Product engineer jobs in Plainfield, NJ - 4,723 jobs

Chronograph was founded to bring next-generation technology to private capital markets. Our cloud-based analytics and data management suite empowers top venture capital, private equity, and credit funds worldwide to analyze their investment performance in detail, with over $20 trillion of AUM monitored via our solution suite. At Chronograph, we have the unique opportunity to work with investors who are driving some of the most impactful changes in start-ups, global infrastructure, renewable energy, and growth equity. With backing from The Carlyle Group, Nasdaq Inc., and Summit Partners, Chronograph has grown rapidly since its inception in 2016. The Opportunity As a key member of our team, you will lead and deliver projects from concept to production; driving core technical direction while working closely with key stakeholders. Our engineering teams collaborate daily with product managers and designers to build exceptional software. An ideal candidate for this role will have both sharp technical skills and a keen product sensibility. You'll join a highly-driven team of engineers, contributing both as a technical leader and a hands-on full-stack developer. Our platform handles critical financial data, offering extensive workflow and data analysis tools along with an innovative data ingestion platform. This is an opportunity to make a real-world impact: you will tackle challenging technical problems and contribute to a platform relied upon by leaders in the private equity space. Even if you do not meet all criteria, we encourage you to apply! Chronograph offers an open and supportive environment where all are encouraged to grow and learn through their work. As a Tech Lead at Chronograph, you will: Own and lead technical projects from product ideation to successful execution, including: technical decisions, architectural designs, data structures, and development approach Collaborate with engineering, product, and design to architect high-performance and user-centric features to drive direct client impact among leaders in the private equity space Champion platform reliability and data integrity while maintaining development velocity, making thoughtful decisions that advance both technical quality and product outcomes Mentor and provide guidance to engineers across all levels, with opportunities to grow into direct people management, fostering a culture of continuous learning and developing future technical leaders Identify new technologies and best practices to promote a culture of continuous improvement You will be successful in this role if you have: At least 9 years of professional development experience, with a proven track record of leading complex technical projects Expertise in Typescript, Node, PostgreSQL and GraphQL, in particular schema and API design Fluency in frontend frameworks and patterns such as React and React Query Aptitude for navigating ambiguity and designing solutions that account for cross-system implications-spanning data models, validations, application logic and user workflows Excellent leadership and communication skills, with demonstrated ability to drive consensus across stakeholders and distill complex technical concepts for diverse audiences A track record of balancing technical solutions with business outcomes, making thoughtful tradeoffs that serve both immediate needs and long-term platform health Nice-to-haves: Background in building computation-heavy services where accuracy and performance are imperative Experience expanding complex data models to fit evolving application use cases Passionate about emerging tools that improve developer velocity, including AI-assisted coding Why Join Chronograph? We value creativity, open communication, and cutting edge technology - and we try to have fun along the way. We want you to be happy here for the long-term and will work with you to ensure you're achieving your career goals. We offer: Equity Participation Flexible work arrangements (including remote / in person / hybrid) 401(k) Unlimited and flexible vacation Company-wide team events at our Brooklyn, NY headquarters three times a year for all employees Fully-paid parental leave ...and more! Chronograph is committed to promoting a diverse and inclusive culture, and we welcome applicants from all backgrounds. If you're a team player who wants to have an outsized impact in a dynamic and diverse environment, we'd love to hear from you! Salary Range (dependent on experience) $185,000 - $245,000 USD #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

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

Job Title: Mechanical Engineer - Energetic DevicesJob Description As a Mechanical Engineer specializing in energetic devices, you will design, analyze, and prototype components such as actuators, igniters, and propulsion systems using advanced mechanical engineering principles. You will be responsible for performing mechanical stress, thermal, and dynamic analysis to ensure safety and optimal performance of these components. Your role will involve collaborating with chemists, electrical engineers, and systems engineers to integrate energetic systems into broader platforms, developing and executing tests and qualification procedures, and preparing technical drawings and specifications. Your designs must comply with regulatory, safety, and quality standards for handling and deployment of energetic materials. Responsibilities + Design, analyze, and prototype energetic devices using mechanical engineering principles. + Perform mechanical stress, thermal, and dynamic analysis on energetic components. + Collaborate with chemists, electrical engineers, and systems engineers to integrate systems. + Develop and execute tests and qualification procedures for energetic devices. + Prepare and review technical drawings, specifications, and test reports. + Ensure designs comply with regulatory, safety, and quality standards. + Support failure analysis and root cause investigations for existing components or systems. + Maintain knowledge of current technologies, materials, and best practices in energetics. Essential Skills + Bachelor's degree in Mechanical Engineering or related field. + 3+ years experience in mechanical design. + Proficiency with CAD software (SolidWorks, CATIA, or similar). + Experience with FEA and mechanical analysis tools. + Strong understanding of materials science, thermodynamics, and dynamics. + Knowledge of safety standards and regulations for energetic materials. + Excellent problem-solving, documentation, and communication skills. Additional Skills & Qualifications + Master's degree in Mechanical Engineering or related field. + Prior experience with high-impact or high-acceleration testing. + Familiarity with pyrotechnic initiators, pressure cartridges, or energetic actuators. + Experience in cross-functional engineering teams. Work Environment You will join a dynamic team of 8 engineers, primarily composed of mechanical engineers, with one electrical engineer. The environment is collaborative and focused on custom designs within the aerospace industry. Dress code is business casual, and you will report directly to the Engineering Manager. Job Type & Location This is a Contract position based out of Fairfield, NJ. Pay and Benefits The pay range for this position is $40.00 - $50.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: - Medical, dental & vision - Critical Illness, Accident, and Hospital - 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available - Life Insurance (Voluntary Life & AD&D for the employee and dependents) - Short and long-term disability - Health Spending Account (HSA) - Transportation benefits - Employee Assistance Program - Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in Fairfield,NJ. Application Deadline This position is anticipated to close on Jan 16, 2026. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing due to a disability, please email actalentaccommodation@actalentservices.com (%20actalentaccommodation@actalentservices.com) for other accommodation options.

Amazon created one of the most sophisticated supply chains in the world. From the introduction of Amazon Prime, to the use of advanced technology for package delivery; Amazon consistently drives change from the front of the pack. As an Amazon Logistics [AMZL] Operations Engineer, you will lead and manage the lifecycle of challenging cross-functional projects, developing and delivering the next generation of sortation and distribution solutions. You are a customer obsessed leader that will play an integral part in planning and implementation of the facility network infrastructure including new builds, retrofits, expansions and program initiatives. Partnering with internal customers and internal/external stakeholders to engage as a team and ensure a timely handover will be part of your critical tasks. Key competencies of this position include insisting on the highest standards ensuring that contracted resources meet schedule, budgetary, safety and driving quality targets; analyzing and deep diving systems performance, inventing and simplifying solutions that allow for improved processes and results; and providing technical expertise to internal customers and stakeholders. Key job responsibilities -Work independently with internal and external teams to successfully manage the lifecycle of the challenging projects, and act as owner in delivering on projects objectives and targets. Projects may span organizations or geographies in support of business objectives. -Actively participate in firm engineering reviews, and make tangible impact on the proposed solutions on an individual system or its components, on the overall systems architecture, and on facility processes . -Partner with internal teams, stakeholders and external vendors to set project priorities, establish milestones, and drive schedules to meet deadlines. Proactively assess stakeholders' dependencies and milestones, problem-solve and drive solutions to mitigate the impact from the issues. -Lead and coordinate all execution efforts in delivering systems and automated equipment designs per established standards and guidelines. Perform equipment/systems installation, throughput and safety qualifications. Simplify, optimize, remove bottlenecks and provide feedback while resolving difficult system problems or technical deficiencies. -Lead effective meetings by setting the objectives, putting the right people in the room and driving detailed business and technical discussions/alignment. Document meetings discussions, decisions and future steps ensuring alignment on expectations with internal partner teams and outside vendors. -Promptly and accurately communicate project status, risk analysis and risk mitigation plans. Effectively answer project questions in detail, and regularly produce clear and concise summaries for the projects to leadership/management team. -Competently articulate system and/or equipment designs, including layouts, technical specifications and functional capabilities, to internal customers and partner teams. -Efficiently manage change order controls, purchase orders, and invoice validation/approvals. -Excel at building strong working relationships with internal and external stakeholders across multiple projects -Identify and lead process improvement initiatives that improve the Engineering and cross-teams' efficiencies, optimizing the teams' value and delivery. Through collaboration, generate high-quality, cost-effective solutions in compressed periods of time. -Travel up to 80% domestically although travel intensity can be variable and consist of up to three weeks in a row, including weekends. A day in the life You are managing quality of implementation through multiple projects that can vary in scope, complexity and duration. Daily tasks may comprise of site coordination with operations teams and contractors on project execution activities or changes; deep diving project progress, schedule and resources, while identifying barriers, creating solutions and driving resolutions. You may be facilitating the planning and/or implementation meetings with projects' stakeholders, ensuring alignment in objectives, expectations, and the next steps; you would capture and publish detailed notes after each meeting to drive ownership and follow-through on the actions and decisions. Reviewing/approving audit mechanisms and documentation is one of the essential tasks, and you may be tracking the programmatic week on week installation opportunities with the internal automation teams. You may be brainstorming and developing workaround solutions while mitigating the project delays or design issues. As a part of the acceptance testing you may be performing systems installation quality, safety, throughput and performance qualifications, frequently communicating the progress to internal and external stakeholders. In addition, you may be supporting/training other engineering team members, utilizing the knowledge of Amazon's safety, mechanical, electrical and controls installation standard and guidelines. About the team At Amazon, we are all Owners and leverage unique opportunities presented to us by owning everything from firm engineering to project execution and final hand-off to our customers. We are a diverse, upbeat, creative team of engineers and managers working on a daily basis to ensure that our internal customers have capabilities to deliver on the Customer Promise. We not only build, but we are also consistently improving our capabilities at Amazon. Continuous improvement is the ongoing enhancement of our systems designs, through incremental and breakthrough developments. We are continually raising the quality bar, and are never satisfied. We seek to improve through captured lessons learned, that are incorporated back into our mechanisms as a way to perpetually improve upon the next design and processes iterations. We continually learn, grow and develop throughout the organization and our Subject Matter Expertise is leveraged globally. We are the Team! We collaborate, support, help and leverage each other in delivering on the business objectives. Basic Qualifications - Bachelor's Degree in Industrial Engineering, Electrical Engineering, Mechanical Engineering, or other STEM field. - 4+ years of experience as a project engineer, process engineer, project manager, manufacturing engineer, or related occupation. - Experience with leading projects, programs or initiatives with continually increasing scope and impact. - Experience managing the lifecycle of cross-functional projects, implementing automated equipment and/or integrated systems. - Experience with CAD software (AutoCAD, REVIT, BIM 360, etc.). Preferred Qualifications - Master's degree in Engineering, Operations or a related STEM field. - Operations Management/Distribution Center experience with direct management or responsibility for material handling, automation, or other technical projects. - Experience with Six Sigma and/or Lean Manufacturing. - Experience with Microsoft Project, Smartsheet programs. - Experience with design and/or implementation automation solutions, such as Conveyors, Sorters, high speed manufacturing and packaging lines, Robotic work cells. - Proven technical leadership for industrial engineering projects or programs. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $68,900/year in our lowest geographic market up to $126,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************* . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Licensed Mechanic / Engineer - Allen Hospital The Licensed Engineer ensures efficient and twenty-four-hour operation of equipment and utilities for the hospital's Facilities operation. Inspects buildings, grounds, and systems to ensure the maintenance of service utilities. Personnel understands the interactions required between the Boilers, HVAC equipment, and their effect on operating systems and comfort. Maintains and monitors all hot water, steam, utilities, fire, and fire safety systems by local, state, and federal codes. Responsible for evaluating situations, correcting problems, initiating, and making referrals via phone, email, and text to appropriate specialists, contractors, and departments as necessary. Evaluates and assesses works from prints or drawings. Inspect, monitor, and test mechanical systems associated with lighting, heating, air-Conditioning, plumbing, ventilation, medical air, fire & life Safety, pneumatic tube system, drainage, and water supplies to ensure maintenance. Makes emergency repairs pneumatic, mechanical and electrical systems to prevent or stop interruptions of utility services. Maintains, records, and reports all daily activities by logging all work completed, including any unusual conditions arising during the shift. This is a full time position, Tuesday-Saturday 8am-4pm with rotating holidays, located at NewYork-Presbyterian/ Allen Hospital. Required Criteria High School Diploma or GED Minimum of four (4) years of general maintenance experience in plumbing, Electrical systems and Heating, Ventilation and Air-Conditioning (H.V.A.C.) Experience with shop tools, pipe threading, electric drills, rotary hammers, steam pressure reducing valve stations, etc New York State Refrigeration Machine Operators License Q-01 New York City Fire Department Certificate of Fitness for Operation and Maintenance of Air CompressorG-35 - Must be obtained during probation within 90 days of hire New York City Fire Department Certificate of Fitness for Fuel-Oil Piping and Storage System P-98 - Must be obtained during probation within 90 days of hire New York City Fire Department Certificate of Fitness for Torch Use of FlammableGasesG-60 - Must be obtained during probation within 90 days of hire New York City Fire Department Certificate of Fitness for FireguardF-60 - Must be obtained during probation within 90 days of hire New York City Fire Department Certificate of Fitness Supervision of Fire Alarm Systems S-95 - Must be obtained during probation within 90 days of hire New York City Fire Department Certificate of Fitness Supervision of Fire Alarm Systems S-12 -Must be obtained during probation within 90 days of hire New York City Fire Department Certificate of Fitness Supervision of Fire Alarm Systems S-13 - Must be obtained during probation within 90 days of hire New York City Fire Department Certificate of Fitness for Supervision of Piped Non-Flammable Medical Gases G-71 - Must be obtained during probation within 90 days of hire Join a healthcare system where employee engagement is at an all-time high. Here we foster a culture of respect, belonging, and inclusion. Enjoy comprehensive and competitive benefits that support you and your family in every aspect of life. Start your life-changing journey today. Please note that all roles require on-site presence (variable by role). Therefore, all employees should live within a commutable distance to NYP. NYP will not reimburse for travel expenses. __________________ 2024 "Great Place To Work Certified" 2024 "America's Best Large Employers" - Forbes 2024 "Best Places to Work in IT" - Computerworld 2023 "Best Employers for Women" - Forbes 2023 "Workplace Well-being Platinum Winner" - Aetna 2023 "America's Best-In-State Employers" - Forbes "Silver HCM Excellence Award for Learning & Development" - Brandon Hall Group NewYork-Presbyterian Hospital is an equal opportunity employer. Salary Range: $50.84-$54.08/Hourly It all begins with you. Our amazing compensation packages start with competitive base pay and include recognition for your experience, education, and licensure. Then we add our amazing benefits, countless opportunities for personal and professional growth and a dynamic environment that embraces every person. Join our team and discover where amazing works.

At Pave, we're building the industry's leading compensation platform, combining the world's largest real-time compensation dataset with deep expertise in AI and machine learning. Our platform is perfecting the art and science of pay to give 8,500+ companies unparalleled confidence in every compensation decision. Top tier companies like OpenAI, McDonald's, Instacart, Atlassian, Synopsys, Stripe, Databricks, and Waymo use Pave, transforming every pay decision into a competitive advantage. $190+ billion in total compensation spend is managed in our workflows, and 58% of Forbes AI 50 use Pave to benchmark compensation. The future of pay is real-time & predictive, and we're making it happen right now. We've raised $160M in funding from leading investors like Andreessen Horowitz, Index Ventures, Y Combinator, Bessemer Venture Partners, and Craft Ventures. Research & Design Org Pave's R&D pillar includes our data science, engineering, information technology, product design, product management, and security teams. This organization builds, maintains, and secures a platform used by more than 8,500+ client organizations. Our engineering team moves between ideation, scoping, and execution in a matter of days while closely iterating with cross‑functional partners on requirements. At Pave, we use TypeScript, Node.js, and React, hosted on GCP. Compensation strategy is broken down into three pillars - compensation bands, planning workflows, and total rewards communication. We build products that make these processes seamless for customers. Over the next year, our roadmap is focused on enhancing the entire compensation lifecycle: from philosophy definition to market trend analysis, band adjustments, merit cycles, and employee communication. We're seeking passionate engineers who are excited about building robust, data‑rich systems that simplify complex compensation processes at scale. The Data Team @ Pave As part of the Data team at Pave, you will help us redefine how companies understand the labor market and determine compensation. Even the most innovative tech companies in the world often use spreadsheets full of flawed statistics to determine how to pay. At Pave, we've built a system of real‑time integrations that allow us to bring best practices from machine learning, data science, software tooling, and AI to an industry that is built on data, but doesn't have the tools it needs to fully leverage it. What You'll Do Architect and implement scalable ML systems for modeling compensation within a single company and across the market as a whole Collaborate with product and engineering teams to identify additional opportunities to leverage ML‑driven solutions Help evolve the technical direction of ML initiatives across the company Drive millions of dollars of revenue growth What You'll Bring 5+ years of experience building and deploying ML models in production environments Strong foundation in machine learning, statistics, and deep learning fundamentals Expertise in Python and modern ML frameworks (PyTorch, TensorFlow, or similar) Experience with large‑scale data processing and ML model optimization Experience with MLOps practices and tools (model versioning, monitoring, and deployment) Strong software engineering practices and experience with production systems Expert‑level SQL skills with experience writing complex queries and optimizing query performance Ability to navigate (and bring structure to) ambiguity; ability to bring a project from 0 to 1, or scale a project from 1 to 100 Compensation Salary is just one component of Pave's total compensation package for employees. Your total rewards package at Pave will include equity, top‑notch medical, dental, and vision coverage, a flexible PTO policy, and many other region‑specific benefits. Your level is based on our assessment of your interview performance and experience, which you can always ask the hiring manager about to understand in more detail. This salary range may include multiple levels. The targeted cash compensation for this position is (level depends on experience and performance in the interview process): P3: $195,000 - $215,000 P4: $230,000 - $250,000 Life @ Pave Since being founded in 2019, Pave has established a robust global footprint. Headquartered in San Francisco's Financial District, we operate strategic regional hubs across New York City's Flatiron District, Salt Lake City, and the United Kingdom. We cultivate a vibrant, collaborative workplace culture through our hybrid model, bringing teams together in‑person on Mondays, Tuesdays, Thursdays, and Fridays to foster innovation and strengthen professional relationships. Benefits Complete Health Coverage: Comprehensive Medical, Dental and Vision coverage for you and your family, with plenty of options to suit your needs Time off & Flexibility: Flexible PTO and the ability to work from anywhere in the world for a month Meals & Snacks: Lunch & dinner stipends as well as fully stocked kitchens to fuel you Professional Development: Quarterly education stipend to continuously grow Family Support: Robust parental leave to bond with your new family Commuter Assistance: A commuter stipend to help you collaborate in person Vision & Mission Our vision is to unlock a labor market built on trust. Our mission is to build confidence in every compensation decision. Equal Employment Opportunity As set forth in Pave's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. If you believe you belong to any of the categories of protected veterans listed below, we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. #J-18808-Ljbffr

# **Our Privacy Statement & Cookie Policy**Lead Product Engineer (Full Stack), Materia AI page is loaded## Lead Product Engineer (Full Stack), Materia AIremote type: Hybridlocations: United States of America, Brooklyn, New Yorktime type: Full timeposted on: Posted Todayjob requisition id: JREQ197053**Lead Product Engineer (Full Stack), Materia AI** **Innovate in a Startup-Like Environment** Be part of a fast-moving, forward-thinking group that is creating AI-driven software for accounting professionals. You'll join a team of top engineers and AI developers, leveraging cutting-edge technology to build intelligent and scalable systems. This role is for the CoCounsel for Accounting team, formed from the recent acquisition of the startup Materia.**Create Impactful, AI-Driven Experiences** Lead full stack initiatives-from React interfaces to Python-based AI services and APIs. You'll architect and implement complete features that bring generative AI capabilities to life, alongside core product capabilities that streamline and modernize accounting workflows. Crafting both the user-facing experiences and the intelligent systems that power them, your work will shape how thousands of accounting professionals leverage AI and modern software in their everyday workflows. **Collaborate Across Functions** Work closely with product managers, designers, and AI specialists to deliver elegant, high-performance features. Your ability to translate complex requirements into complete solutions-beautiful interfaces backed by robust APIs and services-will be key to our product's success. **About the Role:** In this role as a Lead Product Engineer, you will: Develop Own complex, 6+ month projects from beginning to end, including ideation, working with cross-functional partners in product and UX, testing, launching, measuring impact, and iteration. Design, build, and maintain generative AI products such as Conversations, Accounting Research, Ready to Advise, and Workspaces Build engaging front-ends using Next.js, TypeScript, and Tailwind CSS Develop robust back-ends with Python, FastAPI, Pydantic, and cloud infrastructure, including API design, data modeling, and AI service integration Identify bottlenecks and optimize for speed, scalability, and responsiveness across the full stack Collaborate & Lead Serve as a product leader for full stack projects through making prioritization decisions, scoping out timelines, guiding the work of product and backend engineers, and collaborating with cross-functional partners. Contribute to technical design decisions across the stack, including architecture, API design, and system integration patterns Set and enforce team-wide frameworks, best practices, code quality and best practices for both front-end and back-end development Champion UI/UX Excellence Apply strong design sensibilities to deliver polished, accessible, and user-centric interfaces. Proactively collect feedback from end users and internal stakeholders, and iterate accordingly **About You:** You are a fit for a Lead Product Engineer (Full Stack) if your background includes: Experience & Skills 7+ years building web applications at scale, with practical experience in both front-end and back-end development (we welcome engineers who are stronger in one area but capable in both) Passion for UI/UX and product design - enjoy refining details that matter to users Self-driven with a proactive approach to problem-solving and prioritization Experience building new products or features from 0 to 1 or from ideation to release Excellent debugging skills and an eye for performance optimization Strong leadership and cross-functional collaboration abilities Bonus Points Bachelor's degree in Computer Science, HCI, or related field Experience working in a startup or similar fast-paced setting. Experience building Chatbot interfaces or other AI-native products Familiarity with large language models (LLMs), AI agent design, and/or prompt engineering Opinionated about testing methodologies, A/B testing, and safe rollouts #LI-TH1* **Hybrid Work Model:** We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.* **Flexibility & Work-Life Balance:** Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.* **Career Development and Growth:** By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.* **Industry Competitive Benefits:** We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.* **Culture:** Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.* **Social Impact:** Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.* **Making a Real-World Impact:**We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption & Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan.Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations.Eligible office location(s) for this role include one or more of the following: New York City, San Francisco, Los Angeles, and/or Irvine, CA; McLean, VA; Washington, DC. The base compensation range for the role in any of those locations #J-18808-Ljbffr

At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff-like payroll, health insurance, 401(k)s, and HR-so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we're proud to support more than 400,000 small businesses across the country, and we're building a workplace that represents and celebrates the customers we serve. Learn more about our Total Rewards philosophy . About the Role: Gusto's Data Science team leverages Gusto's rich dataset to guide product direction and decision-making. We operate full-stack, conducting analyses, prototyping and deploying predictive models and statistical tools both for internal use and for our customers. For this role, we are looking for a technical leader (an individual contributor) to drive machine learning and AI in the payment and risk domains. You will build a model-driven risk platform to provide a trusted environment for Gusto Ecosystem. You'll be working with an established team and seasoned payments and risk leaders in Engineering, Product, Design, Operation, Identity and Compliance. In this role, you'll work cross functionally to build Platforms that span the entire breadth of the Payments and Risk Stacks, and use ML and AI to build a world- class, high secure platform that safeguards our users' activities and money, and ensures unparalleled reliability. Here's what you'll do day-to-day: Build and deploy machine learning models to identify, assess and mitigate risks Responsible for driving research in the problem space, working with stakeholders to understand model requirements, developing the model from scratch, deploying the model alongside your engineering counterparts, and monitoring and maintaining the model's performance over time Partner with Engineering, Design, and Product counterparts in Payment and Risk to solve complex cross functional problems Develop scalable frameworks and libraries that enhance and contribute to the team's core analysis and modeling capabilities, including through the integration of LLMs to improve data processing, analysis, and insights. Identify new opportunities to leverage data to improve Gusto's products and help risk management team to understand business requirements and develop tailored solutions Present and communicate results to stakeholders across the company Here's what we're looking for: 8+ years of experience conducting statistical analyses on large datasets and deep domain knowledge in machine learning and artificial intelligence, including familiarity with Large Language Models (LLMs) and their applications. This could mean either a MS or PhD in a quantitative field with at least 5 years experience in a business environment, or BS or Data Science Bootcamp graduate with at least 8 years of experience working as a data scientist or a machine learning engineer in a business setting. Proven experience in credit risk modeling or fraud risk modeling using logistic regression, random forest, Xgboost or neural networks, along with a strong understanding of AI-based approaches and the potential of LLMs to enhance traditional models. Experience applying a variety of statistical and modeling techniques using Python, R or another statistical modeling language, as indicated by familiarity with many of the following techniques - predictive modeling, anomaly detection, ensemble methods, natural language processing (NLP, optional). Basic understanding of LLMs and their applications. Strong programming skills - comfortable with all phases of the data science development process, from initial analysis and model development to deployment Excellent communication skills - able to effectively deliver findings and recommendations to non-technical stakeholders in a clear and compelling fashion PhD or Masters plus equivalent experience in a quantitative field is a plus Experience in the Fintech industry is a plus Our cash compensation amount for this role is targeted at $225,000 - $285,000 for San Francisco, New York, and Seattle, $205,000- $255,000 in Los Angeles, $187,000 - $235,000 in Denver, and $200,000 - $250,000 CAD for Toronto, Canada. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above. Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees. Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto. Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you. Interested in building your career at Gusto, Inc.? 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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

Cresilon is a Brooklyn-based biotechnology company that develops, manufactures, and markets hemostatic medical devices utilizing the company's proprietary hydrogel technology. The company's plant-based technology has revolutionized the current standard by stopping traumatic and surgical bleeds in seconds without the need for extended manual pressure. The company's current and future product lines target veterinary, human trauma, and human surgical applications. Cresilon's mission is to save lives. Learn more about the company at ***************** Description: The Senior Medical Device Engineer is responsible for leading the design and development activities of new products and improving existing products in compliance with all quality and regulatory requirements. They will be responsible for authoring technical documents for the development of medical devices and combination products according to relevant Design Control regulations and standards. The person in this position will also be responsible for providing project-specific support, including technical analysis and review of supplier documentation as required. The position has a scientific focus that includes formulation development, product performance characterization, and implementation, including prototype design and fabrication, and data generation through designed experiments. The Senior Medical Device Engineer is expected to aspire for excellence with a bias toward action, willing to roll up their sleeves, get hands‑on, and do what's necessary to move projects forward in a fast-paced environment. They are committed to designing and developing products that dominate the marketplace and improve healthcare by partnering with our customers to drive purposeful innovation, resulting in best‑in‑class products. The Medical Device Engineer will work with a multidisciplinary team of researchers. This is a multi‑faceted job in a highly collaborative environment across multiple functions that will require flexibility as well as an ability to learn about and develop new technologies and explore new techniques in pursuit of product innovation and robustness. Role level is contingent on experience, but this is not an entry level role. This is a full‑time, on‑site position, located in Brooklyn, New York. Responsibilities Create and lead experimentation for exploratory and/or product development research focusing on polymeric materials devices and their use. Define new product functional requirements (design inputs/user needs) and evaluate the design's overall effectiveness, cost, reliability, and safety. Lead cross‑functional teams to develop new products, address design issues, and maintain existing designs. Apply strong problem‑solving skills to find solutions to complex problems. Work independently to plan and schedule own activities necessary to meet project timelines. Work cooperatively with quality, manufacturing, regulatory, clinical, and marketing to ensure project success. Lead the creation of design history file documentation through the new product development process. Develop new implant and instrument designs utilizing Solidworks and modeling/detail design specifications. Generate technical protocols/reports to support device safety and efficacy. Invent/create concepts and designs and submit invention disclosures. Ensure that all design activities adhere to FDA Quality System Regulations and ISO 13485 design control and risk management requirements. Lead material/design/process changes through a design control process, with well‑documented research/analyses. Author protocols and reports including development studies and design verification/validation activities. Develop and execute test methods to aid in exploratory research, product development, and quality control; conduct chemical and mechanical property evaluation tests to assess the desirability of process or formulation changes. Exercise technical judgment in the design, execution, and interpretation of experiments within the scope of project responsibilities and ensure the use of professional concepts to solve complex problems in creative and effective ways, in conformance with scientific methods and procedures. Prepare samples as required for testing, or other evaluations and data analysis, including in voice‑of‑customer (VOC) labs. Interface with customers, suppliers, and internal cross‑functional team members to develop specifications and coordinate prototype fabrication. Maintain a laboratory notebook and other technical documentation to required GLP/GMP guidelines. Maintain active dialogue with Regulatory Affairs as subject matter expert on all product design elements/documentation pertaining to research towards FDA/regulated authority submissions. Provide support to marketing and sales team, support the introduction of new technologies with the development of presentations, sales tools, formulations, and applications data. Communicate results to the scientific community via published papers. Present research at academic/industry symposia as an external representative of the company. Manage part‑time staff as a research leader and mentor for ongoing research projects. Work with company leadership to evaluate existing research practices and contribute to a culture of ethical, high‑quality research operations within the organization. Provide other project or product support as needed in order to support Cresilon's business objective. Responsibilities may include other duties as assigned and as required. Required Qualifications BS in Chemical Engineering, Polymer Engineering, Material Science, Biomedical Engineering, Mechanical Engineering, or related scientific discipline. A minimum of 5+ years of product development experience is required. A minimum of 4 years of hands‑on experience in new product research and development in a cGMP‑regulated industry is required (work experience in the Medical Device field is strongly preferred). Adept experimentalist with hands‑on experience in product development of medical devices and their safety/efficacy characterization in an R&D environment. Experience gathering user needs, translating them to technical inputs, and developing viable V&V (Design Verification and Validation) plans. Experience leading complex product development initiatives from concept through product launch/release. Good working knowledge of anatomy and surgical procedures is required. Demonstrated ability to solve difficult technical problems and deliver practical solutions that meet the application requirements is required. This includes strong analytical, problem‑solving, and decision‑making skills with the ability to be observant and to think creatively. Demonstrated ability to design experiments and analyze data with appropriate quality and statistical methodologies. Demonstrated ability to work independently as well as effectively be a strong team contributor and work cross‑functionally to expedite the completion of critical project tasks. Ability to handle multiple project assignments of medium scope and complexity and able to prioritize and complete work with a sense of urgency in a timely manner. Ability to lead directly and by influence, including strong problem‑solving, conflict resolution, and analytical skills. Requires strong leadership skills, excellent written and verbal communication and presentation skills. Working knowledge of FDA requirements as per 21 CFR 820, ISO 9001, ISO 13485:2003, and ISO 14971:2007. Working knowledge of Good Documentation Practices (GDP), and Good Manufacturing Practices (cGMP). Good understanding of statistical tools and validation/verification techniques. Proficiency in the use of Microsoft Excel, Microsoft Word, and Microsoft PowerPoint is required. Legal authorization to work in the United States is required. Preferred Qualifications An advanced degree (MS or Ph.D.) is strongly preferred. Hands‑on experience in product development with Class II and Class III medical devices. Experience developing test methods and protocols/reports for safety and efficacy testing of implant and instrument designs. Experience with IDE and PMA submissions. Six‑Sigma green belt or black belt certification. EEO Statement Cresilon is an equal‑opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Cresilon makes hiring decisions based solely on qualifications, merit, and business needs at the time. Competitive annual base salary range of $100,000 - $160,000, depending upon job level and qualifications. Paid Vacation, Sick, & Holidays. Monthly MetroCard Reimbursement. 401(k) & Roth Retirement Savings Plan with company match up to 5%. Work/Life Employee Assistance Program. Company Paid Life and Short‑Term Disability Coverage. Medical, Dental, and Vision Insurance, FSA: Dependent & Healthcare, Commuter & Parking Benefits, Long Term Disability Coverage. #J-18808-Ljbffr

**About The Role**The Principal AI/Machine Learning Engineer will oversee defining and executing ZT's roadmap for applying artificial intelligence and machine learning in manufacturing. The AI/ML Transformation Architect will be the pivotal role in shaping ZT's future-state vision for AI & ML by identifying high-impact use cases, preparing the organization structurally and technically for adoption, and driving successful implementation of applications.**What You Will Do*** Lead or contribute to **transformation initiatives**, helping set new standards for how ZT approaches manufacturing risk analysis, quality, and continuous improvement.* Partner with leadership to define the vision and strategy for AI/ML adoption across manufacturing operations.* Work with factory engineering, quality, and operations to identify, evaluate, and prioritize AI/ML use cases that deliver measurable business value.* Collaborate across **design, quality, manufacturing, test, and supplier engineering** to drive solutions that integrate seamlessly into production.* Define and implement **new systems, processes, or frameworks** that support the smart factory vision, including automation, metrology, advanced inspection, and predictive analytics.* Define the organizational, data, and process changes required to prepare the business for AI/ML integration.* Drive the design, development, and deployment of AI/ML solutions, ensuring successful adoption across factories.* Apply AI/ML techniques to analyze manufacturing data sets - including metrology, vision inspection, event data, test results - conduct regression analysis, correlation studies, and commonality analysis.* Leverage **deep, data-rich environments** and tools (e.g., Minitab, JMP, Python, R, SQL) to generate insights that improve yield, reliability, and throughput.* Apply **advanced statistical and analytical methods** (regression, correlation, DOE, SPC, PFMEA, Gauge R&R, commonality studies) to identify, quantify, and control risk in complex manufacturing environments.* Champion the cultural and operational transformation required for AI/ML success, including training and upskilling the industrial engineering team in new methods and approaches for mathematical computing.* Serve as the bridge between industrial engineering, factory engineering teams, quality, and IT on AI/ML initiatives.* Coach and nurture data stakeholders to maximize their potential and facilitate a culture of learning and growth. Act as a thought partner and subject matter expert to refine ideas, generate hypotheses, and analyze data to formulate solutions.* Demonstrate strong leadership and influence management skills, including the ability to challenge the status quo and manage key senior stakeholders.* Use predictive analytics to inform **PFMEA analyses** that will result in actionable process controls, ensuring proactive prevention of variation rather than reactive correction.**What You Bring**The right person for this role is an agent of change and has exceptional analytical capabilities, thrives in a fast-paced environment, loves problem-solving, is a good communicator, and is passionate about enabling the future of cloud computing.* Advanced degree in Engineering, Computer Science, Data Science, or a related field.* 10-15 years of experience in high-volume, high-complexity manufacturing, with at least 5 years in leadership or transformation roles (not necessarily people management).* Demonstrated expertise in statistical and analytical methods such as regression analysis, correlation analysis, DOE, SPC, PFMEA, Gauge R&R, and commonality studies.* Fluency with data-driven tools such as Minitab, JMP, Python, R, SQL (or equivalent) to analyze and interpret large, complex datasets.* Track record of driving measurable improvements in yield, reliability, or process robustness.* Background in electronics assembly, PCBA, servers, or other high-reliability industries (e.g., aerospace, medical devices, automotive, etc.).* Experience with applying **AI/ML toolsets** to statistical problem solving, predictive analytics, or anomaly detection* Experience coaching or mentoring technical teams to upskill in statistical methods and data-driven decision-making.* Strong background in leveraging manufacturing data (metrology, vision systems, event logs, quality data) to build AI/ML-enabled solutions.* Proven ability to drive organizational changes in data-driven transformations.* Advanced skills in mathematical computing with at least one programming language (e.g. Python, R, Java, or equivalents), and the ability to learn technical methods and tools independently.* Advanced skills in data visualization / presentation skills, including the ability to simplify results & statistical concepts into simple and actionable insights.* Excellent communication skills with the ability to engage at both executive and technical levels.* Ability to convert complex (often data driven) topics to clear overviews and insights.* Proven ability to perform effectively in a demanding environment with changing workloads and deadlines.* Growth mindset: believes in continuous learning by dedication of time, effort, and energy.* Takes independent initiative to complete projects with a sense of urgency.Nice to Haves* MBA or exposure to business, finance or economics is advantageous.* Fluency with continuous improvement / lean programs.ZT Systems assesses market data to ensure a competitive compensation package is created for all our employees. The typical base salary for this position is expected to be between $141,000 and $ 188,000 annually. If hired, the final base salary will be determined on an individual basis taking into consideration experience, skills, knowledge, education and/or certifications.Base salary is just one component of ZT Systems total rewards philosophy. We take pride in offering a wide range of benefits and perks that appeal to the variety of needs across our diverse employee base. Other rewards may include bonus, paid time off, generous 401k match, tuition reimbursement, wellbeing resources, and more.We are dedicated to building a diverse, inclusive, and authentic workplace, so if you're excited about this opportunity but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.#ZTMFG2025! #LI-DH1**#ZTMFGPri2025!** ## **About ZT Systems**At ZT Systems, you'll get to do work you are proud of alongside smart, passionate people. Every day, there are opportunities to collaborate with the best in the industry to design, build, and deliver impactful solutions to world-class customers. Along the way, you will gain hands-on experience in a face-paced environment that's challenging, rewarding, and career-defining.A culture built around our values we work hard and think fast. We view challenges as opportunities-to do better, push harder, and be faster than we were the day before. When we fail, we learn from it and move on together. And when we succeed, we use the momentum to go even further. We create value with everything we do, building the foundation of today-and transforming the future of tomorrow.Join ZT Systems and help us build technology infrastructure that connects the world.**What We Offer** At ZT Systems, we believe that investing in our people is key to our continued growth and innovation. When you join our team, you'll gain access to a comprehensive and inclusive benefits package designed to support your well-being, financial security, and professional development-both now and in the future.**Compensation & Financial Security**-Competitive base salary-Performance-based annual bonus eligibility-401(k) retirement savings plan with generous company match-Tuition reimbursement for eligible education programs**Health & Wellness**-Comprehensive medical, dental, #J-18808-Ljbffr

Our employer is a leading provider of premium metal payment cards and secure authentication solutions. Headquartered in Somerset, New Jersey, the company serves major financial institutions, producing over 30 million metal cards annually and holding a dominant share in the premium metal card segment. It also offers advanced digital security through a proprietary platform that includes three-factor authentication and cold storage for digital assets, generating over $420 million in annual sales. Salary range: 85-150k USD Annual Bonus: Up to 15% (contingent upon a combination of company's and personal performance). Position Summary We are seeking an Advanced Manufacturing Engineer (Automation) who will perform the planning, design, and implementation of automation solutions across our production lines. This role involves designing and building custom machines in-house as well as managing external integrators to deliver turnkey automation systems. The ideal candidate will have a proven track record in machine design, supplier management, and project execution in high-volume manufacturing environments. This position is critical to driving automation initiatives that improve efficiency, scalability, and quality in a multi-million-unit-per-year production setting. Key Responsibilities Automation System Design & Implementation Design and develop custom automation equipment using SolidWorks. Lead full lifecycle of automation projects: concept, design, build, installation, and validation. Collaborate with external integrators and manage suppliers for outsourced machine builds. Production Line Automation Plan and implement automation solutions for assembly and packaging lines. Integrate robotics, PLCs, vision systems, and material handling equipment. Project Management Develop project timelines, budgets, and resource plans. Ensure projects meet performance, quality, and safety standards. Safety & Compliance Ensure all automation systems comply with OSHA, environmental, and company safety standards. Implement risk assessments, machine guarding, and lockout/tagout procedures. Maintain documentation for regulatory compliance and audits. Continuous Improvement Identify automation opportunities to reduce labor, improve throughput, and enhance quality. Drive cost reduction and efficiency initiatives through innovative automation solutions. Qualifications Education: Bachelor's degree in Mechanical Engineering, Manufacturing Engineering, or related field. Experience 5+ years of hands-on experience in machine design and automation engineering. Proven track record of designing, building, and installing machines in high-volume manufacturing environments. Technical Expertise SolidWorks proficiency for machine and fixture design. Strong knowledge of automation technologies: robotics, PLC programming, vision systems, conveyors, and material handling. Experience with supplier management and working with external integrators. Understanding of system design, defect analysis, and process optimization. Familiarity with SPC, Six Sigma, and DoE methodologies for data-driven improvements. Ability to troubleshoot automation and mechanical issues, conduct root cause analysis, and implement corrective actions. Preferred Experience designing full production lines. Familiarity with high-speed automation for multi-million-unit production. Knowledge of Lean Manufacturing principles. Exposure to ISO 13485 or automotive quality standards. Experience with robotic integration, automated quality inspection, and vision systems. Our employer believes in supporting our employees with a comprehensive benefits package that promotes health, financial well-being, and work-life balance. Our full-time team members enjoy access to: Medical, Dental & Vision Coverage Flexible Spending Accounts (FSA) Company-Paid Life and Disability Insurance 401(k) with Company Match Paid Time Off & Paid Holidays Annual Bonus Opportunities Employee Assistance Program (EAP) Career Advancement Opportunities **** Benefits eligibility and details will be shared during the hiring process.

Hello, Harjai Technologies (HCPL Global Consulting & Services) is a pioneering Management & IT consulting firm that enables Government, Banking, Private and Commercial Sectors to transform best practice concepts into effective organizational capabilities. We offer and provide innovative solutions that help improve the performance of organizations and lead their business transformation. Here is our Highly Esteemed Client requirement. Kindly respond to this requirement with your resume, contact, visa status, rate and current location info to speed up the interview process. Job Title: Mechanical Engineer Location: NYC, NY Position Type: FTE/Permanent Skills Required: Mechanical Engineering, BOM, Sheetmetal, GD&T, PDM etc. Position Summary: Job Description: Skills: • Preparation of BOM (Bill of Material), OMS (Operational Method Sheets ) • Design of Sheetmetal and Machined parts design to work. • GD&T and Tolerance stack up analysis. • Manufacturing drawings creation. • Experience of working in Solid works • Exposure working with PDM (EPDM preferred) • Experience handling simple to complex assemblies. • Exposure to Electro Mechanical components and Enclosures. Qualification: • Bachelor's in Mechanical Engineering Please respond with the resume, contact, Visa Status, rate, and current location info to speed up the interview process. I will contact you if I need further details. Thanks & Best Regards, Savio Dcunha Lead- Talent Acquisition Harjai Technologies (HCPL Global, Inc.) **************** 13234 Telecom Drive, Tampa, FL 33637 We don't make careers, we make lives

$120k-$135k | Senior Project Engineer - DOT & Bridge Projects | Fully Paid Health Insurance | 5% 401k Match | Vehicle Allowance | Manhattan This is the kind of early-to-mid career role that quietly sets people up for long-term success in the NYC infrastructure market. 100% employer-paid health insurance 5% 401k match Vehicle allowance Manhattan-based office and project access This is for Project Engineers who want real exposure, not just a resume line. Very few roles give you visibility, credibility, and access at the same time. This one does. Most engineers who want to build bridges in New York think the only path is a massive corporate GC with layers of approvals, limited access to decision-makers, and slow career progression. That's not the case here. This firm is widely regarded as one of the go-to bridge contractors in New York, without operating like a corporate machine. This is a Manhattan-based heavy civil and bridge contractor, highly respected across the New York market and well known within GCANY. They consistently deliver NYSDOT and NYCDOT bridge projects, and because of their reputation, their teams are regularly interacting with senior industry leaders, agency representatives, and decision-makers. As a Senior Project Engineer, you'll be embedded on high-profile DOT projects, supporting field and office operations while learning how complex infrastructure actually gets delivered in New York. You'll receive proper training, not sink-or-swim delegation. If earning your P.E is part of your plan, they'll support that. If you're ambitious, you'll be given responsibility as fast as you can handle it. Who this is best suited for Project Engineers with DOT project experience Engineers interested in bridges and complex civil work People who want growth, exposure, and responsibility early Anyone who wants to build a serious career without joining a corporate behemoth Apply if you're ready to step up. Reach out if you want to understand where this could lead long term.

Our team is passionate about solving big challenges in healthcare and transforming the field of pathology with artificial intelligence. PathAI's mission is to improve patient outcomes with AI-powered pathology. Our platform promises substantial improvements to the accuracy of diagnosis and the efficacy of treatment of diseases like cancer, leveraging modern approaches in machine learning and artificial intelligence. We have a track record of success in deploying AI algorithms for histopathology in translational research, pathology labs and clinical trials. Rigorous science and careful analysis is critical to the success of everything we do. Our team, composed of diverse employees with a wide range of backgrounds and experiences, is passionate about solving challenging problems and making a huge impact on patient outcomes. Where You Fit We are seeking Machine Learning Engineers (MLE II, and III) to join our team and tackle unique machine learning challenges to advance medicine and improve patient care. You will work closely with teams across biomedical data science, product development, translational research, MLOps, and platform engineering to develop and deploy machine learning models for our AI products and services. What You'll Do As an MLE at PathAI, your responsibilities will grow in scope as you progress through levels: Design, develop, and deploy machine learning models for research and product development projects. Collaborate cross-functionally with scientists, engineers, and product teams to translate biological and clinical requirements into scalable ML solutions. Contribute to experimental design and analysis, including ideation, documentation, and reporting. Participate in knowledge sharing and team initiatives (e.g., design reviews, journal clubs, ML best practices, governance activities). Improve ML pipelines and infrastructure in partnership with MLOps and platform teams. Publish and present scientific work, supporting abstracts, manuscripts, and conference contributions. Level-specific expectations: MLE I: Contribute to projects with guidance, implement models, and learn best practices. MLE II: Independently deliver on projects, improve processes, and mentor junior engineers. MLE III: Lead initiatives end-to-end, set technical direction, and identify new opportunities with clear business and scientific impact. You will have the opportunity to work in a company where all employees put patients first. We believe that every team member provides valuable contributions to our success, and no task is too small for anyone if it's important to our company goals. Every PathAI employee is a contributor to our mission to pioneer better patient care by providing the best, most innovative AI tools to biotech, pathologists, clinicians and healthcare organizations. You will work alongside and with leading innovators in the field of AI and medicine and you will play a critical role in product development to impact patient outcomes. What You Bring We welcome applicants across all MLE levels. Minimum qualifications differ by level: MLE II: Master's degree plus 2-4 years of experience, or Ph.D. with 0-2 years of experience. Proven track record of developing and deploying machine learning models into production or research applications. Strong proficiency in Python, ML frameworks, and data pipeline development. Demonstrated ability to work independently on projects, contribute to experimental design, and improve ML workflows. Strong communication skills and ability to collaborate across scientific and engineering teams. MLE III Master's degree plus 5+ years of experience, or Ph.D. with 3+ years of experience. Deep expertise in ML, computer vision, or biomedical AI, with a history of high-impact contributions (publications, open-source, or products). Mastery of ML frameworks, software engineering best practices, and deployment pipelines. Ability to lead end-to-end projects, mentor others, and set technical direction. Experience articulating technical improvements into business or clinical impact. Strong record of contributions to scientific strategy (abstracts, manuscripts, conference presentations). We Want To Hear From You At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for. PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications - that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way. The cash compensation outlined below includes base salary or hourly wage and on-target commission for employees in eligible roles. The summary below indicates if an employee in this position is eligible for annual bonus, overtime pay and equity awards. Individual compensation packages are tailored based on skills, experience, qualifications, and other job-related factors. #J-18808-Ljbffr

Do you love building and pioneering in the technology space? Do you enjoy solving complex technical problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking Platform Engineers who are passionate about developing highly-resilient, fundamentally-sound objects to support the Human Resource technology driving Capital One. As part of a team that's leading the next wave of disruption on a whole new scale, you will play an integral part in advancing Capital One's Human Resource Technology ecosystem and culture of technical excellence. You will champion automation of functional and technical processes and bring your expertise to drive innovative solutions. General Responsibilities: Work with product owners to understand desired application capabilities and testing scenarios Understand and translate the priorities of the business while integrating HR value proposition and strategies to meet the needs of the business Deliver solutions in Workday across HCM, Recruiting, Compensation, Payroll and Benefits through efficient and organized processes while maintaining high standards Effectively communicate across team, Product Owner, stakeholders and influence solutions across business partners Identify opportunities for process improvements, collaborate with HR partners to provide innovative ideas and insights to redesign business processes that will optimize business results. Continually research, test and stay up-to-date on Workday updates, fixes and capabilities Build & maintain thorough documentation for system implementation Primary contact for questions related to how the system works from a business and a technical perspective Provide production support for Workday by troubleshooting problems, testing, and working with the business to resolve issues Basic Qualifications: High School Diploma, GED, or equivalent certification At least 4 years of experience with Workday functional configuration tasks At least 2 years of experience configuring business processes within the Workday platform At least 1 year of experience with calculated fields or custom reports Preferred Qualifications: Bachelor's degree 5+ years of experience with Workday functional configuration (Payroll and Benefits) Experience working in an agile delivery environment Workday or Workday Pro certifications (HCM, Recruiting, Benefits, Compensation, Time Tracking or Performance Management) 1+ years of experience loading HCM data into Workday using existing Enterprise Interface Builders (EIB's) At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $131,300 - $149,800 for Senior Platform Engineer Chicago, IL: $119,400 - $136,200 for Senior Platform Engineer McLean, VA: $131,300 - $149,800 for Senior Platform Engineer New York, NY: $143,200 - $163,500 for Senior Platform Engineer Plano, TX: $119,400 - $136,200 for Senior Platform Engineer Richmond, VA: $119,400 - $136,200 for Senior Platform Engineer San Francisco, CA: $143,200 - $163,500 for Senior Platform Engineer San Jose, CA: $143,200 - $163,500 for Senior Platform Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

David AI is the first audio data research company. We bring an R&D approach to data-developing datasets with the same rigor AI labs bring to models. Our mission is to bring AI into the real world, and we believe audio is the gateway. Speech is versatile, accessible, and human-it fits naturally into everyday life. As audio AI advances and new use cases emerge, high-quality training data is the bottleneck. This is where David AI comes in. David AI was founded in 2024 by a team of former Scale AI engineers and operators. In less than a year, we've brought on most FAANG companies and AI labs as customers. We recently raised a $50M Series B from Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, First Round Capital and other Tier 1 investors. Our team is sharp, humble, ambitious, and tight-knit. We're looking for the best research, engineering, product, and operations minds to join us on our mission to push the frontier of audio AI. About our Research team As an audio data research company, we believe model capabilities come from high quality, differentiated data. David AI's research team performs ambitious, long-term research into audio capabilities, while working with internal and external stakeholders to productionalize the latest research insights. About this role As a Founding Audio AI Research Engineer, you'll define the research agenda that shapes how the world's best AI labs train their audio models. You'll have a world‑class workforce of human AI trainers, compute resources, and independence to drive your roadmap. In this role, you will Define and build comprehensive evaluation frameworks for audio AI capabilities across speech, emotion, conversation dynamics, and acoustic patterns. Research and prototype novel approaches to audio quality assessment, automated labeling, and data collection optimization. Design targeted data collection pipelines for novel, high-value audio capabilities Architect automated systems for continuous classifier improvement and prompt engineering evaluation. Evaluate frontier models and create actionable research directions. Publish findings and papers in top conferences. Your background looks like 3+ years of experience in AI/ML research or engineering, preferably with multimodal models Proven ability to translate research insights into production systems and scalable solutions. Experience with Python and PyTorchExperience designing and conducting rigorous ML experiments and evaluations. Bonus points if you have PhD or Masters in Computer Science or a related field with a focus on ML or audio/speech. Published research work in top‑tier CS, AI and/or audio‑related conferences. Strong record of publication in evaluations or data, particularly for audio/speech. Experience in large scale data processing or high performance computing. Benefits Unlimited PTO. Top‑notch health, dental, and vision coverage with 100% coverage for most plans. FSA & HSA access. 401k access. Meals 2x daily through DoorDash + snacks and beverages available at the office. Unlimited company‑sponsored Barry's classes. #J-18808-Ljbffr