Staff engineer jobs in Union, NJ

Apexon is now one of the fastest-growing companies in digital engineering services. We nurture your career goals and provide you with opportunities to strengthen your skillset while working on cutting-edge technologies and diverse projects for our clients. To be considered for an interview, please make sure your application is full in line with the job specs as found below. We are a global community spread across 19 locations around the world including many in the U.S. such as Silicon Valley, New York, Chicago, IL, Princeton, NJ, Southfield, MI, Bellevue, WA, Dublin, OH, Dallas, TX, and Windsor, Ontario, Canada We are now in MEXICO too! Join us on this exciting journey and take your career to new heights. We are currently building a team of AI Engineers and you can be a part of it. Please go through below Job description: *Role:* JD: _In this role, you will be responsible for launching and implementing GenAI agentic solutions aimed at reducing the risk and cost of managing large-scale production environments with varying complexities. You will address various production runtime challenges by developing agentic AI solutions that can diagnose, reason, and take actions in production environments to improve productivity and address issues related to production support._ _What you'll do:_ _*Build agentic AI systems: Design and implement tool-calling agents that combine retrieval, structured reasoning, and secure action execution (function calling, change orchestration, policy enforcement) following MCP protocol. Engineer robust guardrails for safety, compliance, and least-privilege access.*_ _*Productionize LLMs: Build evaluation framework for open-source and foundational LLMs; implement retrieval pipelines, prompt synthesis, response validation, and self-correction loops tailored to production operations.*_ _*Integrate with runtime ecosystems: Connect agents to observability, incident management, and deployment systems to enable automated diagnostics, runbook execution, remediation, and post-incident summarization with full traceability.*_ _*Collaborate directly with users: Partner with production engineers, and application teams to translate production pain points into agentic AI roadmaps; define objective functions linked to reliability, risk reduction, and cost; and deliver auditable, business-aligned outcomes.*_ _*Safety, reliability, and governance: Build validator models, adversarial prompts, and policy checks into the stack; enforce deterministic fallbacks, circuit breakers, and rollback strategies; instrument continuous evaluations for usefulness, correctness, and risk.*_ _*Scale and performance: Optimize cost and latency via prompt engineering, context management, caching, model routing, and distillation; leverage batching, streaming, and parallel tool-calls to meet stringent SLOs under real-world load.*_ _*Build a RAG pipeline: Curate domain-knowledge; build data-quality validation framework; establish feedback loops and milestone framework maintain knowledge freshness.*_ _*Raise the bar: Drive design reviews, experiment rigor, and high-quality engineering practices; mentor peers on agent architectures, evaluation methodologies, and safe deployment patterns*_ * Role Requirements: understand what skills, experience, and qualities you are looking for. ESSENTIAL SKILLS * _5+ years of software development in one or more languages (Python, C/C++, Go, Java); strong hands-on experience building and maintaining large-scale Python applications preferred._ * _3+ years designing, architecting, testing, and launching production ML systems, including model deployment/serving, evaluation and monitoring, data processing pipelines, and model fine-tuning workflows._ * _Practical experience with Large Language Models (LLMs): API integration, prompt engineering, fine-tuning/adaptation, and building applications using RAG and tool-using agents (vector retrieval, function calling, secure tool execution)._ * _Understanding of different LLMs, both commercial and open source, and their capabilities (e.g., OpenAI, Gemini, Llama, Qwen, Claude)._ * _Solid grasp of applied statistics, core ML concepts, algorithms, and data structures to deliver efficient and reliable solutions._ * _Strong analytical problem-solving, ownership, and urgency; ability to communicate complex ideas simply and collaborate effectively across global teams with a focus on measurable business impact. xevrcyc _ * _Preferred: Proficiency building and operating on cloud infrastructure (ideally AWS), including containerized services (ECS/EKS), serverless (Lambda), data services (S3, DynamoDB, Redshift), orchestration (Step Functions), model serving (SageMaker), and infra-as-code (Terraform/CloudFormation). _ * #IND1 Job Type: Full-time Pay: $116,332.88 - $140,099.80 per year Benefits: * 401(k) * Dental insurance * Health insurance * Paid time off * Vision insurance Work Location: In person

Reports directly to the Project Manager or designated Deputy Project Manager. Primary Responsibilities: Manage all aspects of project documentation, including submittals, RFIs, and meeting minutes. Prepare logs and other documentation required for construction meetings. Distribute updated drawings and design changes to subcontractors. Draft change orders and track subcontractor pricing for review by the Project Manager. Coordinate with the project team to ensure timely and efficient project closeout. Print and perform minor updates to project schedules. Monitor milestone dates to ensure submittal deadlines are met. Work with subcontractors to obtain submittal documentation and material lead time information. Perform additional tasks as assigned by the Project Manager or Deputy PM, consistent with the responsibilities of a Project Engineer on heavy civil construction projects. Qualifications & Skills: Minimum of 5 years of experience in the construction industry, preferably with self-performed work in heavy civil projects (e.g., bridges, highways, tunnels, and similar infrastructure). Self-motivated and collaborative, with a strong team-oriented mindset. Ability to work extended hours and maintain flexibility during peak project demands or critical operations. Responsive to calls, texts, and emails. Solid understanding of construction documentation, cost control, scheduling, and labor management. Proficiency with company software, Microsoft Office Suite, and Microsoft Project. Strong organizational skills with the ability to manage tasks independently and meet critical deadlines. Comfortable leading junior engineers, field engineers, interns, and other less experienced team members. Excellent writing, editing, and proofreading skills. Thrives in a fast-paced environment; resourceful and innovative.

Senior Identity Services Engineer_ New York City, NY, PA, CT, NJ _Full-Time (FTE)_Direct Hire Senior Identity Services Engineer Job Type: Full-Time (FTE) Office space available at location listed The candidate would need to live in the following states NY, PA, CT, NJ Industry: Healthcare / Health Services - Medical Records / IT / Informatics Job Category: Information Technology - Security Base Salary: $97,000 to $145,000 +Best-in-class benefits Preferred Qualifications: * Hands-on experience with the Ping Identity platform, particularly: * PingFederate, PingOne, PingID, PingDirectory * Experience with MFA and Passwordless/FIDO2/WebAuthn authentication strategies * Experience building and configuring enterprise SSO applications in Azure AD / Entra ID * Exposure to IAM orchestration platforms such as PingOne DaVinci or similar tools * Experience supporting cloud identity integrations (Azure, AWS, GCP) * Familiarity with enterprise SSO in hybrid environments (on-prem and cloud-based apps) * Strong documentation and communication skills * Comfortable collaborating across technical and non-technical teams * Ability to lead projects and mentor junior engineers Required Qualifications: * 5+ years of Identity & Access Management experience with a strong focus on SSO and federation Deep technical knowledge of: * PingFederate, Azure AD, Okta, ADFS * Federation protocols including SAML, OIDC, and OAuth2 * LDAP, Active Directory, SCIM * Proficiency in scripting and development with PowerShell, Python, and Java * Experience working with REST APIs for IAM services; familiarity with Postman or similar tools * Familiarity with OGNL expression language for customizing PingFederate policies * Front-end UX design and customization using HTML, CSS, and JavaScript * Basic Linux administration skills for maintaining and managing IAM infrastructure * Working knowledge of certificates and PKI (X.509, certificate chains, signing, encryption, keystore management) * Strong troubleshooting and debugging skills across application, identity, and network layersx * Understanding of modern identity concepts such as Zero Trust, adaptive authentication (risk-based, device/user signals), and conditional access Candidate Details: *5+ to 7 years experience *Seniority Level - Mid-Senior *Minimum Education - High School Diploma or Equivalent *Willingness to Travel - Occasionally

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

At Mercor, we're building the talent engine that helps leading labs and research orgs move AI forward. Our latest initiative focuses on benchmarking and improving model performance and training speed across real ML workloads. If you're an early-career Machine Learning Engineer or an ML PhD who cares about innovation and impact, we'd love to meet you. ## What to Expect As a Machine Learning Engineer, you'll tackle diverse problems that explore ML from unconventional angles. This is a remote, asynchronous, part-time role designed for people who thrive on clear structure and measurable outcomes. - **Schedule:** Remote and asynchronous-set your own hours - **Commitment:** ~20 hours/week - **Duration:** Through December 22nd, with potential extension into 2026 ## What You'll Do - Draft detailed natural-language plans and code implementations for machine learning tasks - Convert novel machine learning problems into agent-executable tasks for reinforcement learning environments - Identify failure modes and apply golden patches to LLM-generated trajectories for machine learning tasks ## What You'll Bring - **Experience:** 0-2 years as a Machine Learning Engineer or a PhD in Computer Science (Machine Learning coursework required) - **Required Skills:** Python, ML libraries (XGBoost, Tensorflow, scikit-learn, etc.), data prep, model training, etc. - **Bonus:** Contributor to ML benchmarks - **Location:** MUST be based in the United States ## Compensation & Terms - **Rate:** $80-$120/hr, depending on region and experience - **Payments:** Weekly via Stripe Connect - **Engagement:** Independent contractor ## How to Apply 1. Submit your resume 2. Complete the System Design Session (< 30 minutes) 3. Fill out the Machine Learning Engineer Screen (engineering, and research use Mercor to work on frontier projects shaping the next era of AI.

Year Up United is a one-year or less, intensive job training program that provides young adults with in-classroom skill development, access to internships and/or job placement services, and personalized coaching and mentorship. Year Up United participants also receive an educational stipend. The program combines technical and professional training with access to internships and job placement support through our industry-leading talent placement firm YUPRO Placement. If you receive an internship, it may be at BNY Mellon, Fidelity, or Bank of America, among many other leading organizations in the New York | New Jersey area. Are you eligible? You can apply to Year Up United if you are: - A high school graduate or GED recipient - Eligible to work in the U.S. - Available Monday-Friday throughout the duration of the program - Highly motivated to learn technical and professional skills - Have not obtained a Bachelorʼs degree - You may be required to answer additional screening questions when applying What will you gain? Professional business and communication skills, interviewing and networking skills, resume building, ongoing support and guidance to help you launch your career. During the internship phase, Year Up United students earn an educational stipend of $525 per week. In-depth classes include: - Application Development - Business Operations - Banking - IT Support - Investment Operations - Data Analytics - Project Management - Network Security & Support Get the skills and opportunity you need to launch your professional career. 75% of Year Up United graduates are employed and/or enrolled in postsecondary education within 4 months of graduation. Employed graduates earn an average starting salary of fifty-three thousand dollars per year. PandoLogic. Category:General, Location:Newark, NJ-07184

AI Engineer - Healthcare Automation Platform Well-Funded Startup | Healthcare AI | Hybrid (NYC preferred) or Remote About Us We're building an AI-powered automation platform that streamlines critical workflows in healthcare operations. Our system processes complex, unstructured data to ensure time-sensitive information gets where it needs to go-reducing delays and improving operational efficiency for healthcare providers. We're in production with paying enterprise customers and experiencing rapid growth. The Role We're looking for a high-agency AI Engineer to bridge the gap between cutting-edge ML research and real-world product delivery. You'll design and build agentic workflows that automate complex operational processes, combining LLMs, vision models, and structured automation to solve challenging infrastructure and workflow problems. This role involves creating pipelines, evaluation harnesses, and scalable production-grade agents. You'll research and implement the best-fit technology for each workflow, working across the full stack from data collection to orchestration to frontend integration. What You'll Build Ship full-stack AI systems end-to-end-from prototype to production Build observability and debugging tools to capture model performance, user feedback, and edge cases Go from ideation to working code within hours; iterate rapidly on experiments and data Design agentic workflows powered by LLMs and vision models for document understanding Create evaluation frameworks to test AI system performance beyond raw model accuracy Work directly with cross-functional teams (ML, Sales, Customer Success) to build AI solutions for diverse use cases What We're Looking For Full-stack engineering experience with web frameworks, backend systems, and cloud infrastructure Proven track record of building, testing, deploying, scaling, and monitoring LLM-centered software architectures Hands-on expertise with LLM APIs and production AI system deployment Understanding of how to evaluate AI systems holistically-beyond model accuracy alone Strong communication skills-ability to write clear technical documentation and explain complex systems Bonus: Experience in healthcare or working with unstructured documents Why Join Us? Drive Impact: High-agency culture where you set the pace and see direct results Own Your Work: End-to-end ownership from research to production deployment Innovate with Purpose: Join a high-caliber team solving real problems at scale Competitive Package: $200K-$240K + equity + comprehensive benefits Great Perks: Unlimited PTO, 100% paid health benefits, 401(k) match, catered lunch, snacks Location: NYC office 4 days/week preferred (Chelsea), remote considered for exceptional candidates Desired Skills and Experience AI Engineer - Healthcare Automation Platform Well-Funded Startup | Healthcare AI | Hybrid (NYC preferred) or Remote About Us We're building an AI-powered automation platform that streamlines critical workflows in healthcare operations. Our system processes complex, unstructured data to ensure time-sensitive information gets where it needs to go-reducing delays and improving operational efficiency for healthcare providers. We're in production with paying enterprise customers and experiencing rapid growth. The Role We're looking for a high-agency AI Engineer to bridge the gap between cutting-edge ML research and real-world product delivery. You'll design and build agentic workflows that automate complex operational processes, combining LLMs, vision models, and structured automation to solve challenging infrastructure and workflow problems. This role involves creating pipelines, evaluation harnesses, and scalable production-grade agents. You'll research and implement the best-fit technology for each workflow, working across the full stack from data collection to orchestration to frontend integration. What You'll Build Ship full-stack AI systems end-to-end-from prototype to production Build observability and debugging tools to capture model performance, user feedback, and edge cases Go from ideation to working code within hours; iterate rapidly on experiments and data Design agentic workflows powered by LLMs and vision models for document understanding Create evaluation frameworks to test AI system performance beyond raw model accuracy Work directly with cross-functional teams (ML, Sales, Customer Success) to build AI solutions for diverse use cases What We're Looking For Full-stack engineering experience with web frameworks, backend systems, and cloud infrastructure Proven track record of building, testing, deploying, scaling, and monitoring LLM-centered software architectures Hands-on expertise with LLM APIs and production AI system deployment Understanding of how to evaluate AI systems holistically-beyond model accuracy alone Strong communication skills-ability to write clear technical documentation and explain complex systems Bonus: Experience in healthcare or working with unstructured documents Why Join Us? Drive Impact: High-agency culture where you set the pace and see direct results Own Your Work: End-to-end ownership from research to production deployment Innovate with Purpose: Join a high-caliber team solving real problems at scale Competitive Package: $200K-$240K + equity + comprehensive benefits Great Perks: Unlimited PTO, 100% paid health benefits, 401(k) match, catered lunch, snacks Location: NYC office 4 days/week preferred (Chelsea), remote considered for exceptional candidates Oscar Associates Limited (US) is acting as an Employment Agency in relation to this vacancy.

We are seeking an accomplished Senior Credit Researcher to join our investment team and drive high-conviction, alpha-generating ideas in corporate credit markets. This role requires a hybrid skill set: deep fundamental credit expertise coupled with advanced quantitative and analytical capabilities. The successful candidate will combine rigorous company-level research with data-driven insights to uncover opportunities across the credit spectrum. Key Responsibilities: Alpha Generation Conduct fundamental research across corporates and sectors, identifying relative value and mispricings. Develop investment theses supported by both traditional analysis and quantitative validation. Generate actionable recommendations across bonds, tranches, CDX. Research & Analysis Build detailed financial and valuation models, including scenario-based stress testing and capital structure simulations. Apply quantitative techniques (e.g., factor modelling, regression analysis, statistical testing) to enhance investment conviction. Leverage large datasets - including alternative and market microstructure data - to uncover signals and trends. Integrate macroeconomic and micro credit drivers, sector dynamics into both qualitative and quantitative research frameworks. Collaboration & Leadership Partner with PM, traders, and risk management to align research with portfolio construction and risk-adjusted return goals. Collaborate with quantitative researchers and data engineers to refine analytical toolkits. Represent credit research perspectives in firmwide investment discussions. Qualifications: 7-12+ years of experience in fundamental credit research with exposure to quantitative methods; hedge fund or credit-focused buy-side experience preferred. Proven track record of generating profitable investment ideas. Strong foundation in corporate finance, credit valuation, and capital structure analysis. Proficiency in Python, R, or MATLAB for modelling, statistical analysis, and data manipulation. Familiarity with databases, APIs, and data science workflows (SQL, Pandas, NumPy, etc.). Excellent communication skills with the ability to present complex analysis clearly and persuasively. Commercial mindset and disciplined risk awareness. Preferred Experience: Coverage in high-yield, distressed, or special situations credit. Familiarity with quantitative factor models, machine learning applications, or statistical arbitrage concepts applied to credit. Experience with large/alternative datasets (credit card, supply chain, satellite, etc.) and integration into research processes. Advanced degree in a quantitative or financial discipline (CFA, MBA, MSc, PhD) desirable but not essential. What We Offer Competitive compensation structure with performance-based upside. The opportunity to drive research impact at the heart of a high-conviction, performance-driven hedge fund. Access to cutting-edge data, tools, and infrastructure to support research innovation. A collaborative environment that prizes intellectual rigour and creativity.

7+ years of experience in Business Intelligence, Data Modeling, or related data analytics roles. Expert-level proficiency with Power BI Semantic Layer and Azure Analysis Services (AAS) (Tabular models). Strong experience in data modeling, DAX, and MDX. Deep understanding of semantic layer design principles, data architecture, and data warehousing concepts. Proven ability to conduct complex data analysis and deliver actionable insights. Strong SQL skills and experience working with large, complex data sets. Excellent communication and collaboration skills with both technical and non-technical stakeholders.

Our client is seeking Senior Salesforce Developer Engineer to join their team! This position is located in New York, New York. Lead the design, development, and deployment of scalable Salesforce solutions using Apex, Lightning Web Components (LWC), and integration APIs Partner with business stakeholders, solution architects, and engineering teams to translate requirements into robust, extensible technical designs Implement Salesforce integrations with AWS services such as Lambda, S3, and API Gateway, ensuring secure and performant data exchange Collaborate with UX and front-end teams to deliver modern, responsive user experiences using React.js, TypeScript, and Figma Design and implement event-driven architectures using Platform Events, Change Data Capture (CDC), and asynchronous Apex to support scalable, loosely coupled integrations Oversee code reviews, enforce development standards, and drive continuous improvement through CI/CD pipelines, automation, and DevOps practices Troubleshoot and optimize performance across environments, ensuring reliability, maintainability, and compliance with enterprise security standards Evaluate and integrate NPM packages and open-source libraries to enhance component functionality and maintain consistency across applications Contribute to Salesforce platform modernization by leveraging AWS DevOps tools, automation frameworks, and reusable architecture components Stay current on emerging technologies, including Salesforce AI (Einstein, GPT-based assistants) and MuleSoft, to evolve integration and automation capabilities Desired Skills/Experience: Bachelor's degree in Computer Science, Software Engineering, or related field 7+ years of proven expertise in leading new Salesforce implementations, guiding a team of developers through end-to-end solution design, development, and deployment Proven expertise in Apex, LWC, and Flow Builder, blending custom development with Salesforce's out-of-the-box capabilities to create scalable and maintainable solutions Strong hands-on experience in Salesforce event-driven architecture, including Platform Events, CDC, and pub/sub patterns for real-time, asynchronous communication Deep understanding of Salesforce data architecture, security model, and multi-org governance in a shared platform environment supporting multiple lines of business Proven ability to design and implement secure integrations using Salesforce APIs, MuleSoft, and AWS services such as: Lambda, S3 and API Gateway Strong background in JavaScript, React.js, and TypeScript, applying component-based principles and UI best practices across Salesforce and standalone apps Demonstrated experience collaborating with data teams to analyze, troubleshoot, and resolve complex data quality and integration issues across systems Experience translating Figma mockups into responsive, accessible, and reusable LWC and React components Proficiency with CI/CD pipelines, GitHub, and Jenkins, enabling automated deployments and version control In-depth knowledge of authentication and authorization mechanisms including OAuth 2.0, JWT, and Named Credentials Excellent analytical, communication, and stakeholder management skills, with a focus on cross-functional collaboration and technical excellence Benefits: Medical, Dental, & Vision Insurance Plans Employee-Owned Profit Sharing (ESOP) 401K offered The approximate pay range for this position is between $48.00 and $68.00. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.

About us: Camber builds software to improve the quality and accessibility of healthcare. We streamline and replace manual work so clinicians can focus on what they do best: providing great care. For more details on our thesis, check out our write-up: What is Camber? We've raised $50M in funding from phenomenal supporters at a16z, Craft Ventures, YCombinator, Manresa, and many others who are committed to improving the accessibility of care. For more information, take a look at: Announcing Camber About our Culture: Our mission to change behavioral health starts with us and how we operate. We don't want to just change behavioral health, we want to change the way startups operate. Here are a few tactical examples: 1) Improving accessibility and quality of healthcare is something we live and breathe. Everyone on Camber's team cares deeply about helping clinicians and patients. 2) We have to have a sense of humor. Healthcare is so broken, it's depressing if you don't laugh with us. About the role: We're seeking a proactive, tech-savvy sales operations professional with a startup mindset-someone who thrives on breaking growth barriers and enabling sales excellence. This person will be both a systems admin and a strategic partner: ensuring HubSpot and our tech stack are humming, while also helping shape compensation, territories, and GTM expansion. What you'll do: Systems & CRM Administration Manage and optimize current CRM (HubSpot) and other tech stack integrations: build workflows, dashboards, and troubleshoot system issues Support onboarding/offboarding of users, governance, data hygiene, and adoption Data, Forecasting & Reporting Design and maintain dashboards, reports, and metrics that drive decision-making (e.g., pipeline health, forecast accuracy, win rates) Deliver actionable insights to stakeholders across sales leadership Compensation & Territory Strategy Assist in designing incentive and quota plans that align with sales goals Collaborate on territory definition, alignment, and carve strategy to ensure balanced coverage Process & Cross-Functional Enablement Streamline sales workflows and sales-marketing-sales handoffs Partner across teams-Sales, Marketing, Finance-to ensure operational alignment and seamless execution Strategic & Tactical Execution Be hands-on when needed (data crunching, HubSpot tweaks) while contributing to broader sales strategy planning What we're looking for: 2-4 years in startup, sales operations, or Rev-Ops environment (or similar roles) CRM administration experience-ideally HubSpot; bonus if familiar with other tools and workflows Strong analytical skills-coding, Excel, BI, sales forecasting, data modeling Operational rigor and problem-solving mindset A strategic thinker who can scale systems and structure Thrives in growth-stage constraints; comfortable wearing multiple hats and moving quickly Perks & Benefits at Camber: Comprehensive Health Coverage: Medical, dental, and vision plans with nationwide coverage, including 24/7 virtual urgent care. Mental Health Support: Weekly therapy reimbursement up to $100, so you can prioritize the care that works best for you. Paid Parental Leave: Up to 12 weeks of fully paid time off for new parents ( birth, adoption, or foster care) . Financial Wellness: 401K (traditional & Roth), HSA & FSA options, and monthly commuter benefits for NYC employees. Time Off That Counts: 18 PTO days per year (plus rollover ), plus office closures for holidays, monthly team events, company off-sites, and daily, in-office lunches for our team. Fitness Stipend: $100/month to use on fitness however you choose. Hybrid Flexibility: In NYC? We gather in the office 3-5x/week, with flexibility when life happens. Fridays are remote-friendly. Camber is based in New York City, and we prioritize in-person and hybrid candidates. Building an inclusive culture is one of our core tenets as a company. We're very aware of structural inequalities that exist, and recognize that underrepresented minorities are less likely to apply for a role if they don't think they meet all of the requirements. If that's you and you're reading this, we'd like to encourage you to apply regardless - we'd love to get to know you and see if there's a place for you here! In addition, we take security seriously, and all of our employees contribute to uphold security requirements and maintain compliance with HIPAA security regulations.

The ideal candidate possesses both a high level of technical expertise and an innate passion to build. You will play a critical role in creating and refining processes in order to improve manufacturing safety, quality, and productivity. Responsibilities Participate in PPAP process, including drawing feasibility reviews, manufacturing reviews, Failure Modes and Effects Analyses (FMEAs) reviews, etc. Collaborate with other departments to investigate and address quality-related issues using methodologies like 8D, Kaizen, DMAIC, and root cause analysis. Develop and maintain production-related documentation and Standard Operating Procedures (SOPs). Qualifications BS degree in Mechanical Engineering, Manufacturing/Industrial Engineering, or equivalent. 2+ years of engineering experience within a high-volume manufacturing environment. Experience with Continuous Improvements, Lean, Six Sigma, Kaizen, and 5S tools. To all staffing agencies: Wiss does not utilize 3rd party firms for any internal or client positions. Please be advised, Wiss is not responsible for any fees related to unsolicited resumes. All unsolicited resumes will become the property of Wiss.

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

Key Responsibilities: Design, build, and fine-tune Generative AI models (LLMs, diffusion models, transformers) for enterprise use cases. Implement end-to-end ML pipelines - data ingestion, preprocessing, model training, and deployment. Collaborate with data engineering and cloud teams to operationalize models on AWS or other cloud platforms. Experiment with prompt engineering, embeddings, and model customization for domain-specific applications. Develop APIs and microservices to serve AI/ML models in production environments. Optimize model performance, cost, and scalability through fine-tuning, quantization, or caching strategies. Stay current with emerging AI frameworks, GenAI tools, and open-source LLMs (e.g., OpenAI, Hugging Face, LangChain).

Our client, a Fortune 500 pharmaceutical company, has engaged GForce Life Sciences to provide a Senior Electrical Engineer. the Professional Engineer (PE) will have expertise in electrical systems including electrical distributed power generation, feeds, distribution, lighting, fire alarm, emergency power, UPS, and low voltage systems. The PE is responsible for overseeing the engineering of these systems for major capital projects and initiatives from conceptualization through programming, design, bidding, construction, commissioning, and close out. The PE will be responsible for multiple high-complexity projects of diverse scope that require an understanding of state of the art construction techniques and a high level of expertise in electrical systems, as well as rigor in compliance, and the highest standard of care. Science projects include research laboratories, vivarium, pilot scale manufacturing, major scientific equipment, amenity space, outdoor plaza, site lighting, and infrastructure projects. The PE shall collaborate with the project team to effectively identify innovative solutions and bring clarity to the project process using a sophisticated analytical approach and sound judgement. Core focus areas include defining and meeting project goals for electrical systems, reviewing budgets, schedules, scopes, and quality, as well as risk mitigation and responding to field conditions and construction logistics and challenges. The PE will be responsible to lead design teams and Construction Managers in both the pre-construction due diligence, design and scoping process with a focus on quality management, project controls, and user engagement as well as leading their teams through the bidding and construction administration process with a focus on field coordination, commissioning, substantial completion and close out. Responsibilities Assists the Project Management team in developing the budget and schedule for design and construction projects, including renovations and green field projects. Works closely with Project Management, Engineering, Space Planning, EHS, Operations, and User teams to fully and rigorously document the electrical system requirements in the Owner's Project Requirements document. Performs preliminary due diligence explorations of existing electrical systems during project initiation to identify any potential risks to the project and any opportunities for improving the building systems of existing buildings. Assists the Project Manager and Procurement in the development of scopes of work for design professionals, construction managers, general contractors and commissioning agent RFPs. Assist in the evaluation and bid leveling of proposals. Participates in regular project meetings. Works directly with hired MEP engineers, consultants, and contractors to answer questions, resolve issues and develop solutions. Provides supervision for all stages of the development and documentation of electrical requirements for lab and other equipment for the project. Collaborates with the Project Management team, internal engineers, end users, the Asset Management team, EHS, design professionals, lab equipment vendors, design professionals and contractors to ensure that all electrical system requirements for the equipment are met. Provides detailed reviews of and comments on due diligence reports, test fits, Basis of Design documents, room data sheets, construction documents and specifications prepared by the design professionals, checking for thoroughness, accuracy and compliance with the project requirements, design and documentation standards and minimize errors and omissions. Identifies long lead time equipment for potential Early Works purchasing by the contractor Works with the Project Managers, Design Professionals and Contractors to find solutions to mitigate costs and schedule delays due to errors and omissions in the design documents and unforeseeable field conditions Reviews shop drawings and submittals, RFI responses, and Change Orders Makes frequent site visits to ensure that electrical requirements are being implemented correctly during construction and creates field reports. Reviews Design Professional punch lists. Manages commissioning, auditing, & validating facilities systems for Capital Projects. Assists the Asset Management and Operations team in preparing equipment lists for import into the Integrated Workplace Management System Coaches and Mentors other members of engineering staff and supervises day to day operation of electrical systems. Interacts with municipalities and Con-Ed to obtain building permits and inspections. Supervises, coordinates, and schedules work with outside contractors and internal technicians. Audits, tests, commissions, and validates Facilities systems and also provide specialized engineering support services to RGC, PMPD, PCD, IT, & Vivarium groups. Requirements Bachelor's degree in Engineering required Minimum of 5 years in an electrical engineering role In depth knowledge and extensive experience in electrical systems for complex life science laboratory and vivarium projects Skilled in the use of AutoCAD, Revit, Navisworks, SharePoint and Bluebeam Revu IWMS system experience Terms & Start Onsite 4 days/week in Tarrytown, NY 12+ month contract Start ASAP Benefits included (Medical, Dental, Vision)

🔎 We're Hiring: Senior Plumbing & Fire Protection Engineer / MEP Designer (On-Site - Brooklyn, NY) Precision Design, a leading MEP Engineering firm in Brooklyn, NY, is seeking a Senior Plumbing Engineer / MEP Designer with strong experience in Plumbing, Fire Protection We are looking for a highly skilled professional who can independently design systems, coordinate across multiple disciplines, and manage multiple projects in a fast-paced environment. Candidates must have at least 5 years of industry experience, including a minimum of 3 years designing in NYC, and must be fully knowledgeable of NYC Building and Energy Codes. 💼 Responsibilities Design Plumbing & Fire Protection systems from concept through full construction documents Prepare calculations for water, gas, sanitary/sewer, and storm loads Perform field surveys and assess existing building conditions Produce drawings, specifications, and all phases of design (schematic → construction administration) Coordinate with architectural, engineering, and external project teams, including contractors and city agencies Manage multiple projects simultaneously Review shop drawings and participate in project meetings 📘 Required Skills & Experience 5+ years of related experience in Plumbing and/or Fire Protection design At least 3 years of NYC-specific design experience Strong knowledge of NYC Building Codes, NYC Energy Conservation Code, and NYC filing requirements Experience with utility company filing procedures Proficiency in AutoCAD (Revit is a plus) Familiarity with NFPA-13, NFPA-13R, and hydraulic calculations Experience with DEP cross-connection and site connection submissions is strongly preferred Excellent communication, teamwork, and interpersonal skills Ability to work independently and manage multiple deadlines 📍 Work Location On-site in our Brooklyn, NY office (no remote option)

BeaconFire is based in Central NJ, specializing in Software Development, Web Development, and Business Intelligence; we are looking for candidates with a strong background in Software Engineering or Computer Science for a Java/Software Developer position. Responsibilities: ● Develop software and web applications using Java 8/J2EE/Java EE (and higher), React.js,Angular2+, SQL, Spring, HTML5, CSS, JavaScript and TypeScript among other tools; ● Write scalable, secure, maintainable code that powers our clients' platforms; ● Create, deploy, and maintain automated system tests; ● Work with Testers to understand defects opened and resolves them in a timely manner; ● Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review; ● Collaborate effectively with other team members to accomplish shared user story and sprint goals; Basic Qualifications: ● Experience in programming language JavaScript or similar (e.g. Java, Python, C, C++, C#, etc.) an understanding of the software development life cycle; ● Basic programming skills using object-oriented programming (OOP) languages with in-depth knowledge of common APIs and data structures like Collections, Maps, lists, Sets etc. ● Knowledge of relational databases (e.g. SQL Server, Oracle) basic SQL query language skills Preferred Qualifications: ● Master's Degree in Computer Science (CS) ● 0-1 year of practical experience in Java coding ● Experience using Spring, Maven and Angular frameworks, HTML, CSS ● Knowledge with other contemporary Java technologies (e.g. Weblogic, RabbitMQ, Tomcat, etc.) · Knowledge of JSP, J2EE, and JDBC · Compensation: $65,000.00 to $80,000.00 /year BeaconFire is an e-verified company. Work visa sponsorship is available.

About LiquidPiston LiquidPiston is revolutionizing combustion engine technology through the development of advanced rotary engines and integrated hybrid power systems. Our innovative designs aim to dramatically improve efficiency, reduce size and weight, and enable cleaner, more compact power solutions across defense, aerospace, and commercial sectors. Position Overview We are seeking a highly skilled and motivated Senior Power Electronics Engineer to join our growing Electrical Engineering team. In this role, you will lead the development of advanced power conversion systems for hybrid power solutions, including clean-sheet designs for inverters, converters, and motor control systems. You will play a key role in supporting power electronics integration for next-generation generator sets, hybrid powertrains, and electrified propulsion systems. Key Responsibilities * Lead clean-sheet design and development of AC/DC and DC/DC power converters, including bidirectional inverters and battery chargers. * Perform magnetics and filter design, system-level integration, and EMI hardening for military-grade systems. * Design and implement high-speed switching power electronics with 4-quadrant motor control and precise AC-DC regulation. * Conduct EMI/EMC testing, troubleshooting, and compliance verification to DoD and MIL-STD requirements. * Collaborate with mechanical, firmware, and systems engineers to deliver compact, efficient, and ruggedized power solutions. * Document designs and results using Microsoft Office tools and contribute to technical reports and presentations. * Interface with vendors, customers, and multidisciplinary project teams throughout the product lifecycle. Required Qualifications * Bachelor's or Master's degree in Electrical Engineering, Power Electronics, or related field. * Demonstrated expertise in: * Bidirectional inverters, DC/DC converter topologies, and magnetics/filter design * EMI hardening and compliance testing for defense applications * High-speed switching and motor control (4-quadrant) * Familiarity with AC-DC regulation principles and practical circuit implementation. * Proficiency with MS Office (Word, Excel, PowerPoint). * Must be a U.S. Person (Citizen or Permanent Resident) authorized to work in the United States. Preferred Qualifications * Experience with weight- and efficiency-critical designs (e.g., aerospace, defense, UAVs). * Background in hybrid power systems, gensets, and MIL-STD compliant systems (e.g., AMMPS). * Knowledge of CANBUS/MODBUS communication protocols. * Hands-on experience with PCB layout and design tools such as EAGLE or Altium. * Firmware development experience (C/C++ preferred). * Project management skills with experience coordinating across teams and with external stakeholders. Benefits * Flexible PTO to encourage work-life balance and personal well-being * Comprehensive healthcare coverage: medical, dental, and vision plans * Equity participation: RSUs for all permanent employees * 401(k) with match: 100% up to 3%, plus 50% match for 3-5% range * Growth opportunities: Mentorship, training, and leadership development Our Culture At LiquidPiston, we challenge convention and solve hard problems. We move fast, think boldly, and iterate quickly. Our team thrives on collaboration, creativity, and resilience. We take calculated risks and believe that every setback is a steppingstone toward breakthrough innovation. Equal Opportunity Employer LiquidPiston, Inc. is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, gender, sexual orientation, gender identity, national origin, or veteran status, and will not be discriminated against on the basis of disability. All offers of employment at LiquidPiston are contingent upon the successful completion of a pre-employment background check and drug screening.

At Mercor, we're building the talent engine that helps leading labs and research orgs move AI forward. Our latest initiative focuses on benchmarking and improving model performance and training speed across real ML workloads. If you're an early-career Machine Learning Engineer or an ML PhD who cares about innovation and impact, we'd love to meet you. ## What to Expect As a Machine Learning Engineer, you'll tackle diverse problems that explore ML from unconventional angles. This is a remote, asynchronous, part-time role designed for people who thrive on clear structure and measurable outcomes. - **Schedule:** Remote and asynchronous-set your own hours - **Commitment:** ~20 hours/week - **Duration:** Through December 22nd, with potential extension into 2026 ## What You'll Do - Draft detailed natural-language plans and code implementations for machine learning tasks - Convert novel machine learning problems into agent-executable tasks for reinforcement learning environments - Identify failure modes and apply golden patches to LLM-generated trajectories for machine learning tasks ## What You'll Bring - **Experience:** 0-2 years as a Machine Learning Engineer or a PhD in Computer Science (Machine Learning coursework required) - **Required Skills:** Python, ML libraries (XGBoost, Tensorflow, scikit-learn, etc.), data prep, model training, etc. - **Bonus:** Contributor to ML benchmarks - **Location:** MUST be based in the United States ## Compensation & Terms - **Rate:** $80-$120/hr, depending on region and experience - **Payments:** Weekly via Stripe Connect - **Engagement:** Independent contractor ## How to Apply 1. Submit your resume 2. Complete the System Design Session (< 30 minutes) 3. Fill out the Machine Learning Engineer Screen (engineering, and research use Mercor to work on frontier projects shaping the next era of AI.