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  • Enterprise Performance Management (EPM) - Senior - Tech Consulting - Location Open

    Ernst & Young Oman 4.7company rating

    Member, technical staff job in Stamford, CT

    At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Consulting - Tech Consulting - FinTech - Enterprise Performance Management (EPM) - Senior Whole industries have been disrupted and transformed in recent years by changing technologies, advanced analytics and the need for better insight. EY is helping businesses realize the value they can gain from their IT investments. We deliver exceptional client service - providing advice on how technology, finance process efficiency and enterprise intelligence contribute to performance improvement, as well as how IT can act as a multiplying effect during major program transformations. The opportunity Our EPM team helps apply cutting-edge technology and techniques to bring solutions to our clients. You will help our clients navigate the complex world of Enterprise Performance Management through detailed process design and implementation support. Our Advisory Seniors specialize in serving EY clients by guiding them through complex systems of forecasting, planning, budgeting and the integration with analytical and reporting solutions. We'll look to you to provide our clients with a unique business perspective on how these processes can transform and improve their entire organization - starting with key business issues they face. This is an expanding area of our practice with high growth and plenty of opportunities to enhance the skillsets of individuals looking to build a career. As a Senior Solution Architect, you will be the linchpin in translating business requirements into technical realities. Your expertise will shape the architecture of solutions to align with business goals, making a significant impact on our project delivery. You'll find yourself evaluating solution architectures, coordinating junior colleagues, and interacting with clients daily, possibly leading client workstreams. Your key responsibilities In this role, you will be at the forefront of bridging business and technology, with responsibilities including: Translating business requirements into technical solutions Assessing the impact of technical decisions on business outcomes Contributing to project delivery and tracking status Engaging with clients and leading workstreams as needed Supporting sales activities and maintaining engagement economics Skills and attributes for success To thrive in this role, you will need a blend of technical proficiency and business acumen, including: User feedback and reflection to develop self-awareness, personal strengths and address development areas. Cultivating and managing business development opportunities. Developing and maintaining long- term client relationships and networks. Demonstrate critical thinking and the ability to bring order to unstructured problems. Review your deliverables and that of others for quality, accuracy, and relevance. See and embrace opportunities which give exposure to different situations, environments, and perspectives. Managing expectations of client service delivery. Application and Tool Analysis Cloud Computing Architecture Data Architecture Design and Modeling Solution Architecture Design Relationship Management Communication Complex Problem-Solving Critical Thinking Emotional Agility Hybrid Collaboration To qualify for the role, you must have A Bachelor's degree 2-4 years of relevant experience A minimum of three years' experience in providing consulting experience Working knowledge of a component of the modern EPM solutions landscape (e.g. Anaplan, Oracle EPM, FCCS, PBCS, EPBCS, ARCS, OneStream, Tagetik) Proven track record of understanding business challenges and translating them into value-add solutions - strong analytical and problem- solving skills - actively participate in brainstorming, identifying core issues and effectively finding and using data to manage complex analysis Our candidates have a variety of backgrounds including: Management reporting Long Range planner Strategic planner Capital planner Implementation consultant Strong analytical and problem- solving skills as well as excellent oral and written communication skills A willingness to travel to meet client needs; travel is estimated at 80%. Ideally, you'll also have Degree emphasis in Finance, Accounting, Economics, Business, Computer Science, MIS, or IT preferred Strong ability to build and manage relationships Effective communication skills Trust-building capabilities with clients What we look for We are looking for top performers who excel in a dynamic environment, have a passion for technology and architecture, and are eager to drive innovation. Your ability to solve complex problems, think critically, and collaborate effectively will set you apart as a candidate. What we offer you At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more . We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $112,300 to $185,400. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $134,700 to $210,700. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. Are you ready to shape your future with confidence? Apply today. EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ************************** . #J-18808-Ljbffr
    $134.7k-210.7k yearly 4d ago
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  • Staff Software Engineer, Enterprise GenAI

    Scale Ai, Inc. 4.1company rating

    Member, technical staff job in New York, NY

    Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our product in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability. You will: Own large new areas within our product Work across backend, frontend, and interacting with LLMs and ML models Deliver experiments at a high velocity and level of quality to engage our customers Work across the entire product lifecycle from conceptualization through production Be able, and willing, to multi-task and learn new technologies quickly Ideally you'd have: 7+ years of full-time engineering experience, post-graduation Experience scaling products at hyper growth startups Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies Proficient in Python or Javascript/Typescript, and SQL Experience with Kubernetes Experience with major cloud providers (AWS, Azure, GCP) Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$248,400-$310,500 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
    $248.4k-310.5k yearly 4d ago
  • Staff Software Engineer, Product Safety

    Pinterest 4.6company rating

    Member, technical staff job in New York, NY

    Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible. What you'll do: Design, develop, and maintain high-performance, reliable, and scalable backend systems for private profiles, user blocking and other user safety features Collaborate with front-end developers, UX/UI designers, product managers, and other stakeholders to deliver high-quality products Mentor and guide junior engineers, fostering a culture of continuous learning and improvement Participate in code reviews, architectural discussions, and technical roadmap planning What we're looking for: 8+ years of experience in software development, with a strong focus on backend engineering Bachelor's degree in a relevant field such as Computer Science, or equivalent experience Expertise in programming languages such as Python, Java, Go, or Node.js Extensive experience with RESTful API design and development Experience with front-end development Bachelors/Masters Degree in Computer Science or a related field Strong problem-solving skills and the ability to design scalable, high-performance systems In-Office Requirement Statement: This role will need to be in the office for in-person collaboration 1-2 times/per quarter and therefore can be situated in our offices in either Bay Area, Seattle, New York, or Los Angeles. Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-HYBRID At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$208,454-$364,795 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
    $208.5k-364.8k yearly 5d ago
  • Member of Technical Staff, DCIM

    Fluidstack

    Member, technical staff job in New York, NY

    At Fluidstack, we're building the infrastructure for abundant intelligence. We partner with top AI labs, governments, and enterprises - including Mistral, Poolside, Black Forest Labs, Meta, and more - to unlock compute at the speed of light. We're working with urgency to make AGI a reality. As such, our team is highly motivated and committed to delivering world-class infrastructure. We treat our customers' outcomes as our own, taking pride in the systems we build and the trust we earn. If you're motivated by purpose, obsessed with excellence, and ready to work very hard to accelerate the future of intelligence, join us in building what's next. About the Role Fluidstack, a leading cloud provider, is looking for a Member of Technical Staff, DCIM to build and refine internal tooling that streamlines how we buy, track, deploy, and operate data-center hardware. You will develop asset-management, inventory, visualization, and operational-insight tools for engineering, operations, and support teams. Working cross-functionally, you'll deliver scalable, reliable, user-friendly solutions while mentoring peers and shaping our technical direction. Focus DCIM tooling & efficiency - Create purpose-built software for asset and inventory management, digital twins, deployment automation, and operational dashboards; partner with the data team to surface actionable insights. Support critical infrastructure - Work with engineering to define and ship software that accelerates the build-out and scaling of Fluidstack data centers. Foster technical excellence - Mentor engineers and uphold high standards in architecture, design, and code reviews. Build vs. buy decisions - Collaborate with product to weigh in-house development against third-party options for scalability, cost, and efficiency. Cross-functional collaboration - Align with support, operations, and product teams to ensure tools meet growth and operational needs. Scalability & reliability - Design fault-tolerant systems that stay resilient as our footprint grows. Promote best practices - Champion modern development workflows, CI/CD, and infrastructure-as-code to boost speed and quality. End-to-end ownership - Lead projects from concept through deployment, delivering measurable impact. About You 5+ years coding in Go, Rust, Java, C++, or similar, with deep knowledge of distributed-system design patterns and scalability. Experience with NetBox for managing our multi-datacenter network infrastructure Hands-on with Docker, Kubernetes, Ansible, Terraform, and modern CI/CD pipelines (GitLab, GitHub Actions, CircleCI). Solid grasp of data structures, algorithms, and concurrency/multithreading. Comfortable with TCP/IP, network programming, and Unix/Linux environments. Balance trade-offs to deliver scalable, reliable, and efficient infrastructure. Build strong cross-team relationships and drive shared success. Bachelor's in Computer Science (or equivalent) and 5-8+ years professional experience. Convey complex ideas succinctly to technical and non-technical stakeholders alike. Salary & Benefits Competitive total compensation package (salary + equity). Retirement or pension plan, in line with local norms. Health, dental, and vision insurance. Generous PTO policy, in line with local norms. The base salary range for this position is $200,000 - $250,000 per year, depending on experience, skills, qualifications, and location. This range represents our good faith estimate of the compensation for this role at the time of posting. Total compensation may also include equity in the form of stock options. We are committed to pay equity and transparency. Fluidstack is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Fluidstack will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. You will receive a confirmation email once your application has successfully been accepted. If there is an error with your submission and you did not receive a confirmation email, please email ********************* with your resume/CV, the role you've applied for, and the date you submitted your application-- someone from our recruiting team will be in touch.
    $200k-250k yearly Auto-Apply 7d ago
  • Member of the Technical Staff -- Full Stack

    Stuut

    Member, technical staff job in New York, NY

    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 - Fullstack to design, build, and scale end-to-end systems that power Stuut's platform for B2B financial operations. You'll work closely with Product, Design, Backend, and Frontend teams, as well as customers to deliver seamless, high-performance experiences across the entire stack. This is a high-impact role for someone who can own projects from inception through scaling, think across systems, and deliver reliable, user-centered solutions. You'll play a critical role in shaping Stuut's engineering culture and product experience, ensuring our full stack systems are both elegant and scalable as we grow. What You'll Do Drive Stuut's full stack technical vision through cross-functional collaboration across product, design, and engineering. Lead complex projects spanning frontend, backend, and system integrations, from API design to polished user experiences. Build end-to-end features - from database schema to production-ready UI - ensuring seamless data flow, scalability, and performance. Design and implement robust backend services, APIs, and microservices while crafting intuitive, responsive frontend experiences. Continuously improve engineering processes, tools, and systems to scale productivity, reliability, and velocity across the stack. Recruit, mentor, and develop top engineering talent, fostering a culture of excellence, humility, and speed. Engage directly with customers to understand and solve complex workflow challenges through comprehensive full stack solutions. You Might Be a Fit If You… Have 5+ years of full stack engineering experience with a track record of delivering products at scale. Are highly skilled in Python and TypeScript, with experience building both robust backend services and modern frontend applications. Have strong expertise in database design, API development, and system architecture. Are proficient in modern frameworks like Vue.js, React, or Angular (frontend) and Django, FastAPI, Flask, or Node.js (backend). Have hands-on experience with cloud platforms (AWS, GCP, Azure), containerization, and CI/CD pipelines. Thrive in early-stage startup environments, eager to build systems and processes from scratch. Enjoy engaging directly with customers to shape technical solutions around real-world needs. Have experience mentoring engineers and shaping high-performing engineering cultures. Are committed to continuous learning and mastering your craft across the stack, with a focus on solving customer pain points through practical, scalable solutions. 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: $185K - $250K
    $185k-250k yearly 5d ago
  • Member of Technical Staff (SRE)

    Cockroach Labs 4.6company rating

    Member, technical staff job in New York, NY

    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
    $179k-236.9k yearly Auto-Apply 11d ago
  • Member of Technical Staff - ML Performance

    Modal 3.8company rating

    Member, technical staff job in New York, NY

    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.
    $104k-158k yearly est. Auto-Apply 60d+ ago
  • Member of Technical Staff, Banking Solutions (Fullstack Engineer)

    Anchorage Digital

    Member, technical staff job in New York, NY

    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.
    $90k-144k yearly est. 12d ago
  • Member of Technical Staff, Full Stack

    Chakra Labs

    Member, technical staff job in New York, NY

    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.
    $90k-144k yearly est. Auto-Apply 60d+ ago
  • Member of Technical Staff - Product Engineering (Full-Stack)

    Tensorzero

    Member, technical staff job in New York, NY

    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 are looking for a Member of Technical Staff who's hungry to learn and contribute across the stack. Early on, you'll contribute across the stack to ship the highest-impact user-facing features (e.g. TensorZero UI, applications of TensorZero). You'll work alongside and learn from experts in the field (e.g. ex-maintainer of the Rust compiler, ML researchers with thousands of citations). Much of your work will be open-source. 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 - The vast majority 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're comfortable driving large projects from inception to deployment (to start, TensorZero's 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. Hungry for personal growth - There are no speed limits at TensorZero. You're excited about learning and contributing across the stack. In-person in NYC - We work in-person five days a week in NYC. We work hard and obsess about the craft.
    $90k-144k yearly est. Auto-Apply 60d+ ago
  • Member of Technical Staff (All Levels) - Agent Data

    Basis Ai

    Member, technical staff job in New York, NY

    About Basis Basis equips accountants with a team of AI agents to take on real workflows. We have hit product-market fit, have more demand than we can meet, and just raised $34m to scale at a speed that meets this moment. Built in New York City. Read more about Basis here. About the Team The Agent Data team ensures Basis agents have accurate data at low latency to do their jobs. About the Role As an Agent Data engineer at Basis you'll own projects completely from scoping to delivery. You'll be the Responsible Party (RP) for the systems you design. That means you decide how to build them, how to measure success, and when they're ready to ship. We trust you to manage yourself. You'll plan your own projects, work closely with your pod, and take full responsibility for execution and quality. You'll build systems that serve every part of Basis: AI, product, and internal agents. And you'll make those systems fast, reliable, and easy to understand. What you'll be doing: Build and standardize our data platform Design data pipelines that ingest, validate, and transform accounting data into clean, reliable datasets. Define schemas and data contracts that balance flexibility with correctness. Build validation, lineage tracking, and drift detection into every pipeline. Create interfaces that make data discoverable, computable, and observable throughout the system. Model the domain as a system Translate accounting concepts into well-structured ontologies: entities, relationships, and rules. Create abstractions that help AI systems reason safely about real-world constraints. Design for clarity: make complex workflows understandable through schema, code, and documentation. Lead through clarity and technical excellence Own the architectural vision for your area and keep it consistent over time. Run effective design reviews that challenge assumptions and drive alignment. Mentor engineers on how to think about systems: from load testing to schema design to observability patterns. Simplify aggressively-removing accidental complexity and enforcing clean, stable abstractions. 📍 Location: NYC, Flatiron office. In-person team. Why Join Basis? We offer a competitive and thoughtful benefits package designed to support your physical, mental, and financial well-being: Health & Wellness: Premium Medical, Dental, and Vision coverage; Life Insurance; and 6 coaching & 6 therapy sessions through Spring Health. Flexibility: Unlimited PTO + 12 paid company holidays. In-Office Perks: Daily meal stipends, a fully stocked kitchen, and $300 toward your custom desk setup. Financial Benefits: Pre-tax commuter benefits and 401(k) retirement plan Team Culture: Monthly office activities and frequent optional team happy hours.
    $90k-144k yearly est. Auto-Apply 30d ago
  • Member of Technical Staff, TypeScript Engineer (Principal)

    Inkeep

    Member, technical staff job in New York, NY

    Our open-source Agent Platform is uniquely designed to make it easy for both engineers and non-technical teams to build agents on a single platform. Our customers include leading AI companies like Anthropic and Midjourney use our platform to build best-in-class AI experiences for their users and automate workflows for their teams. We're backed by Khosla Ventures and Y Combinator, growing quickly, and looking for exceptional engineers who want to work at the forefront of AI with a high-velocity team and are excited by open-source and TypeScript. About the role As a Staff Engineer, you'll own a large surface area of the product, both by being a product and system architect that's helpful to others on the team, as well as being a core individual contributor. You'll have significant ownership over how thousands of developers build AI agents, from API design to SDK ergonomics to the abstractions that make agentic systems easy to build. This is a high-leverage role where you'll: Own platform features end-to-end: architect, build, and maintain critical systems that our customers depend on. Lead technical and team direction: Serve as a leader and resource Shape the developer experience: design APIs, SDKs, and tools that developers love to use Build at the frontier and in public: work on cutting-edge agentic systems and see your work used in production at leading AI companies -- all while contributing to open source. Influence product direction: your technical and product insights will directly shape our roadmap Work directly with customers: understand how teams build AI agents and design elegant solutions for their needs What we're looking for Strong TypeScript expertise: 4+ years building full-stack products with TypeScript, with a deep understanding of end-to-end web fundamentals System design skills: you can architect APIs and systems that are elegant, scalable, and developer-friendly Product thinking: you care about the end-user experience and think through how people will actually use what you build Full-stack fluency: comfortable working across the stack, from APIs to SDKs to UIs High ownership: you want to own problems end-to-end, not just ship code Bonus points for Experience building with AI (prompts, evals, RAG, agentic workflows, etc.) Background in developer tools or B2B SaaS products Open source contributions or public projects that demonstrate your craft UX or design sensibility Our craft-driven culture We expect every engineer to have strong product intuition and to think through the complete user experience. If you love building for other developers and are excited about building end-to-end agentic systems, this role is a great fit. Why join us High impact: shape the platform that powers AI agents for leading companies Technical depth: work on complex, challenging problems at the frontier of AI Ownership: drive product, architectural, and technical decisions end-to-end Learning: get deep on how AI Agents work and what it takes to ship them in production
    $90k-144k yearly est. Auto-Apply 60d+ ago
  • Member of Technical Staff - Software Engineer

    Valthos

    Member, technical staff job in New York, NY

    Software Engineer Valthos Inc. Valthos is an applied biological intelligence company. We build and deploy software and biological AI systems to safeguard humanity. The same AI architectures that enable self-driving cars, land rockets with precision, and deliver expert-level reasoning are beginning to be deployed in biological design. To stay ahead, we must advance our arsenal of tools to capture and design against real-time sensitivities in nature's evolving mutational landscape. We are a group of mission-driven software engineers from Palantir and applied biological ML engineers from MIT's Broad Institute and DeepMind making the latest advances in computational biology accessible in the real-world for federal and commercial use. We are seeking full stack software engineers to design and implement a platform that will allow Valthos to bring frontier methods to the end users, scientific and technical. Your day-to-day experience will range from implementing complex distributed systems, managing container-based scalable infrastructure, building REST APIs, integrating open source solutions, understanding the needs of our users and adapting our software to suit. You'll collaborate closely with technical and non-technical counterparts to understand our developers' and customers' problems and build software and infrastructure to tackle them. The Role Work with the AI Engineers and Computational Biologists to design and build high-scale, opinionated APIs that are data/GPU intensive Prototype and develop interactive workflow UIs for life-science users Iterate on and create data visualization tools that provide users with model results and context to understand them Work with users to develop SDK for technical users Develop and maintain a secure cloud environment for Valthos data and results. Build distributed systems that efficiently/predictably process large-scale user data using both CPUs and GPUs Build and maintain the backend infrastructure required for scaling out storage and compute Design and build Valthos storage and search systems. Expect rapidly increasing scale and latency requirements. Develop and maintain the systems and services that underpin the productivity of our development teams. Everything from our internal dev environments to managing automated deployments to our production infrastructure. Qualifications (required) Experience implementing or working on distributed systems and their associated technologies (Kubernetes, Docker, etc) Working knowledge of the full application stack (Web UX frameworks, API design and development, data modeling, RDBs, etc). Preference for working in a fast-paced, autonomous environment Qualifications (preferred) Experience working with AWS or other IaaS providers. Experience working with large scale data and it's associated technologies (parquet, pandas, etc) Experience building data pipelines and asynchronous data processing Experience working with biological data (sequences) and bioinformatics tools Contributions to open-source projects If there is a fit, we'll schedule two technical interviews. The final step is an onsite in our office, where you'll work on a small project, discuss ideas, and work with the wider team.
    $90k-144k yearly est. Auto-Apply 60d+ ago
  • Member of Technical Staff

    Anterior

    Member, technical staff job in New York, NY

    Anterior is on a mission to transform healthcare administration, making it seamless and invisible so clinicians can focus on delivering care. We've built an AI-powered platform designed by clinicians, for clinicians, to simplify administrative workflows and improve patient outcomes. By combining clinical expertise with cutting-edge technology, we're revolutionizing healthcare operations with responsible AI. We're growing rapidly and are backed by world-class investors including Sequoia, New Enterprise Associates (NEA), and Neo along with notable angels including the founders of DeepMind, Google AI, and Inflection AI. You can learn more about us here. Anterior is improving the experience of healthcare for everyone. We're working on the cutting edge of using technology to make clinical decisioning frictionless. We're building exciting tech for huge customers and we trust in the foundations: keep it simple, build strong foundations and the rest will follow. The Team: At Anterior, engineers share a strong "sense of product" and solve meaningful problems that simplify healthcare workflows. We collaborate in multidisciplinary teams to deliver secure, scalable, and user-focused solutions guided by best practices and modular design. We value diverse experiences and skill sets, continually expanding our team to tackle modern healthcare's challenges with creativity and precision. About You You have a passion for doing things The Right Way, you believe Less is More, you want to focus on foundations of system design and architecture (pacelc, consistency guarantees), you care as much about the code you do not write, you're tired of the hype treadmill and care about the fundamentals. You have battle scars from overengineered and underperforming slop, and you care about writing code that lasts. We're hiring from infra to frontend, there is room all the way up and down the stack. Come share your proudest firefighting story with us in an interview, bring your GitHub, and let's see if we're a good fit. If you're a junior passionate about coding and hacking: it's always ok to apply, shoot us a link to some of your work and let's talk anyway Tech Langs: Python / Go / TS, React (and HTMX if you can help!) Infra: Nix, CDKTF, AWS What's in it for you This is an opportunity to join the formative stages of a company that is working with cutting-edge technology to have a meaningful impact in healthcare. We're at an exciting inflection point, and you will be working with a world-class team, will hold significant responsibility, and will be given the opportunity to learn and grow rapidly. We take pride in our strong apprenticeship and coaching culture. We expect our early hires to become leaders both within our company and across the industry. You'll be given a lot of responsibility and and the opportunity for rapid growth. Benefits: Early-Stage Equity Competitive, top-of-market salary 100% covered health, dental, and vision insurance Catered lunches and a stocked kitchen Commuter benefits Company Laptop along w/ tools you need to succeed Learning & development budget Team-building events Flexible PTO
    $90k-144k yearly est. Auto-Apply 60d+ ago
  • Member of Technical Staff

    Sciemo

    Member, technical staff job in New York, NY

    Sciemo builds AI for consumer goods: technology that helps businesses make faster, smarter, and more human decisions across the entire IBP process. From optimizing promotions to balancing demand and supply, Sciemo's platform transforms messy, siloed data into measurable business impact. Its AI agents assist decision-makers in real-time, turning complexity into clarity. We are headquartered in New York City. overview We are an industry-leading startup developing AI for consumer brands. Our solutions leverage machine learning, generative AI, agent-based systems, and graph technologies to get our customers to insights in seconds and to business impact in minutes using our products. We are looking for a Founding Member of Technical Staff to join our team guiding the development and deployment of complex ML systems reporting to Dan Wald, Co-Founder & CAIO. role As a Founding Member of Technical Staff, you will work in a hybrid capacity as both a Data Scientist and Machine Learning Engineer, you will play a pivotal role in designing, building, and deploying the intelligence behind our AI products. You'll work across the full spectrum of applied AI-spanning data science, machine learning, and large-scale production engineering. This hybrid role requires both deep expertise in developing innovative models and the engineering discipline to deploy and maintain them in robust, scalable systems. You'll collaborate closely with data engineers, product leads, backend engineers, and customer-facing teams to ensure that our AI systems deliver measurable value in real-world environments. As one of the earliest technical hires, you will help define our AI strategy, set technical standards, and establish best practices for applied AI at scale. responsibilities Develop and Deploy AI Systems Architect, build, and deploy ML/GenAI products on cloud infrastructure (AWS or similar). Design and implement end-to-end AI workflows: data ingestion, feature engineering, modeling, evaluation, and deployment. Create automated pipelines for continuous learning, model promotion, and performance monitoring. System Architecture & Reliability Lead the design of ML orchestration frameworks (Airflow, Kedro, ZenML, Flyte) to ensure reproducibility and scalability. Oversee deployment of large-scale and multi-agent AI systems with high reliability and fault tolerance. Continuously optimize workflows for efficiency, robustness, and performance in production. Applied Data Science & Business Impact Translate complex business problems into AI solutions, including data collection, experiment design, and roadmap planning. Develop interpretable, modular, and scalable ML systems that deliver measurable business value. Work directly with customers and stakeholders to ensure deployed systems achieve their intended impact. Innovation & Thought Leadership Stay current with advancements in AI/ML, including LLMs, diffusion models, graph AI, and agent architectures. Propose and prototype new approaches for integrating emerging technologies into production products. Develop methods to quantify and communicate AI performance and business ROI. Promote responsible, ethical, and impactful AI practices across the organization. all about you Proven track record of launching AI/ML products into production. Experience with core ML/AI tools: Python, PyTorch, TensorFlow / Keras, scikit-learn, SQL, Spark. Experience writing production-grade Python (object- and function-oriented). Hands-on expertise with large-scale ML systems, GenAI (LLMs, diffusion), agents, and graph-based models. Experience designing and managing ML orchestration workflows and versioned pipelines (Airflow, ZenML, Kedro, dbt, etc.). Strong problem-solving skills, adaptability, and a “hacker” mentality. Excellent communication skills-able to work with both technical and non-technical stakeholders. Demonstrated thought leadership and innovation in applied AI. benefits & perks Check out our one pager! location Hybrid role based in New York City; open to remote U.S. candidates willing to travel monthly to our NYC office. interview rounds Phone Screen Peer Interview Founders' Interview equal opportunity employer We are an equal opportunity employer and consider applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disability, veteran status, or any other characteristic protected by law. We actively encourage diversity, inclusion, and equitable hiring practices. If you require accommodations during the hiring process, please reach out to our recruitment team at **************
    $90k-144k yearly est. Auto-Apply 60d+ ago
  • Member of Technical Staff, Multimodal Understanding (Visual / Audio)

    xAI

    Member, technical staff job in New York, NY

    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 engineers 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.
    $90k-144k yearly est. 22d ago
  • Member of Technical Staff

    Deeptune

    Member, technical staff job in New York, NY

    Deeptune builds training gyms for AI agents. We work with frontier AI labs to help them train the next generation of agentic models. We're backed by world-class investors and are closing our Series A in the coming weeks, have a world-class founding team, and have crossed $10M ARR in the last six months, with plans to 10x in 2026. training gym n /ˈtreɪnɪŋ dʒɪm/ A simulation environment where AI can practice doing tasks (like coding or making a spreadsheet) so it can learn and get better over time. About you You're a strong developer across backend and infrastructure (Python, Go, TypeScript, etc.) with a deep interest in agentic AI. We care more about what you've done, not how long you've been doing it. You've been a founding engineer, founded your own company, or had a major impact at a top-tier company, and you're ready to join an early-stage team. You are motivated by ownership, impact, and building frontier tech. Your work is a craft you want to master. You thrive in ambiguity and love hard problems. You appreciate diverse perspectives and uncommon ideas. You are excited about building in-person, 5 days a week, from our office in Union Square NYC. We encourage you to apply even if you don't perfectly match this description, but believe you would be a great fit. Comp & Equity: $200K-300K base Very strong equity Benefits 100% paid medical and dental coverage Professional development budget Daily team lunches Commuter benefits Unlimited PTO Interview process Reach out and let us know why you're interested Intro call with Tim, our founder Meet with a member of technical staff Join us onsite for a technical interview Offer
    $90k-144k yearly est. Auto-Apply 60d+ ago
  • Member of Technical Staff - ML Engineer

    Rad Hires

    Member, technical staff job in New York, NY

    Member of Technical Staff - ML Engineering Note: This role is 100% on-site in NYC About the Company This fast-growing NYC-based AI startup is revolutionizing the accounting industry by building a team of AI agents that execute real-world accounting workflows. Founded in 2023 and headquartered in the Flatiron district, the company has already: Raised $34M from top-tier investors including leaders from the ML and fintech sectors. Achieved product-market fit with demand exceeding current capacity. Experienced 10x revenue growth in just the past 5 months. They operate on the cutting edge of what's technically possible, assembling top minds from ML, engineering, and accounting. Joining now means becoming an early member of a small, high-ownership team shaping the future of AI in enterprise systems. What You'll Do As a Member of Technical Staff on the World Modeling team, you will: Design and build the “world” that the company's AI agents interact with, modeling interconnected systems and abstractions. Develop frameworks and coding structures that enable AI agents to understand and navigate complex real-world workflows (e.g., accounting tasks). Define rules, constraints, and context in which AI agents operate. Collaborate with top engineers, ML researchers, and domain experts in an interdisciplinary team. Take ownership of projects end-to-end, from design to production deployment. Mentor and be mentored by other engineers as the team scales rapidly. Role Requirements Experience & Skills 4-8 years of experience building complex systems (Python preferred). Strong background in Machine Learning fundamentals, with a first-principles mindset. Deep experience modeling interconnected systems and reasoning about trade-offs and constraints. Previous experience as an early technical member at a fast-paced startup. Degree in Computer Science, Physics, Math, or Statistics (preferably from a top university). Attributes Intense curiosity and drive to solve hard, complex problems. Thrives in a high-ownership, high-speed startup environment. Eager to work in-person 5 days/week with a cross-disciplinary team. Dedicated to mentoring and collaboration. Compensation & Benefits Base Salary: $150K - $300K Equity: Highly competitive, well above market Comprehensive health, dental, and vision benefits Visa sponsorship available (all types) Opportunity to build on the cutting edge of AI alongside world-class colleagues Tech Stack Languages: Python (primary), with potential for other languages as needed Focus Areas: Machine Learning, agentic systems, large-scale system modeling, data infrastructure Interview Process Intro Call Initial Screen Technical Interview 1 Technical Interview 2 Onsite Interview (3-4 hours) Offer Hiring Number of Vacancies 5 positions available
    $90k-144k yearly est. 60d+ ago
  • Member of Technical Staff, Model Efficiency

    Cohere 4.5company rating

    Member, technical staff job in New York, NY

    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!)
    $103k-158k yearly est. 60d+ ago
  • Member of Technical Staff (Data)

    ATG 4.2company rating

    Member, technical staff job in New York, NY

    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, build, and maintain the robust data pipelines and infrastructure required for large-scale AI research. Your work will ensure that researchers and engineers have clean, reliable, and high-quality data for every experiment. Responsibilities Build and operate ETL pipelines for large, heterogeneous datasets. Develop and manage storage, cleaning, labeling, and data access infrastructure. Build tools for data quality, validation, and monitoring. Collaborate to create datasets and benchmarks for novel ML problems. Requirements Strong software engineering skills (Python, SQL, PySpark, data infra tools). Experience scaling data pipelines in cloud or hybrid environments. Ability to work with unstructured, messy, or adversarial data. Curiosity and rigor about data quality, privacy, and reproducibility. 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
    $104k-158k yearly est. Auto-Apply 60d+ ago

Learn more about member, technical staff jobs

How much does a member, technical staff earn in Oyster Bay, NY?

The average member, technical staff in Oyster Bay, NY earns between $73,000 and $178,000 annually. This compares to the national average member, technical staff range of $74,000 to $158,000.

Average member, technical staff salary in Oyster Bay, NY

$114,000
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