Manufacturing engineer jobs in Perth Amboy, NJ - 3,572 jobs

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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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

+ Work with sales and manufacturing teams to develop customer solutions and ensure manufacturability. + Conduct Finite Element Analysis and calculations to validate design robustness. + Participate in peer reviews to ensure high-quality outputs. + Engineer and detail designs using SolidWorks software, manage documentation with PDM software, and define production processes with ERP software. + Support manufacturing by troubleshooting production issues and initiating continuous improvements and corrective actions. + Contribute to expanding the engineering knowledge base and aid in team growth by participating in training sessions and mentoring less experienced personnel. Essential Skills + Proficiency in SolidWorks design with over 8 years of experience. + Experience in Finite Element Analysis, preferably using SolidWorks Simulation. + Knowledge of metal fabrication and metal manufacturing processes such as welding, machining, and heat treatment. + Experience in product development engineering. + Comfortable using PTC Mathcad and Microsoft Excel. Job Type & Location This is a Contract to Hire position based out of Freehold, NJ. Pay and Benefits The pay range for this position is $47.00 - $60.00/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 Freehold,NJ. Application Deadline This position is anticipated to close on Jan 20, 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.

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

**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

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.

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

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

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.

# **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

Hex is changing the way people work with data. Our platform makes analytics workflows more powerful, collaborative, and shareable. Hex solves key pain points with today's data and analytics tooling, and is loved by thousands of users all over the world for the beautiful UI, new superpowers, and boundless flexibility. We are a tight-knit crew of engineers, designers, and data aficionados. Our roadmap is full of big ideas and little details, and we would love your help bringing them to life. Hex has raised over $100m from great VCs and angels, giving us many years of runway and the ability to pay competitive salaries, offer great benefits, and provide meaningful equity. We are looking for senior and staff-level fullstack engineers eager to join the team building our leading Magic AI features. At Hex we're deeply focused on building powerful, integrated AI features that augment and accelerate analytics workflows. The possibilities here are incredible, and we're uniquely positioned to re‑invent the way people think about understanding data. In this role, you'll take the lead on building AI‑powered features into Hex, partnering closely with our Research team on context and model prompting, and the rest of our product engineering teams on integrating into the platform. The fruits of your work will fundamentally change the way that many thousands of people work with data, and give you a front‑row seat to the most exciting technological shift in our lifetimes. As part of our AI Platform team, you'll own the scalable agent infrastructure powering today's most powerful data agents, as well as the cutting‑edge experimentation tooling that allows the rest of the team to rapidly deliver new AI features in the product. We'd love to hear from you if you have: At least 4+ years of software engineering experience. Proficiency with React and Typescript in addition to knowledge around architecture and systems design. Experience leading and executing on major product initiatives. An aptitude for how web infrastructure works to develop high‑quality internal developer and external user experiences. An instinct for strategic thinking and aligning with business and product goals while keeping a healthy balance of velocity and engineering excellence. Interest in the data space, and a love of shipping great products and building tools that empower end users to do more. Experience maintaining a high quality bar for design, correctness, and testing. An ability to lead product initiatives while collaborating and mentoring fellow engineers. Curiosity and an interest in diving into the bigger picture of building a company, including go‑to‑market, customer development, people, and marketing. This role will be hybrid (1-2 days per week) based out of our San Francisco, California headquarters or NYC office. In addition to our unique culture, Hex proudly offers a competitive total rewards package, including but not limited to, market‑bench salary & equity, comprehensive health benefits, and flexible paid time off. The salary range for this role is: $160,000 - $235,500 The salary range shown may be a reflection of additional factors such as geographical location and skill ranges/levels we're open to. Placement in the salary range will be decided upon completion of the interview process, taking into account factors like leaving room for growth, internal fairness & parity, your demonstrated skills, and the depth of your experience. Our Recruiting team will be able to provide more details during the interview process. #J-18808-Ljbffr

A leading technology firm in San Francisco is looking for a Site Reliability Engineer to design and manage scalable infrastructure solutions. You will ensure high performance and availability while collaborating across teams. Candidates should have at least 5 years of experience, strong coding skills, and familiarity with various cloud services and automation tools. Join us in a culture of continuous improvement and innovation. #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 ***************** Job Summary The R&D Engineer I/II is responsible for supporting product design and process development activities while ensuring compliance with all quality and regulatory requirements. The position has a scientific focus that includes implementation of formulation development through process development, prototype fabrication, and characterization, along with additional process evaluation and data generation through designed experiments. Process development in an R&D environment will be followed by qualification and technology transfer into manufacturing. Collaboration is a key aspect of this role, as the engineer will work within a multidisciplinary team of researchers and engineers. The position offers diverse opportunities in a collaborative cross‑functional environment, requiring adaptability, flexibility, and a willingness to learn and innovate in the exploration of new technologies, new approaches, and techniques in pursuit of product/process robustness and innovation. The R&D Engineer I/II is expected to possess expertise in areas including, but not restricted to, polymer, chemical, material science, and process development and engineering. Additionally, they will assist in generating documentation essential for regulatory submissions, ongoing publication initiatives, and direct communication with the Head of Research regarding various tasks. This is a full‑time, on‑site position, located in Brooklyn, New York. This role is an independent contributor role (i.e. no direct reports). Level is dependent on experience. Responsibilities Oversee the planning, implementation, and analysis of experiments relevant to project objectives. Ensure the application of established scientific and engineering principles to solve complex problems and challenges innovatively and efficiently, adhering to rigorous scientific methodologies and protocols. Create and execute product/process enhancement, and new product/process development plans. Lead material/design/process changes and their implementation with well‑documented research/analyses. Process and analyze results, Author protocols and reports including engineering studies and design verification/validation activities. Aid in the development and execution of testing methods to aid in exploratory research, product/process development, and quality control; conduct chemical and mechanical property evaluation tests to assess the desirability of process or formulation changes. Prepare samples as required for manufacturing, testing, or other evaluations and data analysis. Participate in voice‑of‑customer (VOC) labs and other user needs assessments. Interface with external vendors, customers, and suppliers. Specify equipment and process requirements for developing and implementing new products, product improvement and new equipment/processes. Support process and product transfers to manufacturing or CDMOs. Maintain a laboratory notebook and other technical documentation according to required GLP/GMP guidelines. Understand and prioritize process improvements, design experiments to make those improvements, and execute these plans in the laboratory. Maintain active dialogue with Regulatory Affairs as subject matter expert on all product design elements/documentation about research towards FDA/regulated authority submissions. Provide support to the marketing and sales team, with the development of presentations, sales tools, and application data. 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 to support Cresilon's business objectives. Required Qualifications Education: BS in Chemical Engineering, Polymer Engineering, Material Science & Engineering, or related engineering discipline. Minimum 4+ years previous experience in an industrial environment with a BS degree. (2 years minimum experience if advanced degrees). Proficiency as an adept experimentalist with hands‑on experience in the product and process development of polymeric materials and their characterization in an R&D or manufacturing environment. Mathematically inclined with strong analytical and problem‑solving skills with the ability to be observant and to think creatively. Demonstrated ability to design experiments and analyze data with the use of appropriate quality and statistical methodologies. Demonstrated ability to work independently as well as be a strong team contributor. Ability to effectively work within a team and cross‑functionally to expedite the completion of critical project tasks. Requires understanding of product/process design and engineering. Experience should include process development/validation and/or transfer/verification, protocols, and troubleshooting skills. Ability to handle multiple project assignments of medium scope and complexity and able to prioritize and complete work with a sense of urgency on time. Ability to lead directly and by influence, including strong problem‑solving, conflict resolution, and analytical skills. Working knowledge of Good Documentation Practices (GDP) and Good Manufacturing Practices (cGMP) requirements. Proficiency in the use of Microsoft Office, Microsoft Excel, Microsoft Word, Microsoft PowerPoint is required. Require excellent written and verbal communication and presentation skills. Legal authorization to work in the United States is required. Physical Requirements include: Aseptic Gowning Qualification: Able to be successfully qualified for aseptic gowning, including successful respirator training. Wear Appropriate Personal Protective Equipment (PPE). Be able to stand and walk for prolonged periods, with the ability to climb, balance, stoop, bend, reach, and handle equipment. Ability to speak, listen, and understand verbal and written communication. Possesses hand‑eye coordination and manual dexterity for delicate manipulations. Ability to lift up to 50 pounds occasionally and to carry, push, pull, or otherwise move objects. Visual acuity is required for performing close and distant activities. Preferred Qualifications An advanced technical degree (MS or PhD). Lab experience in an industry setting within cGMP-regulated environments. Prior experience developing processes and scaling these up into manufacturing or CDMO. Mechanical/electrical knowledge with the ability to troubleshoot processing equipment. Six Sigma green belt or black belt certification preferred. Experience implementing process and quality improvements in a manufacturing environment. Work experience with the medical device or pharmaceutical industries. Working knowledge of ISO 9001, ISO 13485:2003 and ISO 14971:200. Working knowledge of FDA requirements as per 21 CFR 820. Equal Opportunity Employment 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. Benefits Competitive annual base salary range of $70,000 - $120,000, 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

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

Mini-Circuits designs, manufactures and distributes integrated circuits, modules, and sub‑systems for high‑performance radio frequency (RF) and microwave applications. With design, sales and manufacturing locations in over 30 countries, Mini‑Circuits' products are used in a range of wired and wireless communications applications. Our products are also used in detection, measurement and imaging applications, including military communication, guidance and electronic countermeasure systems, commercial, scientific, military land, sea and aircraft; automotive systems, medical systems, and industrial test equipment. Mini‑Circuits' sells its products to over 20,000 customers globally through our direct sales force, applications engineering staff, sales representatives, as well as through our extensive website. Position Summary: The Reliability Engineer is responsible for conducting reliability studies of existing products and coordinating new product qualification prior to market release. The candidate will work in collaboration with various teams including Reliability, Design Engineering, Product Engineering, Failure Analysis and Project Management teams. Salary Range: $99,000 - $117,000 per year Job Function: Participate in the product development meetings and guide the team to develop reliable products that meet internal specifications and customer requirements. Develop qualification plans for new products, primarily MMICs but also support other product lines including but not limited to Low Temperature Co‑Fired Ceramics, PCBA products, RF accessories and Core & Wire Products. Analyze new products for similarity with existing released products in terms of package, die process and design to determine Qualification by Similarity, thus streamlining qualification testing. Design and execute both device level and package level qualification tests including but not limited to MSL pre‑conditioning, Thermal cycling, UHAST, HTSL, ESD and Life Tests. Define ESD Human Body Model (HBM) and Charged Device Model (CDM) tests as per JEDEC standards. Collaborate with Engineering Test Teams to execute Accelerate Life Tests, High Temperature Operating Life Test. Execute Mechanical stresses such as Vibration, Mechanical Shock, Constant Acceleration & Bend Testing. Co‑ordinate with external labs for outsourced tests. Review RF Test data before and after stresses to analyze changes in performance. Collaborate with Failure Analysis teams to understand the root cause of failures. Identify and record any non‑conformities. Monitor solution implementations to verify effectiveness of corrective actions. Ensure On‑Time Completion of Qualification activities and escalator any potential delays. Present Qualification results with all relevant stakeholders to help Design teams initiate changes to improve reliability performance. Prepare written reports summarizing the results of product performance and failure analysis for both internal purposes as well as customer review. Interface with customers and suppliers on product reliability as required. Interface with supplier to purchase lab equipment. Support reliability assessments originating from production of released products or customer returns. Makes decisions within area of specialty, manages medium to large projects. Promotes ISO9001/AS9100 Quality. The duties, responsibilities and expectations described above are not a comprehensive list and additional tasks may be assigned to the member, within the scope of the position. Qualifications: BS in Mechanical Engineering, Electrical Engineering, Materials, Reliability, Industrial Engineering or Physics. Advanced degree preferred. 3‑5 years' experience as a Reliability Engineer in Semiconductor or equivalent industry. Familiarity with common industry standards including JEDEC, MIL‑STD‑883, MIL‑STD‑202 and AEC‑Q. Experience with Reliability Qualification by Similarity. Experience with Environmental, Mechanical and ESD stresses. Experience with problem solving methodologies and leading root cause analysis. Experience with customer returns failure analysis support. Must have familiarity with failure analysis techniques including Scanning Acoustic Microscopy (SEM), Radiographic Inspection (X‑Ray), Cross‑Section methods. Familiarity with MTTF, MTBF Calculations. Experience with Reliability prediction modeling and tools like Weibull++ (or equivalent reliability software) Experience with Data analysis tools including Advanced Excel, JMP, Minitab. Ability to analyze component performance data in reliability tests, including large variety of test parts and multiple design variations. Experience with Design of Experiments, FMEA, product design reviews and DFM. Excellent written and oral communication skills. Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is regularly required to talk and hear. The employee frequently is required to stand, walk, sit and use hands to operate a computer keyboard. The employee is occasionally required to reach with hands and arms. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, and ability to adjust focus. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Additional Requirements/Skills: Ability and willingness to abide by Company's Code of Conduct. Occasional travel, some overnight, as required (up to 10%). Disclaimer: The listed qualifications and requirements for each position are intended as guidelines. Mini‑Circuits reserves the right to hire outside of these guidelines at Management's discretion. Mini‑Circuits is an Equal Opportunity Employer and does not discriminate on the basis of actual or perceived age, race, creed, color, national origin, sexual orientation, military status, sex, disability, predisposing genetic characteristics, marital status, familial status, gender identity, gender dysphoria, pregnancy‑related condition, and domestic violence victim status or protected class characteristic, or any other protected characteristic as established by federal or state law. #J-18808-Ljbffr

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

A client of Insight Global in the Bronx, NY is seeking a Production Engineer to join their team! This individual will be responsible for leading manufacturing improvements by optimizing packaging line performance and minimizing downtime through data-driven analysis. Must partner with cross-functional teams to implement sustainable process enhancements and uphold quality standards, as well as applying Lean Six Sigma methodologies to drive efficiency and support continuous improvement. This is an onsite position; candidates are required to be onsite 5 days per week. Required Skills & Experience 5-7 years of experience as an engineer in a manufacturing environment Bachelor's degree in engineering (mechanical, chemical, or biomedical preferred) Experience partnering with cross functional teams Strong understanding of Lean and Six Sigma principles

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