Research engineer jobs in Spring Valley, New YorkCreate job alerts

mechanical engineeringtechnical document analysisproblem-solvingwritten and verbal communicationdata analysisattention to detailself-managementinterdisciplinary collaborationtechnical content creationdata quality assurancemicro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Mechanical Engineer Job Type: Contractor Location: Remote Rate: 20$-50$ per task Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Key Responsibilities: • Analyze technical documents and extract key information relevant to your domain expertise, • Generate, review, and refine questions and solutions based on real-world mechanical engineering scenarios, • Collaborate with multidisciplinary teams to ensure accuracy and depth of data and analysis, • Provide detailed written and verbal feedback on document clarity, technical accuracy, and effectiveness, • Apply advanced subject matter knowledge to evaluate and solve complex engineering problems, • Work independently, managing your time to deliver high-quality outputs with minimal supervision, • Contribute to the continuous improvement of data quality and project processes Required Skills and Qualifications: • 2-6 years of professional or academic experience in mechanical engineering or a closely related field (lab, workplace, or academia), • Strong reading comprehension skills, with proven ability to analyze and interpret technical documents, • Exceptional English communication skills, both written and verbal, • Demonstrated experience in creating or evaluating technical content, such as reports, studies, or problem sets, • Ability to work independently and efficiently, with excellent self-management, • High attention to detail and commitment to data accuracy, • Experience interfacing with technical documentation and performing analytical tasks Preferred Qualifications: • Advanced degree (Master’s or PhD) in Mechanical Engineering, Chemistry, Physics, or Biology, • Previous experience contributing to interdisciplinary or research-driven projects, • Familiarity with data-driven analysis or training data preparation

Job Description We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.) Our Mission: To actively connect people to their next great opportunity. Who We Are: ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android. Summary: At ZipRecruiter, we sit on a massive universe of data—over a billion archived job postings, tens of millions of dynamic job seekers, and billions of impressions, clicks, and application events. Connecting the right job seeker with the right employer in real time is a complex two-sided marketplace problem, where precision, scale, and latent intent prediction directly impact millions of lives. We are seeking a Staff Machine Learning Engineer / Data Scientist to serve as a technical anchor for our machine learning and AI capabilities. Reporting directly to the Director of Recommendation Systems, you will be a core partner in shaping our multi-year ML roadmap, driving foundational algorithmic architecture, and translating complex machine learning research into high-throughput, low-latency production systems. This is a high-visibility role with org-wide reach. Beyond delivering core algorithmic gains, you will mentor Machine Learning Engineers across the organization and establish best practices for how ML models are built, deployed, and evaluated at scale. Key Responsibilities & Strategic Impact • Drive ML Strategy & Roadmap: Partner directly with Engineering and Product Leadership to define and execute the technical vision for core components in the marketplace, including but not limited to recommendation engines and matching algorithms, ML entity representation platform., • Architect High-Scale Systems: Design and own state-of-the-art ML systems handling dynamic interaction prediction, candidate ranking, and candidate/job retrieval across high-throughput production environments., • Optimize Two-Sided Marketplace Dynamics: Solve high-complexity matching and recommendation challenges native to two-sided marketplaces, including real-time intent prediction, bilateral relevancy, candidate cold-start problems, and feedback loops between job seekers and employers., • Org-Wide Technical Leadership: Mentor and guide Machine Learning Engineers and Data Scientists across teams to instill a culture of technical excellence, rigorous experimentation, and fast production delivery., • Production Excellence: Drive end-to-end model ownership—from initial exploration and feature engineering through distributed training, offline/online evaluation (A/B testing), to real-time latency optimization.Minimum Qualifications, • 8+ years of professional experience developing and deploying machine learning models in large-scale production environments., • Proven track record of architecting and shipping end-to-end ML solutions that serve production traffic at scale., • Deep domain expertise in Recommendation Systems, Personalization, Ranking & Retrieval, or Interaction Prediction., • Strong software engineering fundamentals with hands-on expertise using modern deep learning frameworks (PyTorch, TensorFlow)., • Proven experience in technical leadership and mentorship, driving technical alignment across cross-functional engineering and product teams., • Strong background in statistical modeling, online experimentation (A/B testing methodology), and offline metric design.Preferred Qualifications, • Experience in Two-Sided Marketplaces: Familiarity with supply/demand liquidity, bilateral matching algorithms, dynamic pricing, or auction-based models., • Modern deep learning techniques for recommendations, such as Two-Tower Neural Networks, Graph Neural Networks (GNNs), Transformer-based retrieval models, or Contextual Bandits., • Advanced degree (MS/PhD) in Computer Science, Machine Learning or a related quantitative field or equivalent experience., • Experience with modern MLOps architectures and distributed training frameworks. As part of our team you'll enjoy: • Competitive compensation, • Exceptional benefits package, • Flexible Vacation & Paid Time Off, • Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is $205,000.00-$265,000.00 USD. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations. Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits. ZipRecruiter is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics. Privacy Notice: For information about ZipRecruiter's collection and processing of job applicant personal data for this job, please see our Privacy Notice at: https://www.ziprecruiter.com/careers/job-applicant-privacy-notice

Job DescriptionKDF Technologies is a leading manufacturer of PVD (physical vapor deposition) capital equipment to the microelectronics, medical, thin film circuits, and semiconductor markets. Located in Northern NJ we serve a variety of industries and companies from startups to Fortune 500 organizations. If this sounds exciting to you, apply to be an Application Engineer to be part of something special! Summary: Your role will be to strategically identify and develop critical thin film processes and new applications to strengthen KDF leading position as a PVD Experts and solution provider. You will lead our Research and Development efforts in thin film deposition, develop white papers and present your results at conferences such as SVC, MRS and AVS. How you will make a difference: • Designing and conducting complex experiments to develop innovative processes, • Developing white papers on key technologies & processes, • Presenting at conferences such as the SVC, MRS & AVS, • Developing and driving the implementation of new practices or methodologies to improve deposition recipe efficiency and target material usage, • Resolving product support and customer process problems as necessary, • Interact and work effectively with customers and KDF personnel to solve PVD (physical vapor deposition) process issues, • Support customers during Sources Inspection and Factory Acceptance tests, • Use characterization equipment to understand film uniformity and performance and collaborate with Test & Engineering groups to drive process and tool design improvements, • Utilize and maintain in house demo tools and metrology equipment’s, • Keep detailed notes on experiments and tests and save the test results digitally, • Follow company policies and procedures, • Other duties as assigned, • Motivated and self-directed (90% of time)Qualifications:, • At least B.S. degree in Material Science or Engineering, PhD would be a plus, • At least 2 years of experience, • Working knowledge of Vacuum Technology and Physical Vapor Deposition (PVD) techniques like sputtering, • Working knowledge of in-house thin film metrology tools (profilometer, ellipsometer, reflectometer, RGA, etc.), • Proficient in running experiments, analyzing data and generating test reports, • Strong problem solving, communication, interpersonal and project management skills, • Ability to work in an organized and efficient manner, • Ability to work safely around high voltage equipment, • English Language skills, • Proficient with MS Office suite, • Ability to travel domestically and internationally, • Ability to bend, stoop, squat, twist and lift up to and including 30 lbs. unassisted. Assistance must be used for any items over this weight. Assistance is always required for anything weighing over 60 lbsBenefits we offer to enhance your lifestyle:, • Company-paid medical and dental insurance, • 401k plan, • Paid vacations, • Sick time, • Salary is dependent based on experience.KDF Technologies, LLC is a limited liability company. KDF Technologies, LLC is an Equal Opportunity Employer. Our salary ranges are determined by role, level, and location. Within this range, individual pay is influenced by various factors, including job-related skills, experience, qualifications, work location, etc. The compensation range for this role is $70,000 to $130,000 per year. #LI-Onsite Powered by JazzHR 2TBlUhgjK9

Applied Research Engineer I contributes to the development of new to Watts/AERCO, new to industry, and new to world innovations and technologies. Leads assigned research projects and development of emerging technology with limited supervision from engineering management. Works with Engineering Lab t

Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Seramount, Fair360 and others. If you're as passionate about your future as we are, join our team.KPMG is currently seeking an Associate Director, Cyber Architecture & Engineering to join our Enterprise Security Services organization.Responsibilities:Apply advanced knowledge of IT security and architecture to participate in the implementation of and lead the day-to-day operational responsibilities of a comprehensive information security strategy that aligns with the firm's goals and objectives, and effectively addresses the evolving threats to the firm's environment and dataServe as an internal senior trusted advisor providing security consulting services across multiple technical domains to project teams and senior leaders; provide advice on security, explain security risk trade-offs, and solve complex problems through identification of compensating control alternatives while enabling the businessDesign secure applications, platforms, and security controls across on-premises and multi-cloud environments (Azure, AWS, GCP), including AI-enabled and agentic AI solutions; partner with technology teams to align security standards, enable innovation, and drive consistent architecture practicesDevelop and maintain effective working relationships with multiple public and private cloud vendors to advocate for product enhancements to meet the firm's needs and inform internal stakeholders of forthcoming features of interest; research and develop information security controls, security configuration baselines, and security design patterns that support risk assessments and support the development of secure (or cloud-based) architectures and/or application developmentStay abreast with emerging trends and technologies in information security, and continuously evaluate and improve the organization's security posture through evaluation of the latest information security regulatory requirements, AI-related technologies, agentic architectures, controls, practices, techniques, and threats; facilitate internal skills development activities for information security personnel on new technologies, controls, practices, techniques, and threatsProvide security guidance on emerging technologies, including AI-enabled applications, agentic AI, and autonomous workflows, ensuring security is integrated by design; lead stakeholder engagement, develop executive presentations, and mentor junior team members while supporting team planning and resource managementAct with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environmentQualifications:Minimum eight years of recent experience in security architecture, preferably within a professional services firm or similar environment; deep technical expertise across multiple technical domains, including application development, cloud computing, security, identity and access management, IT infrastructure, and emerging technologies such as AI-enabled platforms, agentic AI workflows, autonomous agents, and AI-integrated development and automation solutionsBachelor's degree from an accredited college or university is preferred; minimum of a high school diploma or GED is required with minimum ten years of equivalent professional experience; certifications requirements: CISSP and either CCSP or CCSK, or equivalent industry experience; other certifications of importance: AZ-500 – Microsoft Azure Security Technologies, Google Professional Cloud Security Engineer, AWS Certified Security - Specialty MCSE: Cloud Platform and Infrastructure, AWS Certified Solutions ArchitectExperience in both designing and securing solutions in a complex and regulated enterprise environment to offer solutions in an “as-a-service” model, including SaaS, AI-enabled, and agentic delivery modelsDemonstrated ability to not only define security requirements but help teams implement them through collaborative architecture and engineering ensuring that security is integrated into all aspects of the solution design and implementation process, including AI-assisted and agentic workflows; demonstrated ability to design creative alternatives to work around gaps in vendor offerings to meet technical and security requirementsDeep understanding of cloud computing architecture, technical design, and implementations, including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as Service (SaaS), containerized delivery models, and AI-enabled service delivery patterns across multiple different cloud vendors; experience and implementation of modern solution delivery methodologies including Agile and DevSecOps and incorporating security into the overall system development lifecycleProven ability to define, document, and peer review technical security standards such as: cloud security best practices, operating systems security best practices, application security best practices, wireless network security best practices, and more; experience with security related regulatory requirements, such as NIST, PCI, ISO 27001, HIPAA complianceExcellent verbal/written communication, collaboration, analytical and presentation skills to effectively interact with individuals at all levels of responsibility and take lead in an environment driven by customer service and teamwork; must be able to set goals and participate in strategic initiatives for a team; strong trouble-shooting and organizational skills and ability to work on multiple projects simultaneouslyApplicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)KPMG LLP and its subsidiaries (“KPMG”) complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work.Follow this link to obtain salary ranges by city outside of CA: California Salary Range: $153000 - $297000 KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them.Los Angeles County applicants: Material job duties for this position are listed above. 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 safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Applied Research Engineer I contributes to the development of new to Watts/AERCO, new to industry, and new to world innovations and technologies. Leads assigned research projects and development of emerging technology with limited supervision from engineering management. Works with Engineering Lab t

Applied Research Engineer I to lead research projects advancing new technologies for water products.

It is important to note that during your application process, reputable market research companies will determine your demographics and consumer profile to establish what products would be suitable for you to test. Market research companies that partner with us will use questionnaires to identify and

Write clean, efficient, and well-documented code, following best software engineering practices. Background in mentoring or leading small engineering teams. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more.

Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more.

Salary: $65,000 - 85,000 per year.We are seeking a junior software developer with professional or project-based software development experience.We need someone with strong problem-solving and debugging abilities.We require experience working with databases and SQL.We prefer familiarity with web appl

Join our growing team as a Netflix Data Analyst to perform daily responsibilities with dedication.Provide excellent interactions with customers and colleagues.Provide excellent interactions with customers and colleagues.Perks include competitive pay, flexible schedules, hands-on training, a collabor

Coordinates research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data. Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge

Good knowledge of, and skill in applying, applicable clinical research regulatory requirements.

Good knowledge of, and skill in applying, applicable clinical research regulatory requirements. IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries.

Process Engineer Job Duties: Oversees and assesses existing processes and workflows.

Bachelor's degree in Business, Engineering, Project Management, Operations, or a related field. Minimum of 5 years of project management experience in a manufacturing, industrial, engineering, construction, infrastructure, or technology-related environment.

Research Assistant Job Duties: Generates hypotheses and designs and performs experiments to test them. Contributes to the preparation of articles on research outcomes and progress and to the submission

Facilitate project meetings with owners, architects, engineers, contractors, and governmental agencies. Bachelor's degree in Construction Management, Engineering, Architecture, or a related field.

Bachelor's degree in Construction Management, Engineering, Architecture, or a related field preferred.

Coordinates research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data. Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge

The Assistant Project Manager will:.Manage and develop assigned staff toward maximum job performance.Build and maintain rapport with architects, subcontractors, and vendors.Understand and administer contract and subcontract agreements.Establish, communicate, and implement the Project Schedule.Manage

Bachelor's Degree in Construction Management, Engineering, Architecture, or related field preferred but not required.

Staff Software Engineer Remote Job Duties: • Implement and evolve a Data Lake storage system with low latency and high throughput for bulk data ingestion and query • Implement metadata, data governance, security, and acce

We are proud to be an Engineering News-Record (ENR) Top 500 Design Firm for our engineering design services and a ClearlyRated Best of Staffing® winner for both client and talent service. Senior Manager, Capital Programs & Site ReadinessLead Major Capital Projects That Drive Manufacturing Growth We

Coordinate engineering, programming, installation, startup, and commissioning activities.

Routine technical tasks include engineering calculations (including pressure and open channel flow hydraulics); spatial analysis of utility layouts and trench conditions; equipment sizing and selection for active and passive controls; preparation of engineering drawings such as civil site plans, uti