate in the evolving digital asset ecosystem. As a diverse team of more than 600 members, we are united in one common goal: building the future of finance by providing the foundation upon which value moves safely in the new global economy. Anchorage Digital is committed to being a welcoming and inclusive workplace for everyone, and we are intentional about making sure people feel respected, supported, and connected at work-regardless of who you are or where you come from. We value and celebrate our differences and we believe being open about who we are allows us to do the best work of our lives. Anchorage Digital is an Equal Opportunity Employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. Anchorage Digital considers qualified applicants regardless of criminal histories, consistent with other legal requirements. "Anchorage Digital" refers to services that are offered either through Anchorage Digital Bank National Association, an OCC-chartered national trust bank, or Anchorage Lending CA, LLC a finance lender licensed by the California Department of Financial Protection and Innovation, License No. 60DBO-11976, or Anchorage Digital Singapore Pte Ltd, a Singapore private limited company, all wholly-owned subsidiaries of Anchor Labs, Inc., a Delaware corporation. Protecting your privacy rights is important to Anchorage Digital, and we work to maintain the trust and confidence of our clients when handling personal or financial information. Please see our privacy policy notices here. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. Focus Creating and driving engineering agenda to toward superhuman multimodal capabilities, which include both multimodal understanding and multimodal generation, across different modalities including image, video and audio. Improving data quality, developing data filtering/generation techniques, and performing data study, on pretraining scale. Creating evaluation frameworks and internal benchmarks. Designing and implementing effective and efficient algorithms for achieving state-of-the-art model performance. Ideal Experience Hands-on experience on visual, audio or multimodal pretraining. Track record in leading engineering that significantly improves the capability and performance of neural networks, whether better data or better modeling. Experience in data-driven experiment designs and systematic analysis for iterative model debugging. Experience in developing or working with large-scale distributed machine learning systems. Ability to do whatever is necessary to deliver the best end-to-end user experience. Tech Stack Python Jax Rust Interview Process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview ("intro call") during which a member of our team will ask some basic questions. If you clear the initial , you will enter the main process, which consists of four technical interviews: One-on-one engineering discussion & coding interviews (three meetings total) Meet the Team: Present your past exceptional work and your vision with xAI to a small audience. Every application is reviewed by a member of our technical team. All interviews will be conducted via Google Meet. Location The role is based in the New York area. Candidates are expected to be located near the New York City area or open to relocation. Annual Salary Range $180,000 - $440,000 USD Benefits Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. xAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

About Us Chakra Labs' mission is to encode human taste into intelligence. We source differentiated, proprietary data from end consumers - giving AI teams access to mission critical datasets for inference and post-training Why you should work with us You will get to touch the latest and greatest technologies across the data, AI, and infrastructure stack. You will get mentored by an experienced and qualified team. Some of our people: Nirmal Krishnan - CEO Formerly: Microsoft, Hedge Fund, Head of Engineering at Artemis. Alex Fung - CTO Formerly: Snap for 5+ years (built Snap Map, led Snap's crypto efforts), Founding Engineer at TipLink You will get paid a very competitive cash package with top benefits and a $30 daily meal stipend. We also provide a compelling equity package. Why you shouldn't work with us This is our life's work. We have fun, but we work hard. If you want to clock a 9-5, this probably isn't a great fit. There's no clear playbook for success. Data and AI are constantly shifting. Adding in a distributed component in terms of sourcing labor - we are constantly learning and shifting. While we have a clear mission and vision, if you're uncomfortable with ambiguity this role will be challenging for you. About You You are user obsessed and love the small details. Hover shadows. Gradients. Getting the perfect margins and padding in components. You don't have to know these front-end technologies, but they don't terrify you: Next.js, Typescript, Tailwind ShadCN Prisma WalletConnect You love front-end, but you're comfortable thinking about the bigger picture. Making back-end changes. Spinning up a database. Playing with AWS to ensure a secure deployment. You don't need to be a subject matter experience here, but you are not easily intimidated. Experience: we don't believe in hard and fast rules here. Roughly 3-5 years of experience is what we're looking for, but more or less experience works as long as the above expectations resonate with you.

Product TensorZero is building an automated AI engineer (”TensorZero Autopilot”) powered by our open-source LLMOps platform (”TensorZero Stack”). TensorZero Stack We started by building an open-source LLMOps platform for full-stack LLM engineering: Gateway: access every LLM provider through a unified API ( Observability: monitor your LLM systems, programmatically or with a UI Optimization: optimize your prompts, models, and inference strategies Evaluations: benchmark individual inferences or end-to-end workflows Experimentation: deploy with built-in A/B testing, fallbacks, etc. Today, the TensorZero Stack is used by companies ranging from frontier AI startups to Fortune 50 enterprises. TensorZero Autopilot Now we're working on TensorZero Autopilot, an automated AI engineer powered by our open-source LLMOps platform. Think of it like “Claude Code for TensorZero”. TensorZero Autopilot collaborates with engineering teams to automate LLM engineering - with full visibility and control. For example, it can: Analyze millions of inferences to surface error patterns and optimization opportunities Recommend models and inference strategies to improve quality, cost, and latency Generate and refine prompts based on human feedback, metrics, and evaluations Drive optimization workflows like fine-tuning, reinforcement learning, and distillation Set up evaluations, prevent regressions, and align LLM judges to real-world scenarios Run A/B tests to validate changes, identify winners, and close the feedback loop By itself, TensorZero Autopilot drove substantial performance improvements for LLM systems in benchmarks and synthetic environments ranging from data extraction to customer support agents. Role We're looking for a Member of Technical Staff with a background that combines product and engineering. As the first product hire at TensorZero, you'll wear many hats and quickly grow with the company. Early on, the role will be especially focused on our developer community. From coding to content creation, you'll work on whatever it takes to drive adoption: demos, integrations & partnerships, documentation, videos, social media, events, and more. You're a "wartime product manager" who can think outside the box, with the technical background to scale your impact independently. Team & Culture We're a small, deeply technical team based in NYC (in person). As an early contributor, you'll work closely with us and have a significant impact on the project's future and vision. Viraj Mehta (Co-Founder & CTO) is an ML researcher with deep expertise in reinforcement learning and LLMs. He received a PhD from CMU with an emphasis on data-efficient RL for nuclear fusion and LLMs, and previously worked in machine learning at KKR and a fintech startup. He holds a BS in math and an MS in computer science from Stanford. Gabriel Bianconi (Co-Founder & CEO) was the chief product officer at Ondo Finance ($20B+ valuation) and previously spent years consulting on machine learning for companies ranging from early-stage tech startups to some of the largest financial firms. He holds BS and MS degrees in computer science from Stanford. Aaron Hill (MTS) is a back-end engineer with deep expertise in Rust. He became one of the maintainers of the Rust compiler while still in college. Later, he worked on back-end infrastructure at AWS and Svix. He's also an active contributor to many notable open-source Rust projects (e.g. Ruffle). Andrew Jesson (MTS) is an ML researcher with deep expertise in Bayesian ML, causal inference, RL, and LLMs. He recently completed a postdoc at Columbia and previously received a PhD from Oxford, during which he interned at Meta. He has 4k+ citations and several first-author papers at NeurIPS and other top ML venues. Alan Mishler (MTS) is an ML researcher with a background in causal inference, sequential decision making, uncertainty quantification, and algorithmic fairness (1.2k+ citations). Previously, he was an AI Research Lead at JPMorgan AI Research and received a PhD in Statistics from CMU, during which he interned at Google and Box. Shuyang Li (MTS) previously was a staff software engineer at Google focused on next-generation search infrastructure, LLM-based search, and many other specialized search products (local, travel, shopping, maps, enterprise, etc.). Before that, he worked on ML/analytics products at Palantir and graduated summa cum laude from Notre Dame. Simeon Lee (MTS) previously was the Head of Design at Merge from inception through Series B. He was also a founding & senior design engineer at multiple startups in AI and developer tools. Earlier in his career, he worked in investment banking and graduated from USC. _____ You? What We Offer Competitive compensation - We believe that great talent deserves great compensation (salary, equity, benefits), even at an early-stage startup. Open-source contributions - Much of your work will be open-source and public. Learning and growth opportunities - You'll work alongside experts in front-end, back-end, and ML to build high-impact user-facing products. Small, technical, in-person team - You'll work alongside a 100% technical team and help shape our vision, culture, and engineering practices. Best-in-class investors - We're lucky to be have raised $7.3M+ from leading funds like FirstMark (backed ClickHouse), Bessemer (backed Anthropic), Bedrock (backed OpenAI), and many angels. We have years of runway and a long-term mindset. We're Looking For Strong technical background - You've tackled hard technical problems. You can code as needed to scale your impact in product and GTM. Community leadership - You're excited to build a community of developers, teach them about TensorZero, and more. Technical writing & speaking - You're comfortable writing technical content, public speaking, organizing events, and more. Hungry for personal growth - There are no speed limits at TensorZero. You're excited about learning and contributing across the company while wearing many hats. Wartime product manager - "Either you win with grace or by force. But you have to win." TensorZero is a "win by force" company, and you're a "do whatever it takes to win" person. In-person in NYC - We work in-person five days a week in NYC. We work hard and obsess about the craft.

Who are we? Our mission is to scale intelligence to serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what's best for our customers. Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products. Join us on our mission and shape the future! Why this role? Our team is a fast-growing group of researchers and engineers focused on building reliable ML systems and pushing the boundaries of LLM inference efficiency. We develop techniques that improve how models execute in production, driving lower latency, higher throughput, and consistent quality across diverse workloads. As an engineer on this team, you'll work across the inference stack to improve core performance metrics by diving deep into model execution, identifying bottlenecks, and developing innovative optimizations. You'll collaborate closely with modeling and systems teams to experiment, measure, and ship improvements that meaningfully accelerate inference. As the team evolves, you'll have opportunities to build expertise in advanced performance techniques, including GPU/CUDA optimizations, kernel-level improvements, and model execution strategies for MoE and large-scale architectures. Please Note: We have offices in Toronto, Montreal, San Francisco, New York, Paris, Seoul and London. We embrace a remote-friendly environment, and as part of this approach, we strategically distribute teams based on interests, expertise, and time zones to promote collaboration and flexibility. You'll find the Model Efficiency team concentrated in the EST and PST time zones, these are our preferred locations. You may be a good fit for the Model Efficiency team if you have: * 5+ years of experience writing high-performance, production-quality code * Strong programming skills in C++ or Python (Rust/Go also welcome) * Experience working with large language models and familiarity with the LLM inference ecosystem (e.g., vLLM, SGLang, etc.) * Ability to diagnose and resolve performance bottlenecks across the model execution stack * A strong bias for action - you ship fast, measure impact, and iterate It's a big plus if you have experience with: * GPU programming, CUDA, or low-level systems optimization * Language modeling with transformers (MoE, speculative decoding, KV-cache optimizations) * Scaling performance-critical distributed systems (e.g., computation, search, storage) If some of the above doesn't line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. Full-Time Employees at Cohere enjoy these Perks: An open and inclusive culture and work environment Work closely with a team on the cutting edge of AI research Weekly lunch stipend, in-office lunches & snacks Full health and dental benefits, including a separate budget to take care of your mental health 100% Parental Leave top-up for up to 6 months Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend ️ 6 weeks of vacation (30 working days!)

About us ATG (Autonomous Technologies Group) is an AI lab deploying frontier reasoning systems within financial markets. Founders: Early GPU cloud (9 figure exit). Investors: Garry Tan / YC + Founder of one of the most successful quant funds, BoxGroup (Plaid, Ramp, Stripe), top-tier angels. About the Role You'll design and scale the compute, storage, and data infrastructure that powers advanced AI research. Your work will ensure the speed, reliability, and reproducibility of every experiment and deployment. Responsibilities Develop and maintain scalable compute infrastructure (cloud, bare metal, clusters). Automate build, test, and deploy pipelines for research and production. Build tools for experiment tracking, monitoring, and reproducibility. Ensure security, reliability, and rapid iteration across all environments. Requirements Deep experience with cloud-native platforms (AWS, GCP, OCI), containerization, and orchestration (Kubernetes, Docker). Strong proficiency in Python and infrastructure-as-code tools (Terraform, Ansible, etc.). Experience scaling infra for ML, data, or research workflows. Relentless focus on reliability, observability, and developer velocity. Expertise in leveraging the latest AI tools (Cursor, Claude Code, Codex, etc) to increase productivity & code output while maintaining high code quality, maintainability, and structure. Why Join ATG We're building a small, elite team. If you're excited by AI, markets, and building from first principles, we'd love to meet you. Work on AI with a massive market opportunity Early team of repeat founders backed by top investors High agency, talent dense, zero bureaucracy

TITLE: Junior Staff DEPARTMENT: Programs REPORTS TO: Program Director COMPENSATION: $15-$17 an hr. Full The Boys & Girls Club of Garfield is seeking responsible, enthusiastic, and dependable Junior Staff to support our afterschool and summer programs. Junior Staff play a vital role in creating a safe, positive, and engaging environment for children and teens. This position involves assisting with daily activities, helping maintain order and safety, supporting staff in program delivery, and fostering positive relationships with members. The ideal candidate will be energetic, reliable, and eager to learn, demonstrating a commitment to helping youth succeed while upholding the mission and values of the Boys & Girls Club. This role is designed for individuals gaining experience in youth development, program operations, and teamwork. Responsibilities: Assist program staff in supervising children and teens during activities, transitions, and free time. Ensure a safe, structured, and engaging environment for all members at all times. Encourage participation in games, enrichment programs, and social activities. Support positive behavior by reinforcing program rules and modeling respectful interactions. Build positive relationships with members, fostering trust, inclusivity, and personal growth. Promote teamwork, sportsmanship, and cooperation among members during activities. Help staff set up and clean up materials for crafts, games, and other activities. Assist in distributing materials, equipment, and supplies for program activities. Participate in activities with members to encourage engagement and positive experiences. Support youth in understanding and following activity instructions and safety rules. Follow all Club policies, procedures, and safety guidelines consistently. Demonstrate reliability, punctuality, and a positive, professional attitude. Serve as a role model for respectful behavior, teamwork, and adherence to Club values. Assist with organizing and maintaining activity areas, materials, and supplies. Assist with light cleaning, sanitation, and maintaining a safe and orderly environment. Demonstrate initiative by anticipating staff needs and proactively supporting program operations. Participate in all staff training and meetings Organizes and assists in various small and large group activities Disinfect commonly used items like bathrooms, desks, door handles, office tools, and phones. Empty trash and recycling bins Other duties may be assigned as required. Skills & Competencies Interpersonal Skills Communication Dependability & Reliability Teamwork & Collaboration Safety Awareness Professionalism Adaptability & Flexibility Problem-Solving Organization & Attention to Detail Conflict Resolution Support Eagerness to Learn Physical Stamina Positive Role Modeling Requirements / Qualifications Age Requirement: Must be at least 16 years old Education: High school student or equivalent Physical Requirements: Ability to stand, walk, and actively participate in youth activities; occasional lifting up to 50 lbs. Background Clearance: Successful completion of required background checks, fingerprinting, and compliance with state youth organization requirements. Disclaimer This job description is intended to outline the general nature and level of work performed by employees in this position. It is not an exhaustive list of all duties, responsibilities, or qualifications. The Boys & Girls Club of Garfield reserves the right to modify, add, or remove duties as necessary to meet organizational needs and the evolving needs of the youth and families we serve. Employment with the Boys & Girls Club of Garfield is at-will, meaning that either the employee or the organization may terminate the employment relationship at any time, with or without cause or notice, in accordance with applicable laws.

About Us: Modal provides the infrastructure foundation for AI teams. With instant GPU access, sub-second container startups, and native storage, Modal makes it simple to train models, run batch jobs, and serve low-latency inference. Companies like Suno, Lovable, and Substack rely on Modal to move from prototype to production without the burden of managing infrastructure. We're a fast-growing team based out of NYC, SF, and Stockholm. We've hit 9-figure ARR and recently raised a Series B at a $1.1B valuation. We have thousands of customers who rely on us for production AI workloads, including Lovable, Scale AI, Substack, and Suno. Working at Modal means joining one of the fastest-growing AI infrastructure organizations at an early stage, with many opportunities to grow within the company. Our team includes creators of popular open-source projects (e.g. Seaborn, Luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We are looking for strong engineers with experience in making ML systems performant at scale. If you are interested in contributing to open-source projects and Modal's container runtime to push language and diffusion models towards higher throughput and lower latency, we'd love to hear from you! Requirements: 5+ years of experience writing high-quality, high-performance code. Experience working with torch, high-level ML frameworks, and inference engines (vLLM or TensorRT). Familiarity with Nvidia GPU architecture and CUDA. Experience with ML performance engineering (tell us a story about boosting GPU performance - debugging SM occupancy issues, rewriting an algorithm to be compute-bound, eliminating host overhead, etc). Nice-to-have: familiarity with low-level operating system foundations (Linux kernel, file systems, containers, etc). Ability to work in-person, in our NYC, San Francisco or Stockholm office.

Category-defining tech. Career-defining work. Lots of tech companies disrupt. But, many fail when they try to scale. We're different. CockroachDB makes it easier for companies to build and scale apps. This is how and why we're helping some of the most innovative companies on the planet. We tackle problems head-on and focus on solutions that create lasting impact. Because when our customers win, we all win. The Role CockroachDB provides the backbone of storing data on a global scale. Our core mission on the SRE team is to operate at scale a secure & reliable Cockroach Cloud product. We provide consultation, planning, architectural oversight, concrete designs, development, and implementation that improve the resilience, efficiency, performance, and availability of our Cloud Service. We also take pride in being good on-call engineers. We believe regular reflection on the experience of being on-call can contribute in the short, medium, & long term to improvements to the core product, including to CRDB itself. As a Site Reliability Engineer you'll help manage and scale our CockroachCloud service, a fully managed global offering of CockroachDB spanning multiple cloud providers. You will oversee our production system, ensuring that we can provide stable and scalable infrastructure as we deliver CockroachDB to our customers. You Will * Manage the infrastructure for cloud services, including running internal production systems and hosting CockroachDB for our external customers. * Design, write and deliver software and systems to increase product reliability and operational efficiency. * Develop custom tools as necessary. * Keep a complex system running and solve problems relating to mission-critical services. * Design, implement, operate, and troubleshoot the automation and monitoring of production clusters to maximize performance and availability. * Drive the company through disaster recovery tests, where we manually turn down pieces of CockroachDB to test its overall resilience to failures. * Participate in an on-call rotation for our production systems and hosted services. The Expectations In your first 30 days, you will onboard and be exposed to our current internal and customer-facing production systems. Working with our existing SRE and engineering teams, you will pair on production operations and build out runbooks for the operation of different systems. We believe that it's essential for you to take this first month to become familiar with our technology and our company. After 3 months, you'll be fully integrated into the team. You will develop and own tooling for reliability, automation, and other issues related to CockroachCloud's stability and scalability. You will identify new opportunities for automating processes, streamlining delivery, deploying new core functionality, and building great tools. You will help make CockroachCloud the best platform to host CockroachDB on by bringing your expertise to our database. You Have * Expertise in analyzing, monitoring, and troubleshooting large-scale distributed systems. * Experience in software development using one or more of the following: Go, C, C++, Python, Java. * Proficiency working with algorithms, data structures, and production troubleshooting. * Expertise in working with major cloud providers (AWS, Azure, GCP, etc.) and Cloud APIs. * Debugged and optimized code and to automate routine tasks. * Working knowledge of web and network protocols and standards (HTTP, TLS, DNS, etc.) * Prior on-call experience, exhibiting sense of ownership, attention to detail, and urgency. * Experience building collaborative relationships with your colleagues. You enjoy being part of the code review process and partnering with your teammates on challenging problems. The Team We are a group of software engineers first & foremost. We use software engineering as a means to achieve our mission; this is the SRE way. The SRE team is currently distributed across North America (5) and India (4). Reporting to Tom Schmidt - Director, Production Engineering Tom began at Cockroach Labs as manager of Site Reliability Engineering and has since taken responsibility as Director for Cockroach Cloud's Production Engineering organization. Tom joined Cockroach Labs after 15 years at IBM where he initially contributed in a wide variety of technical leadership roles, generally focussing on quality and automation across compiler development, test frameworks, CICD, and more. Over the past decade, Tom has become an enthusiastic advocate of the Site Reliability Engineering discipline, presenting on the topic at conferences, developing certification curriculum, and securing multiple patents. Tom was also a primary contributor towards the establishment of IBMs formal SRE profession and was recognized as one of the first three SRE Thought Leaders within the company. Tom introduced Site Reliability Engineering to the IBM Business Analytics organization, building an SRE team from the ground up, eventually managing over 20 individuals across 3 unique project areas while establishing practices that now guide over 80 engineers internationally. Cockroach Labs presented a new and unique opportunity to gain experience in a high paced startup environment, laying the foundation for scalable reliability as we prepare for the rapid growth of our Cockroach Cloud offering. Beyond the business, Tom is blessed to call himself a proud father of a 5 year old boy, and otherwise enjoys finding balance between spending time in nature (hiking, camping, exploring) and testing his mettle in competitive gaming. Jordan Lewis - VP, Engineering Jordan is the Head of Engineering for Cockroach Labs. He's responsible for the teams that build, maintain and keep CockroachDB reliably serving the needs of Cockroach Labs' most demanding customer base. He joined Cockroach Labs as a database engineer in 2016 when it was just 25 people before moving into engineering leadership and most recently moving to lead the Cloud organization. Jordan lives in his hometown of Brooklyn NY with his wife. Outside of work he enjoys folk music and riding his electric scooter around town. Cockroach Labs is proud to be an Equal Opportunity Employer building a diverse and inclusive workforce. If you need additional accommodations to feel comfortable during your interview process, please email us at accessibility@cockroachlabs.com. Cockroach Labs has a hybrid work model, with Roachers that are local to one of our offices coming in on Mondays, Tuesdays, and Thursdays and working flexibly the rest of the week. While we've learned valuable lessons working remotely, nothing can replace the connection, creativity, and fun that occurs when Roachers get together and we are committed to fostering a workplace that encourages collaboration and allows us all to do our best work. Benefits * Stock Options * Medical Insurance * Vision Insurance * Dental Insurance * Life and Disability Insurance * Professional Development Funds * Flexible Time Off * Paid Holidays * Paid Sick Days * Paid Parental Leave * Retirement Benefits * Mental Wellbeing Benefits * And more!

At Anchorage Digital, we are building the world's most advanced digital asset platform for institutions to participate in crypto. Anchorage Digital is a crypto platform that enables institutions to participate in digital assets through custody, staking, trading, governance, settlement, and the industry's leading security infrastructure. Home to Anchorage Digital Bank N.A., the first federally chartered crypto bank in the U.S., Anchorage Digital also serves institutions through Anchorage Digital Singapore, Porto by Anchorage Digital, and other offerings. The company is funded by leading institutions including Andreessen Horowitz, GIC, Goldman Sachs, KKR, and Visa, with its Series D valuation over $3 billion. Founded in 2017 in San Francisco, California, Anchorage Digital has offices in New York, New York; Porto, Portugal; Singapore; and Sioux Falls, South Dakota. Learn more at anchorage.com, on X @Anchorage, and on LinkedIn. As a member of the Banking Solutions team, you will be responsible for implementing and maintaining innovative products, in a highly collaborative team, that empowers Anchorage's NeoBank functionality. The crypto industry is one of the most exciting industries in tech today, and it is constantly changing! At Anchorage Digital, we are building foundational technology to help the crypto industry evolve in a safe, regulated and highly secure manner, which we believe is essential for maximizing the potential of this exciting industry We think about growth and career development differently at Anchorage Digital. We define performance as acquiring, possessing, and practicing a relevant set of skills and competencies - and the ability to apply them effectively and consistently. We have created the Factors of Growth & Impact to help Anchorage Digital “Villagers” better measure impact and the rich and rewarding learning that happens while exploring, developing, and mastering the capabilities and contributions within and outside of the Fullstack oftware Engineering role. You will be coached, mentored and guided to grow your capabilities in 4 major areas:Technical Skills: Participate in task breakdown, estimation, design, implementation and maintenance across the full stack. Build backend services and APIs that power Banking Solutions features. Create intuitive user experiences that simplify complex financial data into digestible, actionable insights. Build data visualizations from the ground up (charts, transaction flows, balance reports). Write, review, test, and document code according to Anchorage's engineering and team standards. Review code across frontend and backend, ensuring consistency, reducing errors, and sharing context across the engineering team. Dive deep into complex, ambiguous problems, formulate elegant and practical solutions. Complexity and Impact of Work: Drive work independently, lead or significantly contribute to medium-to-large projects or processes, usually multi-person interdepartmental or cross-functional projects, including leading from end-to-end with little oversight and coordinating activities of other team members. Be capable of breaking down large projects into smaller tasks, and accurately estimating the time and scope of projects. Articulate effectively the different options considered, analyzes trade-offs, justifies and recommends priorities. Foster an efficient deterministic testing culture, with an emphasis on minimizing tech debt. Organizational Knowledge: Ensure that knowledge is shared among the team and does not position themselves or others as a single point of failure. Collaborate cross-functionally within the team and other teams at Anchorage Digital Monitor the development of the company objectives and/or trends that may affect its capacity to succeed. Communication and Influence Mentor and guide others on the team within their area of specialization or domain, and help others understand the strategic goals of Anchorage and how their work relates to these. Communicate outside team boundaries to solve problems, network with other teams, and establish positive working relationships in other disciplines and domains. You may be a fit for this role if you: Have real world experience building complex distributed systems and web applications from scratch. Experience with backend languages (we mostly use Go, but languages can be learned). Proficiency with React.JS or similar JavaScript frameworks (Next.JS, Angular.JS, Vue.JS). Enjoy building resilient services that can handle different volumes of work without manual intervention. Genuinely care about code quality, test infrastructure, and end-user experience. Prioritize business value and user experience over "cool tech". Have developed "computer science fundamentals" (concurrency, algorithms, data structures - formal CS degree NOT required). Believe software engineering is a team activity and enjoy collaborating, learning from and mentoring others. Although not a requirement, bonus points if you have: GraphQL and/or gRPC API design and implementation experience (both consuming and building). Production experience with web security. A background in the finance industry or fintech. Experience working across the full stack on customer-facing financial applications. Compensation at Anchorage Digital: Compensation at Anchorage Digital is market-driven and data-informed. All full-time employees receive a market-leading salary, meaningful equity, and a generous perks and benefits package. Compensation Range: $189,000-$291,000 - this salary range may be inclusive of multiple regional locations and job grades. This compensation range will be narrowed during the interview process based on skills, abilities, and experience required. ****We partner with third party firms annually to verify equity, cash, benefits, and perks benchmarks. Benefits: Anchorage Digital is proud to provide market-leading benefits and perks to our employees. We are only 1% of companies who offer 100% health, dental, and vision coverage for you and your dependents. This means no monthly out-of-pocket premiums for you or your family. We offer a wide range of benefits to our employees globally. You can learn more about our culture and perks and benefits here. About Anchorage Digital: Who we are The Anchorage Village, what we call our team, brings together the brightest minds from platform security, financial services, and distributed ledger technology to provide the building blocks that empower institutions to safely participate in the evolving digital asset ecosystem. As a diverse team of more than 600 members, we are united in one common goal: building the future of finance by providing the foundation upon which value moves safely in the new global economy. Anchorage Digital is committed to being a welcoming and inclusive workplace for everyone, and we are intentional about making sure people feel respected, supported, and connected at work-regardless of who you are or where you come from. We value and celebrate our differences and we believe being open about who we are allows us to do the best work of our lives. Anchorage Digital is an Equal Opportunity Employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. Anchorage Digital considers qualified applicants regardless of criminal histories, consistent with other legal requirements. “Anchorage Digital” refers to services that are offered either through Anchorage Digital Bank National Association, an OCC-chartered national trust bank, or Anchorage Lending CA, LLC a finance lender licensed by the California Department of Financial Protection and Innovation, License No. 60DBO-11976, or Anchorage Digital Singapore Pte Ltd, a Singapore private limited company, all wholly-owned subsidiaries of Anchor Labs, Inc., a Delaware corporation. Protecting your privacy rights is important to Anchorage Digital, and we work to maintain the trust and confidence of our clients when handling personal or financial information. Please see our privacy policy notices here.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Stuut is transforming accounts receivable for B2B companies-making collections smarter and faster for companies that have historically relied on manual processes that are labor intensive and costly. Our platform is gaining traction with finance teams across industrials, chemicals, and manufacturing sectors from Fortune 10 brands to scaling midmarkets. We're backed by top-tier investors including a16z, Khosla, Activant, 1984 Ventures and Page One. The Role We're hiring a Member of Technical Staff - AI/ML to design, build, and deploy AI-powered systems that solve real-world financial operations challenges. You'll take state-of-the-art AI research and translate it into production-grade features that deliver measurable customer impact. From intelligent invoice matching to automated payment reconciliation, you'll create scalable, reliable AI applications that integrate seamlessly into our platform. This is a hands-on role for an engineer who thrives at the intersection of AI innovation and practical business application - turning cutting-edge models into real-world value for midmarket CFOs What You'll Do Build & Deploy: Create production-ready AI applications that directly address customer financial workflow challenges. Optimize AI Features: Implement and refine capabilities like invoice matching, payment reconciliation, and financial document processing. Adapt & Fine-Tune Models: Apply and optimize LLMs, RAG systems, and other AI architectures for specific financial use cases. Engineer for Scale: Develop robust AI pipelines from data ingestion through inference, ensuring reliability, scalability, and maintainability. Automate Workflows: Design AI-powered automations that reduce manual effort in finance operations. Collaborate Cross-Functionally: Partner with Product, Engineering, and customers to translate business needs into effective AI solutions. Measure Impact: Create evaluation frameworks to track AI system performance and quantify business outcomes. You Might Be a Fit If You… Have 5+ years of software engineering experience, with at least 2 years focused on applied AI/ML in production environments. Have integrated and fine-tuned LLMs for real-world applications. Have built retrieval-augmented generation (RAG) systems for document-intensive workflows. Understand MLOps best practices, from model deployment pipelines to monitoring and A/B testing. Are fluent in Python and experienced with PyTorch, TensorFlow, and Transformers. Have shipped AI products that solved real business problems - not just prototypes. Have strong experience with data preprocessing and feature engineering for AI. Can translate business requirements into clear, impactful technical solutions. Have experience integrating AI systems into existing enterprise platforms. Compensation Top-of-market salary and equity package Benefits (for U.S.-based full-time employees) Medical, dental & vision insurance coverage for you 401(k) & Match Equity Flexible PTO Parental Leave Compensation Range: $220K - $375K

Who are we? Our mission is to scale intelligence to serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what's best for our customers. Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products. Join us on our mission and shape the future! Why this role? We're looking for an experienced machine learning researcher / engineer who can help us push the frontiers of agentic LLM systems. As a part of the team, you will help drive exploration and development of agentic techniques and have the opportunity to build the models that power our agentic solutions. Agentic LLM systems are being deployed widely across enterprise companies including through Cohere's North platform. In this role, you'll be working with a team developing new strategies for training models for advanced agent capabilities including reasoning, tool use, and memory. This includes developing data-generation techniques for post-training (SFT and RL*) Cohere's models. Model advancements have direct impacts on North and other Cohere products creating an exciting opportunity where core model development leads to direct product advancements. Please Note: We have offices in London, Toronto, San Francisco, and New York, but we also embrace being remote-friendly! Our preference for this role is that you are based in Eastern Time, New York office, remote or hybrid works! As a Member of Technical Staff for Agents Modeling you will: * Design and develop novel agentic solutions * Improve upon SOTA on hard agentic tasks * Research the next-generation of on-line learning-from-experience self-improvement * Work with partner teams (Reasoning, Post-training, Pre-training, etc.) to improve performance of agentic system * Work with an amazing team of researchers and engineers pushing the boundaries You may be a good fit if you have: * Have a PhD in computer science or related field or similar industry research experience * Strong software engineering skills * Proficiency in Python and experience with ML-related code (e.g., pytorch, numpy, etc.) * Experience with LLMs and agentic frameworks * Experience with post-training LLMs (SFT, PEFT, or RL*) * Experience with building synthetic data generation pipelines If some of the above doesn't line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. Full-Time Employees at Cohere enjoy these Perks: An open and inclusive culture and work environment Work closely with a team on the cutting edge of AI research Weekly lunch stipend, in-office lunches & snacks Full health and dental benefits, including a separate budget to take care of your mental health 100% Parental Leave top-up for up to 6 months Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend ️ 6 weeks of vacation (30 working days!)

About us ATG (Autonomous Technologies Group) is an AI lab deploying frontier reasoning systems within financial markets. Founders: Early GPU cloud (9 figure exit). Investors: Garry Tan / YC + Founder of one of the most successful quant funds, BoxGroup (Plaid, Ramp, Stripe), top-tier angels. Responsibilities Design and implement core quantitative systems for allocation, risk, and optimization in complex, real-world environments. Formulate and analyze multi-objective optimization problems (e.g., risk/return, constraints, transaction and implementation frictions) and turn them into robust, solvable formulations. Develop simulation, backtesting, and evaluation frameworks to understand system behavior under varying regimes and stress scenarios. Collaborate closely with engineers and product to integrate quantitative logic into reliable, maintainable services and APIs. Prototype new approaches quickly, run experiments, and iterate based on empirical results. Establish standards for model quality, validation, monitoring, and numerical stability in production systems. Document assumptions, constraints, and design rationales so the broader team can build on your work. Requirements Strong quantitative background (e.g., mathematics, physics, computer science, operations research, statistics, or similar). Deep expertise in at least one of: optimization (convex/non-convex), stochastic processes, numerical methods, or quantitative finance. Experience designing and implementing quantitative or algorithmic decision systems (research + production, not just toy models). Proficiency in Python and familiarity with scientific/ML tooling (NumPy, JAX/PyTorch, Pandas, etc.); experience with a systems language (C++/Rust/Go) is a plus. Ability to reason from first principles, simplify complex objective spaces, and choose the right level of modeling detail for the problem. Track record of turning mathematical ideas into clean, reliable, well-tested code that can run in production. Comfort working with real-world data (noisy, incomplete, biased) and building pipelines and checks around it. Habit of staying current on advances in optimization, quantitative methods, and AI tools-and using those tools (Cursor, Copilot-style assistants, etc.) to increase velocity while keeping code quality high. Why Join ATG We're building a small, elite team. If you're excited by AI, markets, and building from first principles, we'd love to meet you. Work on AI with a massive market opportunity Early team of repeat founders backed by top investors High agency, talent dense, zero bureaucracy

About Us: Modal provides the infrastructure foundation for AI teams. With instant GPU access, sub-second container startups, and native storage, Modal makes it simple to train models, run batch jobs, and serve low-latency inference. Companies like Suno, Lovable, and Substack rely on Modal to move from prototype to production without the burden of managing infrastructure. We're a fast-growing team based out of NYC, SF, and Stockholm. We've hit 9-figure ARR and recently raised a Series B at a $1.1B valuation. We have thousands of customers who rely on us for production AI workloads, including Lovable, Scale AI, Substack, and Suno. Working at Modal means joining one of the fastest-growing AI infrastructure organizations at an early stage, with many opportunities to grow within the company. Our team includes creators of popular open-source projects (e.g. Seaborn, Luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We are looking for strong engineers with experience and interest in designing, building, and maintaining the novel, high-performance systems that make up our serverless platform. Requirements: * 5+ years of experience writing high-quality production code * Experience building high-performance distributed systems at a large scale (the more battle scars, the better) * Strong cloud skills * Strong knowledge of low-level operating system foundations (Linux kernel, file systems, containers, etc.) * Experience with performance engineering (tell us a story of when you shaved off a few milliseconds!) * Ability to work in-person in our NYC office. * Prior experience with Rust is nice to have, but not required.

Who are we? Our mission is to scale intelligence to serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what's best for our customers. Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products. Join us on our mission and shape the future! Why this role? We're looking for an experienced machine learning researcher / engineer who can help us push the frontiers of agentic LLM systems. As a part of the team, you will help drive exploration and development of agentic techniques and have the opportunity to build the models that power our agentic solutions. Agentic LLM systems are being deployed widely across enterprise companies including through Cohere's North platform. In this role, you'll be working with a team developing new strategies for training models for advanced agent capabilities including reasoning, tool use, and memory. This includes developing data-generation techniques for post-training (SFT and RL*) Cohere's models. Model advancements have direct impacts on North and other Cohere products creating an exciting opportunity where core model development leads to direct product advancements. Please Note: We have offices in London, Toronto, San Francisco, and New York, but we also embrace being remote-friendly! Our preference for this role is that you are based in Eastern Time, New York office, remote or hybrid works! As a Member of Technical Staff for Agents Modeling you will: Design and develop novel agentic solutions Improve upon SOTA on hard agentic tasks Research the next-generation of on-line learning-from-experience self-improvement Work with partner teams (Reasoning, Post-training, Pre-training, etc.) to improve performance of agentic system Work with an amazing team of researchers and engineers pushing the boundaries You may be a good fit if you have: Have a PhD in computer science or related field or similar industry research experience Strong software engineering skills Proficiency in Python and experience with ML-related code (e.g., pytorch, numpy, etc.) Experience with LLMs and agentic frameworks Experience with post-training LLMs (SFT, PEFT, or RL*) Experience with building synthetic data generation pipelines If some of the above doesn't line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs. Full-Time Employees at Cohere enjoy these Perks: 🤝 An open and inclusive culture and work environment 🧑 💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks 🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for up to 6 months 🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement 🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend ✈️ 6 weeks of vacation (30 working days!)

About us ATG (Autonomous Technologies Group) is an AI lab deploying frontier reasoning systems within financial markets. Founders: Early GPU cloud (9 figure exit). Investors: Garry Tan / YC + Founder of one of the most successful quant funds, BoxGroup (Plaid, Ramp, Stripe), top-tier angels. About the Role You'll build core user interfaces, APIs, and backend infrastructure. You'll operate across the stack: designing, shipping, and maintaining everything from frontend product experiences to backend services that power strategy, data, and operations. This role is ideal for someone who likes shipping end-to-end, cares about craft, and enjoys working in a small team with high ownership. Responsibilities Design, build, and maintain frontend applications (web and/or mobile) and backend APIs powering core product experiences. Work closely with research/quant and product teams to turn investment logic, simulations, and data pipelines into reliable product surfaces. Build internal dashboards, tools, and data visualizations for monitoring portfolios, experiments, and operational workflows. Own features end-to-end: architecture, implementation, testing, deployment, observability, and iteration. Maintain high standards for code quality, usability, reliability, and performance. Improve developer velocity through good systems: CI/CD, tooling, clear interfaces, and pragmatic documentation. Requirements 3+ years experience as a full stack engineer (startup, product team, or high-ownership environment). Strong skills in modern JavaScript/TypeScript frameworks (e.g., React, Next.js) and backend development (Python, Node, Go, etc.). Experience building, testing, and deploying production web applications. Experience designing and integrating APIs (REST and/or GraphQL), plus strong understanding of data modeling and system boundaries. Solid fundamentals: debugging, performance, and reliability in real-world systems. Ability to work autonomously, prioritize well, and thrive in a fast-moving, research-driven culture. Comfort leveraging modern AI coding tools (Cursor, Claude Code, Codex, etc.) to increase output while maintaining maintainability and structure. (Optional) Experience with mobile development (React Native, Swift, Kotlin, Flutter). (Optional) Experience with financial systems, portfolio data, or high-stakes UX. Why Join ATG We're building a small, elite team. If you're excited by AI, markets, and building from first principles, we'd love to meet you. Work on AI with a massive market opportunity Early team of repeat founders backed by top investors High agency, talent dense, zero bureaucracy