Member, technical staff jobs in Perth Amboy, 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.

Oscar is working with a highly successful web development agency that is looking for an experienced Web Design & Technology Manager to join their team. We're seeking a seasoned digital professional who understands the web inside and out, works well with people, and knows their way around Shopify. You'll manage client relationships, keep projects on track, jump into Liquid or CSS when needed, and help ensure everything we deliver feels thoughtful, polished, and well-built. If you're organized, people-savvy, and comfortable moving between strategic thinking and hands-on work, you'll thrive here. Key Responsibilities: Oversee day-to-day progress on web projects. Understand how Shopify works - new builds, theme updates, features, and customizations. Have foundational knowledge of cookies, WCAG, CSS, GitHub, Liquid, and ideally some frontend frameworks. Communicate directly with clients. Manage timelines and ensure details don't fall through the cracks. Collaborate closely with owners, designers, developers, and clients. Flag issues early and contribute to solutions. Jump into front-end code as needed - Liquid, HTML, CSS, JavaScript. Set up and troubleshoot Shopify themes, settings, apps, and metafields. Collaborate with developers to keep builds clean, tidy, and maintainable. Qualifications: Strong Shopify knowledge - Liquid, themes, apps, and platform nuance. 3-6 years of web experience (design, development, project management - any mix works). Solid front-end skills and an understanding of what makes a great website. Comfort with custom CMS platforms. Confidence communicating directly with clients using clear, jargon-free language. A strong sense of UX and how real people use the web. Organized yet easygoing - efficient without the over-engineered process. A solutions-first mindset and willingness to jump in. A creative approach paired with analytical thinking. Nice-to-Haves: Familiarity with WCAG accessibility standards. Strong front-end coding skills. Experience with Figma and Adobe tools. Basic SEO knowledge and an eye for performance. GitHub experience. Light back-end understanding. Recap: Location: Manhattan, NYC (Hybrid) Type: Full time Permanent Rate: $115k - $125k annual salary dependent on relevant experience If you think you're a good fit for the role, we'd love to hear from you!

The Trading and Risk Management System (TRMS) team is responsible for developing, supporting and maintaining our front and back office trading web applications using Python, the proprietary Beacon Dependency Graph and Glint, the Beacon UI framework. The successful candidate will help TRMS continue to grow, exercising an eye for detail across all aspects of the development lifecycle while maintaining organization and good code hygiene. This Principal Engineer should be able to effectively communicate both with internal teams and with clients. The successful candidate values teamwork and collaboration and is willing to mentor junior developers. In this senior role, the candidate will have responsibility for defining the company's technological vision, making strategic decisions, driving innovation, and setting new industry standards. Across all levels, a successful software development engineer will demonstrate strong problem-solving skills, clear communication, excellent coding abilities, a keen understanding of the software ecosystem, and a cooperative team player attitude. Responsibilities: Advocate for Clearwater's technical vision, strategy, and established standards for software systems. Collaborate with our clients (asset managers, hedge funds, insurance companies, investment banks and commodities trading companies) to adapt and customize our cloud-hosted Trading Risk Management platform. Measure and share the results of software teams and help them create improvement. Identify and remove systemic blockers to success. Establish best practices and processes that improve execution and collaboration on any team. Create alignment between multiple divisions and teams towards common standards and best practices. Participate in code reviews and provide feedback to the team. Influence the prioritization of the overall Clearwater roadmap. Influence and lead high-priority and complex projects and initiatives. Model and encourage a culture of communication and collaboration in their team, division, and department. Deemed a mentor of mentors and capable of mentoring engineers at all levels. Required Skills: Exceptional leadership and mentorship skills, including having led an engineering team (either as a tech lead or manager). Enthusiasm for software work in a software-as-a-service company. Driven by client satisfaction, possessing Empathy for clients and desire to solve customer problems Strong teamwork skills. Ability to manage own time and deliver expected results on time. Commitment to continuous learning and improvement. Exceptional analytical skills. Strong computer skills, including proficiency in Microsoft Office. Excellent attention to detail and strong documentation skills. Outstanding verbal and written communication skills. Strong organizational and interpersonal skills. Exceptional problem-solving abilities. Education and Experience: Bachelor's degree in computer science/related field or comparable experience. 12+ years of enterprise software development experience with strong experience in Python or other OOP languages Must have domain industry experience and deep knowledge of trading and risk management systems Professional experience with running software systems on a public-cloud provider. About Clearwater Analytics: Clearwater Analytics (NYSE: CWAN) is transforming investment management with the industry's most comprehensive cloud-native platform for institutional investors across global public and private markets. While legacy systems create risk, inefficiency, and data fragmentation, Clearwater's single-instance, multi-tenant architecture delivers real-time data and AI-driven insights throughout the investment lifecycle. The platform eliminates information silos by integrating portfolio management, trading, investment accounting, reconciliation, regulatory reporting, performance, compliance, and risk analytics in one unified system. Serving leading insurers, asset managers, hedge funds, banks, corporations, and governments, Clearwater supports over $8.8 trillion in assets globally. Learn more at ****************************

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 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 only 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 have created the Factors of Growth & Impact to help Villagers better measure impact and articulate coaching, feedback, and the rich and rewarding learning that happens while exploring, developing, and mastering the capabilities and contributions within and outside of the Member of Technical Staff role:Technical Skills: Participate in task breakdown, estimation, design, implementation and maintenance of the team Write, review, test, and document code according to Anchorage's engineering and team standards, and practices. Dive deep into complex, ambiguous problems, formulate elegant and practical solutions. Review other developer's code to ensure consistency, reduce errors and share context across the engineering team. 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. Use ability to break down large projects into smaller tasks, and accurately estimating the time and scope of projects. Articulate effectively the different options considered, analyze trade-offs, justify and recommend 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 do not position yourself 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 demonstrated experience managing, mentoring, and growing a geographically distributed team. Have real world experience building complex distributed systems. We mostly use Go, however languages can be learned. We really care about your engineering and management skills more than any specific language or framework. Enjoy building services from scratch and supporting them over a meaningful period of time. 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, hard working, trustworthy, eager to learn, methodical, action oriented, and tenacious. Although not a requirement, bonus points if: You have experience with applied cryptography. 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 have professional experience with Go/Rust/TypeScript/Solidity. You are familiar with optimistic & zero-knowledge tech. 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: $176,000-$255,000 - 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. 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 300 members, we are united in one common goal: building the future of finance by providing the foundation upon which value moves safely in the new global economy. Anchorage Digital is committed to being a welcoming and inclusive workplace for everyone, and we are intentional about making sure people feel respected, supported, and connected at work-regardless of who you are or where you come from. We value and celebrate our differences and we believe being open about who we are allows us to do the best work of our lives. Anchorage Digital is an Equal Opportunity Employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. Anchorage Digital considers qualified applicants regardless of criminal histories, consistent with other legal requirements. “Anchorage Digital” refers to services that are offered either through Anchorage Digital Bank National Association, an OCC-chartered national trust bank, or Anchorage Lending CA, LLC a finance lender licensed by the California Department of Financial Protection and Innovation, License No. 60DBO-11976, or Anchorage Digital Singapore Pte Ltd, a Singapore private limited company, all wholly-owned subsidiaries of Anchor Labs, Inc., a Delaware corporation. Protecting your privacy rights is important to Anchorage Digital, and we work to maintain the trust and confidence of our clients when handling personal or financial information. Please see our privacy policy notices here.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Stuut is transforming accounts receivable for B2B companies-making collections smarter and faster for companies that have historically relied on manual processes that are labor intensive and costly. Our platform is gaining traction with finance teams across industrials, chemicals, and manufacturing sectors from Fortune 10 brands to scaling midmarkets. We're backed by top-tier investors including a16z, Khosla, Activant, 1984 Ventures and Page One. The Role We're hiring a Member of Technical Staff - 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 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.

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 Jeremy Yang - Manager, Engineering Jeremy joined Cockroach Labs in 2022 as one of the founding engineers on the Migrations team. He has helped build the existing suite of MOLT tooling for migrations and has helped shape the migrations landscape here at Cockroach Labs. In his free time, Jeremy is an active endurance athlete participating in marathons and Ironmans but also enjoys more relaxing activities such as cooking new recipes at home or trying new restaurants. 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

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.

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: At Modal, we dynamically scale workloads across many cloud providers (see Linear Programming for Fun and Profit). We are looking for engineers with backgrounds spanning cloud infra, data engineering, and mathematical optimization to push this system to the next level. This role is for people who are deep systems thinkers and love optimizing things. You will be responsible for the system end-to-end, including things like: * Negotiating with cloud vendors and influencing our cloud strategy. * Modeling GPU and resource costs. * Coming up with, backtesting, and rolling out new optimizations. * Designing the next iteration of our workload scheduling system. * Pricing new product offerings and GPU types. Requirements: * 5+ years of experience writing high-quality production code. * Strong cloud skills, and deep familiarity with at least one of AWS, GCP, Azure, Oracle Cloud. * Experience with data science, visualization, and statistics. * A love for optimizing stuff, especially the bottom line. * Familiarity with linear programming solvers and related optimization techniques is a plus. * Ability to work in-person in our NYC office.

TensorZero enables a data and learning flywheel for optimizing LLM applications: a feedback loop that turns production metrics and human feedback into smarter, faster, and cheaper models and agents. Today, we provide an open-source stack for building industrial-grade LLM applications that unifies an LLM gateway, observability, optimization, evaluation, and experimentation. You can take what you need, adopt incrementally, and complement with other tools. Over time, these components enable you to set up a principled feedback loop for your LLM application. The data you collect is tied to your KPIs, ports across model providers, and compounds into a competitive advantage for your business. Our vision is to automate much of LLM engineering. We're laying the foundation for that with open-source TensorZero. For example, with our data model and end-to-end workflow, we will be able to proactively suggest new variants (e.g. a new fine-tuned model), backtest it on historical data (e.g. using diverse techniques from reinforcement learning), enable a gradual, live A/B test, and repeat the process. With a tool like this, engineers can focus on higher-level workflows - deciding what data goes in and out of these models, how to measure success, which behaviors to incentivize and disincentivize, and so on - and leave the low-level implementation details to an automated system. This is the future we see for LLM engineering as a discipline. For more details, see: GitHub Repository Announcement: TensorZero Raises $7.3M Seed Round to Build an Open-Source Stack for Industrial-Grade LLM Applications Case Study: Automating Code Changelogs at a Large Bank with LLMs Essay: Think of LLM Applications as POMDPs - Not Agents VentureBeat: TensorZero nabs $7.3M seed to solve the messy world of enterprise LLM development 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 have an opportunity to continue to master your current skills with the flexibility to learn new ones from scratch. As a preview, if you joined today, you'd take on our open-source UI that helps engineers manage the entire TensorZero operation - think of it like the AWS Console for TensorZero. The UI streamlines workflows for observability, optimization (e.g. fine-tuning), evaluations, and more. 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, generative modeling, 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 3.3k+ 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. _____ 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 backed by 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 - but maintain and encourage a healthy lifestyle with a long-term mindset. You can find us on Github: ****************************************

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

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 TypeScript Engineer, you'll architect and ship the core features that power our Agent Platform. 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 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

Computational Biologist 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 Computational Biologist to bridge machine learning and biology by building robust data and evaluation frameworks for assessing and responding to biological threats, and for rapidly designing precision biologics. The Role Contribute to shaping and executing the Valthos-wide research and development roadmap Identify large-scale biological datasets appropriate for training frontier biological models, and build workflows and infrastructure for processing these datasets Design, build, and apply evaluation frameworks for rigorously assessing model performance on real-world problems in biological security Design wet-lab experiments to evaluate the efficacy and real-world utility of designed biologics Collaborate closely with AI engineers to design and train models tailored to tasks in biological security and precision biologics Collaborate closely with software engineers to build and deploy tools for data analysis, including proper documentation and testing Visualize and communicate results clearly within Valthos and externally Work with customers and external collaborators to understand their needs and effectively represent Valthos Embrace continuous learning in both technical and non-technical areas across Valthos Stay up-to-date on state-of-the-art methods at the intersection of AI and biology Qualifications (required) Experience analyzing biological datasets, ideally sequence-based modalities (e.g., genomic, protein, metagenomic) Experience planning and running in silico computational biology experiments High proficiency in Python and its scientific package ecosystem Experience with bioinformatics sequence analysis tools (e.g., aligners) Experience with cloud computing platforms (e.g., AWS) Qualifications (preferred) Proven ability to design, implement, and evaluate novel methods in computational biology Experience working with experimental biologists to plan and interpret the results of wet-lab experiments Experience with ML-centric bioinformatics and structure-based tools (e.g., AlphaFold) Knowledge of biological databases (e.g., NCBI) Experience with machine learning model training and evaluation 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.

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 We're building product experiences where AI Accountants work as capable partners with humans, making complex accounting workflows simple, safe, and trustworthy. LLMs put general intelligence inside software, which changes everything about how products work. We're designing completely new ways for humans and AI to work together. Just as mobile changed how we think about UI, AI requires new architectures, abstractions, and ways of thinking. We work from first principles in small teams with quick feedback loops. We partner closely with Accounting SMEs, Design, PM, Research, and Platform. We think in systems, value clean abstractions and interfaces, and write code that's observable, maintainable, and easy for both humans and AI agents to work with.. About the role As a Product Engineer at Basis, you'll own your projects completely from start to finish. You'll be the Responsible Party (RP) for your work. That means you define the problem, figure out the solution, build it, and measure whether it worked. We trust you to manage yourself. You'll set your own goals, plan your own time, and make the calls on both technical and product decisions. You'll talk directly to users, learn what they need, and keep iterating until the product works seamlessly. What You'll Be Doing: Build intelligent product experiences Design and ship user-facing products that combine AI capabilities with reliable workflows. Build APIs, data models, and frontend flows that are clear and dependable. Integrate LLM capabilities like retrieval, reconciliation, and guardrails into the product. Write code that's structured so AI agents can understand and work with it. Own projects from planning through delivery Write clear project scopes and architecture docs. Build, test, and monitor your systems from start to finish. Track progress, identify blockers early, and measure results with data. Ship confidently with proper logging, feature flags, CI/CD, and rollback plans. Learn fast and share knowledge Work directly with accountants and users to understand their needs. Turn what you learn into better UX and systems. Document and share your learnings to help the whole team move faster. 📍 Location: NYC, Flatiron office. In-person team. What Success Looks Like You plan, build, and deliver projects independently while being accountable for results. Your systems are reliable, easy to understand, and built for continuous improvement. You simplify complex problems and ship products quickly. Both users and AI agents can depend on what you build. You help raise the standard for how we build software at Basis.

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.

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.

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!)