Member, technical staff jobs in Utica, NY - 977 jobs

About BRIC: BRIC is a leading arts and media institution anchored in the Downtown Brooklyn Arts District whose work spans contemporary visual, music and performing arts, media, media education and civic engagement action. For over forty years, BRIC has shaped Brooklyn's cultural and media landscape by presenting and incubating artists, creators, students, and media makers. As a creative catalyst for their community, BRIC ignites learning in people of all ages and centralizes diverse voices that take risks and drive culture forward. BRIC builds Brooklyn's creative future. About the Technical Director BRIC Celebrate Brooklyn! Festival Role: BRIC seeks a Seasonal Technical Director who will work as part of a production team committed to high-level production values and safety and who will contribute to a positive artist, audience, and staff experience. What You'll Do in the Role: The Technical Director will be responsible for the following in addition to any other project as assigned by their manager, the Production Director: Responsibilities include: Seasonal: • Install/maintain/strike Brown United production roof (steel structure) • Install/maintain/strike catwalk/truss lighting system (aluminum structure) • Install/maintain/strike all rigging systems • Supervise Assistant Tech Director and Tech Coordinators • Install/maintain/strike all power distribution (with Lighting Electrician) • Organize and maintain technical storage areas • Ensure excellent artist and audience experience through the delivery of high production value performances • Draft Site Plan, Temporary Place of Assembly Drawing, and other technical drawings as required for the festival • Operates, maintains and safeguards the technical assets of the venue, including supervising (in collaboration with the Production Director) the use of lighting, sound, communications equipment, and the use and maintenance of stage facilities Daily • Ensure safe operation of equipment and adherence to public safety procedures in all spaces • Performs safety checks of technical assets and set, and either makes repairs or arranges for them to be made with approval from the Production Director and Production Supervisor • Check roof/rigging for weather issues • Install/strike staging and platforming • Rig/strike all artists scenery/banners • Support sponsor installations • Support all special events Physical Demands: • Working in the outdoors including heat, humidity and inclement weather • Climbing ladders, lifting up to 50lbs or more. • Strong overall knowledge of PC and Mac computers and software applications including Google Suite, CAD (Vectorworks preferred) and other production/facility software. You'll Bring these Skills and Strengths to the Role: • Mission & Values Alignment: A passion for BRIC's support of the arts in Brooklyn and a deep commitment to building community, igniting learning and making change through the arts and creativity. • Experience & Qualifications: • At least 5-years of experience as a theater/concert TD • Degree in technical theater and/or rigging certifications preferred. • Experience supervising staff • Communication & Relationship Building: A highly skilled communicator who is a team player and can support the achievement of team goals. • Commitment to Equity & Inclusion: Brings experience operationalizing equity within the Performing Arts and or Hospitality function. Other Things to Know: • Compensation: $55 per hour / $82.50 per hour OT • Status and location: This is a seasonal role based at the Lena Horne Bandshell at Prospect Park. • Performance and General schedule: • April (remote PT hours, as needed) • May 1/6 - June 6 (Load In: Mon-Fri. 8 hours/ day) • June 7 - August 24 (Show days + prep days, approx. 10-14 hours/day, exact dates TBD) • August 25 - September 5 (8 -10 consecutive 8 hour days, exact dates TBD) • Mission & Values: BRIC builds Brooklyn's creative future. We advance opportunities for visual artists, performers, and media makers. We present bold work that reflects diverse audiences and speaks to the world. We ignite learning in people of all ages. We unite Brooklyn through art and creativity to build community and make change. How to Apply: All applicants must submit a resume together with a cover letter outlining the ways in which their skills and experience align with our specific needs via our online application portal found here on our website. Candidates of color and from traditionally underrepresented backgrounds are highly encouraged to apply. BRIC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, military and veteran status, genetic information or any other factor which cannot be used as a basis for an employment decision.

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

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 As an MTS, Corp IT you will be working across identity, devices, SaaS platforms, and supporting end users. You should be organized, collaborative, and eager to learn while working within established systems and processes. Provide reliable, hands-on IT support for our in office and remote employees by efficiently resolving Help Desk tickets while delivering excellent customer service. Support Fluidstack's MDM fleet comprising mac OS, iOS, and Windows devices. Provide in office support by troubleshooting basic network issues and our A/V systems. Help manage and optimize Okta and our core SaaS tooling by administering and improving integrations and role-based access controls. Support daily procurement and asset management operations by coordinating hardware purchasing and tracking while maintaining accurate asset inventory and device assignments throughout their lifecycle (purchase to decommission). Help maintain clear, organized, and accessible IT documentation by creating easy-to-understand technical documentation for both technical and non-technical audiences. Contribute to IT initiatives by supporting project execution, managing priorities, and ensuring clear communication with stakeholders through regular updates. Help maintain a secure environment by supporting basic security hygiene to include access reviews and basic identity security tasks. Support onboarding and offboarding of Fluidstack employees and contractors. Support the IT team by creating simple, reliable automations that reduce manual work and improve operational efficiency. Qualifications Practical experience administering Okta, including users, groups, and basic app integrations (OIE a plus). Strong knowledge of Google Workspace, with some exposure to Office 365. Hands-on MDM experience with mac OS and Windows, ideally with Iru (formerly Kandji). Ability to support mac OS, iOS, and Windows devices. Familiarity with Atlassian tools (Jira, Confluence) for documentation and project management. Experience participating in procurement and asset management processes. Clear, concise technical writing skills for documentation and knowledge base content. Excellent communication and customer service abilities. Basic understanding of security principles and best practices. Nice To Haves Experience with no‑code/low‑code automation tools (Okta Workflows, n8n, Zapier, Workato, Tray.io). Scripting familiarity with common languages (Bash, PowerShell, Python). Exposure to security and compliance frameworks (SOC 2, ISO 27001, NIST, CIS, FedRAMP). Experience with AI tools, agents, MCPs, automations, and prompting. Fluidstack standardizes on Anthropic Claude and has OpenAI ChatGPT. HRIS integration experience with systems like Deel, Rippling, BambooHR, or Workday. Understanding of API integrations and webhooks, and how to use them effectively. 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 $90,000 - $150,000 per year, depending on experience, skills, qualifications, and location. This range represents our good faith estimate of the compensation for this role at the time of posting. Total compensation may also include equity in the form of stock options. We are committed to pay equity and transparency. Fluidstack is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Fluidstack will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. You will receive a confirmation email once your application has successfully been accepted. If there is an error with your submission and you did not receive a confirmation email, please email ********************* with your resume/CV, the role you've applied for, and the date you submitted your application-- someone from our recruiting team will be in touch.

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

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.

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

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

About the Role A1 is building a proactive AI system that understands context across conversations, plans actions, and carries work forward over time. You will work on core ML systems under the guidance of senior engineers. This role is for builders who want to grow their judgment by shipping real ML systems in production. Focus Build and improve ML components across data, training, evaluation, and inference. Fine-tune and adapt models as part of larger production systems. Implement evaluation and testing to understand model behavior. Help build and maintain data pipelines for real-world and synthetic data. Debug model issues, performance problems, and production incidents. Ship improvements iteratively and learn from real user feedback. Work closely with senior ML engineers and product teams. Work under real production constraints: latency, cost, reliability, and safety Tech Stack Python PyTorch / JAX Production ML systems running on GPUs Ideal Experience Strong foundations in machine learning and modern neural architectures. Some hands-on experience training, fine-tuning, or deploying ML models. Comfortable writing production-quality code and learning new tools quickly. Curious, coachable, and eager to learn from real systems in production. Able to work through ambiguity with guidance and grow ownership over time. Bias toward shipping, iteration, and continuous improvement. How We Work Our organization is very flat and our team is small, highly motivated, and focused on engineering and product excellence. All members are expected to be hands-on and to contribute directly to the company's mission. Interview process If there appears to be a fit, we'll reach to schedule 3, but no more than 4 interviews. Applications are evaluated by our technical team members. Interviews will be conducted via virtual meetings and/or onsite. We value transparency and efficiency, so expect a prompt decision. If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us. This isn't just a job offer; it's an invitation to be part of a team that's bringing AI to have practical benefits to billions globally.

About Basis Basis equips accountants with a team of AI agents to take on real workflows. We have hit product-market fit, have more demand than we can meet, and just raised $34m to scale at a speed that meets this moment. Built in New York City. Read more about Basis here. About the Team The Platform Engineering team at Basis builds and runs the infrastructure that powers our AI research and products. We're a lean team that loves building large-scale distributed systems from scratch. We focus on clarity: clean abstractions, simple mental models, and clear interfaces that help our product and research teams move fast. We build the foundational capabilities an AI accountant needs. That means modeling the accounting world (concepts, workflows, constraints) and providing solid foundations: scalable services, efficient data pipelines, and comprehensive observability. About the Role As a Platform Engineer at Basis, you'll own projects completely from scoping to delivery. You'll be the Responsible Party (RP) for the systems you design. That means you decide how to build them, how to measure success, and when they're ready to ship. We trust you to manage yourself. You'll plan your own projects, work closely with your pod, and take full responsibility for execution and quality. You'll build systems that serve every part of Basis: AI, product, and internal agents. And you'll make those systems fast, reliable, and easy to understand. What you'll be doing: Build and scale our core infrastructure Design and scale services for reliability, cost, and growth. Define deployment and runtime patterns (containers, orchestration, IaC, secrets, CI/CD). Build observability systems (metrics, logs, traces) and make recovery straightforward. Own your services in production. Understand how they behave and continuously improve them. Design the data systems that power our AI Build pipelines that ingest, transform, and deliver high-quality financial data. Add validation, lineage tracking, and drift detection directly into workflows. Provide clean, well-modeled datasets to agents and product surfaces with clear contracts. Continuously simplify. Turn complexity into elegant, composable systems. Model the world our AI operates in Capture accounting entities, relationships, and rules as data models and schemas. Design the abstractions that make reasoning and automation possible. Build systems that encode domain rules about what agents can and cannot do. Operate with ownership and clarity Plan and execute your projects as an RP: scope, architect, implement, and deliver. Document decisions clearly so others can build on your work. Run your own postmortems and continuously improve how you build. Work with your pod (Platform, ML, Product) to align priorities and solve blockers quickly. 📍 Location: NYC, Flatiron office. In-person team. What Success looks like in this role You run your projects from concept to production and maintain high quality standards. Your systems are simple, scalable, observable, and elegant. Other teams build faster because your abstractions are clear and well-designed. You don't just follow patterns. You understand why they exist. You work with conviction, communicate clearly, and raise the bar for those around you. Why Join Basis? We offer a competitive and thoughtful benefits package designed to support your physical, mental, and financial well-being: Health & Wellness: Premium Medical, Dental, and Vision coverage; Life Insurance; and 6 coaching & 6 therapy sessions through Spring Health. Flexibility: Unlimited PTO + 12 paid company holidays. In-Office Perks: Daily meal stipends, a fully stocked kitchen, and $300 toward your custom desk setup. Financial Benefits: Pre-tax commuter benefits and 401(k) retirement plan Team Culture: Monthly office activities and frequent optional team happy hours.

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

Dynamic and results-driven technical leader with over 10 years of experience in the nickel and specialty metals industry, including 5+ years in aerospace. Proven expertise in driving operational excellence, cultural transformation, and a Zero Defects mindset across complex manufacturing environments. Adept at leading cross-functional engineering teams and managing technical resources to support strategic business goals. Core Competencies Technical Leadership: Oversight of Process Engineering, Product Engineering, and Laboratory functions to ensure high product and process performance. Process & Product Excellence: Expertise in VIM, VAR, ESR, and bar mill operations; strong focus on process control, yield improvement, and scrap reduction. Quality & Compliance: Champion of SPC, MSA, PFMEA, and 8D methodologies; committed to building a strong internal and external quality reputation. Strategic Oversight: Budgetary responsibility, capital expenditure planning, and technical support for raw material purchasing and sales contract reviews. Customer & Industry Engagement: Technical liaison for customer support, complaint resolution, and industry representation at seminars and forums. Key Achievements Led technical transformation initiatives to embed a Zero Defects culture across operations. Directed technical evaluations that improved product quality, reduced costs, and enhanced process control. Established robust monitoring systems for key process parameters and drove continuous improvement. Provided technical leadership across multiple facilities, including New Hartford and Dunkirk operations. Developed and mentored high-performing engineering teams aligned with business objectives. Education & Qualifications Education: B.S. in Metallurgy, Materials, Chemical, Mechanical, or related Engineering field (M.S./Ph.D. preferred). Industry Experience: 10+ years in technical management within the metals industry; 5+ years in aerospace with leadership responsibilities. Special Skills: High-temperature nickel-based superalloy melting/conversion Proficiency in SPC, MSA, PFMEA, and 8D Strong written and verbal communication skills Rapid decision-making in high-pressure environments

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

About Us: At Fireworks, we're building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We've been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We're an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI. The Role: As a Software Engineer on our Cloud Infrastructure team, you'll be at the forefront, architecting and building the foundational systems that power Fireworks AI's revolutionary generative AI platform. You'll spearhead the creation of one of the world's first virtual clouds, seamlessly serving AI workloads across the globe and every cloud provider. Your mission: to deliver unparalleled reliability, efficiency, and scalability, fueling the world's most innovative AI products.This is a highly technical role requiring deep expertise in distributed systems, cloud-native infrastructure, and machine learning platforms. You'll partner closely with engineering partners, product teams, and infrastructure stakeholders to design solutions that balance performance, cost-efficiency, and operational simplicity across compute, storage, and networking layers. Key Responsibilities: Architect and build scalable, resilient, and high-performance backend infrastructure to support distributed training, inference, and data processing pipelines. Lead technical design discussions, mentor other engineers, and establish best practices for building and operating large-scale ML infrastructure. Design and implement core backend services (e.g., job schedulers, resource managers, autoscalers, model serving layers) with a focus on efficiency and low latency. Drive infrastructure optimization initiatives, including compute cost reduction, storage lifecycle management, and network performance tuning. Collaborate cross-functionally with ML, DevOps, and product teams to translate research and product needs into robust infrastructure solutions. Continuously evaluate and integrate cloud-native and open-source technologies (e.g., Kubernetes, Kubeflow, MLFlow) to enhance our platform's capabilities and reliability. Own end-to-end systems from design to deployment and observability, with a strong emphasis on reliability, fault tolerance, and operational excellence. Minimum qualifications: Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience). 5+ years of experience designing and building backend infrastructure in cloud environments (e.g., AWS, GCP, Azure). Proven experience in ML infrastructure and tooling (e.g., PyTorch, TensorFlow, Vertex AI, SageMaker, Kubernetes, etc.). Strong software development skills in languages like Python, or C++. Deep understanding of distributed systems fundamentals: scheduling, orchestration, storage, networking, and compute optimization. Preferred qualifications: Master's or PhD in Computer Science or related field. Experience leading infrastructure projects supporting large-scale ML/AI workloads or high-throughput systems. Familiarity with infrastructure-as-code and CI/CD tooling (e.g., Terraform, ArgoCD, GitOps). Track record of driving system performance, reliability, and cost-efficiency improvements. Contributions to open-source cloud or ML infrastructure projects a plus. Total compensation for this role also includes meaningful equity in a fast-growing startup, along with a competitive salary and comprehensive benefits package. Base salary is determined by a range of factors including individual qualifications, experience, skills, interview performance, market data, and work location. The listed salary range is intended as a guideline and may be adjusted. Base Pay Range (Plus Equity)$175,000-$220,000 USDWhy Fireworks AI? Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving. Build What's Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI-no bureaucracy, just results. Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.

Company Profile With more than 120 operations and approximately 20,000 employees worldwide, Precision Castparts Corp. is the market leader in manufacturing large, complex structural investment castings, airfoil castings, forged components, aerostructures and highly engineered, critical fasteners for aerospace applications. In addition, we are the leading producer of airfoil castings for the industrial gas turbine market. We also manufacture extruded seamless pipe, fittings, and forgings for power generation and oil & gas applications; commercial and military airframe aerostructures; and metal alloys and other materials for the casting and forging industries. With such critical applications, we insist on quality and dependability - not just in the materials and products we make, but in the people we recruit. PCC is relentless in its dedication to being a high-quality, low-cost and on-time producer; delivering the highest value to its customers while continually pursuing strategic, profitable growth. In 2016, Berkshire Hathaway, led by Chairman and CEO Warren E. Buffett, acquired Precision Castparts Corp. Job Description Professional Summary Dynamic and results-driven technical leader with over 10 years of experience in the nickel and specialty metals industry, including 5+ years in aerospace. Proven expertise in driving operational excellence, cultural transformation, and a Zero Defects mindset across complex manufacturing environments. Adept at leading cross-functional engineering teams and managing technical resources to support strategic business goals. Core Competencies * Technical Leadership: Oversight of Process Engineering, Product Engineering, and Laboratory functions to ensure high product and process performance. * Process & Product Excellence: Expertise in VIM, VAR, ESR, and bar mill operations; strong focus on process control, yield improvement, and scrap reduction. * Quality & Compliance: Champion of SPC, MSA, PFMEA, and 8D methodologies; committed to building a strong internal and external quality reputation. * Strategic Oversight: Budgetary responsibility, capital expenditure planning, and technical support for raw material purchasing and sales contract reviews. * Customer & Industry Engagement: Technical liaison for customer support, complaint resolution, and industry representation at seminars and forums. Key Achievements * Led technical transformation initiatives to embed a Zero Defects culture across operations. * Directed technical evaluations that improved product quality, reduced costs, and enhanced process control. * Established robust monitoring systems for key process parameters and drove continuous improvement. * Provided technical leadership across multiple facilities, including New Hartford and Dunkirk operations. * Developed and mentored high-performing engineering teams aligned with business objectives. Education & Qualifications * Education: B.S. in Metallurgy, Materials, Chemical, Mechanical, or related Engineering field (M.S./Ph.D. preferred). * Industry Experience: 10+ years in technical management within the metals industry; 5+ years in aerospace with leadership responsibilities. * Special Skills: * High-temperature nickel-based superalloy melting/conversion * Proficiency in SPC, MSA, PFMEA, and 8D * Strong written and verbal communication skills * Rapid decision-making in high-pressure environments 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. Relocation Relocation is authorized for this position. Relo Policy Gr 8 and Above 8_2017.pdf - 140KB Opens in a new window For informational purposes only, the range of pay for this role is $143200 to $214800 US Dollar (USD) Salaried based on a variety of factors. For informational purposes only, this role is eligible to participate in the Company's Quarterly Cash Bonus Plan, paid out at the quarterly bonus factor of 3X the Company's bonus multiple, based on the Company's performance in the applicable quarter. Employees will receive 120 hours paid time off every year. Employees will also receive 10 paid holidays. Employees (and their families) are eligible to participate in the company's medical, dental, vision, and basic life insurance. Employees are eligible to enroll in the Company's 401(k) plan. The position will be eligible to participate in the Company's Long-Term Incentive Program This position requires use of information or access to production processes subject to national security controls under U.S. export control laws and regulations (including, but not limited to the International Traffic in Arms Regulations (ITAR) and the Export Administration Regulations (EAR)). To comply with those regulations, this position may require applicants to be U.S. Persons (i.e., U.S. citizens, U.S. lawful permanent residents, protected individuals as defined by 8 U.S.C. 1324b(a)(3)), or eligible to obtain the required export authorizations from the U.S. Department of State or the U.S. Department of Commerce. Precision Castparts Corp. and its affiliates do not accept unsolicited resumes from search firms or employment agencies. Unsolicited resumes will become the property of Precision Castparts Corp & its affiliates, and no fee will be paid.

Disney Entertainment & ESPN Technology: On any given day at Disney Entertainment & ESPN Technology, we're reimagining ways to create magical viewing experiences for the world's most beloved stories while also transforming Disney's media business for the future. Whether that's evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to maximize flexibility and efficiency, or delivering Disney's unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world. Building the future of Disney's media business: DE&E Technologists are designing and building the infrastructure that will power Disney's media, advertising, and distribution businesses for years to come. Reach & Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day - from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more. Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news. The Commerce, Growth & Identity (CGI) team is dedicated to three business-critical areas at Disney that will help transform its media business. They create seamless user experiences for consumers who can choose from a wide range of subscription plans, enabling more choice and flexibility. The CGI team is also focused on building innovative and cutting-edge capabilities that will drive subscriptions, engagement, and monetization across Disney's streaming and digital products. Job Summary: As a Sr Principal Software Engineer within the Identity Engineering organization, you will be responsible for: identifying or introducing best practices within the organization; setting technical, and architectural direction across the organization; helping squads, and individuals execute on that direction; and providing subject matter expertise to help accelerate project delivery. You will do this in collaboration with your peers in the Identity Engineering architecture group, and by partnering with engineering and product leaders throughout the organization. You will contribute to, and be part of an engaging, dynamic, and inclusive engineering organization. You, and the engineering organization you will be part of, will: advocate, and promote agile practices; encourage collaboration, and teamwork; provide expert guidance on object-oriented programming (OOP), functional programming (FP), and Continuous Integration and Deployment (CI/CD); and be committed to continuous learning and improvement. Identity Engineering delivers Consumer Identity and Access Management (CIAM) capabilities across The Walt Disney Company (TWDC) including but not limited to: Disney+, ESPN, Hulu, Parks, and Cruises. Identity Engineering squads build and run high-traffic and globally replicated systems which form an integral and visible part of every user's journey on Disney sites and applications. Responsibilities: Discover, define, and refine best practices for the design, development, testing, deployment, and support of stateful microservices and lambdas in a multi-region cloud environment. Promoting Open Standards for all areas of Identity management where applicable, including Authentication, Authorization, SSO, and Identity Provisioning. Provide guidance to engineering leaders and their teams to help them improve their technical ability and build their understanding of the products and platform that we are responsible for. Collaborate with Product Managers, Designers, QA, Operations, and other stakeholders to understand requirements and articulate technical solutions and architectures. Required Skills: Minimum of 12 years of related work experience. Familiarity with at least one of the following Java Virtual Machine (JVM) languages: Java, Scala, or Kotlin. Familiarity with at least one of the following cloud providers: Amazon Web Services (AWS), Google Cloud Compute (GCP), or Microsoft Azure. Familiarity with at least one of the following: Spark, Hive, or Presto. Desirable Skills: Expertise with open standards in the identity space, including: OpenID, OpenID Connect (OIDC), OAuth, SAML, and LDAP. Familiarity with Scala programming language and popular frameworks such as: Cats, Cats Effect, ZIO, and http4s. Familiarity with both object-oriented programming (OOP) and functional programming (FP) best practices. Familiarity with Amazon Web Services (AWS), Terraform, and infrastructure as code (IaC) best practices. Familiarity with Databricks and Apache Airflow products. Required Education: Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience. The hiring range for this position in New York, NY and Seattle, WA is $239,700 to $321,400, in San Francisco, CA $250,500 to 335,900, in Glendale, CA and Santa Monica, CA is $$228,700 to $306,700. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered. Job Posting Segment: Product Engineering Job Posting Primary Business: DO NOT USE - CGI - Identity Engineering Primary Job Posting Category: Software Engineer Employment Type: Full time Primary City, State, Region, Postal Code: New York, NY, USA Alternate City, State, Region, Postal Code: USA - CA - 1200 Grand Central Ave, USA - CA - 2500 Broadway Street, USA - CA - Market St, USA - CT - ESPN Building 1, USA - NC - 3005 Carrington Mill Blvd, USA - WA - 925 4th Ave Date Posted: 2025-01-08

The Assistive Technology Manager is responsible for the day-to-day operations of the Upstate Caring Partners Assistive Technology Program office including customer service, data management and equipment maintenance to ensure meeting measurable outcomes within the mandatory parameters outlined by the NY State Justice Center and the NY State Adult Career & Continuing Education Vocational Rehabilitation program. This individual will evaluate and determine the need for assistive/rehabilitation technology services to mitigate the impact of the individual's functional limitations, to enhance the capacity to participate in Vocational Rehabilitation services, and achieve the Individualized Plan for Employment (IPE) employment outcome. The Assistive Technology Manager will provide instruction to an individual on how to use the assistive technology/rehabilitation technology device(s) or service(s). The intended outcome is that the individual, upon completion of the training, will be able to effectively utilize the device(s) or service(s) to achieve their employment goal. Core Responsibilities * Responsible for overseeing day-to-day customer service including in office and outreach activities. * Establish and maintain a professional relationship with multiple outside agencies and service providers including local Early Intervention officials. * Responsible for completing evaluation and training reports. * Maintain accurate records of customer contacts, assistive technology evaluation and training services, and mailings. * Implement follow-up procedures and customer satisfaction surveys. * Ensure maintenance, cleaning and tracking of equipment; including obtaining supplies necessary for equipment maintenance. * Ensure safety of adaptive equipment prior to loaning. * Develop and implement quality and efficiency procedures. * Act as the primary contact person for volunteers within the program and coordinate marketing activities. * Conduct presentations to individuals, groups, students and professional organizations on assistive technology and TRAID services. Qualifications * Bachelors Degree in Human Services or related field. * Strong knowledge of a variety of assistive technology devices and delivery of rehabilitation technology services. * Travel is required. Must have a valid NYS Driver's License * Mechanical ability to troubleshoot, clean and repair equipment. Benefits Our work environment provides the opportunity to grow and learn in a fast-paced atmosphere. We offer competitive benefits and salary to include a low-cost individual health insurance plan, dollar for dollar retirement match (up to 7%), life insurance, voluntary benefits and generous paid time off. * Comprehensive Health/Dental/Vision * Direct Deposit * Flexible Spending Account (FSA) * Retirement Plan 403(b) * Life Insurance * Voluntary Benefits * Employee Assistance Program (EAP) * Generous PTO Plans (Sick, Vacation and Employee Leave) * Tuition Reimbursement * Service Awards * Employee Appreciation Events * Employee Discounts Upstate Caring Partners is the premier provider of direct-care services and programs in Central New York for individuals of all abilities and their families. If you believe in empowering people, Upstate Caring Partners is an excellent place to start or grow your career. Please visit our careers website to access the full located within the job posting. upstatecpjobs.org To access a copy of the job description Click Here - Assistive Technology Manager

The Assistive Technology Manager is responsible for the day-to-day operations of the Upstate Caring Partners Assistive Technology Program office including customer service, data management and equipment maintenance to ensure meeting measurable outcomes within the mandatory parameters outlined by the NY State Justice Center and the NY State Adult Career & Continuing Education Vocational Rehabilitation program. This individual will evaluate and determine the need for assistive/rehabilitation technology services to mitigate the impact of the individual's functional limitations, to enhance the capacity to participate in Vocational Rehabilitation services, and achieve the Individualized Plan for Employment (IPE) employment outcome. The Assistive Technology Manager will provide instruction to an individual on how to use the assistive technology/rehabilitation technology device(s) or service(s). The intended outcome is that the individual, upon completion of the training, will be able to effectively utilize the device(s) or service(s) to achieve their employment goal. Core Responsibilities Responsible for overseeing day-to-day customer service including in office and outreach activities. Establish and maintain a professional relationship with multiple outside agencies and service providers including local Early Intervention officials. Responsible for completing evaluation and training reports. Maintain accurate records of customer contacts, assistive technology evaluation and training services, and mailings. Implement follow-up procedures and customer satisfaction surveys. Ensure maintenance, cleaning and tracking of equipment; including obtaining supplies necessary for equipment maintenance. Ensure safety of adaptive equipment prior to loaning. Develop and implement quality and efficiency procedures. Act as the primary contact person for volunteers within the program and coordinate marketing activities. Conduct presentations to individuals, groups, students and professional organizations on assistive technology and TRAID services. Qualifications Bachelors Degree in Human Services or related field. Strong knowledge of a variety of assistive technology devices and delivery of rehabilitation technology services. Travel is required. Must have a valid NYS Driver's License Mechanical ability to troubleshoot, clean and repair equipment. Benefits Our work environment provides the opportunity to grow and learn in a fast-paced atmosphere. We offer competitive benefits and salary to include a low-cost individual health insurance plan, dollar for dollar retirement match (up to 7%), life insurance, voluntary benefits and generous paid time off. Comprehensive Health/Dental/Vision Direct Deposit Flexible Spending Account (FSA) Retirement Plan 403(b) Life Insurance Voluntary Benefits Employee Assistance Program (EAP) Generous PTO Plans (Sick, Vacation and Employee Leave) Tuition Reimbursement Service Awards Employee Appreciation Events Employee Discounts Upstate Caring Partners is the premier provider of direct-care services and programs in Central New York for individuals of all abilities and their families. If you believe in empowering people, Upstate Caring Partners is an excellent place to start or grow your career. Please visit our careers website to access the full located within the job posting. upstatecpjobs.org To access a copy of the job description Click Here - Assistive Technology Manager

Store - PORT CHESTER, NYDeliver friendly customer service, help customers shop our store, and find what they're looking for. Ensure all customers receive a fast and friendly checkout experience. Complete truck unloading and merchandise duties throughout the store including maintaining store recovery standards to deliver our Brand Promises. Help customers shop, locate products, and provide them with solutions Provide a fast and friendly checkout experience; execute cash handling to standards Engage customers on the benefits of the Rewards program and Private Label Credit Cards and complete enrollments Educate customers on the Voice of Customer (VOC) survey Assist with Omni channel processes, including Buy Online Pickup in Store (BOPIS) and Ship From Store (SFS) Participate in the truck unload, stocking, and planogram (POGs) processes Responsible to complete merchandise recovery and maintenance including the merchandise return / go back process and general store recovery to ensure a well-merchandised and in-stock store Perform Store In Stock Optimization (SISO) and AD set duties as assigned Support shrink and safety programs Adhere to Standard Operating Procedures (SOPs) and Company programs to ensure compliance with applicable laws and requirements; execute Company policies and standards Interact with others in an accepting and respectful manner; remain positive and respectful, even in difficult situations; promote commitment to the organization's vision and values; project a positive image and serve as a role model for other Team Members Cross trained in Custom Framing selling and production Other duties as assigned Preferred Knowledge/Skills/Abilities Preferred Type of experience the job requires Retail and/or customer service experience preferred Physical Requirements Work Environment Ability to remain standing for long periods of time Ability to move throughout the store Regular bending, lifting, carrying, reaching, and stretching Lifting heavy boxes and accessing high shelves by ladder or similar equipment If you need help performing these essential functions of your job, please contact your supervisor so that we may engage in the interactive process with you to determine if a reasonable accommodation is available. Public retail store setting taking care of our customers; all public areas are climate controlled; some stock rooms may not be climate controlled; some outdoor work if assigned to retrieve shopping carts or while unloading trucks; Frame shop contains glass cutter and heat press; work hours include nights, weekends and early mornings Applicants in the U.S. must satisfy federal, state, and local legal requirements of the job. Michaels requires all team members in this role to be at least sixteen (16) years or older. Total Base Pay Range for this Position: $17.25 - $20.30 At The Michaels Companies Inc., our purpose is to fuel the joy of creativity and celebration. As the leading destination for creating and celebrating in North America, we operate over 1,300 stores in 49 states and Canada and online at Michaels.com and Michaels.ca. The Michaels Companies, Inc. also owns Artistree, a manufacturer of custom and specialty framing merchandise. Founded in 1973 and headquartered in Irving, Texas, Michaels is the best place for all things creative. For more information, please visit ***************** At Michaels, we prioritize the wellbeing of our teams by providing robust benefits for both full-time and part-time Team Members. Our benefits include health insurance (medical, dental, and vision), paid time off, tuition assistance, generous employee discounts, and much more. For more information, visit mikbenefits.com. Michaels is an Equal Opportunity Employer. We are here for all Team Members and all customers to create, innovate and be better together. Michaels is committed to the full inclusion of all qualified individuals. In keeping with this commitment, Michaels will assure that people with disabilities are provided reasonable accommodations. Accordingly, if a reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the job, and/or to receive all other benefits and privileges of employment, please contact Customer Care at ************** (1800-MICHAEL). EEOC Know Your Rights Poster in English EEOC Know Your Rights Poster in Spanish EEOC Poster Optimized for Screen Readers Federal FMLA Poster Federal EPPAC Poster