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Operations engineer jobs in West New York, NJ - 2,286 jobs

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  • Operations Engineer, AMZL Start Up Execution

    Amazon 4.7company rating

    Operations engineer job in Bayonne, NJ

    Amazon created one of the most sophisticated supply chains in the world. From the introduction of Amazon Prime, to the use of advanced technology for package delivery; Amazon consistently drives change from the front of the pack. As an Amazon Logistics [AMZL] Operations Engineer, you will lead and manage the lifecycle of challenging cross-functional projects, developing and delivering the next generation of sortation and distribution solutions. You are a customer obsessed leader that will play an integral part in planning and implementation of the facility network infrastructure including new builds, retrofits, expansions and program initiatives. Partnering with internal customers and internal/external stakeholders to engage as a team and ensure a timely handover will be part of your critical tasks. Key competencies of this position include insisting on the highest standards ensuring that contracted resources meet schedule, budgetary, safety and driving quality targets; analyzing and deep diving systems performance, inventing and simplifying solutions that allow for improved processes and results; and providing technical expertise to internal customers and stakeholders. Key job responsibilities -Work independently with internal and external teams to successfully manage the lifecycle of the challenging projects, and act as owner in delivering on projects objectives and targets. Projects may span organizations or geographies in support of business objectives. -Actively participate in firm engineering reviews, and make tangible impact on the proposed solutions on an individual system or its components, on the overall systems architecture, and on facility processes . -Partner with internal teams, stakeholders and external vendors to set project priorities, establish milestones, and drive schedules to meet deadlines. Proactively assess stakeholders' dependencies and milestones, problem-solve and drive solutions to mitigate the impact from the issues. -Lead and coordinate all execution efforts in delivering systems and automated equipment designs per established standards and guidelines. Perform equipment/systems installation, throughput and safety qualifications. Simplify, optimize, remove bottlenecks and provide feedback while resolving difficult system problems or technical deficiencies. -Lead effective meetings by setting the objectives, putting the right people in the room and driving detailed business and technical discussions/alignment. Document meetings discussions, decisions and future steps ensuring alignment on expectations with internal partner teams and outside vendors. -Promptly and accurately communicate project status, risk analysis and risk mitigation plans. Effectively answer project questions in detail, and regularly produce clear and concise summaries for the projects to leadership/management team. -Competently articulate system and/or equipment designs, including layouts, technical specifications and functional capabilities, to internal customers and partner teams. -Efficiently manage change order controls, purchase orders, and invoice validation/approvals. -Excel at building strong working relationships with internal and external stakeholders across multiple projects -Identify and lead process improvement initiatives that improve the Engineering and cross-teams' efficiencies, optimizing the teams' value and delivery. Through collaboration, generate high-quality, cost-effective solutions in compressed periods of time. -Travel up to 80% domestically although travel intensity can be variable and consist of up to three weeks in a row, including weekends. A day in the life You are managing quality of implementation through multiple projects that can vary in scope, complexity and duration. Daily tasks may comprise of site coordination with operations teams and contractors on project execution activities or changes; deep diving project progress, schedule and resources, while identifying barriers, creating solutions and driving resolutions. You may be facilitating the planning and/or implementation meetings with projects' stakeholders, ensuring alignment in objectives, expectations, and the next steps; you would capture and publish detailed notes after each meeting to drive ownership and follow-through on the actions and decisions. Reviewing/approving audit mechanisms and documentation is one of the essential tasks, and you may be tracking the programmatic week on week installation opportunities with the internal automation teams. You may be brainstorming and developing workaround solutions while mitigating the project delays or design issues. As a part of the acceptance testing you may be performing systems installation quality, safety, throughput and performance qualifications, frequently communicating the progress to internal and external stakeholders. In addition, you may be supporting/training other engineering team members, utilizing the knowledge of Amazon's safety, mechanical, electrical and controls installation standard and guidelines. About the team At Amazon, we are all Owners and leverage unique opportunities presented to us by owning everything from firm engineering to project execution and final hand-off to our customers. We are a diverse, upbeat, creative team of engineers and managers working on a daily basis to ensure that our internal customers have capabilities to deliver on the Customer Promise. We not only build, but we are also consistently improving our capabilities at Amazon. Continuous improvement is the ongoing enhancement of our systems designs, through incremental and breakthrough developments. We are continually raising the quality bar, and are never satisfied. We seek to improve through captured lessons learned, that are incorporated back into our mechanisms as a way to perpetually improve upon the next design and processes iterations. We continually learn, grow and develop throughout the organization and our Subject Matter Expertise is leveraged globally. We are the Team! We collaborate, support, help and leverage each other in delivering on the business objectives. Basic Qualifications - Bachelor's Degree in Industrial Engineering, Electrical Engineering, Mechanical Engineering, or other STEM field. - 4+ years of experience as a project engineer, process engineer, project manager, manufacturing engineer, or related occupation. - Experience with leading projects, programs or initiatives with continually increasing scope and impact. - Experience managing the lifecycle of cross-functional projects, implementing automated equipment and/or integrated systems. - Experience with CAD software (AutoCAD, REVIT, BIM 360, etc.). Preferred Qualifications - Master's degree in Engineering, Operations or a related STEM field. - Operations Management/Distribution Center experience with direct management or responsibility for material handling, automation, or other technical projects. - Experience with Six Sigma and/or Lean Manufacturing. - Experience with Microsoft Project, Smartsheet programs. - Experience with design and/or implementation automation solutions, such as Conveyors, Sorters, high speed manufacturing and packaging lines, Robotic work cells. - Proven technical leadership for industrial engineering projects or programs. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $68,900/year in our lowest geographic market up to $126,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************* . This position will remain posted until filled. Applicants should apply via our internal or external career site.
    $68.9k-126.4k yearly 7d ago
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  • PhD Machine Learning Engineer, New Grad

    Stripe 4.5company rating

    Operations engineer job in New York, NY

    Stripe is a financial infrastructure platform for businesses. Millions of companies-from the world's largest enterprises to the most ambitious startups-use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Stripe's Applied ML organization is excited to offer new grad PhD machine learning engineering positions for 2026. This is an exceptional opportunity to contribute to critical projects that directly enhance Stripe's suite of products, focusing on areas such as foundation models used for dozens of tasks e.g. fraud detection, enhanced support, and predicting user behavior. You will tackle challenging problems at the intersection of finance, technology, and data. You'll have the chance to work on creative projects like the Stripe Assistant and the Stripe Foundation Model, which leverage machine learning to revolutionize how businesses interact with financial services and data. What you'll do Responsibilities Develop and deploy large-scale machine learning systems that drive significant business value across various domains. Engage in the end-to-end process of designing, training, improving, and launching machine learning models. Write production-scale ML models that will be deployed to help Stripe enable economic infrastructure access for a diverse range of businesses globally. Collaborate across teams to incorporate feedback and proactively seek solutions to challenges. Rapidly learn new technologies and approaches, demonstrating a strong ability to ask insightful questions and communicate the status of your work effectively. Who you are A deep understanding of computer science, obtained through the pursuit of a PhD in Computer Science, Machine Learning, or a closely related field, with the expectation of graduating in winter 2025 or spring/summer 2026. Practical experience with programming and machine learning, evidenced by projects, classwork, or research. Familiarity with languages such as Python, Scala, Spark and libraries such as Pandas, NumPy, and Scikit-learn. Expertise in areas of machine learning such as supervised and unsupervised learning techniques, ML operations, and possibly experience in Large Language Models or Reinforcement Learning. Demonstrated ability to work on collaborative projects, with experience in receiving and applying feedback from various stakeholders. A proactive approach to learning unfamiliar systems and a demonstrated ability to understand complex systems independently. Preferred qualifications Two years of university education or equivalent experience, with in-depth knowledge in specific domains of machine learning. Published and presented peer-reviewed articles in top-tier venues. Experience in writing high-quality pull requests, maintaining good test coverage, and completing projects with minimal defects. Familiarity with navigating new codebases and managing work across different programming languages. Excellent written communication skills to clearly articulate your work to both team members and wider Stripe audiences. Application requirements Please submit the following with your application: A description of your work history (either a resume, LinkedIn Profile, website, or other portfolio of work) Examples of relevant work and your approach to learning, such as GitHub repositories, StackOverflow contributions, or other project portfolios. Office-assigned Stripes in most of our locations are currently expected to spend at least 50% of the time in a given month in their local office or with users. This expectation may vary depending on role, team and location. For example, Stripes in our Bucharest, Romania site have an 80% in-office expectation, and those in Stripe Delivery Center roles in Mexico City, Mexico and Bengaluru, India work 100% from the office. Also, some teams have greater in-office attendance requirements, to appropriately support our users and workflows, which the hiring manager will discuss. This approach helps strike a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility when possible. The annual US base salary range for this role is $180,000 - $270,000. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. At Stripe, we're looking for people with passion, grit, and integrity. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and passion will stand out-and set you apart-especially if your career has taken some extraordinary twists and turns. At Stripe, we welcome diverse perspectives and people who think rigorously and aren't afraid to challenge assumptions. Join us. #J-18808-Ljbffr
    $180k-270k yearly 5d ago

  • Machine Learning Engineer

    Trov 4.1company rating

    Operations engineer job in New York, NY

    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
    $230k-250k yearly 2d ago

  • Mechanical Engineer

    Actalent

    Operations engineer job in Fairfield, NJ

    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. 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 Feb 2, 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.
    $40-50 hourly 2d ago

  • Cloud Ops/DB Engineer

    Ltimindtree

    Operations engineer job in Berkeley Heights, NJ

    LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law. A little about us... Role: Cloud Ops/DB Engineer Location: Berkeley Heights, NJ Job Description: Responsibilities: 9+ years of experience. Manage and optimize cloud-based databases and infrastructure hosted on AWS Monitor database performance and ensure high availability and security Troubleshoot and resolve database related issues and incidents Collaborate with development teams to design and implement scalable and efficient database solutions Implement and maintain database backup and recovery processes Perform database tuning and query optimization to enhance performance Stay updated with the latest trends and best practices in cloud database management and AWS services Requirements: Bachelor's degree in computer science information technology or a related field Experience in managing cloud-based databases and infrastructure preferably on AWS Proficiency in database administration backup and recovery processes Strong understanding of database security best practices and compliance Excellent problem solving and troubleshooting skills Good communication and collaboration skills Relevant certifications eg AWS Certified Database Specialty are a plus LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.
    $68k-108k yearly est. 1d ago

  • Technical Program Management Engineer-A&D

    Celestica 4.5company rating

    Operations engineer job in New York, NY

    Region: Americas Country: USA State/Province: New Hampshire City: Remote Employee US **Job Title:** Staff Engineer, Program / Project Management **Functional Area:** Engineering (ENG) **Career Stream:** Program / Project Management (EPM) **Role:** Staff Engineer (SEN) **Job Code:** SEN-ENG-EPM **Job Band:** 10 **Direct/Indirect Indicator:** Indirect **Summary** The Project/Program Manager is accountable for planning and directing design engineers and other technical engineers working on specific projects. They manage the development, implementation, and evaluation of complex designs. They are responsible for managing large projects with complex scope, multiple streams of work and inter-dependencies. **Detailed Description** **Performs tasks such as, but not limited to, the following:** + Manage two or more projects of medium to high complexity in A&D market segment (technology, organizationally). Lead cross-functional, global core team(s), kick off programs, establish schedules and drive meetings + Present and communicate status to the business leaders and customers. Reviews and interprets customer documentation. + Implement change as directed in the product lifecycle process and recommends process improvements + Plan the overall program and monitor the progress. Drive the creation, review, approval and update of the Program Plan/WBS including resources. + Daily program management throughout the program life. You will be the go-to person for everything involving a project's organization and timeline + Drive the program core team to meet or exceed program objectives (Cost, Quality, Schedule, Features, Fulfillment/Continuity of Supply, Solution delivery across products & service offerings, Customer Specific Needs) + Define the program governance (controls) + Manage the program's budget. Forecast actuals against plan/quote for income/revenue, cost/labour & expense + Manage risks and issues, taking corrective measurements + Provide leadership and technical recommendations to help move projects forward (incl. Escalation and reporting to Management team) - particularly in times of impasse, ambiguity, or conflict + Coordinate the projects and their interdependencies. Manage and utilize resources across projects + Engage, collaborate and coordinate with customers and other Celestica teams across different geographies + Align the deliverables (outputs) to the program's "outcome" with the aid of the business change manager + Manage & maintain the main program documentation, such as the Program Initiation document **Knowledge/Skills/Competencies** + Project Management specific tools, software & methodologies (incl: Project plan creation, establish and distribute project roles, and communicate effectively what is needed in order to make the project successful. Risk management, Change management, Negotiation, Business case generation...) + Specific knowledge in the A&D market and technologies preferred + Strong interpersonal skills (leadership and communication) + Effective written and verbal communication at all organizational levels and have the ability to rapidly establish a broad network + Possess a positive, can-do attitude and a collaborative nature **Physical Demands** + Duties of this position are performed in a normal office environment. + Duties may require extended periods of sitting and sustained visual concentration on a computer monitor or on numbers and other detailed data. + Repetitive manual movements (e.g., data entry, using a computer mouse, using a calculator, etc.) are frequently required. + Occasional travel may be required (up to 25%) **Typical Experience** + Minimum of 5 years experience leading product development or manufacturing projects. + Candidates with experience in a technical or highly regulated industry (e.g.,A&D, Healthtech or Manufacturing) will be given preference **Typical Education** Bachelor / Master Degree Engineering PMP Certified as an advantage Educational Requirements may vary by Geography **Salary Range** The salary range described in this posting is an estimate by the Company, and may change based on several factors, including by not limited to a change in the duties covered by the job posting, or the credentials, experience or geographic jurisdiction of the successful candidate. Salary Range: $107-147k Annually **Notes** This job description is not intended to be an exhaustive list of all duties and responsibilities of the position. Employees are held accountable for all duties of the job. Job duties and the % of time identified for any function are subject to change at any time. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Celestica's policy on equal employment opportunity prohibits discrimination based on race, color, creed, religion, national origin, gender, sexual orientation, gender identity, age, marital status, veteran or disability status, or other characteristics protected by law. This policy applies to hiring, promotion, discharge, pay, fringe benefits, job training, classification, referral and other aspects of employment and also states that retaliation against a person who files a charge of discrimination, participates in a discrimination proceeding, or otherwise opposes an unlawful employment practice will not be tolerated. All information will be kept confidential according to EEO guidelines. COMPANY OVERVIEW: Celestica (NYSE, TSX: CLS) enables the world's best brands. Through our recognized customer-centric approach, we partner with leading companies in Aerospace and Defense, Communications, Enterprise, HealthTech, Industrial, Capital Equipment and Energy to deliver solutions for their most complex challenges. As a leader in design, manufacturing, hardware platform and supply chain solutions, Celestica brings global expertise and insight at every stage of product development - from drawing board to full-scale production and after-market services for products from advanced medical devices, to highly engineered aviation systems, to next-generation hardware platform solutions for the Cloud. Headquartered in Toronto, with talented teams spanning 40+ locations in 13 countries across the Americas, Europe and Asia, we imagine, develop and deliver a better future with our customers. Celestica would like to thank all applicants, however, only qualified applicants will be contacted. Celestica does not accept unsolicited resumes from recruitment agencies or fee based recruitment services. This location is a US ITAR facility and these positions will involve the release of export controlled goods either directly to employees or through the employee's movement within the facility. As such, Celestica will require necessary information from all applicants upon an applicant's acceptance of employment to determine if any export control exemptions or licenses must be filed.
    $107k-147k yearly 6d ago

  • Product Engineer

    DRH Search

    Operations engineer job in New York, NY

    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
    $77k-102k yearly est. 5d ago

  • Product Engineering Lead, US

    Namespace Labs Inc.

    Operations engineer job in New York, NY

    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
    $77k-102k yearly est. 1d ago

  • + 3D Machine Learning Engineer

    Allsides Media

    Operations engineer job in New York, NY

    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
    $83k-124k yearly est. 4d ago

  • Production Service Engineer 3

    Adobe, Inc. 4.8company rating

    Operations engineer job in New York, NY

    Adobe is seeking as UNIX Administrator with excellent technical, process and automation skills to be part of High-Performance Cloud Operations Team. As an Infrastructure Administrator, this person is responsible for the daily administration of Linux Service Engineer, Production, Engineer, Monitoring, Application, Service, Technology, Transportation
    $109k-146k yearly est. 6d ago

  • ITS Traffic Engineer

    Arcadis Global 4.8company rating

    Operations engineer job in New York, NY

    Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy solutions for natural and built assets. We are more than 36,000 people, in over 70 countries, dedicated to improving quality of life. Everyone has an important role to play. With the power of many curious minds, together we can solve the world's most complex challenges and deliver more impact together. Role description: Arcadis is seeking an Intelligent Transportation System/Traffic Engineer to join our transportation team in New York. The ITS/Traffic Engineer will involve a range of responsibilities focused on improving safety and operations. You will have the opportunity to work alongside senior program managers, project managers, and engineers to lead the delivery for programs and projects in the New York City area as well as other projects throughout the country. This role is in the Global Mobility Business Area. We partner with our clients across the globe to design thriving and connected cities and communities that enable opportunity for all and keep the world moving. Climate change, urbanization and digitization trends are requiring today's mobility projects and systems to address an evolving set of demands from the world's growing population. We design connected, sustainable solutions that integrate existing infrastructure with new technologies, and optimize the mobility of people and goods. Role accountabilities: Work on transportation projects that include Intelligent Transportation System (ITS), Transportation Systems Management and Operations (TSMO), and traffic engineering with a focus on improving safety and operations. Coordinate with Senior Engineers and Managers to develop scope, schedule, and budget for projects and programs. Create technical results and recommendations for clients. Coordinate with a wide range of subject matter experts including survey, roadway design, and environmental to successfully deliver client projects. Assist team and other engineers in developing technical approaches and review technical alternatives. Assist in the preparation of traffic engineering plans for signal designs, signing and marking designs, conceptual designs for intersections, and/or Intelligent Transportation System (ITS) designs. Undertake training and guidance to increase knowledge in areas of technical proficiency. Key Skills: Understanding of the use of traffic analysis tools including VISSIM, Sidra, Synchro/SimTraffic, and HCS Understanding of the application of traffic operations principles including ITE, MUTCD, AASHTO, and state DOT requirements, policies, manuals and procedures Experience/familiarity with Microstation, Bentley OpenRoads and/or AutoCAD Operational or maintenance practices within ITS, TSMO, or Traffic Qualifications & Experience: Required Qualifications: 2+ years of relevant work experience Bachelor's Degree in Civil, Electrical Engineering or similar field Must have EIT Must possess a U.S. Driver's License Experience in operational and/or safety analysis. Experience with standard CAD software such as Microstation or AutoCAD Preferred Qualifications: * Experience with signal, ITS, and/or signing and marking design. * Experience with public sector clients and projects. Why Arcadis? We can only achieve our goals when everyone is empowered to be their best. We believe everyone's contribution matters. It's why we are pioneering a skills-based approach, where you can harness your unique experience and expertise to carve your career path and maximize the impact we can make together. You'll do meaningful work, and no matter what role, you'll be helping to deliver sustainable solutions for a more prosperous planet. Make your mark, on your career, your colleagues, your clients, your life and the world around you. Together, we can create a lasting legacy. Join Arcadis. Create a Legacy. Our Commitment to Equality, Diversity, Inclusion & Belonging We want you to be able to bring your best self to work every day which is why we take equality and inclusion seriously and hold ourselves to account for our actions. Our ambition is to be an employer of choice and provide a great place to work for all our people. We are an equal opportunity and affirmative action employer. Women, minorities, people with disabilities and veterans are strongly encouraged to apply. We are dedicated to a policy of non-discrimination in employment on any basis including race, creed, color, religion, national origin, sex, age, disability, marital status, sexual orientation, gender identity, citizenship status, disability, veteran status, or any other basis prohibited by law. Arcadis offers benefits for full time and part time positions. These benefits include medical, dental, and vision, EAP, 401K, STD, LTD, AD&D, life insurance, paid parental leave, reward & recognition program and optional benefits including wellbeing benefits, adoption assistance and tuition reimbursement. We offer nine paid holidays and 15 days PTO that accrue per year. The salary range for this position is $72,232 - $125,000. Actual salaries will vary and are based on several factors, such as experience, education, budget, internal equity, project and location. #LI-HYBRID #Mobility-NA #Mobility-ANA-Jobs #Traffic-ANA #LI-HA1
    $72.2k-125k yearly 4d ago

  • Senior Product Engineer, Americas - Own End-to-End Features

    Ashby

    Operations engineer job in New York, NY

    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
    $86k-112k yearly est. 4d ago

  • Sr. Protocol Engineer, Product

    Remoteworldwide

    Operations engineer job in New York, NY

    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
    $86k-112k yearly est. 1d ago

  • Staff ML Engineer, Product

    Truebill 3.6company rating

    Operations engineer job in New York, NY

    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
    $65k-102k yearly est. 4d ago

  • Principal Machine Learning Engineer

    Harnham

    Operations engineer job in New York, NY

    New York, New York - 3 days/week hybrid $250,000-275,000 base salary + bonus + equity THE COMPANY Harnham is partnering with an innovative health-tech startup building patient-focused agentic AI and LLM applications to advance capabilities in medical claims in hospitals. The AI engineering team builds scalable, data-driven solutions that personalize user experiences and equip care providers with actionable insights, all while working with large-scale infrastructure and diverse technologies. THE ROLE You will be responsible for machine learning model building, development, deployment and scalability for the company's agentic AI product across HUNDREDS of hospitals You will report directly to the founding team and work closely on technical direction Own AI infrastructure and quickly build into production, particularly focusing on novel AI and LLM applications You will implement and design code and build out to production using various machine learning and LLM techniques, owning machine learning workflow operations and distributed systems Own CI/CD pipelines for MLOps / LLMOps You will play an integral role of building out the AI team and scaling out its product Act as a thought leader role for AI across the business, mentoring junior team members YOUR SKILLS AND EXPERIENCE The successful Principal Machine Learning Engineer will likely have the following skills and experience: 10+ years of commercial experience preferred with a focus on end-to-end building and deploying machine learning and LLM models, ideally with voice, multi-modal or chatbot systems Experience working in a scaling startup is highly preferred Expertise in Python (TensorFlow, PyTorch) for production-grade work Commercial experience building novel AI platforms with large datasets History of working with and managing real-time AI applications in production settings Cloud experience in AWS, Azure or GCP DevOps experience with CI/CD pipelines required History of working on models from concept to production / end-to-end / 0-1 Software engineering background preferred, MLOps experience with MLFlow, Kubeflow or similar Containerization experience with Docker or Kubernetes Experience in settings wearing multiple hats Domain experience in healthcare, health-tech, med-tech or similar a plus; EHR, EMR, claims, HEOR or other medical data exposure highly preferred History of partnering with non-technical stakeholders required Experience owning projects directly preferred BS or MS degree in Computer Science, Statistics, Applied Mathematics, Computer Engineering or similar THE BENEFITS A competitive base salary of $250,000-275,000 + benefits + equity HOW TO APPLY Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page. KEYWORDS Machine Learning | AI | Artificial Intelligence | Technology | MLOps | LLMOps | Health-tech | Healthcare | Medical | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | Voice Bots | Chatbots | Natural Language Processing | Infrastructure | Architecture | CI/CD | Continuous Integration | Continuous Deployment | EHR | Electronic Health | Electronic Medical | HEOR | Claims Data | Patient | Hospital | Docker | Kubernetes | Weights & Biases | MLFlow | PyTorch | TensorFlow | Publications | Patents
    $83k-124k yearly est. 1d ago

  • Staff AI/ML Engineer, Payments & Risk Platform

    Gusto 4.5company rating

    Operations engineer job in New York, NY

    A modern financial technology company is seeking a Staff Applied AI and Machine Learning Engineer in Seattle. You will lead the development of machine learning models to enhance risk management within a primarily payments-focused environment. Ideal candidates have over 8 years of experience in data science, expertise in statistical analysis, and strong programming skills in Python or R. This role requires effective communication and collaboration across diverse teams, offering an opportunity to make a significant impact on product development. #J-18808-Ljbffr
    $66k-103k yearly est. 1d ago

  • Product Engineer

    Ideavillage Products Corp

    Operations engineer job in Wayne, NJ

    About Us: Ideavillage is a leading direct-response TV and consumer products marketing company that designs, sources, markets and sells high quality products in multiple segments, including women's and men's apparel, accessories, health and wellness and beauty. Our products are distributed to over 60,000 stores including major retail chains such as Walmart, Target, CVS, Walgreens, and Dick's Sporting Goods. Ideavillage has launched well-known brands which include Copper Fit, Micro Touch, Finishing Touch, and Flawless. The corporate focus is to expand its successful product launches into long-term brands. Job Description: IdeaVillage is seeking a hands-on Product Engineer with electrical engineering experience to support our growing portfolio of consumer products. This role will work across the full product lifecycle - from concept and prototyping through compliance, production, and launch. Proven ability to improve product quality, reduce defects, and accelerate development timelines through data-driven engineering and cross-functional collaboration. The ideal candidate is technical, detail-oriented, and comfortable working with overseas factories, particularly in Asia. You will collaborate closely with Product Development, QA, Supply Chain, and Leadership to bring innovative, high-quality products to market. Key Responsibilities Support the full product development lifecycle, from concept and prototyping through testing, production, and shipment Evaluate product samples for performance, durability, manufacturability, and compliance considerations Troubleshoot and resolve mechanical and/or electrical issues using Root Cause / Corrective Action methods Assist with regulatory compliance, safety testing, and certification (UL, CSA, Intertek, FCC, CE, etc.) Recommend design, component, material, and process improvements to enhance product quality, performance, and cost Collaborate with cross-functional teams and work closely with Asia-based factories and suppliers to support development and production Provide technical support during manufacturing and scale-up Document test processes, results, and engineering changes in clear technical reports Required Qualifications Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a related field 3-5 years technical experience in a manufacturing or product development environment Familiarity with regulatory agencies and industry standards (UL, CSA, Intertek, FCC, CE, etc.) General understanding of Root Cause / Corrective Action (RCCA) Strong written and verbal communication skills (technical reporting required) Detail-oriented with strong analytical and problem-solving abilities Proven ability to manage multiple projects and work cross-functionally Bonus Experience Experience with small appliances, grooming tools, vibration devices, motors, or battery-powered products Experience working with overseas factories (China, Vietnam, Thailand, etc.) Experience and working knowledge of common test equipment (e.g., oscilloscopes, multimeters, power supplies, electric load, current sensors, signal generators, spectrum analyzers, and LISNs) Travel Requirement Willing to travel domestically and internationally 3-5 times per year to support projects and factory engagements
    $73k-97k yearly est. 2d ago

  • Building Engineer

    CBRE 4.5company rating

    Operations engineer job in Parsippany-Troy Hills, NJ

    Job ID 253083 Posted 15-Jan-2026 Service line GWS Segment Role type Full-time Areas of Interest Engineering/Maintenance, Facilities Management, Property Management If you're a hands-on problem solver with a passion for keeping facilities safe, efficient, and operational, this is your opportunity to grow with a global leader in real estate services. As a CBRE Building Engineer, you will be involved in maintaining and repairing building systems-including mechanical, plumbing, electrical, fire safety, and HVAC-while ensuring compliance with safety codes and energy efficiency standards. This role will support preventive maintenance, emergency repairs, and inspections, onsite at a large customer contact center in Parsippany, NJ. This is a 1st shift position working Monday- Friday from 7:00am-4:00pm **What You'll Do:** + Perform maintenance and repairs to the mechanical, plumbing, structural, furniture, fire, life safety, and control systems. Keep facility and building systems up to applicable standards as assigned. + Align with all applicable codes, regulations, governmental agency, and company directives related to building operations and work safety. + Maintain an energy management program. Ensure all systems operate in the most efficient manner. + Assist with the implementation of a preventive maintenance program to ensure that building machinery and systems meet or exceed their rated life. Perform emergency repairs as needed. + Follow departmental policies for the safe storage, usage, and disposal of hazardous materials. Maintain a clean and safe workplace. + Review inspection to building systems including fire alarms, HVAC, and plumbing to ensure operation of equipment is within design capabilities and achieves environmental conditions prescribed by client. + Apply advanced knowledge to tackle sophisticated problems, mentor others across fields, and lead by example in alignment with CBRE RISE values to foster collaboration and consensus. **What You'll** - CBRE carefully considers multiple factors to determine compensation, including a candidate's education, training, and experience. The minimum salary for the [Mobile Engineer] position is $29.00 per hour and the maximum salary for the [Mobile Engineer] position is $31.00 per hour. The compensation that is offered to a successful candidate will depend on the candidate's skills, qualifications, and experience. - Benefits for Full-Time Employees o Corporate welfare benefits, which includes medical, dental, vision, disability, health care and dependent care reimbursement accounts, life and AD&D insurance o 401(k) Plan o Paid time off, parental leave, and holidays are available as established by Company policy **Equal Employment Opportunity:** CBRE has a long-standing commitment to providing equal employment opportunity to all qualified applicants regardless of race, color, religion, national origin, sex, sexual orientation, gender identity, pregnancy, age, citizenship, marital status, disability, veteran status, political belief, or any other basis protected by applicable law. **Candidate Accommodations:** CBRE values the differences of all current and prospective employees and recognizes how every employee contributes to our company's success. CBRE provides reasonable accommodations in job application procedures for individuals with disabilities. If you require assistance due to a disability in the application or recruitment process, please submit a request via email at recruitingaccommodations@cbre.com or via telephone at *************** (U.S.) and *************** (Canada). CBRE, Inc. is an Equal Opportunity and Affirmative Action Employer (Women/Minorities/Persons with Disabilities/US Veterans)
    $29-31 hourly 2d ago

  • Design Engineer - Audio-Visual

    Tritech Communications Inc. 4.3company rating

    Operations engineer job in New York, NY

    We invite you to discover the excitement, diversity, rewards and excellence of a career at TRITECH Communications. With $100 million in annual revenues and 350+ employees, TRITECH is one of the nation's leading technology system integrators serving clients in corporate, education, healthcare and government industries. Our OneSource business model provides clients with a single source for the design, installation and maintenance of large / complex Audio Visual, Communications, PoE Lighting and Electronic Security Systems. Our corporate headquarters is located in Garden City, NY and the company operates four regional operations centers in New York City, Boston, Miami, Tampa and Washington DC. The AV Design Engineer will be responsible for executing and leading the full design process from ideation to production. You will draw new designs and update our current designs for new and current customers. Additionally, you will provide engineering support to our technical staff for design/build engagements. Responsibilities Lead the development of preliminary system design drawings, construction documents, equipment specifications and cost proposals. Work with our business units and end users to lead the technology design and discussion, analyze current client technology, listen to goals and challenges to help achieve desired outcomes. Create sales proposals in coordination with Estimating team for clients. Work with Program Manager and Project Team to verify system functionality through out implementation process. Develop and maintain knowledge of current and new technologies. Provide sales and technical staff with lessons learned on both a pre and post sales basis. Qualifications: Minimum 5 years working experience in the audio-visual or electronics field Preferred experience in the architectural or construction design space CTS and CTS-D certification preferred Proficiency in CAD and Microsoft Office Suite Ability to manage multiple tasks and priorities Ability to create architectural plans and modify architects' drawings to incorporate into systems. Excellent written and verbal communication skills with internal and external stakeholders TRITECH is an Equal Opportunity Employer
    $66k-83k yearly est. 4d ago

  • Staff ML Engineer: AI Product & Platform Leader

    Truebill 3.6company rating

    Operations engineer job in New York, NY

    A financial technology company in San Francisco is seeking a Staff Machine Learning Engineer to lead the development of sophisticated AI and ML systems. You will be responsible for designing robust frameworks, implementing new product features, and mentoring team members. The ideal candidate should have over 8 years of experience and expertise in Python and machine learning. The role offers competitive pay and various benefits, including health plans and unlimited PTO. #J-18808-Ljbffr
    $65k-102k yearly est. 4d ago

Learn more about operations engineer jobs

How much does an operations engineer earn in West New York, NJ?

The average operations engineer in West New York, NJ earns between $55,000 and $133,000 annually. This compares to the national average operations engineer range of $63,000 to $132,000.

Average operations engineer salary in West New York, NJ

$86,000

What are the biggest employers of Operations Engineers in West New York, NJ?

The biggest employers of Operations Engineers in West New York, NJ are:
  1. Cushman & Wakefield
  2. Amazon
  3. Tiffany & Co.
  4. Nominal
  5. Five Rings Financial
  6. Rutgers University
  7. Meta
  8. Hines
  9. LOOP
  10. Atto Trading Technologies
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