Member, technical staff jobs in Yonkers, NY

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 first federally chartered crypto bank in the U.S., Anchorage Digital also serves institutions through Anchorage Digital Singapore, Porto by Anchorage Digital, and other offerings. The company is funded by leading institutions including Andreessen Horowitz, GIC, Goldman Sachs, KKR, and Visa, with its Series D valuation over $3 billion. Founded in 2017 in San Francisco, California, Anchorage Digital has offices in New York, New York; Porto, Portugal; Singapore; and Sioux Falls, South Dakota. Learn more at anchorage.com, on X @Anchorage, and on LinkedIn. As a member of the Banking Solutions team, you will be responsible for implementing and maintaining innovative products, in a highly collaborative team, that empowers Anchorage's NeoBank functionality. The crypto industry is one of the most exciting industries in tech today, and it is constantly changing! At Anchorage Digital, we are building foundational technology to help the crypto industry evolve in a safe, regulated and highly secure manner, which we believe is essential for maximizing the potential of this exciting industry We 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 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.

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

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 are looking for strong engineers with experience and interest in designing, building, and maintaining the novel, high-performance systems that make up our serverless platform. Requirements: 5+ years of experience writing high-quality production code Experience building high-performance distributed systems at a large scale (the more battle scars, the better) Strong cloud skills Strong knowledge of low-level operating system foundations (Linux kernel, file systems, containers, etc.) Experience with performance engineering (tell us a story of when you shaved off a few milliseconds!) Ability to work in-person in our NYC or Stockholm office. Prior experience with Rust is nice to have, but not required.

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.

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.

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

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 Accounting post-Basis looks different. You will be part of a specialized team that will lead the charge into this new reality by building our core product. While you won't be doing accounting for clients in this role, you will work closely with both Basis' customers and our engineering team to build a product which will transform accounting workflows. The key to success on this team is being able to see around corners and think about how accounting processes should evolve in an AI world - rather than being limited to what they are today. You're a good fit for this role if you've thought deeply about how your current work might look different in just a few years time and want to help usher in this transformation. This requires a clear conception of the fundamentals of accounting, an ability to quickly understand disparate workflows, and the vision to redefine the current process. 📍 Location: NYC, Flatiron office. In-person team. What you'll be doing You'll work closely with our engineering and design teams to build out new features and capabilities, rigorously think through edge cases, and prioritize diligently to ship what matters. You'll listen to users and translate their needs into workflows that help them do their best work with AI-while also drawing on your own knowledge and experience to anticipate requirements and proactively shape the product. You'll partner with the ML team to develop agent capabilities, learn new things quickly (e.g., reading and pushing code), and practice hands-on prompt engineering-defining rules and behaviors for the LLM to deliver reliable outcomes. What you'll bring Bachelor's degree in Accounting. One of the following: CPA license or Master's degree in Accounting 3 - 7 years in audit and/or tax at a top public accounting firm Experience auditing financial statements end-to-end (cash through operating expenses), including financial statement preparation. Experience working with 20+ distinct clients across a variety of industries. Exceptional attention to detail; delivers accurate, high-quality work. Proactive, high-energy presence; takes ownership and drives outcomes. Excellent communication skills-able to translate complex accounting concepts into clear, concise verbal and written explanations for non-experts. Strong prioritization skills; able to manage a growing to-do list and consistently focus on the highest-impact tasks to work efficiently. What we'd love to see 2+ years in-house accounting. Demonstrated interest in mentorship-eager to learn from and support teammates. Enjoys being in the weeds on complex, non-client-facing work. Strong curiosity about partnering with engineers to build from first principles-comfortable operating without a playbook. High social fluency and cross-functional collaboration skills; integrates quickly and works smoothly across teams. What success looks like Process-oriented: Skilled at breaking down complex problems into clear, repeatable steps and managing execution. Strong communicator: Clear in explaining concepts and comfortable collaborating across all levels of seniority. First-principles reasoner: Question assumptions and apply lessons creatively to new situations. Company-builder: Eager to lay groundwork both technically and culturally as we rapidly scale. Office lover: Prefers face-to-face interactions in our NYC office. All-in: Driven to seize a massive opportunity, accelerate growth, and commit deeply to Basis's success.

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

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

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

About us ATG (Autonomous Technologies Group) is an AI lab deploying frontier reasoning systems within financial markets. Founders: Early GPU cloud (9 figure exit). Investors: Garry Tan / YC + Founder of one of the most successful quant funds, BoxGroup (Plaid, Ramp, Stripe), top-tier angels. About the Role You'll architect, build, and maintain the distributed systems, APIs, and backend infrastructure that power world-class AI research and deployment. Your work will enable rapid experimentation, robust data flows, and scalable compute. This is a hands-on role for someone who thrives in small, high-agency teams. Responsibilities Design and implement scalable backend services, data pipelines, and APIs Build infrastructure for high-throughput, low-latency AI/ML workflows Set up and manage databases (SQL/NoSQL), including schema design, replication, indexing, and performance optimization Optimize for performance, reliability, and security at every layer Implement observability best practices (logging, tracing, monitoring, performance tuning) Work closely with research and infra teams to support experimental velocity Contribute to core engineering culture, including code reviews and mentorship Requirements 3+ years building distributed systems or high-availability backends (preferably in fast-moving or high-stakes environments) Strong proficiency in Python and at least one systems language (e.g., Go, Rust, C++) Experience with cloud platforms, containerization, and orchestration (AWS/GCP/Azure, Docker, Kubernetes) Database setup, management, and optimization experience (SQL/NoSQL) Relentless focus on code quality, correctness, and performance Comfortable leveraging modern AI coding tools (Cursor, Claude Code, Codex, etc.) to increase productivity & code output while maintaining high code quality, maintainability, and structure Bonus - Agentic workflows / applied AI integration Experience supporting or integrating agentic AI workflows into backend systems (e.g., LangChain, LangGraph, Semantic Kernel, Haystack, or custom frameworks) Familiarity with persistence/checkpointing, streaming pipelines, and vector/knowledge store integrations Why Join ATG We're building a small, elite team. If you're excited by AI, markets, and building from first principles, we'd love to meet you. Work on AI with a massive market opportunity Early team of repeat founders backed by top investors High agency, talent dense, zero bureaucracy

TAIT partners with artists, brands, IP holders and place makers to bring culture-defining, never-before-seen experiences to life. With a legacy of innovation spanning over 45 years, TAIT has grown from pioneering in rock 'n' roll concert staging to setting the global standard for extraordinary live events and experiences through cutting-edge technology, precision engineering, and creative design. TAIT's 20 global offices have developed iconic productions and experiences in over 30 countries, all seven continents, and even outer space for renowned performers, theme parks, exhibits, and venues across the globe, including partnerships with Taylor Swift, Cirque Du Soleil, Royal Opera House, Nike, NASA, Bloomberg, Google, Beyoncé, and The Olympics **Position Purpose** Leada technical production team, contribute to the client relationship, and oversee the planning & execution of events from a technical perspective. Provide excellent customer service, understanding the importance of forging relationships with clients & production partners alike to successfully spearhead a project from beginning to end. Responsible for the "how & why" of all technical operations, including - scenic, staging, audio, video,lighting, rigging, and labor. **Location:** Must be US based. Hybrid work environment; remote for preproduction and wrap, with on site dates as required by individual projects. **Travel Requirements:** Around 20- 50% of the time, domestic. International possible. (site visits & onsite time- depending on project assignments.) **Essential Responsibilities/Accountabilities** + Leading by example, clearly setting expectations, communicating processes, setting goals for improvement, and offering support as necessary + Enforce safety standards, follow policies & procedures, and make recommendations as necessary + Strive for continuous improvement by placing an emphasis on both receiving and giving feedback + Ensure all technical components of a production are developed & executed flawlessly in keeping with the client's vision, budget requirements, timeline, and safety standards + Play a key role in projects from conception through pre-production, budgeting, onsite execution, and post-production + Work with Producer to manage client relationships - establishing trust & confidencein the technical team's capabilities + Keep up-to-date on current events, industry trends, technology and resources + Comfortable working in an office setting, as well as from more rigorous & non-traditional onsite environments + Have excellent interpersonal & communication skills, both verbal & written.Effectively communicate with staff of all experience levels + Have outstanding organizational skills & great attention to detail + Take initiative, act responsively, and demonstrate a sense of urgency + Anticipate & solve problems before they arise - providing viable & cost-effective solutions + Be collaborative, engaged, curious, and solution-oriented + Depending on the project, manage budgets & profit margins (or work in tandem with Producer) for assigned productions + Manage relationships and communications with technical vendors + Work with project staffing team to outline staffing needs and fill roles as projected within the budget + Draft site plans, ground plans, and other layouts as required + Oversee & participate in developing pitches & expanding service offerings + Grow event capabilities with existing clients and bring new client opportunities to the company + Manage expectations (Client, Venue, and Internal), provide feedback, and anticipate challenges before they arise **Competencies** + Experience preparing budgets, managing them, and maintaining their profit margins + Functional competencies in theatrical staging & rigging, sound reinforcement,production lighting, and audio & video production + Previous supervisory experience + Experience working with & directing union & non-union stagehands + Flexibility to work non-traditional hours (nights & weekends) as required **Minimum Qualifications** + Minimum of 7 years' experience in live events / entertainment / theatre / production (Bachelor's degree preferred) + Computer skills: Macintosh OS or Windows platform using Microsoft Office + Familiarity with, or willingness to learn communications and project management tools, such as Slack, Box, Airtable, Concur and Google Docs TAIT is an equal opportunity employer fully committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran or any other protected characteristic as outlined by international, national, state, or local laws.

Established in 1991, Collabera has been a leader in IT staffing for over 22 years and is one of the largest diversity IT staffing firms in the industry. As a half a billion dollar IT company, with more than 9,000 professionals across 30+ offices, Collabera offers comprehensive, cost-effective IT staffing & IT Services. We provide services to Fortune 500 and mid-size companies to meet their talent needs with high quality IT resources through Staff Augmentation, Global Talent Management, Value Added Services through CLASS (Competency Leveraged Advanced Staffing & Solutions) Permanent Placement Services and Vendor Management Programs. Collabera recognizes true potential of human capital and provides people the right opportunities for growth and professional excellence. Collabera offers a full range of benefits to its employees including paid vacations, holidays, personal days, Medical, Dental and Vision insurance, 401K retirement savings plan, Life Insurance, Disability Insurance. Job Description As Creative Technology Director, you will be leading a team that will be pushing the cutting edge in UX, rapidly prototyping new designs and iterating based on A/B testing and qualitative customer feedback. You must know the fundamentals of user centric design, but also be able to roll up your sleeves and dig into the code to build great experiences. You will work closely with an existing team of high performing UX/UI Designers and Engineers to realize the user experience for the core journeys of AmericanExpress.com. As a Creative Technologist, you will be hands on in all aspects of user experience including: gathering and understanding business and user needs, building high and low fidelity prototypes, and developing production-ready shippable code. American Express has won the JD Power Award eight years in a row, including Best in Web Interaction for the Credit Card Industry. This is a very exciting opportunity for someone who can blend business needs with customer needs to drive innovative solutions. Responsibilities • Work with the UI/UX team to rapidly build out and iterate upon low fidelity and high fidelity prototypes - You will own the projects and prove their value to the rest of the organization • Responsible for designing and maintaining reusable UI components used across the Amex organization • Collaborate with Agile technology teams to bring successful prototypes into production-ready products • Act as a thought leader internally and externally and facilitate innovation workshops with clients and partners • Ensure adherence to best practices, standards and brand consistency Qualifications • 8+ years development experience • 3+ years experience building teams and managing people • Relevant experience analyzing user experiences and turning them into usable, interactive prototypes and/or products • A deep understanding of the principles of User Experience, User Interface Design and Typography • Expert-level understanding of CSS - You know the browser quirks and you know how to handle edge cases • A strong portfolio showing breadth of development work Qualifications Our Ideal Candidate Also has… • Experience with managing a code-based style library • Knowledge of one or more front-end frameworks (Backbone, Angular, Ember) • Experience working with prototyping tools such as Axure, Invision, Balsamiq, Framer, or UXPin • Proficiency with design tools, most notably OmniGraffle, Ilustrator, Photoshop, and InDesign • Familiarity working in lean/agile product development methods • Excellent relationship management, verbal and written communication and executive presence • An affinity for visual storytelling - You make your ideas contagious! Additional Information To Set up Interview please contact: Vishwas Jaggi ************

ABOUT We're building the AI-native ERP that will define private markets infrastructure. This isn't an AI wrapper slapped onto legacy software - we built a proprietary general ledger accounting system from the ground up, designed specifically for complex investment firms. As the system of record, we've earned the trust to bundle fund administration with tools that were previously fragmented: investor portals, AI-powered portfolio management, KPI collection, and more. In under a year, we've scaled to over $10 billion in assets under administration, serving investment firms and LPs that include top-5 banks and major endowments. ABOUT THE ROLE Hanover Park is an engineering-first company on a mission to build the best engineering team. Our investors keep asking: “How are you shipping this much product?” You would join a builder culture. We don't have bureaucracy or hierarchy. We care about shipping delightful products to our customers. Nothing else. WHAT YOU'LL DO Solve technical challenges at the intersection of AI, finance and accounting for the most complicated investment firms in the world Own full-stack products & features end to end Make technical decisions alongside our CTO Collaborate with a world-class team of hackers OUR TECH STACK Fullstack Typescript NextJS Webapp Supabase AWS SST for Serverless backend