Operations engineer jobs in Le Ray, NY - 3,205 jobs

WHO WE ARE As the nation's largest producer of clean, carbon-free energy, Constellation is focused on our purpose: accelerating the transition to a carbon-free future. We have been the leader in clean energy production for more than a decade, and we are cultivating a workplace where our employees can grow, thrive, and contribute. The Engineer, Mechanical position is based out of our Ginna Clean Energy Center in Ontario, NY. Our culture and employee experience make it clear: We are powered by passion and purpose. Together, we're creating healthier communities and a cleaner planet, and our people are the driving force behind our success. At Constellation, you can build a fulfilling career with opportunities to learn, grow and make an impact. By doing our best work and meeting new challenges, we can accomplish great things and help fight climate change. Join us to lead the clean energy future. TOTAL REWARDS Constellation offers a wide range of benefits and rewards to help our employees thrive professionally and personally. We provide competitive compensation and benefits that support both employees and their families, helping them prepare for the future. In addition to highly competitive salaries, we offer a bonus program, 401(k) with company match, employee stock purchase program comprehensive medical, dental and vision benefits, including a robust wellness program paid time off for vacation, holidays, and sick days and much more. *****************This Engineering role can be filled at Entry-level, Mid-level or Senior Engineer level. Please see minimum qualifications list below for each level*********************************** Entry Level - $85,000 Mid Level - $90,000-$110,000 Sr Level - $117,000-$143,000 Ranges are per year based on experience, along with a comprehensive benefits package that includes bonus and 401K PRIMARY PURPOSE OF POSITION Responsible for performing engineering and technical tasks, under direct supervision, in support of nuclear plant operations. PRIMARY DUTIES AND ACCOUNTABILITIES Assure all engineering products prepared are in accordance with applicable safety analyses, industry codes, and all regulatory requirements. Perform engineering and technical tasks as assigned by supervision. Support engineering work functions. All other job assignments and/or duties pursuant to company policy or as directed by management to include but not limited to: (Emergency Response duties and/or coverage, Department duty coverage and/or call out, and positions outside of department in support of outage activities etc.) MINIMUM QUALIFICATIONS for Entry Level E01 Engineer &ndash New Graduate B.S in Engineering (Chemical, Civil/Structural, Electrical, Industrial, Mechanical or Nuclear) Maintain minimum access requirements or unescorted access requirements, as applicable, and favorable medical examination and/or testing in accordance with position duties MINIMUM QUALIFICATIONS for Mid-level E02 Engineer B.S. in Engineering, a minimum 2 years Nuclear experience or related engineering experience\ Must meet additional requirements as outlined in ANSI/ANS-3.1-2014 Standard, "Selection, Qualification, and Training of Personnel for Nuclear Power Plants" Maintain minimum access requirements or unescorted access requirements, as applicable, and favorable medical examination and/or testing in accordance with position duties MINIMUM QUALIFICATIONS for Senior E03 Engineer B.S. in Engineering, a minimum 5 years Nuclear experience or related engineering experience Must meet additional requirements as outlined in ANSI/ANS-3.1-2014 Standard, "Selection, Qualification, and Training of Personnel for Nuclear Power Plants" Maintain minimum access requirements or unescorted access requirements, as applicable, and favorable medical examination and/or testing in accordance with position duties PREFERRED QUALIFICATIONS Engineer in Training Certification

Stripe's mission is to accelerate global economic and technological development. We offer financial infrastructure and a variety of services to serve the needs of a wide range of users, from startups to enterprises, with global scale and industry-leading reliability and product quality. All financial services businesses face a trade-off between access, which we want to expand, and risk, which we want to minimize. We use machine learning to scalably and intelligently optimize across both. Machine learning is an integral part of almost every service at Stripe. It is a key investment area with products and use cases that span merchant and transaction risk, payments optimization, identity, and merchant data analytics and insights. We are also using the latest generative AI technologies (such as LLMs and FMs) to re-imagine product experiences and developing AI Assistants and Agents both for our customers (e.g. Radar Assistant and Sigma Assistant), and also to make Stripes more productive across Support, Marketing, Sales, and Engineering roles within the company. About the team We are dedicated to building and shipping the foundational AI and machine learning systems that will power our entire product suite. Our mission is to fundamentally transform how Stripe uses ML, leveraging our extensive and rich dataset to solve some of the most challenging problems in payments and fraud. We work closely with our partners in Risk, Payments, and Support to build transformative technologies that have a direct impact on our users. From a data perspective, Stripe handles over $1.4T in payments volume per year, which is roughly 1.3% of the world's GDP . We process petabytes of financial data using our ML platform to build features, train models, and deploy them to production. We focus on seeing how LLMs can solve some of our hardest problems in merchant risk and understanding how we can align language to our immense ocean of payments data. Some of our latest innovations have been around understanding how to best represent payments using transformers and enabling entirely new product ideas that are only made possible by GenAI. What you'll do As a Machine Learning Engineer on the Foundation Model team, you'll solve some of Stripe's most challenging technical problems that span multiple teams and directly impact our research and engineering efforts around building the Foundation Models that power our payments and risk solutions . You'll be responsible for both hands-on technical contributions and driving strategic initiatives that shape how ML systems operate at scale across Stripe. Responsibilities Develop foundation models for payments, merchants, and consumers that span Stripe product areas. Fine-tune and optimize LLMs using SOTA techniques, including multimodal alignment, knowledge distillation, quantization, and reasoning to build highly specialized models. Drive technical excellence through hands-on contributions to the design and development of state-of-the-art AI/ML systems, conducting architecture reviews, and maintaining high code quality Partner with engineering and product leaders across Stripe to identify and prioritize foundational investments such as foundation models, assistants, and agents that unlock new capabilities for product teams Contribute to Stripe's technical strategy by representing AI/ML engineering perspectives in company-wide technical decisions and roadmap planning Mentor ML engineers across Stripe on ML experimentation, helping teams navigate complex technical trade-offs, and adopt platform capabilities effectively Who you are We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. 5+ years of experience building and shipping ML models that power AI/ML product features, with a strong emphasis on modern technologies such as DNNs, Transformers, and Foundation Models. Strong programming skills in Python with demonstrated ability to write production-quality code A strong experimental mindset, with a proven track record of identifying, prototyping, and validating SOTA machine learning methods to enhance model performance. Proven ability to shepherd large, complex ML projects and drive transformational change in an organization. Deep passion for solving really interesting problems and for building the latest technologies rather than relying on outdated methods. Preferred qualifications A PhD or Master's degree with a research-oriented background, with the ability to dive into research papers and stay current with academic publications. Experience with a large-scale, data-rich product in a domain such as payments, commerce, search, or social media. Knowledge of the challenges and opportunities in applying ML to fraud prevention, merchant intelligence, or financial services. Published research or open source contributions in AI/ML or related fields This role is available either in an office or a remote location (35+ miles or 56+ km from a Stripe office). Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams. A remote location is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently live or plan to live. The annual US base salary range for this role is $212,000 - $318,000. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. Office locations South San Francisco HQ, New York, or Seattle At Stripe, we're looking for people with passion, grit, and integrity. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and passion will stand out-and set you apart-especially if your career has taken some extraordinary twists and turns. At Stripe, we welcome diverse perspectives and people who think rigorously and aren't afraid to challenge assumptions. Join us. #J-18808-Ljbffr

We are seeking a Lead Machine Learning Engineer with a passion for cutting‑edge AI to drive impactful solutions in the Customer Support domain. This role offers the opportunity to lead applied research and engineering efforts that bring intelligent automation and personalized experiences to millions of customers across Disney's media platforms. You'll partner with cross‑functional teams to design, prototype, and productionize AI‑driven systems - from natural language understanding to agent assist tools and predictive analytics - all with the goal of enhancing the customer support experience. Job Summary Our work is at the intersection of technology and storytelling. We build world‑class products that support Disney's streaming, digital, and advertising businesses, delivering scale, velocity, and innovation at a global level. Responsibilities Rapidly analyze and prototype AI‑driven solutions for self‑service and CS agent tools. Own and maintain production AI systems, including LLM‑based solutions; optimize, fine‑tune, and debug for robustness and performance. Bridge customer support needs with commerce platform capabilities, identifying appropriate AI solutions versus new development. Assess effectiveness of deployed AI solutions, iterating and sunsetting or replacing those that lack meaningful impact. Collaborate with other AI‑focused teams across Disney Streaming to share innovations and adopt best practices. Qualifications Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or related field; PhD is a plus. 2+ years of experience building, deploying, and evaluating LLM‑based solutions. Minimum 7 years of related work experience in real‑world ML solution deployment. Proficiency in Python, SQL, and relevant programming languages. Experience with data wrangling tools (Pandas, NumPy) and databases (MySQL, PostgreSQL). Familiarity with big‑data and workflow platforms (Spark, Databricks, Snowflake, Airflow, Jupyter, GitHub). Proven experience leading end‑to‑end ML project lifecycles, including model design, experimentation, deployment CI/CD, and monitoring. Strong problem‑solving, communication, and collaboration skills. Preferred Qualifications Experience working with Amazon Web Services. Experience with Tableau, Power BI, or similar analytics platforms. Experience building anomaly detection models. Compensation & Benefits The hiring range for this position in New York, NY is $175,800 to $235,700 per year; in Los Angeles, CA $167,700 to $224,900 per year; and in San Francisco, CA $183,700 to $246,400 per year. The base pay will also reflect internal equity and other factors. Bonuses and long‑term incentive units may also be provided. Standard benefits include medical, financial, and other typical Disney employment perks. About Disney Entertainment and ESPN Product & Technology We blend imagination and innovation to reimagine how people experience Disney's stories and products. Our team builds technology backbone for Disney's global media business. Equal Employment Opportunity Disney is an equal‑opportunity employer and welcomes candidates from all backgrounds. We will provide reasonable accommodations for applicants with disabilities. If you need an accommodation, email Candidate.Accommodations@Disney.com. #J-18808-Ljbffr

Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to‑do's, such as furniture assembly, handyman work, moving help, and much more. At Taskrabbit, we want to transform lives one task at a time. As a company we celebrate innovation, inclusion and hard work. Our culture is collaborative, pragmatic, and fast-paced. We're looking for talented, entrepreneurially minded and data‑driven people who also have a passion for helping people do what they love. Together with IKEA, we're creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world. Taskrabbit is a hybrid company with employees distributed across the US and EU and a Built In - Best Places to Work (2022, 2023, 2024) continually ranked across multiple national and regional categories. Join us at Taskrabbit, where your work will be meaningful, your ideas valued, and your potential unleashed! This role operates on a hybrid schedule requiring two days of in‑office collaboration per week. The position can be based in either our San Francisco office or our new New York City office (opening January 2026). About the Role Machine Learning is a cornerstone at Taskrabbit, and we're looking for a seasoned Senior Machine Learning Engineer to join our team and help shape the future of ML/AI at Taskrabbit. This is a unique, full‑stack role for an individual who is passionate about the entire machine learning lifecycle-from initial research and model development to building the robust infrastructure required to deploy and scale your work. As a Senior Machine Learning Engineer, you will tackle exciting challenges that directly impact how people discover and connect with home services on the Taskrabbit platform. You will play a crucial role in advancing our capabilities in areas like search ranking, content discovery, and recommender systems. You will collaborate closely with data scientists and other engineers to design and implement novel algorithms, and you will partner with software engineers to ensure the scalability, reliability, and optimization of our models in production. What You'll Work On: Model Development & Research: Research, design, and implement machine learning models to solve key business problems in areas like search ranking, recommendations, and content discovery. End‑to‑End ML Lifecycle: Own the entire lifecycle of ML models, including feature engineering, training, evaluation, deployment, and monitoring. Infrastructure & Scalability: Build scalable and reliable ML infrastructure and data pipelines that support reproducible feature engineering and machine learning model deployment in real‑time, near real‑time, and batch processes. Performance & Quality: Build monitoring services to understand data quality and model performance of complex systems, and collaborate with engineering and science teams to optimize existing algorithms for training and evaluation. Software Engineering Excellence: Independently solve complex problems, write clean, efficient, and sustainable code, and actively participate in code reviews, documentation, and the full software engineering lifecycle. Your Areas of Expertise: We welcome applicants from a variety of backgrounds and experiences. Below gives you a sense of how we're thinking about what you'll need to be successful in the role. BS, MS, or PhD in Computer Science, Statistics, Operations Research, or a related quantitative field. 3+ years of industry experience building and deploying high-quality, production‑grade machine learning models and systems. Strong theoretical knowledge and hands‑on experience in machine learning, particularly in areas like search, ranking, recommender systems, or NLP. Solid software engineering skills with proficiency in one or more programming languages, including Python. The candidate should have experience with popular ML libraries like Scikit‑learn, lightgbm, xgboost, TensorFlow, PyTorch, etc. Proficiency in SQL is also required for writing complex queries and transforming data. Experience building REST API‑based services. Experience with modern data and ML technologies, such as Docker, Kubernetes, Kafka, Airflow, data warehouses (e.g., Snowflake, Redshift or BigQuery), and data lakes. Familiarity with dbt (Data Build Tool) is a plus for transforming and testing data. Familiarity with tools for Infrastructure as Code, such as Terraform, and CI/CD pipelines. Excellent communication skills, with the ability to present complex findings and recommendations clearly to both technical and non‑technical audiences. A passion for quickly learning new technologies and a drive to solve challenging problems. At Taskrabbit, our approach to compensation is designed to be competitive, transparent, and equitable. Total compensation consists of base pay + bonus + benefits + perks. The base pay range for this position is $148,000 - $200,000. This range is representative of base pay only, and does not include any other total cash compensation amounts, such as company bonus or benefits. Final offer amounts may vary from the amounts listed above and will be determined by factors including, but not limited to, relevant experience, qualifications, geography, and level. You'll love working here because: Taskrabbit is a Hybrid Company. We value flexibility and choice but also stay committed to regular in‑person connection. The People. You will be surrounded by some of the most talented, supportive, smart, and kind leaders and teams-people you can be proud to work with! The Diverse Culture. We believe that we make better decisions when our workforce reflects the diversity of the communities in which we operate. Women make up half of our leadership team and our diversity representation is above that of the tech industry average. The Perks. Taskrabbit offers our employees employer‑paid health insurance and a 401k match with immediate vesting for our US‑based employees. We offer all of our global employees generous and flexible time off with 2 company‑wide closure weeks, Taskrabbit product stipends, wellness + productivity + education stipends, IKEA discounts, reproductive health support, and more. Benefits vary by country of employment. Taskrabbit's commitment to Diversity and Inclusion: An Active Commitment to Equity within our Company and Platform. We are an inclusive community where all who share our mission and values belong. Our anti‑racist culture actively strengthens the knowledge, understanding, and awareness of underrepresented experiences and our ongoing allyship commitment. Our diverse team represents the communities we serve, breaking down systemic barriers, and transforming lives-one action at a time. Taskrabbit is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, ancestry, citizenship, sex, gender, gender identity, sexual orientation, age, marital status, military/veteran status, or disability status. Taskrabbit is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Taskrabbit will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. Taskrabbit will never use text or chat applications to conduct interviews. We have a thoughtful and interactive interview process that includes an initial recruiter phone screen and several video‑based interviews with our hiring teams. Communications will always be conducted by taskrabbit.com domain names. #J-18808-Ljbffr

A fast-growing software company in New York is seeking a Frontend Engineer to build core user-facing features for their developer platform. You will manage frontend infrastructure, streamline developer experience, and work with various stakeholders. Ideal candidates will have at least 3 years of experience in software development, strong communication skills, and proficiency in TypeScript. This position offers great benefits including unlimited vacation and flexible WFH options. #J-18808-Ljbffr

ALLSIDES is redefining how the world experiences 3D content. Focus on deep-tech with offices in Italy and New York, we combine physically accurate scanning and generative AI to power new content creation workflows for e-commerce, virtual environments, and immersive experiences. Our clients include global brands like adidas, Meta, Inditex, Amazon, Zalando, Nike and more. As a research-driven startup, we operate at the forefront of 3D machine learning and visual computing. Using our own scanners, we've built one of the world's largest datasets of photorealistic, relightable 3D assets with accurate ground truth-capturing at production scale (tens of thousands annually) while simultaneously training next-generation AI models. Meta uses our scanning technology for their HOT3D dataset (ECCV 2024). We collaborate with Prof. Cremers at TU München, Prof. Rother at Heidelberg University's Computer Vision Lab, and are advised by Prof. Pietro Perona from Caltech. As a research-driven startup and NVIDIA Inception member, we operate at the forefront of 3D machine learning and visual computing. More info about us and our technology here spotlight at NVIDIA A.I. ***************************************************** Position Overview We are looking for a 3D Machine Learning Engineer with deep expertise in neural rendering, inverse rendering, and generative 3D methods. You will develop learning-based systems that recover high-fidelity geometry and physically-based materials from captured imagery-pushing the boundaries on relighting, material decomposition, and generative reconstruction. This role sits at the intersection of deep learning and graphics. If you want to ship neural 3D systems at production scale while advancing the state of the art, this is for you. Key Responsibilities Build and optimize neural inverse rendering models for geometry and material estimation. Develop relighting and appearance decomposition pipelines using differentiable rendering techniques. Explore generative reconstruction approaches: diffusion-based 3D, feed-forward reconstruction networks, neural scene representations. Tackle challenging scenarios: specular and transparent surfaces, thin structures, complex BRDFs. Write clean, production-ready code and iterate on model quality and inference speed. Work with rendering specialists and system developers to integrate learned components into the pipeline. Engage with enterprise clients to gather requirements and iterate on capabilities. Stay current with CVPR, SIGGRAPH, and related research; identify methods to bring into production. Qualifications Required Master's degree in Computer Science, Computer Vision, Computer Graphics, or a related field. 3+ years of industry experience, preferably in deep-tech or applied ML. Proven track record in neural 3D: NeRF variants, Gaussian splatting, neural inverse rendering, or material decomposition. Experience with differentiable rendering frameworks (Mitsuba, nvdiffrast, PyTorch3D, or similar). Solid understanding of physically-based rendering fundamentals. Proficiency in Python and PyTorch. Demonstrated ability to take models from research to production. Nice to have Experience with generative 3D models (diffusion-based reconstruction, latent 3D representations). Background in classical computer vision: SfM, multi-view geometry, mesh processing. Experience with C++ in performance-critical pipelines. Familiarity with CUDA and GPU optimization. Experience with TensorRT, ONNX, or MLOps practices for model deployment. Published research or open-source contributions in neural rendering or 3D ML. Competitive salary package including stock options. Amazing office space in the Italian Dolomites. Personal and professional growth: own critical parts of our pipeline and help us scale. Flexible working hours and work-from-home policy (1 day/week). Participate in CVPR, SIGGRAPH, and AI/startup conferences globally. Relocation assistance and visa sponsorship. FULL-TIME role located on-site at our Bressanone/Dolomites offices (South Tyrol region, Italy). You don't have to tick every box to apply, your drive and passion matter most! If you're curious, motivated, and ready to learn, send your application to ********************* with your CV (PDF). #J-18808-Ljbffr

Join our mission We're proud to work with many incredible companies, accelerating their ability to build their products. We've spent years watching talented engineering teams lose momentum to the same frustrating bottleneck: waiting. Waiting for CI to finish. Waiting for builds to complete. Waiting for tests to run. After experiencing this pain firsthand at companies of every size, we set out to build the developer infrastructure platform we'd always wanted to use. Something that would seamlessly integrate with our workflows and the tools teams already love-but make everything dramatically faster and more cost-effective. Today, we're already accelerating hundreds of companies around the world, helping them ship features instead of waiting for infrastructure. We've built something that feels almost magical in its simplicity: change your runs‑on line, mount your toolchain cache directory and suddenly your builds are 5x faster. About the role Namespace's approach is low-friction, designed for immediate integration into existing developer toolchains, empowering teams to experience tangible results within just five minutes. With an end‑to‑end stack optimized for high performance-including compute, memory, storage, and networking-Namespace delivers capabilities and efficiencies unmatched by traditional cloud providers. As the Product Engineering Lead for Namespace in the US, you'll establish the US presence for Namespace. Apart from building a high performing team, you'll also lead technical decisions and develop products that significantly enhance developer productivity. You'll build intuitive, performant user‑facing applications and integrations that seamlessly fit into developers' existing workflows, directly impacting their ability to ship faster and more efficiently. What you'll do Serve as the first technical leader for our US presence, setting a high bar for engineering quality, product thinking, and execution Start, build, and lead a small product engineering team in the US Partner closely with product, design, and leadership to translate company goals into clear technical direction and execution plans Act as a bridge between the team in Europe, users, product strategy, and engineering, ensuring we build the right things and build them well Help shape the long‑term technical and organizational foundations for scaling product engineering Own and ship end‑to‑end features that integrate seamlessly with popular developer tools Develop user‑facing applications that make powerful infrastructure intuitive and accessible to developers Collaborate directly with users and partners to deeply understand their workflows, pain points, and product needs Continuously iterate on product design and implementation to drive adoption, performance, and reliability What we're looking for Leadership and management skills to lead high performing ICs Strong software engineering fundamentals, with experience building production‑grade software in languages like TypeScript/JavaScript (React), Go, Python, or similar Proven track record shipping impactful product features, preferably for developer‑focused or infrastructure products Customer‑centric mindset with the ability to translate complex technical solutions into intuitive user experiences Enthusiasm for continuous learning and a collaborative approach to product development You can expect: Competitive salary and stock options Flexible working hours Market‑leading parental leave Life at Namespace Labs: We pride ourselves in being a small team of experts that can achieve a lot. We balance our long‑term vision with short‑term pragmatism. We believe in being fully transparent internally on how decisions are made, on how the company is doing, and we use that information to drive our decisions. #J-18808-Ljbffr

We're assisting a well-funded startup with their search for Product Engineers. Their product is a redeveloped go-to-market workflow that allows sales teams to find warm leads in a more efficient way. This role will be a hybrid role, working onsite Tuesday-Thursday in either their SF or NYC office. They're hiring multiple engineers in this capacity. What you'll do You will own a large scope and be shipping features that makes our customers more successful and the product a delight to use. You will work both across our frontend and backend and own shipping new features end-to-end. Shape both our product roadmap and engineering foundation working with a highly collaborative product, design and engineering team Build new products using the latest tech such as LLMs, React, TypeScript, Vercel, Prisma (PostgreSQL), Temporal, and more. What you'll bring 1+ years of experience in full-stack software engineering with experience shipping lots of features to respected SaaS products Has shipped significant product features in past roles Previous experience as an early startup employee (founder, founding team), an engineer at a reputable and rapidly growing scale up, or as a rapidly promoted engineer at a large tech company Frontend experience (Typescript, React) Backend experience (Node) You are customer-obsessed, creative and hungry. You have experience working closely with customers and quickly shipping features and improvements to help them. Strong interest in building an AI/LLM centric product/features #J-18808-Ljbffr

Pocus exists to supercharge GTM teams. We make every rep a 10x seller. With Pocus, organizations can have fewer, better reps to drive increased pipeline and revenue. How? We've created the world's most powerful, AI-native prospecting platform. Pocus influences nearly half a billion in pipeline per quarter for our customers. We're trusted by high growth companies like Asana, Monday, Canva, and Miro where Pocus powers up to 50% of their pipeline and eliminates 10+ hrs of work per rep per week. Pocus has hundreds of always-on AI agents doing the manual, tedious work of researching & prospecting so that reps can do what they do best: sell. With Pocus AI agents working for them, rep's days are simplified. Reps get alerts when compelling events happen, account plans are generated by AI, and agents recommend who to reach out to with the next best action. We're fortunate to be backed by First Round, Coatue, and execs like CEO Zoom, CPO Adobe, CRO OpenAI, who are helping us usher in this future of sales. The Pocus team is full of humble overachievers that like to move quickly (we call it shiperate), own our work, give customers superpowers, and create magic for our team… all while having a ton of fun. Join us on this next phase of growth! About the role Pocus is a powerful, flexible, and easy to use web application that thousands of users use daily to make critical revenue impacting decisions. This role is responsible for continually improving and delivering value to our end-users while maintaining a high bar on quality and polish. Full-stack engineers have the freedom to work across the stack - from building snappy user experiences in the frontend, to building powerful APIs that interact with our AI platform. We encourage ownership and autonomy and in this role you will work cross-functionally with our Product and Design functions to build products that solve real customer problems. What you'll do Pocus is powered by React and Nextjs. We use Typescript as our primary development language and communication happens via GraphQL. Postgres is our database of choice. Our application works on top of an AI platform powered by agents. As an engineer in this role, you will: Build a web-app that is reliable and extensible: Thousands of individuals use this daily to make critical, revenue-impacting decisions. You will work directly with Product, Design, and Customers to drive value and play a key role in making our product feature-rich, stable, and delightful to use. Have complete autonomy: Extreme autonomy and ownership is how we move so fast. At Pocus, you will have the opportunity to influence every aspect of our product and technology. Work with best-in-class engineering practices: We take immense pride in the craft of our work. We don't skimp on things like code review, developer tooling, documentation, testing, etc. Join an incredible team at a magical time: We're at the beginning stages of explosive growth. Join a passionate, scrappy, and no-ego team of builders that will inspire you every day. What you bring We're a small team and we like to move really fast. We're looking for someone who: Has 5+ years of experience building full stack web applications Is familiar with the react ecosystem and is equally comfortable writing frontend code as well as backend APIs Is not afraid to jump across domains and technology stacks when needed Has a knack for problem-solving and thinking from first principles Loves shipping early, learning from real world usage, and iterating Holds a high bar for quality and simplicity and takes pride in their work Regularly uses AI powered tools like Cursor, Copilot, etc. to increase productivity Compensation & Benefits This base salary for this role is $120,000 to $240,000. Compensation also includes equity and numerous perks and benefits (listed below). Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role) and market demands. The listed range is a guideline, and the range for this role may be modified. Perks and benefits: Best in class medical, dental, and vision plans through our PEO A monthly wellness stipend to help support you in your health goals 401K through Guideline to help you invest in your future Access to mentorship programs through First Round Capital for personal growth and development 10 company holidays and discretionary vacation with a baseline requirement of 2 weeks / year. We work hard but don't want you to burn out! In person offices in NY / SF or a work from home stipend to help you set up your home office DE&I: At Pocus, we're looking for people who are humble overachievers with an ownership mentality and a love for building. If this sounds like you, we encourage you to apply, even if your skills don't perfectly match our job descriptions (especially if you're making a career change or are insanely passionate about AI and the next wave of sales intelligence!). At Pocus, we welcome your diverse backgrounds and celebrate different perspectives that challenge the status quo. We will never discriminate on the basis of religion, color, gender identity, disability, marital status or any other characteristics protected by law. #J-18808-Ljbffr

A leading compensation platform company located in New York is seeking experienced backend engineers to develop robust systems that simplify compensation processes. Candidates should have over 5 years of relevant experience and strong debugging skills, along with a passion for improving developer experience. The role includes shaping developer experience and establishing engineering patterns, offering attractive compensation and benefits in a hybrid work environment. #J-18808-Ljbffr

Join Us in Shaping the Future of Health CareAt MVP Health Care, we're on a mission to create a healthier future for everyone. That means embracing innovation, championing equity, and continuously improving how we serve our communities. Our team is powered by people who are curious, humble, and committed to making a difference-every interaction, every day. We've been putting people first for over 40 years, offering high-quality health plans across New York and Vermont and partnering with forward-thinking organizations to deliver more personalized, equitable, and accessible care. As a not-for-profit, we invest in what matters most: our customers, our communities, and our team. What's in it for you: Growth opportunities to uplevel your career A people-centric culture embracing and celebrating diverse perspectives, backgrounds, and experiences within our team Competitive compensation and comprehensive benefits focused on well-being An opportunity to shape the future of health care by joining a team recognized as a Best Place to Work For in the NY Capital District, one of the Best Companies to Work For in New York, and an Inclusive Workplace. You'll contribute to our humble pursuit of excellence by bringing curiosity to spark innovation, humility to collaborate as a team, and a deep commitment to being the difference for our customers. Your role will reflect our shared goal of enhancing health care delivery and building healthier, more vibrant communities.Qualifications you'll bring: Bachelor's Degree preferred; equivalent experience may be substituted if the candidate can demonstrate significant relevant work experience. Minimum of 5 years in health insurance or equivalent experience in Finance or Project Management. Strong proficiency in problem solving and analysis Ability to use Microsoft Office and Power Point Proficiency in Excel. Must be able to manipulate pivot tables, utilize mathematical formulas, filter data, etc. Excellent presentation skills Proficiency in financial impact analysis Curiosity to foster innovation and pave the way for growth Humility to play as a team Commitment to being the difference for our customers in every interaction Your key responsibilities: Coordinates with Analytics Team to generate performance reporting and associated financial models. Assists Leaders in leveraging of competitive transparency data during contract negotiation and annual performance reviews. Assists with developing contract documents for renewals and/or amendments in compliance with company templates, reimbursement structure standards and other key process controls. Supports the business relationships with Hospital, Physician and Ancillary Facilities. Maintains an inventory of contracts, due dates, term clauses/end dates, spend and services by LOB. Requests necessary data analytics from Informatics to support key business objectives and product objectives where contracting is involved. Keeps and maintains necessary database trackers and a tracking system for department and MVP report outs. Processes forms, tracks and scans signed/executed agreements and amendments. Serves as the primary point of contact for day-to-day issues such as payment issues, authorization issues and contractual language interpretation disputes. Ability to maintain confidentiality and adhere to regulatory compliance issues as they exist and change from time to time. Proactive in identifying areas for efficiency improvement across all of Network Management; consistently challenges the status quo in favor of incremental improvement opportunities that could be achieved through new methods. Contribute to our humble pursuit of excellence by performing various responsibilities that may arise, reflecting our collective goal of enhancing healthcare delivery and being the difference for the customer. Where you'll be: Location: Hybrid to Schenectady, NY or Fishkill, NY Pay TransparencyMVP Health Care is committed to providing competitive employee compensation and benefits packages. The base pay range provided for this role reflects our good faith compensation estimate at the time of posting. MVP adheres to pay transparency nondiscrimination principles. Specific employment offers and associated compensation will be extended individually based on several factors, including but not limited to geographic location; relevant experience, education, and training; and the nature of and demand for the role.We do not request current or historical salary information from candidates. $103,033.70-$137,034.43MVP's Inclusion StatementAt MVP Health Care, we believe creating healthier communities begins with nurturing a healthy workplace. As an organization, we strive to create space for individuals from diverse backgrounds and all walks of life to have a voice and thrive. Our shared curiosity and connectedness make us stronger, and our unique perspectives are catalysts for creativity and collaboration.MVP is an equal opportunity employer and recruits, employs, trains, compensates, and promotes without discrimination based on race, color, creed, national origin, citizenship, ethnicity, ancestry, sex, gender identity, gender expression, religion, age, marital status, personal appearance, sexual orientation, family responsibilities, familial status, physical or mental disability, handicapping condition, medical condition, pregnancy status, predisposing genetic characteristics or information, domestic violence victim status, political affiliation, military or veteran status, Vietnam-era or special disabled Veteran or other legally protected classifications.To support a safe, drug-free workplace, pre-employment criminal background checks and drug testing are part of our hiring process. If you require accommodations during the application process due to a disability, please contact our Talent team at ...@mvphealthcare.com .

We are on a mission to ensure everyone has access to medical expertise, no matter where they are. Half the world still lacks access to quality healthcare. Even in advanced systems, outcomes are uneven, and clinicians are overwhelmed. Medical knowledge grows faster than human capacity can keep up. Corti is building the infrastructure to close that gap. Our AI platform expands access to medical expertise, reducing errors, restoring time to clinicians, and making care more affordable, accessible, and human again. There is no quality healthcare without a quality dialogue, and no reliable AI without a strong foundation. Help us build both. Why Corti? Corti is building the intelligence layer for global healthcare. We give every developer, product team, and healthcare innovator access to medical‑grade AI, so the world can deliver care that is faster, safer, and more human. Built entirely for healthcare and adjacent industries, Corti's models are trained on real‑world data and optimized for precision, safety, and regulatory trust. Through modular APIs, teams can embed medical speech recognition, summarization, reasoning, and much more directly into healthcare products without reinventing the foundation. We power the builders who are redefining how healthcare works, from startups creating new patient experiences to enterprises modernizing the systems that care depends on. If you believe that AI purpose‑built for medicine will define the next century of healthcare, you belong at Corti. The Role We're already expanding our brand‑new Activation Team to transform technical potential into clinical impact-faster. Our mission: accelerate technical activation, remove friction, and spark long‑term engagement. As a Developer Relations Engineer, you'll sit at the crossroads of product, engineering, and customer success. You'll be the catalyst that transforms new signups into thriving, long‑term users of our healthcare API infrastructure. Think of yourself as the bridge between first impressions and enduring value-making sure every customer, whether technical or non‑technical, gets started with confidence, efficiency, and impact. This role is at the heart of Corti's customer journey: you'll build trust, grow utilization, and uncover opportunities that shape the future of healthcare AI. What you'll be doing Drive technical onboarding: Own the customer journey from day one, ensuring seamless integration of our API platform and unlocking maximum value for both named accounts as well as users that sign up through our Product Led Growth funnel. Be the trusted technical partner: Act as the primary point of contact, proactively troubleshoot issues, and collaborate with internal teams to resolve complex API challenges. Keep the system healthy: Monitor day‑to‑day activity in our ticketing system, spotting issues before they become blockers. Strengthen relationships: Drive customer and partner success through discovery calls, strategic support, and technical growth planning Build knowledge at scale: Create and maintain documentation, guides, and resources that empower customers to solve problems independently. Drive product adoption: Promote healthy usage and identify opportunities where customers could benefit from expanded services or solutions. Fuel go‑to‑market success: Partner with GTM teams to strengthen technical relationships, set realistic expectations, and foster excitement. Collaborate cross‑functionally: Work daily with Product, Engineering, and GTM teams to ensure customer needs translate into product evolution. What you bring Experience that counts: 3+ years in technical customer success, support, or similar roles-ideally in API or SaaS environments. Language skills: Fluency in English and German (C1 minimum) will be required Technical fluency: Skilled at troubleshooting, with proficiency in at least one programming language (e.g. Python, JavaScript) and a strong understanding of RESTful APIs. Clear communicator: Able to break down complex technical concepts for both engineers and non‑technical stakeholders. Curious problem‑solver: Eager to tackle challenges, remove roadblocks, and learn continuously. Adaptability: Thrives in ambiguity, comfortable in fast‑paced, evolving environments. Bonus points: A passion for AI, customer experience, and healthcare innovation. Life at Corti You will be reporting to VP of Customer Experience The position is full‑time and starts as soon as possible. Offices in New York, Copenhagen and London Equipment provided by Corti Hybrid working Ready to dive into the world of Corti? Hit that 'Apply' button, and let's start working together on reshaping the dialogue in healthcare, making a real difference for millions of patient outcomes around the world. 🤝 Bringing in top talent from all backgrounds is crucial in our pursuit to improve the world of healthcare. We encourage applications from all people and do not discriminate based on race, religion, national origin, gender, sexual orientation, age, and/or disability status. At Corti, experience comes in many forms, and we're passionate about creating teams with a multitude of perspectives! If you believe your experience is close to what we're looking for but not an exact match, we still hope you'll consider applying! #J-18808-Ljbffr

A growing tech company in Chicago is seeking a versatile Product Engineer to own projects from start to finish. The ideal candidate is comfortable with a wide range of tasks and will collaborate closely with product teams to implement features. This role offers a fast-paced environment, automated tooling, and opportunities to influence product design. Benefits include competitive salary, unlimited PTO, and a strong commitment to diversity. #J-18808-Ljbffr

Zora is a new kind of on-chain social network where you can express yourself freely, connect with others, and discover the value of your imagination. We believe that by using crypto, we can enable a more equitable system for creators, fundamentally rediscovering the power of the internet. About The Role: We're looking for an experienced protocol engineer to join our Trade team, building the experiences that power hundreds of millions in on-chain volume on Zora. In this role, you'll be responsible for designing, implementing, and maintaining the core smart contracts contributing to the evolution of Zora's protocol layer. You'll build protocol components for onchain trading/market infrastructure on Zora with creator markets, Uniswap integration, and various vesting and rewards contracts, with safety and UX constraints aligning with Zora's needs What You'll Do: Contribute to the Zora protocol by designing and implementing smart contracts Handle maintenance, security review, and full protocol lifecycle Write adversarial tests (fuzzing, invariant/property-based testing) and maintain a security-first mindset in development and review Partner with auditors and respond to findings; drive fixes through deployment Participate in RFC and code review process with a security and reusability mindset Collaborate across engineering teams to integrate smart contracts across the stack Communicate status, updates, blockers, etc., to cross-functional stakeholders What We're Looking For: 4+ years of experience shipping production-level contracts or protocol features Experience with DeFi protocols Deep understanding of EVM Familiarity with Git, Foundry, Hardhat and modern solidity toolchains Experience with formal/invariant thinking, MEV considerations, upgrade safety, and incident response Comfort moving across the stack when needed (TypeScript / React / Next / Python) High degree of ownership and autonomy Strong communication and collaboration skills, across both technical and non-technical teams Here's the Pay Range: At Zora, we carefully consider a variety of factors to determine compensation for each position, including the role, level, and work. The US base salary range for this position is: Pay Range: $200,000 - $300,000 base salary + equity + tokens This reflects the compensation target for new hire salaries for the position across all US locations. Please note, the compensation details provided do not include benefits and perks that we offer. We also rely on market indicators along with considering your work location, job related skills, experience and relevant education and training, to determine compensation that is fair and competitive for you. Zora will consider paying compensation near the higher of the range in exceptional circumstances, where candidates have the experience, credentials or expertise that would warrant such consideration. It is always our goal to hire exceptional talent and we would be happy to share more about compensation during the hiring process. Zora is an Equal Opportunity Employer. We do not discriminate against qualified applicants or employees on the basis of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by federal, state, or local law, rule, or regulation. Why Join Us? US-based, full-time employees are eligible for the following: Remote-First Culture:Work from anywhere in the world! Competitive Compensation:Including salary, pre-IPO stock options, token compensation, and additional financial incentives Comprehensive Benefits:Robust healthcare options, including fully covered medical, dental, and vision for employees Retirement Contributions:Up to 4% employer match on your 401(k) contributions Health & Wellness:Free memberships to One Medical, Teladoc, and Health Advocate Unlimited Time Off:Flexible vacation policies, company holidays, and recharge weeks to prioritize wellness Home Office Reimbursement:To cover home office items, monthly home internet, and monthly cell phone (if applicable) Ease of Life Reimbursement:To cover everything from an Uber home in the rain, childcare, or meal delivery Career Development:Access to mentorship, training, and opportunities to grow your career Inclusive Environment:A culture dedicated to diversity, equity, inclusion, and belonging Our Location: Zora is remote-first and international. Our headquarters are the internet and we have employees all over the world. We're currently in Los Angeles, New York, San Francisco, Sydney, Berlin, Lisbon, and Vancouver. Zora is a decentralized, on-chain social network where every post and profile is a tradable token, aiming to create a new creator economy. It allows creators to monetize their content directly by turning posts into unique, tradable ERC-20 tokens, which can be bought, sold, and collected. #J-18808-Ljbffr

We invite you to discover the excitement, diversity, rewards and excellence of a career at TRITECH Communications. With $100 million in annual revenues and 350+ employees, TRITECH is one of the nation's leading technology system integrators serving clients in corporate, education, healthcare and government industries. Our OneSource business model provides clients with a single source for the design, installation and maintenance of large / complex Audio Visual, Communications, PoE Lighting and Electronic Security Systems. Our corporate headquarters is located in Garden City, NY and the company operates four regional operations centers in New York City, Boston, Miami, Tampa and Washington DC. The AV Design Engineer will be responsible for executing and leading the full design process from ideation to production. You will draw new designs and update our current designs for new and current customers. Additionally, you will provide engineering support to our technical staff for design/build engagements. Responsibilities Lead the development of preliminary system design drawings, construction documents, equipment specifications and cost proposals. Work with our business units and end users to lead the technology design and discussion, analyze current client technology, listen to goals and challenges to help achieve desired outcomes. Create sales proposals in coordination with Estimating team for clients. Work with Program Manager and Project Team to verify system functionality through out implementation process. Develop and maintain knowledge of current and new technologies. Provide sales and technical staff with lessons learned on both a pre and post sales basis. Qualifications: Minimum 5 years working experience in the audio-visual or electronics field Preferred experience in the architectural or construction design space CTS and CTS-D certification preferred Proficiency in CAD and Microsoft Office Suite Ability to manage multiple tasks and priorities Ability to create architectural plans and modify architects' drawings to incorporate into systems. Excellent written and verbal communication skills with internal and external stakeholders TRITECH is an Equal Opportunity Employer

A leading blockchain technology firm is seeking a Staff Engineer to join their Platform Engineering Group in New York. This role involves maintaining and advancing EVM-compatible chains, with responsibilities including designing innovative extensions on vanilla EVMs. Ideal candidates will be proficient in Golang, have independent Solidity experience, and a deep understanding of the EVM transaction lifecycle. The salary range is competitive and reflects the crucial nature of this position within their innovative environment. #J-18808-Ljbffr

A creative goods marketplace is seeking a Staff Software Engineer I to drive the Experimentation initiative. You will enable data-driven learning and help build critical services for experimentation. Responsibilities include leading, mentoring, and ensuring the platform meets industry standards. The ideal candidate has extensive experience with A/B testing frameworks, coding in PHP, Python, or Java, and familiarity with cloud services. This is a full-time position with competitive benefits in a collaborative work environment. #J-18808-Ljbffr

ABOUT ROCKET MONEY Rocket Money's mission is to empower people to live their best financial lives. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money - ultimately giving them a leg up on their financial journey. ABOUT THE TEAM Machine Learning Engineers at Rocket Money further our mission by building products that deepen customer relationships with our many financial products. Our work ranges from transaction enrichment to personalization to cross-functional tools that support various AI product initiatives. We work closely with product teams to develop features that help customers understand, track, and improve their personal finances. We have a strong preference for team players that are comfortable collaborating across teams, know how to support strategy with ML and AI powered user experiences, can deliver scalable and high quality user experiences, and understand the effects of their products on end users. At the Staff level, Machine Learning Engineers are expected to build broad expertise into our products and the ML solutions that power them as well as drive technical progress for the team. ABOUT THE ROLE As a Staff Machine Learning Engineer at Rocket Money, you will be at the forefront of our ML and AI product development, bringing your expertise to design, implement, and maintain sophisticated ML systems that drive our product experiences. You will : Lead the architecture and development of complex AI and ML powered features across Rocket Money's product suite, proactively identifying technical challenges before they become issues. Design, implement, and maintain robust evaluation frameworks. You ensure that ML / AI systems can be constantly improved and create frameworks so that others can do the same. Develop novel new product experiences that you are uniquely positioned to enable for users. Help Rocket Money capitalize on it's unique dataset and scale. Guide others to help generate impact through effective technical leadership and partnership with product. Own end to end development and implementation of ML and AI product features in collaboration with cross-functional product development teams. Rigorous technical critique and oversight coupled with effective communication of business impact are musts. Provide technical mentorship, fostering an environment where everyone can contribute to high-impact work. You will raise the level of everyone around you. Potential Projects Develop comprehensive evaluation and ML Ops frameworks that enable systematic assessment of model performance, supporting rapid iteration and improvement of AI / ML product features. Scale transaction metadata generation systems to billions of financial transactions in a consumer facing app. Implement AI assisted transaction management and personalization features such as personalized categories, income and rent detection, and subscription identification. Implement effective user feedback mechanisms that enable measurement of ML feature product quality and constant improvement. Architect user facing predictive features that depend on fast moving and large scale user transaction data. ABOUT YOU 8+ years of professional experience in machine learning engineering or data science roles, with a proven track record of designing and implementing ML systems at consumer tech scale and speed. Extensive hands-on experience integrating ML and AI methods into production workflows, including creating evaluation tooling and effective user feedback mechanisms to support rapid product development cycles and systematic model evaluation. Experience with prompt engineering and management, creating robust systems for testing and optimizing LLM-based applications. Expert-level proficiency in Python, SQL, and at least a handful of common ML frameworks. Working Typescript knowledge is a plus. You understand ML methods at a fundamental level - deep experience in NLP techniques is a plus. You are a master at taking ambiguous problems, creating clarity, and breaking down work into manageable chunks for implementation. You've owned the development, launch, and maintenance for several scaled ML / AI powered product experiences. You understand basic software engineering and computer science fundamentals and have applied them at consumer grade scale to build ML powered products in production environments. You are a technical leader who can identify both emergent technical opportunities and gaps relative to best practice. Your strong communication skills enable your team to capitalize on these opportunities and generate impact. You care about products and user experiences, not publications. You are a practitioner first and thrive at the (messy) intersection of the real world and cutting edge approaches. WE OFFER Health, Dental & Vision Plans Competitive Pay 401k Matching Unlimited PTO Lunch daily (in-office only) Snacks & Coffee (in-office only) Commuter benefits (in-office only) Additional information: Salary range of $210,000 - $260,000 / year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience. Rocket Money is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. #J-18808-Ljbffr

To be eligible to enlist in the U.S. Navy, candidates must be between the ages of 18-34 The most powerful energy sources in the world need the most powerful minds behind them. As a Nuclear Reactors Engineer, youll be responsible for researching, designing, maintaining, operating and regulating the nuclear reactors and power plants that drive the most advanced fleet of submarines and aircraft carriers on Earth. Here, you can fuel a passion for problem-solving by defining and redefining the cutting edge of nuclear propulsion, while setting the standard in nuclear reactor research and regulation. RESPONSIBILITIES Naval Reactors Engineers have oversight of the Navy's entire fleet of nuclear-powered ships as well as shore-based prototypes and nuclear propulsion support facilities for Americas Navy. The wide array of technical areas involved in the Naval Nuclear Propulsion program include: Reactor and fluid systems design Reactor physics Materials development Component design such as steam generators, pumps and valves Instrumentation and control of reactor, steam and electric plants Testing and quality control Shielding Chemistry and radiological controls As a Navy Reactors Engineer stationed at Naval Reactors Headquarters in Washington, D.C., you will provide technical oversight while managing projects ranging from reactor design to fleet operations to de-fueling and decommissioning warships. PAY AND BENEFITS From the day you start, youll receive: Competitive salary Free health insurance Free housing A retirement plan 30 days paid vacation per year EDUCATION OPPORTUNITIES In addition to the best-in-class training and state-of-the-art facilities, current undergrad students who meet the prerequisite background will also get the chance to get paid while finishing school through the Nuclear Propulsion Officer Candidate (NUPOC) program. Students in majors like mathematics, engineering, physics and chemistry may receive preferred acceptance into the program. If accepted into the NUPOC program as an aspiring Naval Reactors Engineer, you can: Receive a salary in excess of $4,000 per month for up to 18 months prior to your college graduation Receive an immediate one-time sign-on bonus of $15,000 Enjoy military health care benefits while you are a student in the program Postgraduate Education Opportunities As a Naval Reactors Engineer, once youre out of school youll have a position waiting as a respected professional and Officer affiliated with the most accomplished nuclear program on earth. Beyond undergraduate and formal Navy training and education, you can pursue additional graduate education through the following: Post-9/11 GI Bill Navy Tuition Assistance Program Completing Joint Professional Military Education (JPME) at one of the various service colleges Using Tuition Assistance to attend online or in-person graduate programs during shore assignments. Navy College Program VOLED Assistance Center VOLED Region Advisors The Naval Postgraduate School (NPS) Navy War College (NWC) USAF Air University Air Command and Staff College QUALIFICATIONS AND REQUIREMENTS U.S. citizen between the ages of 19 and 29. Exceptions may be possible up to age 40. Graduate or current student pursuing a B.A., B.S. or M.S. (preferably major in mathematics, engineering, physics, chemistry or other technical areas). Those still in school may apply as early as 18 months from completion of an undergraduate degree for Naval Reactors Engineers. Applicants may also join the NUPOC program as early as 12 months from completion of a master's degree. Additional academic requirements include: Completed one academic year of calculus Completed one academic year of calculus-based physics A competitive GPA and a minimum grade of "B" in all technical courses General qualifications may vary depending upon whether youre currently serving, whether youve served before or whether youve never served before. WORK ENVIRONMENT Preliminary training and eventual staff assignments center around Naval Reactors Headquarters at the Navy Yard in Washington, D.C. At Headquarters, you will be a part of an elite, streamlined staff of roughly 500 people who oversee the entire Naval Nuclear Propulsion Program from cradle to grave. Even junior-level Naval Reactors Engineers assume responsibility for key technical work in a variety of state-of-the-art facilities, including: Two Department of Energy laboratories Two nuclear prototype/training sites Nearly 100 nuclear-powered ships and submarines Six shipyards More than 1,000 firms that support the Naval Reactors Program RequiredPreferredJob Industries Government & Military