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  • Operations Engineer, GEMS NA Ops Engineering

    Amazon 4.7company rating

    Operations engineer job in New York, NY

    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 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. As an Operations Engineer for Amazon, you will work with some of the most talented engineers in the design, development, and delivery of physical distribution systems around the globe. You are responsible for managing a technology or integration project, successfully delivering the solution to meet project goals. You may work directly with external equipment vendors, customers, or partners, and you have a solid understanding of the design approaches and industry technologies utilized in fulfillment and distribution center designs. To meet timelines and minimize disruption to support teams, you manage the overall schedule, proactively mitigate risks, and keep the scope of engineering deliverables under control. This role requires 75% regional travel on a yearly basis. When not traveling, you must have availability to work from a corporate office. Candidates should either live near or be willing to relocate within a reasonable commuting distance of one of the corporate office locations listed. Relocation assistance may be provided. Key job responsibilities - Work independently with internal and external teams to successfully manage the lifecycle of challenging projects, and act as owner in delivering on project 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/system 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 meeting 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 project 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. - Up to 75% travel 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 one or 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 and approving Sorter System Functional specification document is one of the essential tasks, and you may be tracking the on-time creation of the sorter configurations 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. Global Engineering, Maintenance, & Sustainability (GEMS) North America Operations Engineering, or NA Ops Eng, works across North America to deliver Material Handling System launches, retrofits, and innovations. A day in the life can take place on a jobsite, in an active facility, or in one of Amazon's corporate offices. GEMS NA Ops Eng is highly team-oriented, working daily be smarter together, be faster together, and to grow together. About the team The OE Execution Team is responsible for delivery of Automation Infrastructure projects related to material handling, storage, processing, and delivery of products to retrofits and newbuilds throughout First and Middle Miles across all regions within North America. 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 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. Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan If you are not sure that every qualification on the list describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply! Basic Qualifications - Bachelor's degree in industrial or manufacturing engineering - 4+ years of industrial engineer, operations engineer, manufacturing engineer, or project engineer in a manufacturing environment experience - Experience Experience working with Material handling equipment (MHE) - Knowledge of automated material handling systems, packaging technologies and storage solutions - Knowledge of AutoCAD, VBA, and SQL at the intermediate level Preferred Qualifications - Experience working with and managing third party vendors - Experience with Six Sigma, lean manufacturing - Master's degree in engineering, management, or technology - Knowledge of Microsoft Office products and applications (Excel, PowerPoint, Word, Visio, and MS Project) at an advanced level Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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 2d ago
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  • 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 5d ago
  • Staff Applied AI and Machine Learning Engineer, Payments & Risk

    Gusto 4.5company rating

    Operations engineer job in New York, NY

    At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff-like payroll, health insurance, 401(k)s, and HR-so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we're proud to support more than 400,000 small businesses across the country, and we're building a workplace that represents and celebrates the customers we serve. Learn more about our Total Rewards philosophy . About the Role: Gusto's Data Science team leverages Gusto's rich dataset to guide product direction and decision-making. We operate full-stack, conducting analyses, prototyping and deploying predictive models and statistical tools both for internal use and for our customers. For this role, we are looking for a technical leader (an individual contributor) to drive machine learning and AI in the payment and risk domains. You will build a model-driven risk platform to provide a trusted environment for Gusto Ecosystem. You'll be working with an established team and seasoned payments and risk leaders in Engineering, Product, Design, Operation, Identity and Compliance. In this role, you'll work cross functionally to build Platforms that span the entire breadth of the Payments and Risk Stacks, and use ML and AI to build a world- class, high secure platform that safeguards our users' activities and money, and ensures unparalleled reliability. Here's what you'll do day-to-day: Build and deploy machine learning models to identify, assess and mitigate risks Responsible for driving research in the problem space, working with stakeholders to understand model requirements, developing the model from scratch, deploying the model alongside your engineering counterparts, and monitoring and maintaining the model's performance over time Partner with Engineering, Design, and Product counterparts in Payment and Risk to solve complex cross functional problems Develop scalable frameworks and libraries that enhance and contribute to the team's core analysis and modeling capabilities, including through the integration of LLMs to improve data processing, analysis, and insights. Identify new opportunities to leverage data to improve Gusto's products and help risk management team to understand business requirements and develop tailored solutions Present and communicate results to stakeholders across the company Here's what we're looking for: 8+ years of experience conducting statistical analyses on large datasets and deep domain knowledge in machine learning and artificial intelligence, including familiarity with Large Language Models (LLMs) and their applications. This could mean either a MS or PhD in a quantitative field with at least 5 years experience in a business environment, or BS or Data Science Bootcamp graduate with at least 8 years of experience working as a data scientist or a machine learning engineer in a business setting. Proven experience in credit risk modeling or fraud risk modeling using logistic regression, random forest, Xgboost or neural networks, along with a strong understanding of AI-based approaches and the potential of LLMs to enhance traditional models. Experience applying a variety of statistical and modeling techniques using Python, R or another statistical modeling language, as indicated by familiarity with many of the following techniques - predictive modeling, anomaly detection, ensemble methods, natural language processing (NLP, optional). Basic understanding of LLMs and their applications. Strong programming skills - comfortable with all phases of the data science development process, from initial analysis and model development to deployment Excellent communication skills - able to effectively deliver findings and recommendations to non-technical stakeholders in a clear and compelling fashion PhD or Masters plus equivalent experience in a quantitative field is a plus Experience in the Fintech industry is a plus Our cash compensation amount for this role is targeted at $225,000 - $285,000 for San Francisco, New York, and Seattle, $205,000- $255,000 in Los Angeles, $187,000 - $235,000 in Denver, and $200,000 - $250,000 CAD for Toronto, Canada. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above. Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees. Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto. Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you. Interested in building your career at Gusto, Inc.? Get future opportunities sent straight to your email. #J-18808-Ljbffr
    $225k-285k yearly 4d ago
  • Mechanical Engineer

    Actalent

    Operations engineer job in Fairfield, NJ

    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.
    $40-50 hourly 1d ago
  • Principal AI / Machine Learning Engineer

    ZT Systems Group 4.7company rating

    Operations engineer job in Secaucus, NJ

    **About The Role**The Principal AI/Machine Learning Engineer will oversee defining and executing ZT's roadmap for applying artificial intelligence and machine learning in manufacturing. The AI/ML Transformation Architect will be the pivotal role in shaping ZT's future-state vision for AI & ML by identifying high-impact use cases, preparing the organization structurally and technically for adoption, and driving successful implementation of applications.**What You Will Do*** Lead or contribute to **transformation initiatives**, helping set new standards for how ZT approaches manufacturing risk analysis, quality, and continuous improvement.* Partner with leadership to define the vision and strategy for AI/ML adoption across manufacturing operations.* Work with factory engineering, quality, and operations to identify, evaluate, and prioritize AI/ML use cases that deliver measurable business value.* Collaborate across **design, quality, manufacturing, test, and supplier engineering** to drive solutions that integrate seamlessly into production.* Define and implement **new systems, processes, or frameworks** that support the smart factory vision, including automation, metrology, advanced inspection, and predictive analytics.* Define the organizational, data, and process changes required to prepare the business for AI/ML integration.* Drive the design, development, and deployment of AI/ML solutions, ensuring successful adoption across factories.* Apply AI/ML techniques to analyze manufacturing data sets - including metrology, vision inspection, event data, test results - conduct regression analysis, correlation studies, and commonality analysis.* Leverage **deep, data-rich environments** and tools (e.g., Minitab, JMP, Python, R, SQL) to generate insights that improve yield, reliability, and throughput.* Apply **advanced statistical and analytical methods** (regression, correlation, DOE, SPC, PFMEA, Gauge R&R, commonality studies) to identify, quantify, and control risk in complex manufacturing environments.* Champion the cultural and operational transformation required for AI/ML success, including training and upskilling the industrial engineering team in new methods and approaches for mathematical computing.* Serve as the bridge between industrial engineering, factory engineering teams, quality, and IT on AI/ML initiatives.* Coach and nurture data stakeholders to maximize their potential and facilitate a culture of learning and growth. Act as a thought partner and subject matter expert to refine ideas, generate hypotheses, and analyze data to formulate solutions.* Demonstrate strong leadership and influence management skills, including the ability to challenge the status quo and manage key senior stakeholders.* Use predictive analytics to inform **PFMEA analyses** that will result in actionable process controls, ensuring proactive prevention of variation rather than reactive correction.**What You Bring**The right person for this role is an agent of change and has exceptional analytical capabilities, thrives in a fast-paced environment, loves problem-solving, is a good communicator, and is passionate about enabling the future of cloud computing.* Advanced degree in Engineering, Computer Science, Data Science, or a related field.* 10-15 years of experience in high-volume, high-complexity manufacturing, with at least 5 years in leadership or transformation roles (not necessarily people management).* Demonstrated expertise in statistical and analytical methods such as regression analysis, correlation analysis, DOE, SPC, PFMEA, Gauge R&R, and commonality studies.* Fluency with data-driven tools such as Minitab, JMP, Python, R, SQL (or equivalent) to analyze and interpret large, complex datasets.* Track record of driving measurable improvements in yield, reliability, or process robustness.* Background in electronics assembly, PCBA, servers, or other high-reliability industries (e.g., aerospace, medical devices, automotive, etc.).* Experience with applying **AI/ML toolsets** to statistical problem solving, predictive analytics, or anomaly detection* Experience coaching or mentoring technical teams to upskill in statistical methods and data-driven decision-making.* Strong background in leveraging manufacturing data (metrology, vision systems, event logs, quality data) to build AI/ML-enabled solutions.* Proven ability to drive organizational changes in data-driven transformations.* Advanced skills in mathematical computing with at least one programming language (e.g. Python, R, Java, or equivalents), and the ability to learn technical methods and tools independently.* Advanced skills in data visualization / presentation skills, including the ability to simplify results & statistical concepts into simple and actionable insights.* Excellent communication skills with the ability to engage at both executive and technical levels.* Ability to convert complex (often data driven) topics to clear overviews and insights.* Proven ability to perform effectively in a demanding environment with changing workloads and deadlines.* Growth mindset: believes in continuous learning by dedication of time, effort, and energy.* Takes independent initiative to complete projects with a sense of urgency.Nice to Haves* MBA or exposure to business, finance or economics is advantageous.* Fluency with continuous improvement / lean programs.ZT Systems assesses market data to ensure a competitive compensation package is created for all our employees. The typical base salary for this position is expected to be between $141,000 and $ 188,000 annually. If hired, the final base salary will be determined on an individual basis taking into consideration experience, skills, knowledge, education and/or certifications.Base salary is just one component of ZT Systems total rewards philosophy. We take pride in offering a wide range of benefits and perks that appeal to the variety of needs across our diverse employee base. Other rewards may include bonus, paid time off, generous 401k match, tuition reimbursement, wellbeing resources, and more.We are dedicated to building a diverse, inclusive, and authentic workplace, so if you're excited about this opportunity but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.#ZTMFG2025! #LI-DH1**#ZTMFGPri2025!** ## **About ZT Systems**At ZT Systems, you'll get to do work you are proud of alongside smart, passionate people. Every day, there are opportunities to collaborate with the best in the industry to design, build, and deliver impactful solutions to world-class customers. Along the way, you will gain hands-on experience in a face-paced environment that's challenging, rewarding, and career-defining.A culture built around our values we work hard and think fast. We view challenges as opportunities-to do better, push harder, and be faster than we were the day before. When we fail, we learn from it and move on together. And when we succeed, we use the momentum to go even further. We create value with everything we do, building the foundation of today-and transforming the future of tomorrow.Join ZT Systems and help us build technology infrastructure that connects the world.**What We Offer** At ZT Systems, we believe that investing in our people is key to our continued growth and innovation. When you join our team, you'll gain access to a comprehensive and inclusive benefits package designed to support your well-being, financial security, and professional development-both now and in the future.**Compensation & Financial Security**-Competitive base salary-Performance-based annual bonus eligibility-401(k) retirement savings plan with generous company match-Tuition reimbursement for eligible education programs**Health & Wellness**-Comprehensive medical, dental, #J-18808-Ljbffr
    $141k-188k yearly 2d ago
  • Licensed (Refrigeration) Mechanic - Engineer - Days- Weekends

    Newyork-Presbyterian 4.5company rating

    Operations engineer job in New York, NY

    Licensed Mechanic / Engineer - Allen Hospital The Licensed Engineer ensures efficient and twenty-four-hour operation of equipment and utilities for the hospital's Facilities operation. Inspects buildings, grounds, and systems to ensure the maintenance of service utilities. Personnel understands the interactions required between the Boilers, HVAC equipment, and their effect on operating systems and comfort. Maintains and monitors all hot water, steam, utilities, fire, and fire safety systems by local, state, and federal codes. Responsible for evaluating situations, correcting problems, initiating, and making referrals via phone, email, and text to appropriate specialists, contractors, and departments as necessary. Evaluates and assesses works from prints or drawings. Inspect, monitor, and test mechanical systems associated with lighting, heating, air-Conditioning, plumbing, ventilation, medical air, fire & life Safety, pneumatic tube system, drainage, and water supplies to ensure maintenance. Makes emergency repairs pneumatic, mechanical and electrical systems to prevent or stop interruptions of utility services. Maintains, records, and reports all daily activities by logging all work completed, including any unusual conditions arising during the shift. This is a full time position, Tuesday-Saturday 8am-4pm with rotating holidays, located at NewYork-Presbyterian/ Allen Hospital. Required Criteria High School Diploma or GED Minimum of four (4) years of general maintenance experience in plumbing, Electrical systems and Heating, Ventilation and Air-Conditioning (H.V.A.C.) Experience with shop tools, pipe threading, electric drills, rotary hammers, steam pressure reducing valve stations, etc New York State Refrigeration Machine Operators License Q-01 New York City Fire Department Certificate of Fitness for Operation and Maintenance of Air CompressorG-35 - Must be obtained during probation within 90 days of hire New York City Fire Department Certificate of Fitness for Fuel-Oil Piping and Storage System P-98 - Must be obtained during probation within 90 days of hire New York City Fire Department Certificate of Fitness for Torch Use of FlammableGasesG-60 - Must be obtained during probation within 90 days of hire New York City Fire Department Certificate of Fitness for FireguardF-60 - Must be obtained during probation within 90 days of hire New York City Fire Department Certificate of Fitness Supervision of Fire Alarm Systems S-95 - Must be obtained during probation within 90 days of hire New York City Fire Department Certificate of Fitness Supervision of Fire Alarm Systems S-12 -Must be obtained during probation within 90 days of hire New York City Fire Department Certificate of Fitness Supervision of Fire Alarm Systems S-13 - Must be obtained during probation within 90 days of hire New York City Fire Department Certificate of Fitness for Supervision of Piped Non-Flammable Medical Gases G-71 - Must be obtained during probation within 90 days of hire Join a healthcare system where employee engagement is at an all-time high. Here we foster a culture of respect, belonging, and inclusion. Enjoy comprehensive and competitive benefits that support you and your family in every aspect of life. Start your life-changing journey today. Please note that all roles require on-site presence (variable by role). Therefore, all employees should live within a commutable distance to NYP. NYP will not reimburse for travel expenses. __________________ 2024 "Great Place To Work Certified" 2024 "America's Best Large Employers" - Forbes 2024 "Best Places to Work in IT" - Computerworld 2023 "Best Employers for Women" - Forbes 2023 "Workplace Well-being Platinum Winner" - Aetna 2023 "America's Best-In-State Employers" - Forbes "Silver HCM Excellence Award for Learning & Development" - Brandon Hall Group NewYork-Presbyterian Hospital is an equal opportunity employer. Salary Range: $50.84-$54.08/Hourly It all begins with you. Our amazing compensation packages start with competitive base pay and include recognition for your experience, education, and licensure. Then we add our amazing benefits, countless opportunities for personal and professional growth and a dynamic environment that embraces every person. Join our team and discover where amazing works.
    $50.8-54.1 hourly 1d ago
  • Machine Learning Engineer II/III

    Pathai 4.3company rating

    Operations engineer job in New York, NY

    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
    $104k-157k 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. 2d ago
  • Mechanical Engineer

    Harjai Technologies

    Operations engineer job in New York, NY

    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
    $69k-89k yearly est. 3d 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. 3d 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. 4d ago
  • Machine Learning Engineer, Public Sector

    Scale Ai, Inc. 4.1company rating

    Operations engineer job in New York, NY

    The goal of a Machine Learning Engineer at Scale is to leverage techniques in the fields of generative AI, computer vision, reinforcement learning, and agentic AI to improve Scale's products and customer experience in production environments. Our machine learning engineers take advantage of robust internal infrastructure and unique access to massive datasets to deliver improvements to our customers. Our Public Sector Machine Learning team is focused on deploying cutting-edge models to mission-critical government systems through products like Donovan and Thunderforge. Our work spans multiple modalities, with a strong focus on both large language models and computer vision. On the LLM side, we are developing agentic systems that help solve complex operational and planning challenges for government partners. This includes building agent frameworks that integrate with custom retrieval pipelines and production APIs, as well as evaluation tools to benchmark and refine agent behavior. We're also advancing research in areas like reinforcement learning for agentic LLMs, with successful deployment into real-world operational environments. On the computer vision front, we're training advanced models to increase labeling throughput and automate perception tasks. Our efforts include building large-scale fine-tuning pipelines, training models across multiple modalities, and developing generalizable vision foundation models to support a wide range of defense applications. You will: Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers. Improve and maintain production models through retraining, hyperparameter tuning, and architectural updates, while preserving core performance characteristics Collaborate with product and research teams to identify and prototype ML-driven product enhancements, including for upcoming product lines Work with massive datasets to develop both generic models as well as fine tune models for specific products Build scalable machine learning infrastructure to automate and optimize our ML services Serve as a cross-functional representative and advocate for machine learning techniques across engineering and product organizations Be comfortable learning new technologies quickly and managing multiple priorities in a fast-paced environment This role will require an active security clearance or the ability to obtain a security clearance. Ideally You'd Have: Extensive experience using computer vision, deep learning and deep reinforcement Learning, or natural language processing in a production environment Solid background in algorithms, data structures, and object-oriented programming Strong programing skills in Python, experience in Tensorflow or PyTorch Nice to Haves: Graduate degree in Computer Science, Machine Learning or Artificial Intelligence specialization Experience working with cloud platforms (eg. AWS or GCP) and deploying machine learning models in cloud environments Experience with computer vision, generative AI models, large language models, or agentic systems Familiarity with ML evaluation frameworks and agentic model design 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:$208,000-$300,000 USDPlease 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 Washington DC, Texas, Colorado is:$187,000-$270,000 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.
    $208k-300k yearly 5d ago
  • Head of Core Player Engineering & Playback

    The Walt Disney Company 4.6company rating

    Operations engineer job in New York, NY

    A global entertainment leader is looking for a Director of Core Player Engineering to oversee the cohesive media player strategy across various devices including mobile and web. The successful candidate will possess at least 12 years of experience in engineering with a strong focus on media playback technologies. This role focuses on innovation and strategic direction to improve user experience and ensure high-quality streaming globally. Competitive salary and benefits are included. #J-18808-Ljbffr
    $152k-227k yearly est. 1d 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. 2d 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. 4d ago
  • Product Engineer - AI Platform SF or NYC

    Hex 3.9company rating

    Operations engineer job in New York, NY

    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
    $73k-94k yearly est. 5d ago
  • Tech Lead, Product Engineering

    Chronograph, LLC

    Operations engineer job in New York, NY

    Chronograph was founded to bring next-generation technology to private capital markets. Our cloud-based analytics and data management suite empowers top venture capital, private equity, and credit funds worldwide to analyze their investment performance in detail, with over $20 trillion of AUM monitored via our solution suite. At Chronograph, we have the unique opportunity to work with investors who are driving some of the most impactful changes in start-ups, global infrastructure, renewable energy, and growth equity. With backing from The Carlyle Group, Nasdaq Inc., and Summit Partners, Chronograph has grown rapidly since its inception in 2016. The Opportunity As a key member of our team, you will lead and deliver projects from concept to production; driving core technical direction while working closely with key stakeholders. Our engineering teams collaborate daily with product managers and designers to build exceptional software. An ideal candidate for this role will have both sharp technical skills and a keen product sensibility. You'll join a highly-driven team of engineers, contributing both as a technical leader and a hands-on full-stack developer. Our platform handles critical financial data, offering extensive workflow and data analysis tools along with an innovative data ingestion platform. This is an opportunity to make a real-world impact: you will tackle challenging technical problems and contribute to a platform relied upon by leaders in the private equity space. Even if you do not meet all criteria, we encourage you to apply! Chronograph offers an open and supportive environment where all are encouraged to grow and learn through their work. As a Tech Lead at Chronograph, you will: Own and lead technical projects from product ideation to successful execution, including: technical decisions, architectural designs, data structures, and development approach Collaborate with engineering, product, and design to architect high-performance and user-centric features to drive direct client impact among leaders in the private equity space Champion platform reliability and data integrity while maintaining development velocity, making thoughtful decisions that advance both technical quality and product outcomes Mentor and provide guidance to engineers across all levels, with opportunities to grow into direct people management, fostering a culture of continuous learning and developing future technical leaders Identify new technologies and best practices to promote a culture of continuous improvement You will be successful in this role if you have: At least 9 years of professional development experience, with a proven track record of leading complex technical projects Expertise in Typescript, Node, PostgreSQL and GraphQL, in particular schema and API design Fluency in frontend frameworks and patterns such as React and React Query Aptitude for navigating ambiguity and designing solutions that account for cross-system implications-spanning data models, validations, application logic and user workflows Excellent leadership and communication skills, with demonstrated ability to drive consensus across stakeholders and distill complex technical concepts for diverse audiences A track record of balancing technical solutions with business outcomes, making thoughtful tradeoffs that serve both immediate needs and long-term platform health Nice-to-haves: Background in building computation-heavy services where accuracy and performance are imperative Experience expanding complex data models to fit evolving application use cases Passionate about emerging tools that improve developer velocity, including AI-assisted coding Why Join Chronograph? We value creativity, open communication, and cutting edge technology - and we try to have fun along the way. We want you to be happy here for the long-term and will work with you to ensure you're achieving your career goals. We offer: Equity Participation Flexible work arrangements (including remote / in person / hybrid) 401(k) Unlimited and flexible vacation Company-wide team events at our Brooklyn, NY headquarters three times a year for all employees Fully-paid parental leave ...and more! Chronograph is committed to promoting a diverse and inclusive culture, and we welcome applicants from all backgrounds. If you're a team player who wants to have an outsized impact in a dynamic and diverse environment, we'd love to hear from you! Salary Range (dependent on experience) $185,000 - $245,000 USD #J-18808-Ljbffr
    $185k-245k yearly 4d 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. 2d ago
  • Research and Development Engineer I/II

    Cresilon, Inc. 4.1company rating

    Operations engineer job in New York, NY

    Cresilon is a Brooklyn-based biotechnology company that develops, manufactures, and markets hemostatic medical devices utilizing the company's proprietary hydrogel technology. The company's plant‑based technology has revolutionized the current standard by stopping traumatic and surgical bleeds in seconds without the need for extended manual pressure. The company's current and future product lines target veterinary, human trauma, and human surgical applications. Cresilon's mission is to save lives. Learn more about the company at ***************** Job Summary The R&D Engineer I/II is responsible for supporting product design and process development activities while ensuring compliance with all quality and regulatory requirements. The position has a scientific focus that includes implementation of formulation development through process development, prototype fabrication, and characterization, along with additional process evaluation and data generation through designed experiments. Process development in an R&D environment will be followed by qualification and technology transfer into manufacturing. Collaboration is a key aspect of this role, as the engineer will work within a multidisciplinary team of researchers and engineers. The position offers diverse opportunities in a collaborative cross‑functional environment, requiring adaptability, flexibility, and a willingness to learn and innovate in the exploration of new technologies, new approaches, and techniques in pursuit of product/process robustness and innovation. The R&D Engineer I/II is expected to possess expertise in areas including, but not restricted to, polymer, chemical, material science, and process development and engineering. Additionally, they will assist in generating documentation essential for regulatory submissions, ongoing publication initiatives, and direct communication with the Head of Research regarding various tasks. This is a full‑time, on‑site position, located in Brooklyn, New York. This role is an independent contributor role (i.e. no direct reports). Level is dependent on experience. Responsibilities Oversee the planning, implementation, and analysis of experiments relevant to project objectives. Ensure the application of established scientific and engineering principles to solve complex problems and challenges innovatively and efficiently, adhering to rigorous scientific methodologies and protocols. Create and execute product/process enhancement, and new product/process development plans. Lead material/design/process changes and their implementation with well‑documented research/analyses. Process and analyze results, Author protocols and reports including engineering studies and design verification/validation activities. Aid in the development and execution of testing methods to aid in exploratory research, product/process development, and quality control; conduct chemical and mechanical property evaluation tests to assess the desirability of process or formulation changes. Prepare samples as required for manufacturing, testing, or other evaluations and data analysis. Participate in voice‑of‑customer (VOC) labs and other user needs assessments. Interface with external vendors, customers, and suppliers. Specify equipment and process requirements for developing and implementing new products, product improvement and new equipment/processes. Support process and product transfers to manufacturing or CDMOs. Maintain a laboratory notebook and other technical documentation according to required GLP/GMP guidelines. Understand and prioritize process improvements, design experiments to make those improvements, and execute these plans in the laboratory. Maintain active dialogue with Regulatory Affairs as subject matter expert on all product design elements/documentation about research towards FDA/regulated authority submissions. Provide support to the marketing and sales team, with the development of presentations, sales tools, and application data. Work with company leadership to evaluate existing research practices and contribute to a culture of ethical, high‑quality research operations within the organization. Provide other project or product support as needed to support Cresilon's business objectives. Required Qualifications Education: BS in Chemical Engineering, Polymer Engineering, Material Science & Engineering, or related engineering discipline. Minimum 4+ years previous experience in an industrial environment with a BS degree. (2 years minimum experience if advanced degrees). Proficiency as an adept experimentalist with hands‑on experience in the product and process development of polymeric materials and their characterization in an R&D or manufacturing environment. Mathematically inclined with strong analytical and problem‑solving skills with the ability to be observant and to think creatively. Demonstrated ability to design experiments and analyze data with the use of appropriate quality and statistical methodologies. Demonstrated ability to work independently as well as be a strong team contributor. Ability to effectively work within a team and cross‑functionally to expedite the completion of critical project tasks. Requires understanding of product/process design and engineering. Experience should include process development/validation and/or transfer/verification, protocols, and troubleshooting skills. Ability to handle multiple project assignments of medium scope and complexity and able to prioritize and complete work with a sense of urgency on time. Ability to lead directly and by influence, including strong problem‑solving, conflict resolution, and analytical skills. Working knowledge of Good Documentation Practices (GDP) and Good Manufacturing Practices (cGMP) requirements. Proficiency in the use of Microsoft Office, Microsoft Excel, Microsoft Word, Microsoft PowerPoint is required. Require excellent written and verbal communication and presentation skills. Legal authorization to work in the United States is required. Physical Requirements include: Aseptic Gowning Qualification: Able to be successfully qualified for aseptic gowning, including successful respirator training. Wear Appropriate Personal Protective Equipment (PPE). Be able to stand and walk for prolonged periods, with the ability to climb, balance, stoop, bend, reach, and handle equipment. Ability to speak, listen, and understand verbal and written communication. Possesses hand‑eye coordination and manual dexterity for delicate manipulations. Ability to lift up to 50 pounds occasionally and to carry, push, pull, or otherwise move objects. Visual acuity is required for performing close and distant activities. Preferred Qualifications An advanced technical degree (MS or PhD). Lab experience in an industry setting within cGMP-regulated environments. Prior experience developing processes and scaling these up into manufacturing or CDMO. Mechanical/electrical knowledge with the ability to troubleshoot processing equipment. Six Sigma green belt or black belt certification preferred. Experience implementing process and quality improvements in a manufacturing environment. Work experience with the medical device or pharmaceutical industries. Working knowledge of ISO 9001, ISO 13485:2003 and ISO 14971:200. Working knowledge of FDA requirements as per 21 CFR 820. Equal Opportunity Employment Cresilon is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Cresilon makes hiring decisions based solely on qualifications, merit, and business needs at the time. Benefits Competitive annual base salary range of $70,000 - $120,000, depending upon job level and qualifications Paid Vacation, Sick, & Holidays Monthly MetroCard Reimbursement 401(k) & Roth Retirement Savings Plan with company match up to 5% Work/Life Employee Assistance Program Company Paid Life and Short-Term Disability Coverage Medical, Dental, and Vision Insurance, FSA: Dependent & Healthcare, Commuter & Parking Benefits, Long Term Disability Coverage #J-18808-Ljbffr
    $70k-120k yearly 4d ago
  • Audio AI Research Engineer

    David Ai

    Operations engineer job in New York, NY

    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
    $87k-123k yearly est. 2d ago

Learn more about operations engineer jobs

How much does an operations engineer earn in Plainfield, NJ?

The average operations engineer in Plainfield, 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 Plainfield, NJ

$86,000

What are the biggest employers of Operations Engineers in Plainfield, NJ?

The biggest employers of Operations Engineers in Plainfield, NJ are:
  1. Kean University
  2. Sept 2017 Branding
  3. Rutgers University
  4. Fiserv
  5. in-Training
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