Mechanical design engineer jobs in New York, NY - 1,352 jobs

Job Title: Senior Mechanical Product Design Engineer Duration: 08 Months contract on W2 (Potential extension up to 24 months) Must Have: Strong CAD software experience specifically with Siemens NX, 3D drawing creations Product Design engineering experience (FAANG companies) Knowledge of high-volume manufacturing techniques (stamping, machining, 3D printing, injection molding, etc.) Testing and Analysis experience 5+ years of industry experience in mechanical design, Consumer electronics. Looking for the combination of design engineer at a mass consumer electronics company. Nice to Have: Owning a project start to finish, early concept to mass production. Experience designing and shipping products with Asia-based supply chains - Mandarin and Cantonese experience is a plus Elastomer professional molding, liquid injection Responsibilities: Lead the mechanical design for a particular component, feature or system while having end-to-end product development understanding Contribute to mechanical solutions as part of a highly cross-functional team Model, build, test, and refine prototypes and characterization test systems Work across the full product development cycle, from concept inception to shipping product Collaborate and manage work with Asia-based Supply Chain Push state-of-the-art technologies and approaches to solving complex mechanical problems while working with cross functional technical teams.

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

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.

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: Home Textiles & Hardgoods Designer (4-6 Years Experience) Company: Dream Home LLC Seeking a skilled Home Textiles & Hardgoods Designer with 4-6 years of proven experience in the home-furnishings industry. Ideal for someone who thrives in a fast-paced environment and can balance multiple design projects from concept through pd. Key Responsibilities Design and develop products across home textiles and hardgoods categories. Create detailed artwork, print repeats, technical specs, colorways, and packaging assets. Collaborate with internal teams through the full product lifecycle. Prepare production-ready files, ensuring accuracy in measurements, repeats, and Coated Pantone color standards. Review samples, make revisions, and ensure consistency across all product lines. Present design concepts and seasonal directions to leadership and buyers when needed. Requirements 4-6 years of experience specifically in home hardgoods - required. Adobe Creative Suite proficiency is mandatory (Illustrator, Photoshop, InDesign). Experience with 3D modeling software like Rhino is a plus, but not required. Ability to create clean, production-ready artwork and communicate clearly with factories. Familiarity with Pantone Coated Pantone color systems preferred. Soft Skills Ability to multi-task across multiple projects and product categories. Strong time-management and ability to meet tight deadlines. Detail-oriented with a high standard for accuracy and quality. Strong communication and collaboration skills. Proactive, solution-oriented, and comfortable working in a fast-moving environment.

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

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

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 biotechnology company in Brooklyn, New York, is seeking an R&D Engineer I/II to support product design and process development. The ideal candidate will have a BS in Chemical Engineering and 4+ years of experience in polymer product/process development. Responsibilities include overseeing experiments, creating development plans, and collaborating across teams. The position offers diverse opportunities in ensuring compliance with quality and regulatory standards. Benefits include a competitive salary, paid vacation, and comprehensive health insurance. #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

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

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

$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.

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

We are seeking a detail-oriented and experienced Electrical Design Engineer to join our construction project team. The ideal candidate will be responsible for developing, reviewing, and managing electrical designs and drawings for building and infrastructure projects in accordance with industry codes, client specifications, and project requirements. Key Responsibilities: Develop electrical design drawings including power distribution, lighting, fire alarm, communication, and grounding systems using AutoCAD/Revit or other relevant software. Perform load calculations, short circuit analysis, voltage drop, and coordination studies. Ensure designs meet NEC, NFPA, IEEE, local building codes, and client-specific standards. Collaborate with civil, structural, and mechanical engineers to coordinate all building systems. Review and approve shop drawings, submittals, and material specifications. Provide technical support during construction, including responding to RFIs and conducting site inspections. Prepare design documentation including schematics, schedules, and specifications. Attend project meetings, site visits, and coordinate with contractors and vendors as needed. Ensure all designs are cost-effective, energy-efficient, and constructible. Participate in value engineering and identify opportunities for design optimization. Qualifications: Bachelor's degree in Electrical Engineering (B.E./B.Tech or equivalent). Professional Engineer (PE) license or EIT preferred (or equivalent certification based on region). 3-7 years of electrical design experience in the construction industry (buildings, infrastructure, or industrial projects). Proficiency with AutoCAD, Revit, and electrical design software such as ETAP, SKM, or similar. Strong understanding of applicable codes and standards (NEC, NFPA, IEEE, IEC). Experience with construction documents and field coordination. Excellent communication and teamwork skills. Ability to work on multiple projects simultaneously and meet deadlines

Thank you for your interest in becoming part of the team at Legrand! GENERAL PURPOSE The Mechanical Designer responsibilities include providing accurate product line-specific drawing support, which includes piece part, assembly, and technical drawings, for consumer directed, aesthetically pleasing, innovative, cost-effective, and reproducible designs of furniture, mounts, and accessories for the audio-visual industry. This position also participates in the research and design of products. Additional responsibilities include providing product models for catalogs, sell sheets, or other information tools to assist Sales, Marketing, and Technical Support teams. The Technical Writer responsibilities include developing, maintaining, and distributing end user documentation for all Company products. DUTIES AND ACCOUNTABILITIES Create product design documentation: solid modeling of components and assemblies, technical / manufacturing drawings, BOM's and ECO's Participate in and/or lead cross-functional teams for the associated product lines. Provide technical product support to customers, both internal and external Effectively interface with engineers, designers, technicians, manufacturing engineers, and suppliers to meet project commitments. Assist with the creation, maintenance, and revision of product project plans and effectively communicate project deadlines. Learn and expand personal knowledge of the industry, competitors, and customers, through occasional trade show attendance and direct and indirect customer interaction, to competitively enhance and grow the Company's product capabilities. Develop installation, assembly, and how-to instructions using the Adobe suite of products and various other software programs while following defined conventions for content, appearance, and style. Research and compile technical information from subject matter experts, engineering drawings/ bills of materials, 3D models, and hands-on learning. Prepare and conduct reviews of documents with subject matter experts, internal users and other project team members as required. Work with regulatory compliance engineers to ensure end user documentation meets product safety standards and regulations. Help develop and maintain best practices for creating user friendly/reader friendly documentation. Update existing documentation to reflect changes due to product evolution, user comments, and design changes. Review published materials and recommend revisions or changes in scope, format, content, and methods of reproduction. Assist with the creation, development, and implementation of processes and procedures. Understand workplace hazards and take steps to proactively prevent and report hazards or injuries in the workplace. Cooperate in safety programs, initiatives, and investigations. Demonstrate our core values of Customers, People, Integrity, Teamwork, Continuous Learning & Improvement, and Empowerment & Accountability JOB REQUIREMENTS Essential Knowledge, Skills and Abilities Required: Ability to interpret standards, specifications, procedures, drawings, etc., mechanical aptitude. Ability to work with multi-lingual documentation and translations. Ability to understand complex engineering theories, information, and systems. Strong Organization Skills Ability to multi-task and manage several projects at one time. Ability to demonstrate flexible and efficient time management and to appropriately prioritize workload based upon organization or department needs. Proven ability to make sound decisions within established guidelines. Effective project planning and execution skills; ability to multi-task and manage several projects at once. Need to be a flexible and adaptable facilitator between internal departments across brands and regions, to improve project time, design, and/or communications. Must possess high level of enthusiasm, strong integrity, keen customer service, excellent organizational skills and excellent collaboration and interpersonal skills. Be detail-oriented and have excellent follow-through skills. Excellent verbal and written communication skills Must be able to function in a deadline driven environment. Must have the ability to make recommendations to effectively resolve problems or issues, by using judgment that is consistent with standards, practices, policies, procedures, regulation, or government law. Proficient in the use of personal computers, internet and Microsoft Office suite of software including Word, PowerPoint, Excel, and Outlook (or related e-mail system) Must have a high degree of professionalism. Minimum Education and Experience Required: Associate degree in Design Engineering, Product Design or other related technical degree with a minimum of two (2) years' experience in mechanical design in a manufacturing environment; or combination of relevant education and experience. Work experience with SolidWorks and/or Creo. Preferred Qualifications: FEA experience Electrical or controls experience Experience using Microsoft Project Server/SharePoint Experience with SAP Proficiency in Adobe FrameMaker/Corel Draw, Adobe InDesign/Illustrator, Adobe Acrobat and 3DVIA Familiarity with SAP or other Enterprise Resource Planning (ERP) software Experience in user centered design WORKING CONDITIONS/PHYSICAL DEMANDS While performing the duties of this job, the employee is regularly required (for the majority of the working day) to sit and make coordinated movements of the fingers for data entry on a keyboard. Ability to lift up to 40 pounds Combination of general office environment and machine shop environment May require regular ground travel to other company facilities Long-distance or air travel as needed - not to exceed 10% travel Note: Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time. Legrand is proud to be an Equal Opportunity Employer. You will be considered for this position based upon your experience and education, without regard to race, color, religion, age, sex, national origin, sexual orientation, ancestry; marital, disabled or veteran status. We are committed to creating and maintaining a workforce environment that is free from any form of discrimination or harassment. If you'd like to work in a fun, creative, business-casual environment that offers a comprehensive benefit package, we encourage you to apply! Legrand is an equal employment opportunity employer. For California residents, please see the link for the Privacy Notice for Candidates. California law requires that we provide you this notice about the collection and use of your personal Information.

Scale AI is seeking a technically rigorous and driven AI Research Engineer to join our Enterprise Evaluations team. This high-impact role is critical to our mission of delivering the industry's leading GenAI Evaluation Suite. You will be a hands-on contributor to the core systems that ensure the safety, reliability, and continuous improvement of LLM-powered workflows and agents for the enterprise. The ideal candidate has a strong foundational knowledge of large language models, a passion for tackling complex evaluation challenges, and thrives in a dynamic, fast-paced research environment. We are looking for an engineer who can think outside the box, stays current with the latest literature in AI evaluation, and is passionate about integrating novel research ideas into our workflows to build best-in-class evaluation systems. Responsibilities Partner with Scale's Operations team and enterprise customers to translate ambiguity into structured evaluation data, guiding the creation and maintenance of gold-standard human-rated datasets and expert rubrics that anchor AI evaluation systems. Analyze feedback and collected data to identify patterns, refine evaluation frameworks, and establish iterative improvement loops that enhance the quality and relevance of human-curated assessments. Design, research, and develop LLM-as-a-Judge autorater frameworks and AI-assisted evaluation systems. This includes creating models that critique, grade, and explain agent outputs (e.g., RLAIF, model-judging-model setups), along with scalable evaluation pipelines and diagnostic tools. Pursue research initiatives that explore new methodologies for automatically analyzing, evaluating, and improving the behavior of enterprise agents, pushing the boundaries of how AI systems are assessed and optimized in real-world contexts. Basic Qualifications Bachelor's degree in Computer Science, Electrical Engineering, a related field, or equivalent practical experience. 2+ years of experience in Machine Learning or Applied Research, focused on applied ML systems or evaluation infrastructure. Hands-on experience with Large Language Models (LLMs) and Generative AI in professional or research environments. Strong understanding of frontier model evaluation methodologies and the current research landscape. Proficiency in Python and major ML frameworks (e.g., PyTorch, TensorFlow). Solid engineering and statistical analysis foundation, with experience developing data-driven methods for assessing model quality. Preferred Qualifications Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, or a related quantitative field. Published research in leading ML or AI conferences such as NeurIPS, ICML, ICLR, or KDD. Experience designing, building, or deploying LLM-as-a-Judge frameworks or other automated evaluation systems for complex models. Experience collaborating with operations or external teams to define high-quality human annotator guidelines. Expertise in ML research engineering, stochastic systems, observability, or LLM-powered applications for model evaluation and analysis. Experience contributing to scalable pipelines that automate the evaluation and monitoring of large-scale models and agents. Familiarity with distributed computing frameworks and modern cloud infrastructure. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$179,400-$224,250 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision . PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.