Machine learning engineer jobs in Passaic, New JerseyCreate job alerts

Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains. Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. Role

Business Area: Sales Engineering Seniority Level: Mid-Senior level Job Description: At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises. At Cloudera, our goal is to make everyone feel valued for their contributions to the company's mission. We are looking for smart people who want to do remarkable things. We strive to build an environment of casual intensity where people enjoy coming to work every single day. We are currently seeking a customer-facing, hands-on technologist with a track record of success to join us. As a Senior Solutions Engineer you will: Own the technical sales process from introductory meetings (net new sales) through post-sales (customer satisfaction, upselling, and subscription renewals) Supporting the technical needs of customers including discovering new use cases for Cloudera's technology Designing solutions for your customers' needs using Cloudera technologies, based on reference architectures and common patterns Demonstrating Cloudera products in a way that inspires your customers to say "yes" to Cloudera Partnering with your Account Managers to show your customers the true value of a Cloudera solution and drive successful sales Presenting product roadmap and vision to inspire your customers to think bigger Interfacing with other Cloudera teams to ensure your customers hear one Cloudera voice Advocating for your customers' needs to Product Management and Engineering Participating in external publicity and evangelism (conferences, meetups, webinars, blogs) Achievements are aligned to a team goal with annual sales targets, as well as to your participation in knowledge exchange with peers and the wider community. We're excited about you if you have: A passion for using technology to make a difference to people and organizations. We'll supply some amazing tools to help you with this and you'll provide the connection to use cases, which make it real for your customers Bachelor's degree in related field of study or equivalent work experience. A minimum of 8 years experience in a customer-facing role, ideally in a pre-sales context The ability to create and give technical presentations and demonstrations Experience with some of the following technologies: Big Data, Data Warehousing or Relational Databases One or more of the three major cloud service providers (AWS, Azure or GCP). Formal certification is not required, but would be a great thing to have Data Engineering, Data Science or Machine Learning Operations, Security and Data Governance within the enterprise Unix or Linux Experience gathering and understanding customer business requirements Excellent written and verbal communication Problem solving skills A willingness to learn, a curiosity to discover and a drive to make your customers successful The expected base salary range for this role in New York base salary $171,000 - $210,000 Please note that the compensation details listed in our job postings reflect the base salary only, and do not include commissions or bonus as applicable The salary will vary depending on your job-related skills, experience and location This role is not eligible for immigration sponsorship (Note: Base Salary Ranges will be calculated from a % of OTE, based on split) What you can expect from us: Generous PTO Policy Support work life balance with _ Flexible WFH Policy Mental & Physical Wellness programs Phone and Internet Reimbursement program Access to Continued Career Development Comprehensive Benefits and Competitive Packages _ Employee Resource Groups EEO/VEVRAA #LI-MH2 #LI-Remote

About Mercor projects** Experts in our network contribute to: - Training and evaluating AI models in Machine Learning Engineering - Creating tasks and deliverables based on real-world scenarios - Providing domain-specific feedback to advance frontier AI research Projects vary in scope and duration,

We are seeking a seasoned Big Data & ML Engineer with a strong background partnering with Data Science teams. Big Data Engineering or ML Engineering.

Big Data Engineering or ML Engineering. Previous experience working as an ML Engineer, including model deployment, monitoring, and feature engineering. We are seeking a seasoned Big Data & ML Engineer with a strong background partnering with Data Science teams.

Job Description Sourgum is transforming the $100B+ waste and recycling industry through cutting-edge technology that makes waste removal simpler, smarter, and more cost-effective. Our innovative haulsourcing platform powers high-quality waste and recycling services for businesses at significantly lower costs—saving our customers an average of 20%. Leveraging proprietary datasets, an advanced operating system, and a carefully curated network of 5,000+ trusted vendors, we help companies of all shapes and sizes streamline their operations while advancing sustainability efforts. We’re a fast-growing, venture-backed company (just closed our Series A!) on a mission to modernize an outdated industry — and we’re just getting started. Our investors include Spark Capital, Founder Collective, Suffolk Technologies, 186 Ventures, and River Park Ventures, the same funds that backed category-defining companies like Slack, Anthropic, Uber, Venmo, and Amazon Pharmacy. If you’re driven by the opportunity to build something groundbreaking, we’d love to meet you. As an experienced engineer, you will help build our core SaaS platform by working with a small but rapidly growing team to develop, maintain, and deliver this innovative platform. Guided by the roadmap, you will ensure on-time, on-budget software delivery and help grow and mentor our team. Your experience will include recent experience architecting solutions using Typescript/Node or Go microservices. Key Responsibilities The delivery of architecture, design, and implementation of cloud SaaS solutions based on business requirements Development and maintenance of the software platform. Align the results with the requirements of the appropriate stakeholders As a Senior Software Engineer, you will play a crucial role in our team, working closely with the head of engineering and product managers, business unit leaders, and stakeholders. Your responsibilities will include managing engineering, determining team resourcing, and demonstrating your leadership skills and ability to work collaboratively. As a Senior Software Engineer, you will be a key stakeholder in our product engineering. Your contribution will be instrumental in the success of our software solutions, as you will translate business requirements into technical specifications for our engineering team to design and implement. Requirements Technical Skills 9+ years of hands-on in professional software development 9+ years of experience working with relational databases (MySQL, PostgreSQL, Aurora, etc.) Strong understanding of data structures, indexing, and searching required Ability to integrate with Elasticsearch and run queries/reports 3+ years of experience building microservices 3+ years’ experience working with AWS-based services including S3, SQS, SNS, DynamoDB, Lambda, Redshift Experience with Kafka and other technologies Can apply principles of Test-Driven Development Experience with writing test cases Able to write build scripts Experience with Kubernetes and Terraform Experience with version control systems, CI/CD pipeline tools, workflow tools, Jenkins, etc. Experience integrating applications with Redis/Memcached a plus Nice to Have Skills Experience with Flutter Development of mobile and tablet devices AI/Machine Learning experience a plus Experience with Big Query and Metabase Experience developing Vertical SaaS ERP Software Personal Skills A passion for building software and streamlining process issues Demonstrate tenacity when solving challenging problems in a deadline-driven environment Experience with Scrum/Agile Methodologies Ability to lead a team, as well as a roll-up-the-sleeves mentality to work well as part of a team Able to be self-motivated and work independently as needed to solve complex problems Taking pride in work and desire to make projects succeed Benefits Company stock options as part of your compensation package, giving you the opportunity to share in our company's success and build long-term financial growth. A positive and collaborative work environment with a focus on innovation and sustainability. Flexible/Unlimited PTO Comprehensive benefits package including health insurance (medical, dental, vision, LTD, Life Insurance, etc.), retirement plans (401K). Access to hundreds of gyms, studios, and wellness apps—all through one easy membership provided by your Wellhub. Yearly Personal Development Budget Opportunities for professional development and career advancement within a growing company. Compensation Range: $170K - $210K

Job DescriptionCompany Description On-Site 1yr contract $10950/month About the Role We are seeking a Senior Generative AI Engineer to design, build, and deploy production-grade AI applications powered by large language models (LLMs). In this role, you will lead the end-to-end development of Generative AI solutions, including LLM-powered applications, retrieval-augmented generation (RAG) systems, agentic workflows, model evaluation pipelines, and production infrastructure. You will work cross-functionally with product, finance, data, and business stakeholders to translate real-world business problems into scalable AI systems that deliver measurable value. Job Description • Design and develop algorithms for generative models using deep learning techniques, • Design and build LLM-powered applications for internal and/or customer-facing use cases, • Develop and productionize RAG pipelines using enterprise data sources, vector databases, and retrieval systems, • Build and optimize AI agents / agentic workflows for task automation, reasoning, and orchestration, • Integrate model providers such as OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, and open-source models where appropriate, • Create robust evaluation frameworks for response quality, factuality, latency, safety, and reliability, • Implement prompt engineering, structured outputs, tool calling, and model optimization strategies, • Deploy scalable AI services to cloud environments using modern software engineering and MLOps practices, • Build monitoring, observability, and feedback loops for model and application performance in production, • Establish and maintain guardrails, responsible AI practices, and security controls for enterprise AI systems, • Collaborate with product managers, designers, and business stakeholders to identify high-impact AI opportunities, • Mentor other engineers and contribute to architecture, technical direction, and engineering best practices Qualifications • Bachelor’s degree in Computer Science, Engineering, Machine Learning, or a related field, • 5+ years of software engineering, machine/deep learning engineering, or applied AI experience, • 2+ years of hands-on experience building and deploying Generative AI / LLM-based systems in production, • Strong programming skills in Python and experience with backend/API development, • Experience with LLM application development, including prompt engineering, RAG, tool use, and structured output design, • Experience in optimizing RAG pipelines using both structured and unstructured data, • Experience with orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or equivalent, • Experience in generative AI techniques such as GANs, and VAEs, • Hands-on experience with vector databases / retrieval systems such as Pinecone, Weaviate, Chroma, FAISS, Elasticsearch, or Azure AI Search, • Experience with cloud platforms such as AWS, GCP, or Azure, • Experience with Docker, Kubernetes, CI/CD, and production deployment practices, • Strong understanding of software architecture, scalability, reliability, and distributed systems, • Experience building evaluation, testing, and monitoring for AI systems, • Strong communication skills and ability to work closely with technical and non-technical stakeholder Preferred Qualifications • Experience fine-tuning or adapting open-source LLMs, • Advanced knowledge of natural language processing for text generation tasks, • Experience with PyTorch, TensorFlow, JAX, or related ML frameworks, • Experience with MLOps tools such as MLflow, SageMaker, Vertex AI, Azure ML, Kubeflow, or similar, • Experience building multi-agent systems or advanced orchestration workflows, • Experience with AI safety, guardrails, red-teaming, privacy, and governance, • Familiarity with search, ranking, recommendation, conversational AI, or enterprise knowledge systems, • Experience in customer-facing or enterprise SaaS products, • Experience in semiconductor/manufacturing, retail and e-commerce sectors Additional Information All your information will be kept confidential according to EEO guidelines.

Job DescriptionSalary: Competitive salary range: Based on experience and market value Role: AI/ML (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,(www.adidevtechnologies.com) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence:Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. What Youll Bring Experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Software engineering and/or Data Engineering background, especially in one of the major clouds. Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks Experience putting ML/AI into production, and ability to talk through best practices and pitfalls. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

Job DescriptionSenior Systems Engineer /Core Infrastructure, VMware *US Citizens or GC Holders *On-site daily in Jersey City, NJ Position Overview We are seeking a highly skilled and experienced Senior Systems Engineer to join our IT Infrastructure team. This role focuses on the design, implementation, management, and optimization of core infrastructure systems with a specialization in VMware and related technologies. The Senior Systems Engineer will play a key role in ensuring the stability, scalability, and security of the organization’s IT infrastructure. Key Responsibilities • Core Infrastructure Management, • Design, deploy, and manage enterprise infrastructure, including servers, storage, and networking components., • Monitor system performance, troubleshoot issues, and implement improvements to ensure high availability and reliability., • Lead infrastructure-related projects, including upgrades, migrations, and system integrations., • VMware Administration, • Architect, implement, and maintain VMware vSphere environments, including ESXi hosts and vCenter servers., • Optimize virtual infrastructure for performance, scalability, and cost-effectiveness., • Manage virtual machine provisioning, snapshots, and backups., • Configuration Management, • Develop and maintain scripts (PowerShell, PowerCLI, Python, etc.) for system automation and process improvements., • Automate repetitive tasks, enhance monitoring capabilities, and ensure system configurations adhere to best practices., • Implement and maintain security measures to protect core infrastructure systems., • Ensure compliance with organizational policies, industry standards, and regulatory requirements., • Collaboration and Leadership, • Work closely with cross-functional teams, including network engineers, database administrators, and application developers., • Mentor junior team members and provide technical leadership., • Document system configurations, processes, and workflows to ensure knowledge transfer. Skills and Technologies Core Systems and Infrastructure: • Windows Servers: Configuration, management, and performance tuning, • Active Directory (AD): Management of users, groups, and roles, • Group Policy (GPO): Administration and customization, • DNS and DHCP: Configuration and troubleshooting, • Public Key Infrastructure (PKI): Implementation and management, • Virtualization: VMware vSphere, ESXi, and vCenter VMware and Virtualization: • VMware vSphere, ESXi, and vCenter, • Backup and replication tools: Veeam, Rubrik, Zerto, CommVault, • High-availability design, clustering, and disaster recovery (D.R.) solutions, • Multi-site failover and business continuity planning (BCP) Storage Solutions: • SAN, NAS, and Storage Spaces Direct, • Familiarity with NetApp, Dell EMC, and HPE storage solutions, • Data retention, deduplication, and archiving strategies Monitoring and Performance: • Tools: SolarWinds, SCOM, PRTG, • Synthetic transactions and real-time alerting, • Performance tuning for Windows servers and virtual environments, • Root cause analysis for recurring performance issues Qualifications • Education: Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience)., • Experience: Minimum of 7 years of experience in IT infrastructure engineering, with at least 5 years focused on VMware technologies., • Certifications:, • VMware certifications (e.g., VCP, VCAP, or VCDX) are strongly preferred., • Additional certifications such as Microsoft, Cisco, or cloud platform certifications (Azure/AWS) are a plus. Soft Skills • Excellent problem-solving and analytical abilities., • Strong communication skills, both written and verbal., • Ability to work independently and collaboratively in a fast-paced environment., • Commitment to continuous learning and professional development.

Job Description Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world. We are seeking an experienced Data Engineer to join our data team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines, data integration processes, and data infrastructure on AWS cloud. You will collaborate closely with data scientists, analysts, and AI teams to support analytics, machine learning, and Generative AI initiatives across the organization. Requirements Key Responsibilities • Design, develop, and deploy end-to-end data pipelines on AWS cloud infrastructure using services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc., • Implement data processing and transformation workflows using Databricks, Apache Spark, and SQL to support analytics, reporting, and AI-driven use cases., • Build and maintain orchestration workflows using Apache Airflow to automate data pipeline execution, scheduling, and monitoring., • Support data preparation and ingestion for AI/ML and Generative AI workloads, including handling structured and unstructured datasets., • Enable data pipelines that support LLM-based applications, vector embeddings, and knowledge retrieval systems., • Lead the migration of legacy data systems to modern cloud-based data architectures., • Develop and maintain CI/CD pipelines for data workflows and platform automation., • Collaborate with data scientists, ML engineers, and AI teams to ensure data availability for model training, inference, and GenAI applications., • Optimize data pipelines for performance, reliability, scalability, and cost-effectiveness using AWS best practices. Required Skills • 8+ years experience as a Data Engineer working with AWS cloud services., • Hands-on experience with AWS services such as S3, Glue, Lambda, Redshift, and related data platform tools., • Experience building data pipelines using Databricks, Apache Spark, and SQL., • Experience with Apache Airflow for workflow orchestration., • Strong understanding of data modeling, data lake/lakehouse architectures, and ETL/ELT frameworks., • Experience with CI/CD pipelines and version control systems (Git)., • Exposure to Generative AI or LLM-based applications., • Experience supporting data pipelines for AI/ML workloads., • Familiarity with vector databases, embeddings, and Retrieval-Augmented Generation (RAG) architectures., • Experience working with LLM APIs or AI frameworks such as LangChain., • Understanding of MLOps workflows and model deployment pipelines. Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Job Description Tiger Analytics is seeking a highly skilled Senior AI Engineer to join our dynamic team. In this role, you will design, develop, and implement cutting-edge AI solutions that drive business value for our clients. You will leverage advanced machine learning techniques, frameworks, and large datasets to create innovative products and solutions. As a Senior AI Engineer, you will work closely with cross-functional teams to identify project requirements, define success metrics, and maintain high-quality standards. Your expertise in AI will play a critical role in shaping our product offerings and ensuring the successful deployment of AI models in production. The successful candidate will have a solid background in artificial intelligence, experience with various ML frameworks, and a passion for solving complex business problems. Requirements Key Responsibilities: • Design and implement AI algorithms and models to solve real-world problems., • Collaborate with data scientists, data engineers, and business analysts to understand project requirements and propose relevant AI solutions., • Monitor and analyze the performance of AI models in production and iterate on them to improve outcomes., • Develop technical documentation as well as customer-facing documentation and presentations., • Stay updated with the latest research and trends in AI and propose innovative ideas to improve our offerings. Qualifications: • Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field., • 5+ years of experience in AI/ML development with demonstrated success in deploying machine learning models to production., • Proficiency in programming languages such as Python and familiarity with libraries such as TensorFlow, PyTorch, and Scikit-learn., • Experience with cloud-based AI services such as AWS, Google Cloud, or Azure., • Strong analytical and problem-solving skills, with a proven ability to interpret business requirements into technical solutions., • Excellent communication skills and ability to convey complex technical concepts to non-technical stakeholders. Preferred Skills: • Experience with natural language processing (NLP) or computer vision applications., • Knowledge of MLOps principles and tools., • Familiarity with version control systems (e.g., Git) and Agile methodologies. Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. #LI-remote

Job Description The Junior Mechanical Engineer will assist with equipment evaluation, process improvements, troubleshooting, and prototyping, while learning to take on increasing responsibility over time. This is a hands-on role that works closely with operations, maintenance, and production teams. Key Responsibilities:  Assist in evaluating and improving existing production equipment  Support the specification and implementation of new machines for manufacturing operations  Help select and maintain tooling for machining and production processes  Assist in optimizing machine parameters (cutting speeds, feed rates, cycle times, etc.)  Support efforts to improve production flow and line efficiency  Work with the Mechanical Engineer to troubleshoot equipment and process issues  Help train machine operators on proper machine use and best practices  Assist in prototyping and testing using tools such as 3D printers, lathes, and milling machines  Document processes, improvements, and standard work instructions Required Qualifications  Bachelor’s degree in Mechanical Engineering or related field (or in progress)  0–2 years of experience in a manufacturing or production environment (internships/co- ops acceptable)  Basic familiarity with industrial machinery (CNC routers, mills, saws, etc.)  Fundamental understanding of machining principles, tooling, feeds, and speeds  Strong willingness to learn and develop hands-on technical skills Company DescriptionRecruiting CompanyRecruiting Company

Job Description Electrical, Controls Engineer - Industrial Electro-Mechanical Machinery Industry Focus: Industrial Machinery I Electromechanical Equipment I Custom Automation Systems Robotics I Industrial Controls I Food and Beverage Manufacturing I Packaging Equipment I Water and Wastewater Treatment I Process Equipment I OEM Machine Building We are currently seeking to identify (2) Electrical Controls Engineers to join a well-established and growing industrial equipment manufacturer with over 50 years of engineering excellence. One opportunity is ideal for a junior to mid-level candidate with at least 2+ years of relevant experience, and the other is targeted for a senior-level engineer with more years of hands-on experience in electrical design, programming, controls, and industrial automation. This is your chance to join a team that builds large-scale electromechanical systems from concept through completion. From food production lines to custom process and water treatment equipment, you'll be working on machinery that makes a real-world impact. Responsibilities: · Design, develop, and program industrial electrical control systems to meet engineering and client requirements · Create electrical schematics, wiring diagrams, and panel layouts using AutoCAD Electrical or similar design software · Specify, select, and configure control system components such as PLCs, VFDs, relays, sensors, and breakers · Program PLCs and HMIs (Allen-Bradley, Siemens, or similar platforms preferred) · Layout and design control panels and motor control centers (MCCs) · Perform validation testing and troubleshoot electrical systems during build and final assembly · Collaborate closely with mechanical engineers, software engineers, and production teams to ensure full integration · Provide technical documentation including BOMs, manuals, wiring lists, and startup procedures · Travel as needed for commissioning and system validation (minimal and planned in advance) · Stay current with evolving industry technology, best practices, and safety standards Qualifications: We are hiring for two experience levels. Candidates must meet the criteria for one of the following profiles: Junior to Mid-Level Role: · Minimum 2 years of experience in electrical controls, panel design, or related engineering environment · Experience with AutoCAD Electrical or similar drafting tools · Working knowledge of industrial components and safety regulations · Basic PLC programming knowledge or exposure to automation software · Strong interest in hands-on engineering, testing, and troubleshooting · Bachelor's degree in Electrical Engineering or equivalent hands-on experience Senior-Level Role: · Experience in electrical controls and industrial automation · Proficiency in AutoCAD Electrical and strong PLC/HMI programming experience · Deep understanding of UL, NEC, NFPA 70E, and electrical safety standards · Demonstrated success leading projects or contributing to complex custom machinery builds · Ability to mentor junior team members and drive design improvements · Background in electromechanical system design and manufacturing support What Makes This Opportunity Unique: · Privately owned and financially strong company with over 50 years of proven success · All engineering and manufacturing is done in-house at our US-based facilities · Recession-resistant with projects in food processing, water treatment, packaging, and more · Work directly on high-impact custom systems from design to completion · Short lead times and an integrated design-build process · Access to a seasoned engineering team for mentorship and collaboration · Competitive salary structure with performance bonuses · Opportunities for growth into technical leadership or project management · Continued access to learning and development in electrical, automation, and mechanical engineering · Team-focused culture that values practical problem-solving, quality, and innovation Traits That Set You Up for Success: · Detail-oriented and self-driven with a strong sense of accountability · Hands-on mindset and curiosity to understand how systems work · Enjoy working on one-off and custom systems that challenge your engineering creativity · Collaborative and open communicator, ready to share and receive feedback · Willing to dive into troubleshooting and help bring machines across the finish line · Honest, reliable, and committed to continuous improvement Take the Next Step in Your Career: If you are passionate about industrial electrical systems and automation, whether you are building your skills or bringing a wealth of experience, we want to hear from you. These roles offer the chance to work on meaningful projects with a stable, growing company where your contributions matter every day. Apply now to explore how you can be a part of building the next generation of industrial automation and electromechanical systems. Equal Opportunity Commitment: We and our client are equal opportunity employers and welcome all qualified applicants regardless of race, religion, gender, age, disability, veteran status, or any other protected classification.

Use predictive analytics to inform PFMEA analyses that will result in actionable process controls, ensuring proactive prevention of variation rather than reactive correction.

Serve as the bridge between industrial engineering, factory engineering teams, quality, and IT on AI/ML initiatives. 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 ma

DTCC offers competitive compensation, health benefits, and a flexible work model of 3 days onsite and 2 days remote. The Depository Trust & Clearing Corporation (DTCC) in Jersey City, NJ, seeks a Principal Data Scientist / Machine Learning Engineer to drive data engineering and machine learning proj

Big Data Engineering or ML Engineering. We are seeking a seasoned Big Data & ML Engineer with a strong background partnering with Data Science teams.

We’re hiring a mid-to-senior Machine Learning Engineer / Data Scientist to build and deploy machine learning solutions that drive measurable business impact. You should be strong in core data science and applied machine learning, comfortable working with real-world data, and capable of turning mod

Job Title: Senior Software Engineer - Machine Learning & Geospatial. We’re looking for a Senior Software Engineer to help evolve our Machine Learning capabilities, with a particular focus on closing feature gaps and behavioral differences relative to widely used ML frameworks (e. Design and implem

We are looking for a Senior Desktop Software Engineer, Machine Learning to work on an innovative project that redefines software. Understanding of machine learning pipelines and processes, with an interest in optimizing ML workflows on desktop systems. The chance to challenge yourself while learning

Artificial Intelligence (AI) / Machine Learning (ML). Benefit from clear career paths, internal mobility, a dedicated learning program, and mentorship opportunities. Computer Engineering, or a closely related field.

Experienced at hands-on Machine Learning / Data Science work in the Python stack (notebooks, etc. Authoring a paper at major Machine Learning conference. Good with data & engineering innovation in practice - you know how to put things together so that they don't blow up.

Figma is seeking a versatile and experienced Machine Learning / AI Engineer to join our growing AI team, working at the intersection of applied machine learning, infrastructure, and product innovation. Work with product engineers to define and deliver impactful AI features across Figma’s platform.

We are hiring a Machine Learning Engineer Intern for a paid 12-week summer internship from May through July 2026. Experience with machine learning experimentation, evaluation, and debugging preferred. This role sits at the intersection of ML research, software engineering, and MLOps.

We’re seeking an experienced Machine Learning Operations (MLOps) Engineer to join our team and build the infrastructure that powers AI and machine learning at K1X. This is a hands-on role focused on designing scalable systems, pipelines, and tooling that enable our Machine Learning Engineers

We are looking for a Machine Learning Engineer to help us train Claude specifically for virtual collaborator workflows. Have strong machine learning experience. Can context-switch between research problems and product engineering tasks.

We are collaborating closely with a team of machine learning engineers and backend architects to develop the next generation of search infrastructure at Reddit, enabling a variety of search functionalities, including lexical and vector search. As a Senior Staff Software Engineer on the Search Platfo

As a Machine Learning Developer Relations Engineer at Voxel51, you'll work directly with the open source FiftyOne community answering technical questions, coding integrations with complementary models and datasets, creating engaging content, plus helping organize and speak at events (in-person and v

Otto Aviation is seeking a dynamic and technically proficient Machine Learning Engineer with software developer experience to join its AI Design and Innovation Lab. Apply state-of-the-art machine learning techniques, including large language models (LLMs), generative AI, focusing on performan

Hayward Hawk are delighted to be recruiting for a Machine Learning Engineer for their client based in Manhattan. This role is centred on developing and deploying advanced machine learning models, with a strong emphasis on time series forecasting and anomaly detection. A minimum of 5 years of experie

Staff Machine Learning Research Engineer, Agent Post-training - Enterprise GenAI. 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.

Machine Learning Research Scientist / Engineer, Reasoning. We’re looking for a researcher/engineer who can turn research ideas into working prototypes and solve complex ML challenges in LLM capabilities and reasoning.

Hands‑on experience fine‑tuning machine learning models, including supervised fine‑tuning (SFT) and reinforcement learning from human feedback (RLHF or RFT). As an Applied Machine Learning Engineer, you will serve as a vital bridge between cutting‑edge AI research and practical, real‑world

Machine Learning Research Engineer, GenAI Applied ML. Design and deploy machine learning models to power core customer‑facing and internal GenAI features. This role will lead the development of machine learning systems powering internal and external customer use cases across Scale’s GenAI platfo

Lead Machine Learning Engineer. We’re looking for a Staff Machine Learning Engineer to build, fine-tune, and deploy AI models at scale. Placing the Top AI and Machine Learning Talent (NYC).

Software Engineer, Machine Learning. You'll join their Knowledge Graph Intelligence Team focused on building intelligent systems powered by modern machine learning and graph-based technologies. The group partners closely with product managers, engineers, and data scientists to develop scalable platf

As a Software Engineer in Machine Learning, you will own the software systems that power machine-learning-driven features from idea to production, with a strong focus on scalability, reliability, and operational excellence. Software Engineer or Machine Learning Engineer building data-intensive, dist

QualificationsMust-Have3+ years of research, academic, or industry experience in Machine LearningData ScienceSoftware EngineeringComputer ScienceStatisticsBiologyElectrical/Mechanical/Civil EngineeringPhysicsChemistryMathematicsMaterials Science, or other STEM background. Headquartered in San Franci