Engineering Jobs in Paramus Nj Hybrid

WHY WE NEED YOU

WAZER re-invents waterjet cutters. Our ground-breaking small-footprint waterjet cutters bring universal cutting with digital precision to every workshop, big or tiny. Creating such a unique product line was no easy feat, but since then we have proven the product and are scaling up!

We are looking for energetic, adaptable and clever team members that can think on their feet to solve problems that pop up as well as work to continuously improve our systems and processes. Tired of being just a cog in a larger process? Take ownership of your work and help bring this product to its many eager customers, while having an opportunity for career growth and development.

Please note: This is not an IT or Software Support role. This position focuses on hardware support for WAZER waterjet machines. Candidates should have experience with mechanical systems, hardware maintenance, or machine operation rather than/in addition to experience with IT infrastructure or computer systems.

YOUR DAILY ROLE

• You'll be communicating with customers and solving their issues.
• You'll provide email, telephone and video technical support for customers in aspects such as hardware, software and workflow.
• You'll document customer problems and the actions taken to solve them
• You'll work with product development engineers to develop solutions for short term and long term problems
• You'll develop proactive web support content to help users solve common issues you've seen repeatedly
• You will be integral in building up long term systems and procedures as we grow
• You'll acquire market feedback from current and future customers through surveys and direct calls

MUST HAVE QUALIFICATIONS

• You must be a quick learner when it comes to mechanics
• You are a patient and thorough problem-solver and not a rash solution finder
• You have strong technical communication skills
• You have strong written communication
• You are a fast typer and very comfortable navigating the MS and Google suites
• You are a systematic and process oriented thinker and not solution minded
• You are comfortable communicating on the phone and via video platforms.
• You have strong social skills and can interact well with a wide variety of customers
• You are comfortable leading feedback sessions with other team members
• You enjoy a good brainstorm session
• You are well-organized and willing to work independently
• Ability to commute to Yonkers, NY Monday through Friday

NICE TO HAVE QUALIFICATIONS

• You have worked with CRM systems (zendesk, salesforce, etc)
• You are a maker, a hacker, a craftsperson, tinkerer, or generally curious and creative
• You can break down a system and identify what makes it work the way it does
• Degree/Experience in a technical area, for example architecture, engineering, industrial design, science, and metalworking, etc.
• Website Editing skills (squarespace blog pages)
• While it would be great to bring on experienced talent for this role, we'll accept any qualified candidate. If you are passionate about our mission, are good at what you do, and want to learn quickly don't hesitate to contact us. Be open about what you don't know and what you excel at, and we'll do our best to evaluate this with our specific needs!

COMPENSATION

This is an hourly position at $21-$25/hr, depending on relevant experience for the position. Employee Health Insurance, Paid Vacation, Paid Holidays, Paid Sick Days, Opportunities for Overtime, WAZER equity (stock options), Opportunity for advancement in a fast-growing company.

LOCATION & ENVIRONMENT

We've located ourselves in Yonkers, NY. You'll be working in an environment that is simultaneously our office, ideation studio, research lab, workshop, and final product assembly center, all under one roof. This allows us to collaborate and learn each other's area of expertise, providing better solutions to our customers. Our facility becomes a playground in the off hours. You are encouraged to design, make, and work on whatever personal projects you may have at the time. You may see brewing equipment, race car parts, plants, and art pieces around the office. Who knows what inspiration we use for the next problem we need to solve!

• Project Management: Strong organizational and multitasking skills to manage multiple campaigns and stakeholders effectively.
• Data-Driven Decision Making: Proficiency in analyzing performance metrics and using insights to optimize campaigns.
• Communication & Collaboration: Excellent verbal and written communication skills to coordinate with cross-functional teams and craft compelling notification content.
  
  

• Strategy & Planning: Develop and implement a comprehensive push notification strategy aligned with business goals, user segmentation, and personalization.
• Execution & Optimization: Oversee the end-to-end process of push notification campaigns, including content creation, A/B testing, scheduling, and performance tracking.
• Cross-functional Collaboration: Work closely with marketing, product, engineering, and design teams to ensure seamless execution and alignment with broader app initiatives.
• Data Analysis & Reporting: Monitor KPIs (open rates, click-through rates, conversion rates) and leverage insights to refine strategies and improve performance.
• Compliance & Best Practices: Ensure all push notifications adhere to industry best practices, privacy regulations, and company policies.
  
  

• Bachelors degree in Marketing, Business, Communications, or a related field.
  
  

• 5+ years of experience in digital marketing, product management, or a related role, with at least 2 years focused on push notifications or mobile app engagement.
  
  

• Experience with push notification platforms (e.g., Firebase, Braze, OneSignal).
• Familiarity with user segmentation and personalization techniques.
• Knowledge of A/B testing methodologies and tools.

• Administer and support Jira, Confluence, and other Atlassian tools: permissions, schemes, workflows, custom fields, templates, dashboards, integrations
• Manage security and compliance across our business applications,( Azure AD), audit logging, environment strategy (dev/test/prod), and change control processes
• Manage integrations and data flows between applications (via APIs, webhooks, middleware) ensuring consistency, security, and reliability
• Act as the owner of the enterprise application stack: evaluate new SaaS tools, upgrades, and migrations (including Jira, Confluence, Smartsheet and emerging AI capabilities)
• Partner with functional stakeholders (PMO, engineering, product, design) to translate business needs into system configurations, optimizations, and automations
  
  

• Direct experience working with Atlassian Jira and Confluence
• Excellent oral and written communications; ability to adapt messaging for diverse audiences
• Industry experience in new/interactive digital media and publishing
• Experience in establishing Project Management processes in forming environments
• Strong problem-solving/facilitation skills
  
  

• Partner with Engineering, Security, and Platform teams to define roadmaps that improve reliability, scalability, and developer productivity
• Drive execution of cross-team programs, managing scope, dependencies, risks, and timelines from concept through production rollout
• Translate engineering needs into clear requirements, milestones, and success metrics for tooling, automation, and platform improvements
• Ensure delivery aligns with secure-by-default standards, compliance requirements, and operational best practices
• Define, track, and regularly report on quality, efficiency, and developer experience metrics through clear, actionable dashboards
  
  

• 5+ years of direct experience in a Project Manager role directly involved with managing and delivering technology projects
• Experience with JIRA and Confluence
• Excellent oral and written communications; ability to adapt messaging for diverse audiences
• Industry experience in new/interactive digital media and publishing
• Experience in establishing Project Management processes in forming environments
• Strong problem-solving/facilitation skills
• Experience operating and influencing others in a matrix organization
• Cloud & Infrastructure Architecture Understanding: ability to manage security, scalability, high availability, and cost optimization
  
  

• 9-month contract (project based) but with a high chance of extension
• 40-hours, M-F
• Benefits: (health, dental, vision, PTO, 401k - no match).
• Pay: $70-$76/hr
• Hybrid - 3 Days onsite, 2-days remote
  
  

• Collaborate with cross functional teams to align on features and functionality
• Assist in gathering product requirements, writing user stories and prioritizing the product backlog
• Assist in product testing, feedback gathering and ensuring product quality
• Writing bug tickets/prioritizing it in the other bullets
  
  

• 1–3 years of experience as a business analyst or related role, such product management, project management, or scrum master
• Ability to break down problems, define requirements, prioritize tasks, and drive execution.
• Familiarity with app development concepts: user journeys, app design, and release cycles.
• Strong communication and organizational skills.
• Comfort working with data to inform decisions (basic analytics, funnels, conversion metrics, or A/B test results).
• Ability to write clear requirements (user stories, acceptance criteria) and collaborate closely with engineering/design.
  
  

• Experience with tools like Jira/Confluence, Figma
• Experience working in Agile/Scrum teams.
• Experience contributing to digital products on mobile apps, and familiarity with CTV or video-first experiences is a plus.
  
  

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Title: AI Research Scientist

Location: San Jose, CA

Responsibilities:

• Design, execute, and analyze machine learning experiments, establishing strong baselines and selecting appropriate evaluation metrics.
• Stay up to date with the latest AI research; identify, adapt, and validate novel techniques for company-specific use cases.
• Define rigorous evaluation protocols, including offline metrics, user studies, and adversarial (red team) testing to ensure statistical soundness.
• Specify data and annotation requirements; develop annotation guidelines and oversee quality control processes.
• Collaborate closely with domain experts, product managers, and engineering teams to refine problem statements and operational constraints.
• Develop reusable research assets such as datasets, modular code components, evaluation suites, and comprehensive documentation.
• Work alongside ML Engineers to optimize training and inference pipelines, ensuring seamless integration into production systems.
• Contribute to academic publications and represent the company in research communities, as needed.

Educational Qualifications:

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field is strongly preferred.
• Candidates with a master’s degree and exceptional research or industry experience will also be considered.

Industry Experience:

• 3–5 years of experience in AI/ML research roles, ideally in applied or product-focused environments.
• Demonstrated success in delivering research-driven solutions that have been deployed in production.
• Experience collaborating in cross-functional teams across research, engineering, and product.
• Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ACL, CVPR) are a plus.

Technical Skills:

• Strong foundational knowledge in machine learning and deep learning algorithms.
• Hands-on experience with PEFT/LoRA, adapters, fine-tuning techniques, and RLHF/RLAIF (e.g., PPO, DPO, GRPO).
• Ability to read, implement, and adapt state-of-the-art research papers to real-world use cases.
• Proficiency in hypothesis-driven experimentation, ablation studies, and statistically sound evaluations.
• Advanced programming skills in Python (preferred), C++, or Java.
• Experience with deep learning frameworks such as PyTorch, Hugging Face, NumPy, etc.
• Strong mathematical foundations in probability, linear algebra, and calculus.
• Domain expertise in one or more areas: natural language processing (NLP), symbolic reasoning, speech processing, etc.
• Ability to translate research insights into roadmaps, technical specifications, and product improvements.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Title: Machine Learning Engineer

Location: San Jose, CA

Responsibilities:

• Productize and optimize models from Research into reliable, performant, and cost-efficient services with clear SLOs (latency, availability, cost).
• Scale training across nodes/GPUs (DDP/FSDP/ZeRO, pipeline/tensor parallelism) and own throughput/time-to-train using profiling and optimization.
• Implement model-efficiency techniques (quantization, distillation, pruning, KV-cache, Flash Attention) for training and inference without materially degrading quality.
• Build and maintain model-serving systems (vLLM/Triton/TGI/ONNX/TensorRT/AITemplate) with batching, streaming, caching, and memory management.
• Integrate with vector/feature stores and data pipelines (FAISS/Milvus/Pinecone/pgvector; Parquet/Delta) as needed for production.
• Define and track performance and cost KPIs; run continuous improvement loops and capacity planning.
• Partner with ML Ops on CI/CD, telemetry/observability, model registries; partner with Scientists on reproducible handoffs and evaluations.

Educational Qualifications:

• Bachelors in computer science, Electrical/Computer Engineering, or a related field required; Master’s preferred (or equivalent industry experience).
• Strong systems/ML engineering with exposure to distributed training and inference optimization.

Industry Experience:

• 3–5 years in ML/AI engineering roles owning training and/or serving in production at scale.
• Demonstrated success delivering high-throughput, low-latency ML services with reliability and cost improvements.
• Experience collaborating across Research, Platform/Infra, Data, and Product functions.

Technical Skills:

• Familiarity with deep learning frameworks: PyTorch (primary), TensorFlow.
• Exposure to large model training techniques (DDP, FSDP, ZeRO, pipeline/tensor parallelism); distributed training experience a plus
• Optimization: experience profiling and optimizing code execution and model inference: (PTQ/QAT/AWQ/GPTQ), pruning, distillation, KV-cache optimization, Flash Attention
• Scalable serving: autoscaling, load balancing, streaming, batching, caching; collaboration with platform engineers.
• Data & storage: SQL/NoSQL, vector stores (FAISS/Milvus/Pinecone/pgvector), Parquet/Delta, object stores.
• Write performant, maintainable code
• Understanding of the full ML lifecycle: data collection, model training, deployment, inference, optimization, and evaluation.

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Sr. Data Engineer (Hybrid)

Chicago, IL

The American Medical Association (AMA) is the nation's largest professional Association of physicians and a non-profit organization. We are a unifying voice and powerful ally for America's physicians, the patients they care for, and the promise of a healthier nation. To be part of the AMA is to be part of our Mission to promote the art and science of medicine and the betterment of public health.

At AMA, our mission to improve the health of the nation starts with our people. We foster an inclusive, people-first culture where every employee is empowered to perform at their best. Together, we advance meaningful change in health care and the communities we serve.

We encourage and support professional development for our employees, and we are dedicated to social responsibility. We invite you to learn more about us and we look forward to getting to know you.

We have an opportunity at our corporate offices in Chicago for a Sr. Data Engineer (Hybrid) on our Information Technology team. This is a hybrid position reporting into our Chicago, IL office, requiring 3 days a week in the office.

As a Sr. Data Engineer, you will play a key role in implementing
and maintaining AMA's enterprise data platform to support analytics,
interoperability, and responsible AI adoption. This role partners closely with
platform engineering, data governance, data science, IT security, and business
stakeholders to deliver highquality, reliable, and secure data products. This
role contributes to AMA's modern lakehouse architecture, optimizing data
operations, and embedding governance and quality standards into engineering
workflows. This role serves as a
senior technical contributor within the team-providing mentorship to junior
engineers and implementing engineering best practices within the data platform function,
in alignment with architectural direction set by leadership.

RESPONSIBILITIES:

Data Engineering & AI Enablement

• Build and maintain scalable data pipelines and
  ETL/ELT workflows supporting analytics, operational reporting, and AI/ML use
  cases.
• Implement best practice patterns for ingestion,
  transformation, modeling, and orchestration within a modern lakehouse
  environment (e.g., Databricks, Delta Lake, Azure Data Lake).
• Develop highperformance
  data models and curated datasets with strong attention to quality, usability,
  and interoperability; create reusable engineering components and automation.
• Collaborate with the Architecture Team, the Data
  Platform Lead, and federated IT teams to optimize storage, compute, and
  architectural patterns for performance and costefficiency.
• Build model-ready data sets and feature
  pipelines to support AI/ ML use cases; serve as a technical coordination point
  supporting business units' AI-related infrastructure needs.
• Collaborate with data scientists and AI Working
  Group to operationalize models responsibly and maintain ongoing monitoring
  signals.

Governance, Quality & Compliance

• Embed data governance, metadata standards,
  lineage tracking, and quality controls directly into engineering workflows;
  ensure technical implementation and alignment within engineering workflows.
• Work with the Data Governance Lead and business
  stakeholders to operationalize stewardship, classification, validation,
  retention, and access standards.
• Implement privacybydesign and securitybydesign
  principles, ensuring compliance with internal policies and regulatory
  obligations.
• Maintain documentation for pipelines, datasets,
  and transformations to support transparency and audit requirements.

Platform Reliability, Observability & Optimization

• Monitor and troubleshoot pipeline failures,
  performance bottlenecks, data anomalies, and platformlevel issues.
• Implement observability tooling, alerts,
  logging, and dashboards to ensure endtoend reliability.
• Support cost governance by optimizing compute
  resources, refining job schedules, and advising on efficient architecture.
• Collaborate with the Data Platform Lead on
  scaling, configuration management, CI/CD pipelines, and environment management.
• Collaborate with business units to understand
  data needs, translate them into engineering requirements, and deliver
  fit-for-purpose data solutions; share and apply best practices and emerging
  technologies within assigned initiatives.
• Work with IT Security and Legal/ Compliance to
  ensure platform and datasets meet risk and regulatory standards.
  

Staff Management

• Lead, mentor, and provide management oversight
  for staff.
• Responsible for setting objectives, evaluating
  employee performance, and fostering a collaborative team environment.
• Responsible for developing staff knowledge and
  skills to support career development.

May include other responsibilities as assigned

REQUIREMENTS:

1. Bachelor's degree in Computer Science, Engineering, Information Systems, or related field preferred or equivalent work experience and HS diploma/equivalent education required.
2. 5+ years of experience in data engineering within cloud environments
3. Experience in people management preferred.
4. Demonstrated hands-on experience with modern data platforms (Databricks preferred).
5. Proficiency in Python, SQL, and data
   transformation frameworks.
6. Experience designing and operationalizing
   ETL/ELT pipelines, orchestration workflows (Airflow, Databricks Workflows), and
   CI/CD processes.
7. Solid understanding of data modeling,
   structured/unstructured data patterns, and schema design.
8. Experience implementing governance and quality
   controls: metadata, lineage, validation, stewardship workflows.
9. Working knowledge of cloud architecture, IAM,
   networking, and security best practices.
10. Demonstrated ability to collaborate across
    technical and business teams.
11. Exposure to AI/ML engineering concepts, feature
    stores, model monitoring, or MLOps patterns.
12. Experience with infrastructureascode
    (Terraform, CloudFormation) or DevOps tooling.

The American Medical Association is located at 330 N. Wabash Avenue, Chicago, IL 60611 and is convenient to all public transportation in Chicago.

This role is an exempt position, and the salary range for this position is $115,523.42-$150,972.44. This is the lowest to highest salary we believe we would pay for this role at the time of this posting. An employee's pay within the salary range will be determined by a variety of factors including but not limited to business consideration and geographical location, as well as candidate qualifications, such as skills, education, and experience. Employees are also eligible to participate in an incentive plan. To learn more about the American Medical Association's benefits offerings, please click here.

We are an equal opportunity employer, committed to diversity in our workforce. All qualified applicants will receive consideration for employment. As an EOE/AA employer, the American Medical Association will not discriminate in its employment practices due to an applicant's race, color, religion, sex, age, national origin, sexual orientation, gender identity and veteran or disability status.

THE AMA IS COMMITTED TO IMPROVING THE HEALTH OF THE NATION

Power Distribution and Make Ready Designer

Overhead Utility Pole Design • Joint-Use Engineering • NESC-Compliant Make-Ready Work

Location: Kalamazoo, MI / Remote (U.S.)

Are you an experienced Power Distribution Designer or Make-Ready Designer looking to support meaningful utility engineering projects? Join a team that values accuracy, collaboration, and long-term professional growth.

ABOUT THIS OPPORTUNITY
We are seeking skilled Make-Ready Designers (primary focus) and Power Distribution Designers to support engineering programs for major electric and telecom utilities. Ideal candidates bring demonstrated experience in overhead utility pole design, NESC application, clearance assessment, pole loading analysis, and construction package development. Useful design platforms include DDS, Katapult, O-Calc, GIS, MicroStation, AutoCAD, or client-specific drafting systems.

In this role, you will review field/walkout data, evaluate existing attachment conditions, model pole loading, determine make-ready requirements, and prepare accurate construction-ready deliverables. Applicants without utility pole design or distribution engineering experience will not be considered.

Note: This position is remote, but new hires must attend a 2-week paid, in-person orientation at our Perrysburg, OH headquarters.

WHAT YOU WILL DO
• Execute overhead distribution and make-ready design work orders while meeting quality, time, and budget expectations
• Apply established engineering design standards, NESC requirements, and internal processes
• Perform end-to-end make-ready, joint-use, and/or general distribution design
• Conduct permitting and easement research (pole ownership, ROW, property rights, approvals)
• Collaborate with team members to resolve design challenges and ensure accurate deliverables
• Use design software such as AutoCAD, MicroStation, DDS, PoleForeman, O-Calc, Katapult, or client systems
• Perform quality control reviews when required
• Support additional duties as assigned

TOP COMPETENCIES & SKILLS
Make-Ready Engineering, Joint-Use Design, Pole Loading Analysis, Utility Pole Design, Overhead Distribution Design, NESC Compliance, Utility Engineering, Pole Attachments, Make-Ready Construction, Aerial Design, Utility Coordination, Right-of-Way Permitting, Pole Replacement Design, Make-Ready Estimates, Field Survey Interpretation, CAD for Utility Design, GIS for Utility Design, Electrical Distribution Design, Utility Construction Standards, Telecommunications Make-Ready

WHAT WE’RE LOOKING FOR
• High school diploma or equivalent required; an associate degree or higher in engineering, drafting, or a related field is preferred
• Minimum 2 years of experience in make-ready engineering, joint-use design, or electric power distribution design (3+ years strongly preferred)
• Proven experience in utility pole design, including NESC application, clearance analysis, pole loading concepts, and preparation of construction-ready design packages
• Proficiency with CAD or MicroStation; experience with DDS, Katapult, O-Calc, or similar utility design platforms is strongly preferred
• Solid understanding of power distribution construction practices, with the ability to learn utility-specific proprietary systems efficiently
• Must hold a valid driver’s license, maintain active auto insurance, and pass all required background, drug, and MVR screenings
• Authorization to work in the United States is required
• Willingness to travel occasionally, including minimal overnight travel when project needs require
• Ability to work a standard Monday–Friday schedule aligned to Eastern Time, with Central/Mountain/Pacific adjustments as appropriate

PHYSICAL REQUIREMENTS
• Ability to work for extended periods using a computer keyboard, monitor, and telephone
• Ability to prepare and analyze data, review detailed information, and work with design tools requiring close vision, distance vision, color vision, peripheral vision, depth perception, and focus adjustment
• Ability to communicate effectively through oral and written channels

ABOUT SIGMA TECHNOLOGIES
Sigma Technologies is a growing engineering and design firm with 500+ team members across 30+ states. For over 25 years, we’ve supported major power and telecommunications utilities with work that directly impacts communities nationwide. Our core values — Safety, Honesty, Truth, and Decency — shape how we work and who we hire. We are TeamSigma™.

*To learn more about working at Sigma, view our video and career page.
* If you do not have Power Design experience, please refer to our other open positions: *While Designer openings are listed in multiple locations, you only need to apply to one, as they are remote roles.

WHAT WE OFFER
We want our Associates to stay healthy, happy, and secure. We offer a positive work environment with supportive coworkers, managers, and leaders, plus:

• No-cost monthly healthcare plan option for employees
• Competitive pay
• Medical, dental, and vision plans with up to 80% of the premium sponsored by Sigma
• 401(k) plan with matching contributions up to 5% of salary
• Paid holidays, vacation, and sick time
• Education and professional licensing assistance programs

This job advertisement is intended to outline the primary responsibilities and requirements of the role. It is not all-inclusive. Additional duties may be assigned as needed. This ad does not constitute an employment agreement, and job requirements may change based on organizational needs.

Pay is commensurate with experience and education. Sigma is an equal opportunity employer and does not discriminate based on race, color, gender, sexual preference, gender identity, age, religion, national origin, disability, genetic information, veteran/military status, or any classification protected by law.

PM22
#Remote

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