Member, technical staff jobs in Woodbridge, NJ

Position Overview: We are seeking an innovative and forward-thinking Director of Technology to lead the development and implementation of cutting-edge technology strategies for our firm. This individual will play a pivotal role in ensuring that our attorneys, professional staff, and clients benefit from best-in-class tools, systems, and processes. This role also requires hands-on involvement and oversight of day-to-day technology operations. The ideal candidate will have a proven record of driving digital transformation, leveraging emerging technologies, and positioning an organization at the forefront of innovation. NFC expects this position to be filled by a proactive leader who thrives in a fast-paced, collaborative, and high-performance environment. Hours: Full-Time; Hybrid Position Reports to: Chief Administrative Officer Classification: Exempt Position Key Responsibilities: Technology Leadership & Strategy Evaluate the firm's existing technology platforms and infrastructure to identify opportunities for improvement and modernization. Develop and execute the firm's technology roadmap, ensuring alignment with business goals, operational needs, client service values, and long-term growth objectives. Stay current on emerging technologies (AI, automation, data analytics, cybersecurity, etc.) and assess their potential impact on the firm's practice and delivery of client service. Serve as a trusted advisor to firm leadership on technology trends and innovation. Monitor technology metrics (e.g., uptime, security incidents, project status, etc.) and report to executive leadership. Systems Innovation and Implementation Lead the selection, configuration and implementation of new technology solutions that enhance transparency, communication, and collaboration among NFC team members, such as timekeeping and billing systems, case management and document management platforms, ESI platforms, CRM, HRIS and related firm administration systems. Identify and implement tools and platforms that provide NFC team members with real-time access to information, matter updates, and predictive insights to enhance client service. Partner with practice groups to implement legal technology solutions that streamline workflows, improve accuracy, and increase productivity. Continuously evaluate and improve the firm's digital client experience. Oversee data migration, system integration, and user adoption processes. Manage project timelines, vendor relationships, and cross-departmental coordination to ensure successful rollouts. Operational Oversight & Vendor Management Oversee the firm's IT infrastructure, cybersecurity, and data governance in partnership with the firm's MSP to ensure secure, efficient, and reliable operations. Supervise one on-site IT Engineer and provide guidance, coaching and support for local technical operations. Implement and maintain the firm's IT policies, change control, and vendor governance, including development of documentation, best practices, and standard operating procedures for firm-wide technology use. Serve as primary liaison to the firm's MSP (Managed Service Provider), managing vendor performance and service delivery. Manage technology projects, including timelines, budgets, vendor coordination, implementation, and training. In collaboration with the firm's MSP, respond to and complete IT-related due diligence questionnaires from clients and third parties. Review and manage vendor contracts, renewals, and SLA's with a focus on cost control, performance, and compliance. Team Development Drive user adoption and proficiency through effective communication, training and hands-on support. Foster a culture of innovation, agility, and continuous improvement. Collaborate cross-functionally to champion technology adoption throughout the firm. Skills Required: Bachelor's degree in Computer Science, Information Technology, or equivalent field required. Advanced degree and relevant certifications (e.g., PMP, CISM, CISSP, ITIL) preferred. 8+ years of progressive IT experience, including at least 3 years in a leadership capacity. Experience in a law firm, legal technology, or other professional services preferred. Strong knowledge of legal technology platforms such as document management systems, e-discovery tools, case management platforms, AI-driven research tools, etc. preferred. Demonstrated experience implementing enterprise-level digital transformation initiatives. Exceptional communication, leadership, and project management skills. Strong research and vendor assessment capabilities. Strong vendor management, budgeting, and project management expertise. Ability to navigate, manage, and collaborate with outsourced IT vendors. Advanced problem-solving skills and ability to work independently. High level of organization and attention to detail. Excellent written and verbal communication skills. Salary Range (based on full-time): $170K- $185K The Firm is providing this good faith salary range to comply with applicable law. The applicant's final salary will depend on a number of factors including the applicant's skills and experience. Performance and Hours-Based Bonuses: This position is also eligible for an annual discretionary performance-based bonus (percentage of salary). Benefits: This position is eligible for many additional benefits, including paid time off, sick time, medical and dental benefits, and 401K contribution (and matching). Location: Hybrid position based in NFC's Chatham, NJ office with occasional travel to the firm's other U.S. locations . Under NFC's current hybrid model (which is subject to change), employees are required to be in the office for a minimum of two days per week; in-office days are every Wednesday, with a second day on either Tuesday or Thursday. Must be flexible and willing to work in person as needed for projects, planning, collaboration, and vendor coordination.

Who We Are At Picnic, we are dedicated to building Infrastructure for Better Food. Our mission is to empower restaurateurs worldwide to thrive in the online food delivery market. By making food more affordable, of higher quality, and convenient, we're transforming the industry for everyone, from budding entrepreneurs opening their first restaurant to global quick-service chains. What You'll Do As a backend-focused Software Engineer at Picnic, you'll play a crucial role in our data-driven development team, helping to advance our state-of-the-art menu platform. Your responsibilities will include: Data-Driven Development: Contribute to our data-centric development efforts. Project Planning: Participate in strategic planning for various internal tools. Agile Methodologies: Implement and test software using agile methodologies. Collaborative Teamwork: Work closely with a team to enhance and support our technology. Code Contribution: Write, debug, maintain, and test code across multiple projects. Architectural Design: Design scalable systems with a focus on robust architecture. Continuous Improvement: Engage in continuous improvement initiatives. Innovation: Drive innovation within the team and support technological advancements at CSS. What the Team Focuses On Our menu platform (check our tech blog) offers comprehensive menu management features designed to streamline restaurant operations, enhance customer experiences, and optimize performance. It serves as a single source of truth for menus, seamlessly integrating with online channels such as DoorDash, UberEats, and Grubhub and offline point-of-sale (POS) systems like Square, Toast, and NCR. Key capabilities include updating menus with new items, pricing, and taxes, performing A/B testing on different structures, setting availability by channel, creating combos and promotions, managing ingredients and SKUs, and configuring operational hours. Additionally, our platform features automated linking to ensure POS and online menus are always synchronized, minimizing discrepancies. Boasting a 99.9% availability rate, our platform supports a vast network of brands in the US and worldwide, ensuring uninterrupted service. Over 100,000 restaurateurs use our platform daily to streamline their operations and consistently express high satisfaction. What We're Looking For Education: Bachelor's Degree in Computer Science or equivalent. Experience: 7-10 years of experience in a relevant role. Individual Contribution: Proven track record of significant contributions in previous roles, demonstrating your impact. Architectural Skills: Ability to design and create robust architecture from scratch and evolve existing systems. Communication Skills: Strong communication and presentation skills, with the ability to collaborate with non-engineering stakeholders. Technical Expertise: Experience designing and implementing scalable, reliable, and efficient distributed systems. Familiarity with Java / Go / Kotlin is required. Concurrency: Experience building systems that can execute multiple tasks while managing overlapping run-time and space complexities simultaneously. Application Maintenance: Experience in maintaining and extending large-scale, high-traffic applications. Why Join Us Growing Market: You'll be part of an $80 billion market projected to reach at least $500 billion by 2030 in the US alone. Industry Impact: Join a team that is transforming the restaurant industry and helping restaurants succeed in online food delivery. Collaborative Environment: Benefit from the support and guidance of experienced colleagues and managers, who will help you learn, grow, and achieve your goals. Work closely with other teams to ensure our customers' success. Additional Information This role is based in our NYC office. We look forward to sharing more about a meaningful career at Picnic!

Department: Technology Reports to: Chief Technology Officer Type: Full-time About the Role The Technology Strategy & Delivery Manager partners directly with the CTO to deliver on OnePoint BFG Wealth Partners strategic technology roadmap. This role blends operational delivery with strategic exploration - ensuring projects are executed effectively while identifying future opportunities to strengthen our technology, data, and security posture. Ideal candidates thrive in dynamic environments, demonstrate strong initiative, and can build structure from ambiguity. Key Responsibilities Project Management & Delivery Plan, execute, and deliver concurrent technology initiatives across multiple platforms and departments. Manage project timelines, RAID logs, and stakeholder accountability. Partner with internal and external teams to ensure timely execution and alignment with firm priorities. Apply informed judgment when escalating or resolving blockers, balancing speed, security, and business impact. Strategic Exploration & Innovation Collaborate with the CTO to evaluate and pilot emerging technologies that support scalability, security, or efficiency. Assess and implement platform integrations and automation opportunities, particularly within Microsoft 365, Salesforce, and Okta environments. Translate conceptual ideas into structured workstreams with measurable outcomes. Cross-Functional Leadership Act as connective tissue between Technology, Data, Cybersecurity, and Operations functions. Lead coordination across teams to align roadmaps, capacity, and execution sequencing. Facilitate sprint cadences, prioritization meetings, and project retrospectives. Cybersecurity & Governance Support Support execution of cybersecurity frameworks and controls aligned with NIST and internal policies. Partner with MSPs and vendors to ensure compliance, redundancy, and risk mitigation. Participate in entitlement reviews, vendor due diligence, and incident response readiness. Reporting & Communication Deliver concise, executive-level updates on project progress, innovation efforts, and emerging risks. Maintain documentation of key decisions, lessons learned, and repeatable frameworks to improve team velocity and consistency. Qualifications Required 5+ years of experience in technology implementation or project management within a professional services or financial environment. Demonstrated success managing cross-platform initiatives involving infrastructure, SaaS systems, or integrations. Strong interpersonal, communication, and executive presence skills. Comfort operating in ambiguity and structuring initiatives from concept to execution. Proficiency with Microsoft 365, Salesforce, Okta, Azure, and collaboration tools such as Asana. Why Join Us Work directly with the CTO to shape OnePoint BFG technology strategy and roadmap. Blend execution with exploration - lead projects while driving innovation. Be part of a collaborative, high-performing team that values initiative, accountability, and continuous improvement.

Job Description Mirage is the leading AI short-form video company. We're building full-stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage's products to reach their full creative and commercial potential. We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you'll have an opportunity to have an outsized impact on our products and our company's culture. Our Products Captions Mirage Studio Our Technology AI Research @ Mirage Mirage Model Announcement Seeing Voices (white-paper) Press Coverage TechCrunch Lenny's Podcast Forbes AI 50 Fast Company Our Investors We're very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more. ** Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) We do not work with third-party recruiting agencies, please do not contact us** About the role: Captions is seeking a Machine Learning Engineer to partner closely with our Researchers and bring large-scale multimodal video diffusion models into production. You'll be responsible for optimizing and deploying state-of-the-art generative models (tens to hundreds of billions of parameters) to deliver low-latency, high-throughput inference at scale. This is a unique opportunity to work on cutting-edge AI-spanning audio-video generation, diffusion architectures, and temporal modeling-and ensure these innovations reach millions of creators worldwide. Responsibilities: Inference & Deployment Develop high-performance GPU-based inference pipelines for large multimodal diffusion models. Build, optimize, and maintain serving infrastructure to deliver low-latency predictions at large scale. Collaborate with DevOps teams to containerize models, manage autoscaling, and ensure uptime SLAs. Model Optimization & Fine-Tuning Leverage techniques like quantization, pruning, and distillation to reduce latency and memory footprint without compromising quality. Implement continuous fine-tuning workflows to adapt models based on real-world data and feedback. Production MLOps Design and maintain automated CI/CD pipelines for model deployment, versioning, and rollback. Implement robust monitoring (latency, throughput, concept drift) and alerting for critical production systems. Performance & Scaling Explore cutting-edge GPU acceleration frameworks (e.g., TensorRT, Triton, TorchServe) to continuously improve throughput and reduce costs. Requirements: Technical Expertise Proven experience deploying deep learning models on GPU-based infrastructure (NVIDIA GPUs, CUDA, TensorRT, etc.). Strong knowledge of containerization (Docker, Kubernetes) and microservice architectures for ML model serving. Proficiency with Python and at least one deep learning framework (PyTorch, TensorFlow). Model Optimization Familiarity with compression techniques (quantization, pruning, distillation) for large-scale models. Experience profiling and optimizing model inference (batching, concurrency, hardware utilization). Infrastructure Hands-on experience with ML pipeline orchestration (Airflow, Kubeflow, Argo) and automated CI/CD for ML. Strong grasp of logging, monitoring, and alerting tools (Prometheus, Grafana, etc.) in distributed systems. Domain Experience Exposure to diffusion models, multimodal video generation, or large-scale generative architectures. Experience with distributed training frameworks (FSDP, DeepSpeed, Megatron-LM) or HPC environments. Benefits: Comprehensive medical, dental, and vision plans 401K with employer match Commuter Benefits Catered lunch multiple days per week Dinner stipend every night if you're working late and want a bite! Grubhub subscription Health & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc) Multiple team offsites per year with team events every month Generous PTO policy Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please note benefits apply to full time employees only. Compensation Range: $200K - $300K

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.

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

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. The frontend team is responsible for four key areas of Anchorage's product surface - the KYC onboarding application, the internal web dashboard, and the external facing client dashboard. We work to add new functionality to, support existing functionality for, and optimize each of these codebases. 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 Front End Software Engineering role. You will be coached, mentored and guided to grow your capabilities in 4 major areas: Technical Skills: * Create an intuitive user experience that simplifies complex data into digestible, actionable insights. * Build high fidelity data visualizations from the ground up, including: maps, charts, graphs, videos, and biometrics. Complexity and Impact of Work: * Find the right balance between progress (i.e. shipping quickly) and perfection (i.e. measuring twice). * Work on the front lines of the blockchain/crypto movement and SecOps innovation. * Ship code that will impact the global economy. Organizational Knowledge: * Foster an efficient deterministic testing culture, with an emphasis on minimizing tech debt and bureaucracy. * Collaborate cross-functionally with everyone. * Review code across the entire stack and engineering organization while actively participating in product development. * Help scale the team. Communication and Influence * Influence architecture/product roadmap - have a seat at the table. You may be a fit for this role if you: * Have real world experience building web applications/UI from scratch and supporting them over a meaningful period of time. * Have mastered at least one JavaScript framework (ex. React.Js, Angular.Js, Vue.Js, Ember, etc.) * Genuinely care about code quality and test infrastructure. * Prioritize end-user experience and business value over "cool tech." * Have developed "computer science fundamentals", i.e. concurrency, algorithms, and data structures (Formal CS degree NOT required). * Self-describe as some combination of the following: creative, humble, ambitious, detail-oriented, hardworking, trustworthy, eager to learn, methodical, action-oriented, and tenacious. Although not a requirement, bonus points if: * You have production experience with web security. * You've built a Chrome extension. * In your mind the word "crypto" stands for cryptography, not cryptocurrency. * You read blockchain protocol white papers for fun, and stay up to date with the proliferation of cryptoasset innovations. * You have a background in the finance industry. * You were emotionally moved by the soundtrack to Hamilton, which chronicles the founding of a new financial system. :) 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-$230,000 - 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.

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 We're launching a fast-moving engineering team focused on applying AI to one of the most complex and underserved challenges in infrastructure: database migrations. Migrations today are slow, manual, and risky-especially when they involve legacy stored procedures and deeply embedded business logic. Our goal is to radically simplify this journey by building intelligent tools that can translate, evaluate, and automate the hardest parts of moving data across systems. As a founding member, you'll help prototype and launch cutting-edge systems such as: Build intelligent AI agents to modernize legacy SQL: Develop agents powered by LLMs that can analyze and convert complex legacy SQL schemas and procedural logic into scalable, CockroachDB-native equivalents-unlocking modernization at scale for enterprises with deeply entrenched database systems. Design an AI-powered migration strategist: Architect an LLM-driven engine that intelligently scans source schemas and real-world workload patterns to produce actionable, tailored migration plans. This system will go beyond static analysis, offering smart, dynamic guidance for what to migrate, how to do it, and what to watch out for-bringing clarity and confidence to a traditionally risky process. This is a unique opportunity to apply AI/ML to deep, real-world problems and to operate like a startup within a product-driven company. If you're passionate about building intelligent systems that solve meaningful problems-and want to move fast, own your work, and help define a new frontier-we'd love to hear from you. You Will Validate ideas through experimentation: Design and run focused experiments to explore how today's AI tools can help us deliver real, incremental value in the migrations space. Test and iterate with AI approaches: Explore APIs like OpenAI and Anthropic, refine prompts, and tune context windows to optimize how LLMs perform on procedural translation and analysis tasks. Partner with domain experts: Collaborate closely with our migrations technical field community to deeply understand the pain points users face throughout the migration journey. Prototype fast, learn faster: Build proof-of-concept tools and agents from your findings, then use data and feedback to shape what comes next. Track progress and define success: Establish and monitor clear evaluation criteria (like LLM accuracy or usability metrics) to guide the validation process. Build for scale: When experiments show promise, turn them into scalable systems using Go, Python, and modern cloud infrastructure. Explore advanced patterns: When the time is right, dive into more sophisticated approaches like multi-step reasoning, agentic workflows, or integrating with our internal control planes (e.g., MCP). The Expectations As an early team member, you'll be hands-on shaping how we apply AI to one of the most challenging areas in data infrastructure: database migrations. You'll move quickly from experimentation to implementation, working closely with users and engineers to build real, usable tools that make a difference. In the first month, you'll be up to speed on the complexity of real-world database migrations, the current AI-native development approaches we use, and the suite of tools already in place. You'll begin running your first experiments, identifying early signals for what might work. After 3 months, you'll have validated key assumptions around how AI can reduce migration friction and complexity. You'll be actively prototyping new tools and workflows, working closely with internal stakeholders, and helping define the roadmap based on real results. You Have Experimental mindset: You're energized by ambiguous problems, rapid prototyping, and discovering solutions through data-driven experimentation AI/ML technical foundation: Experience with LLMs, prompt engineering, and model evaluation through professional work, significant side projects, or deep technical exploration Strong programming skills: Proficiency in Go, Python or similar languages, with the ability to quickly learn new technologies and APIs Greenfield experience: Background building new products, prototypes, or research projects where the solution path wasn't predefined Collaborative problem-solving: Experience working directly with internal stakeholders, gathering requirements, and iterating based on user feedback Technical communication: Ability to explain complex experimental results and technical concepts to diverse audiences Experience level: Ideally 7+ years of software engineering experience, with hands-on work in AI/ML. The Team Rima Deodhar - Senior Manager, Engineering Rima joined Cockroach Labs in 2021 and leads the CockroachDB Application and Developer Experience organization, which includes the Disaster Recovery, CDC, and Migrations teams. She brings over a decade of experience in large-scale, distributed systems. Outside of work, Rima enjoys reading, cooking, and traveling with her family. Isaac Wong - EVP of R&D Isaac is responsible for the health of the engineering organization at Cockroach Labs. He partners closely with teams to ensure we have a balanced culture that promotes quality and innovation in pursuit of our goals. Before joining Cockroach Labs Isaac was in life sciences for 16 years with Medidata Solutions where he had a front row seat on the exciting ride from a 30 person startup to more than 2000 people worldwide. But the lure of distributed, resilient, and consistent SQL databases, along with the amazing technology and culture at Cockroach Labs proved too much. When not working he likes to draw, play the piano, and search NYC for cannolis with his wife and kids. 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)$164,000-$217,950 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 high 8-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 frontend engineers who love building complex and gorgeous products, and have a high degree of customer empathy, product sense and ownership. 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. Experience building applications with a modern front-end Javascript framework such as React. Prior experience in Svelte is nice to have, but not required. Ability to build pixel-perfect components and polished interactions. Strong product sense and experience driving product outcomes. Strong communication skills and a desire to partner with our customers in solving their problems. Ability to partner closely with product design to craft delightful user experiences. Ability to work in-person in our NYC office.

Mirage is the leading AI short-form video company. We're building full-stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage's products to reach their full creative and commercial potential. We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you'll have an opportunity to have an outsized impact on our products and our company's culture. Our Products Captions Mirage Studio Our Technology AI Research @ Mirage Mirage Model Announcement Seeing Voices (white-paper) Press Coverage TechCrunch Lenny's Podcast Forbes AI 50 Fast Company Our Investors We're very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more. Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) We do not work with third-party recruiting agencies, please do not contact us About the Role and Team: Captions seeks an exceptional Research Engineer (MOTS) to drive innovation in training data infrastructure. You'll conduct research on and develop sophisticated distributed training workflows and optimized data processing systems for massive video and multimodal datasets. Beyond pure performance, you'll develop deep insight into our data to maximize training effectiveness. As an early member of our ML Research team, you'll build foundational systems that directly impact our ability to train models powering video and multimodal creation for millions of users. You'll work directly alongside our research and engineering teams in our NYC office. We've intentionally built a culture where infrastructure and data work is highly valued - your success will be measured by the reliability and performance of our systems, not by your ability to navigate politics. We're a team that loves diving deep into technical problems and emerging with practical solutions. Our team values: * Quick iteration and practical solutions. * Open discussion of technical approaches. * Direct access to decision makers. * Regular sharing of learnings, results, and iterative work. Key Responsibilities: Infrastructure Development: * Build performant pipelines for processing video and multimodal training data at scale. * Design distributed systems that scale seamlessly with our rapidly growing video and multimodal datasets. * Create efficient data loading systems optimized for GPU training throughput. * Implement comprehensive telemetry for video processing and training pipelines. Core Systems Development: * Create foundation data processing systems that intelligently cache and reuse expensive computations across the training pipeline. * Build robust data validation and quality measurement systems for video and multimodal content. * Design systems for data versioning and reproducing complex multimodal training runs. * Develop efficient storage and compute patterns for high-dimensional data and learned representations. System Optimization: * Own and improve end-to-end training pipeline performance. * Build systems for efficient storage and retrieval of video training data. * Build frameworks for systematic data and model quality improvement. * Develop infrastructure supporting fast research iteration cycles. * Build tools and systems for deep understanding of our training data characteristics. Research & Product Impact: * Build infrastructure enabling rapid testing of research hypotheses. * Create systems for incorporating user feedback into training workflows. * Design measurement frameworks that connect model improvements to user outcomes. * Enable systematic experimentation with direct user feedback loops. Requirements: Technical Background: * Bachelor's or Master's degree in Computer Science, Machine Learning, or related field. * 3+ years experience in ML infrastructure development or large-scale data engineering. * Strong programming skills, particularly in Python and distributed computing frameworks. * Expertise in building and optimizing high-throughput data pipelines. * Proven experience with video/image data pre-processing and feature engineering. * Deep knowledge of machine learning workflows, including model training and data loading systems. System Development: * Track record in performance optimization and system scaling. * Experience with cluster management and distributed computing. * Background in MLOps and infrastructure monitoring. * Demonstrated ability to build reliable, large-scale data processing systems. Engineering Approach: * Love tackling hard technical problems head-on. * Take ownership while knowing when to loop in teammates. * Get excited about improving system performance. * Want to work directly with researchers and engineers who are equally passionate about building great systems. Benefits: * Comprehensive medical, dental, and vision plans * 401K with employer match * Commuter Benefits * Catered lunch multiple days per week * Dinner stipend every night if you're working late and want a bite! * Grubhub subscription * Health & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc) * Multiple team offsites per year with team events every month * Generous PTO policy Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please note benefits apply to full time employees only.

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

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

Applied AI 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 a highly skilled, data-centric AI Engineer to develop and apply state-of-the-art ML methods for assessing and responding to biological threats and for rapidly designing precision biologics. The Role Contribute to crafting and executing on the Valthos-wide research and development roadmap Develop, build, and apply modeling approaches-including adapting and post-training biological frontier models-for tasks in biological security and the design of precision biologics Develop, build, and apply evaluation frameworks to rigorously assess model performance on key tasks Interrogate models to understand their biological learnings, capabilities, and limitations Collaborate closely with computational biologists to understand the signal and artifacts inherent in biological data, and to create and curate datasets Collaborate closely with software engineers to build, deploy, and scale model training and evaluation infrastructure Visualize and communicate results within Valthos and externally Work with customers and external collaborators to understand their needs and be an effective representative of Valthos Embrace learning about areas-technical and non-technical-across Valthos Stay up-to-date on the state-of-the-art methods at the intersection of AI and biology Qualifications (required) Experience with data-centric development and evaluation of ML models Highly proficient in Python and deep learning libraries (e.g., PyTorch) Experience with cloud computing platforms (e.g., AWS) and distributed systems Strong understanding of probability and statistics Qualifications (preferred) Proven ability to design, implement, and evaluate new ideas in ML Experience with pre- or post-training language models, developing reasoning agents, and/or time series modeling Experience working with biological data or other types of noisy and heterogenous datasets Experience with ML-centric bioinformatics and structure-based tools (e.g., AlphaFold) Experience building data pipelining and training infrastructure 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.

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.

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 with a background in design engineering. The vast majority of your work will be open source. 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 join with a background in design engineering but will have the opportunity (& be encouraged) to expand your skill set way beyond that (curious about ML?). 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 design background - You've tackled hard design problems. You're comfortable driving large projects from inception to deployment, from Figma to React. Not afraid to code - You're excited to design in Figma, create prototypes, and ship PRs touching the UI. 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.

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 Atlas is Basis's internal agent team with a single mandate: make every employee 100× more productive. We're building the internal agents, automations, and knowledge systems that make Basis the first truly agent-native company. Atlas connects people, context, and tools-operationalizing knowledge so that Basis runs faster, learns faster, and scales intelligently. Our work spans Retool apps, Chrome extensions, internal APIs, MCP integrations, and developer tooling that empower every team. We design for leverage: when Atlas ships something, the entire company gets faster. About the Role As an Atlas Engineer at Basis, you'll own internal systems and agents end-to-end-from scoping to deployment. You'll act as the Responsible Party (RP) for your projects: identifying opportunities, designing automations, building the systems, and measuring their impact. You'll sit close to the work-talking with engineers, accounting teams, and operators to find bottlenecks-and you'll fix them fast. Sometimes that means writing code; other times it means wiring up low-code tools or shaping agent behavior through prompts and evals. You won't be managed-you'll be trusted to find the highest-leverage problems and solve them with speed, clarity, and craft. What you'll be doing: Build the systems that make Basis agent-native Design and ship internal agents for coding, ops, and knowledge management. Define and maintain context architectures (docs, repos, APIs) that agents can reason about. Extend and evaluate agents-prompts, tools, and safety layers-to make them effective across workflows. Create fast feedback loops: instrument impact, analyze trajectories, and iterate on behavior. Automate high-leverage workflows Identify manual processes and turn them into reliable automations. Build and extend internal tools with Retool, custom scripts, or APIs. Integrate SaaS systems and internal data sources into unified workflows. Decide pragmatically when to code vs. configure-optimize for velocity and maintainability. Build connective tissue across teams Partner with engineering, operations, and accounting to understand how work actually happens. Map out bottlenecks and design systems that remove them permanently. Build lightweight internal products-CLI tools, Slack bots, Chrome extensions-that give teammates superpowers. Document what you build so others can extend it easily. Operate as an RP - plan, build, iterate Scope and plan your own projects with clarity; own timelines and decisions. Ship fast, instrument impact, and measure improvement. Run your own postmortems and refine processes as you go. Share learnings and frameworks that others can reuse across Basis. 📍 Location: NYC, Flatiron office. In-person team. What Success looks like in this role Owner: You identify, scope, and deliver automation projects independently. Integrator: Internal systems, data, and agents connect seamlessly through your work. Force multiplier: Each thing you build compounds leverage across the company. Simplifier: You replace friction with flow-making the complex legible and the slow fast. Builder: You operate with conviction, clarity, and care-improving Basis every week.

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 have a Master / PhD level knowledge of machine learning. You understand the fundamentals of linear algebra, stochastic gradient descent, and can derive linear regression by hand. Post-training & Environments. You are comfortable running SFT across distributed GPU clusters using FSDP. You have an appetite to improve existing models using high-quality data and are capable of reasoning about new environments and online RL (GRPO, PPO). Python (FastAPI, PyTorch, etc.): REST APIs, back-end, vector-math. You can derive some high level abstractions in Torch using lower level primitives. 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.

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

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? As a Member of Technical Staff on our Applied ML team, you will work directly with customers to quickly understand their greatest problems and design and implement solutions using Large Language Models. You'll apply your problem-solving ability, creativity, and technical skills to close the last-mile gap in Enterprise AI adoption. You'll be able to deliver products like early startup CTOs/CEOs do and disrupt some of the most important industries and institutions globally! As a Member of Technical Staff, you will: Plan and execute large-group projects that carry through from ideation to production. Bring cross-functional alignment across engineering, product and other disciplines. Mentor a distributed team of engineers in subject matter expertise. Identify opportunities and gaps in existing models and strategize what to work on. Work closely with product teams to develop solutions. Engage in collaborations with our partner organizations. Assist our legal teams with preparation of patents on developed IP. Join us at a pivotal moment, shape what we build and wear multiple hats! You may be a good fit if you have: Prior experience in leading ML teams in applied research and production. Prior experience in setting as well as executing technical direction to build new or to refine existing products. Prior experience in working cross-discipline in matrixed organizations. Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR. Experience using large-scale distributed training and inference. Strong mentorship, communication, and problem-solving skills. A demonstrated passion for applied ML models and products. Bonus: experience working for B2B companies in the ML space. * This is neither an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to Cohere, please reach out. We have a wide variety of backgrounds at Cohere. 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!)