Research and development engineer jobs in Plainfield, NJ

City: NYC, NY/ Orlando, FL Onsite/ Hybrid/ Remote: Hybrid (2 days a week onsite - Mondays and Thursdays) Duration: 6 months (high potential for extension or conversion) Rate Range: Up to$85.5/hr on W2 depending on experience (no C2C or 1099 or sub-contract) Work Authorization: GC, USC, All valid EADs except OPT, CPT, H1B Must Have: Strong SQL and Python programming experience Experience with Snowflake (data storage, query optimization) Proficiency with Docker for containerized development Experience with data pipelines and transformation workflows (ETL/ELT) Familiarity with media data (Nielsen, Adobe Analytics, or Comscore preferred) Strong understanding of backend or data engineering principles Bachelor's degree in Computer Science, Engineering, or related field Responsibilities: Develop and sustain backend systems and data workflows for media forecasting applications. Write production-level SQL and Python code to support analytical and web-based applications. Collaborate with Data Engineering, Decision Science, and App Engineering teams to maintain datasets powering key forecasting tools. Design, build, and optimize transformation logic connecting disparate data sources. Support the ongoing development and sustainment of an internal forecasting platform used across multiple business units. Participate in Agile sprint cycles, assisting with prioritization, task management, and technical implementation. Ensure data quality, operational stability, and timely delivery of enhancements. Qualifications: 5+ years of experience in software/data engineering or data product development. Hands-on experience with SQL, Python, Docker, and version control (Git). Familiarity with Snowflake, Airflow, or other cloud-based data orchestration tools. Excellent analytical and communication skills to collaborate across data, science, and application teams. Proven ability to manage both sustainment tasks and new feature development in parallel. Bachelor's degree required. Nice to Have: Media, entertainment, or advertising analytics experience (linear or digital). Exposure to AWS modules (S3, EC2, EMR) and cloud data ecosystems. Experience integrating data with business-facing applications. Understanding of forecasting, viewership analytics, or revenue management systems.

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.

As part of Technology, you'll have the opportunity to contribute to groundbreaking initiatives that shape Client's digital landscape. Leverage cutting-edge technologies like Generative AI to increase productivity, streamline processes, and create seamless experiences for clients, agents, and employees. Your expertise fuels innovation, agility, and growth - driving the company's success. Role Overview: As a Senior Salesforce Developer Engineer (PF4), you will serve as a technical lead, driving the design, development, and implementation of complex Salesforce solutions that advance Client's strategic technology initiatives. You will collaborate closely with architects, business partners, and data teams to deliver secure, scalable, and high-performing applications across a shared Salesforce platform supporting multiple lines of business. This role also involves integrating Salesforce with AWS services and other enterprise systems to enable data-driven decision-making and intelligent automation. What You'll Do: 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. What You'll Bring: 7-10 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 (Lambda, S3, 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. Must-Have Skills & Experience: 7-10 years of senior-level Salesforce development experience. Expertise in Apex, LWC, Flow Builder, and Salesforce event-driven architecture. Strong integration experience with Salesforce APIs, MuleSoft, and AWS services. Proficiency in JavaScript, React.js, and TypeScript. Experience with CI/CD pipelines (GitHub, Jenkins) and DevOps practices. Excellent communication skills for collaboration with offshore teams and SCRUM leadership. Ability to adapt and learn new technologies beyond Salesforce. Preferred Skills: Preferred Certifications: Application Architect/System Architect. Experience with AWS infrastructure tools & practices. Familiarity with event-driven architectures and data streaming frameworks (e.g., Kafka, Event Bus). Skills & Certifications: Bachelor's degree in Computer Science, Software Engineering, or related field. Salesforce Certifications: Salesforce Platform Developer I Salesforce Platform Developer II Salesforce JavaScript Developer I Salesforce Certified Sales Cloud Consultant Salesforce Certified Application Architect Salesforce Certified Platform Integration Architect Salesforce Certified Administrator Working knowledge of DevOps pipelines (GitHub Actions, Jenkins).

A financial firm is looking for a Senior ML Engineer - Knowledge Graph to join their team in New York, NY. Compensation: $200-275k This is a FT/Perm opportunity - No c2c/third party candidates Local candidates only Responsibilities Design and implement machine learning and knowledge graph pipelines that model, link, and canonicalize data across multimodal sources. Develop agentic AI systems that autonomously reason over structured and unstructured data-enabling self-correcting, context-aware entity intelligence. Integrate LLMs, retrieval-augmented generation (RAG), and multi-agent frameworks to enhance semantic reasoning, metadata enrichment, and decision-making. Collaborate closely with data science, infrastructure, and product partners to bring research ideas into production. Qualifications Required: M.S. or Ph.D. in Computer Science, Machine Learning, or related technical field. 10+ years of experience in machine learning or applied AI, including at least 2+ years in a technical or team lead role. Proven success leading end-to-end ML projects from research through deployment. Experience in supervised and RL model training, fine-tuning, and distillation. Experience with Agentic AI systems - building multi-agent workflows, LLM-based orchestration, or autonomous reasoning pipelines. Experience in Knowledge Graph construction, entity resolution, or semantic reasoning. Strong expertise in ML frameworks such as PyTorch, Hugging Face, LangGraph, or equivalent. Strong foundation in deep learning, NLP, and Generative AI (fine-tuning, RAG, and prompt-based orchestration). Deep proficiency in Python, with working knowledge of Java, Scala, or Go. Excellent communication and cross-functional collaboration skills. Preferred: Experience with distributed ML frameworks such as Ray, large-scale data pipelines, feature engineering systems. Familiarity with multimodal learning, ontology management, or data governance. Proven ability to align AI innovation with product and user impact. Passion for human-centered AI that balances creativity, privacy, and intelligence. Curiosity about emerging paradigms in self-organizing AI systems and autonomous knowledge representation.

Hello, We have 4 urgent openings for a "Principal Java Engineer ". These are hybrid roles in Jersey City, NJ (Hybrid - approximately 1 week onsite per month) Only looking for candidates who can work on W2 Strictly no C2C or third-party vendors Job title: Principal Java Engineer Client: Fidelity Title: Senior Java Engineer Location: Jersey City, NJ (Hybrid - approximately 1 week onsite per month) Duration: Long-term contract Rate: • $70 - $75/hr on 1099 • $75/hr on W2 Local candidates strongly preferred About the Role Fidelity is seeking an experienced Senior Java Engineer to join a high-performing engineering team responsible for building and enhancing cloud-native, high-performance backend systems. This role focuses on Core Java, AWS, and distributed microservices to support mission-critical financial platforms used across the organization. The ideal candidate is strong in backend development, cloud engineering, distributed databases, and large-scale system performance. Key Responsibilities • Design, develop, and optimize backend services using Core Java • Build and enhance microservices supporting high-throughput, low-latency financial workloads • Develop cloud-native solutions using AWS services such as Lambda, EC2, S3, CloudWatch, IAM, and API Gateway • Work extensively with distributed data stores including Cassandra for large-scale, resilient data processing • Implement RESTful APIs to support enterprise integration and platform connectivity • Ensure performance, scalability, security, and reliability across backend components • Collaborate closely with DevOps, QA, SRE, and Architecture teams • Participate in Agile ceremonies, code reviews, and engineering best-practice discussions • Troubleshoot production issues, optimize backend performance, and contribute to stability and resilience improvements • Support ongoing modernization, refactoring, and cloud-migration initiatives across Fidelity platforms Required Skills • Strong hands-on expertise in Core Java and backend engineering • Experience with AWS services (Lambda, EC2, S3, IAM, CloudWatch, SQS, etc.) • Hands-on experience with Cassandra or other distributed databases • Strong understanding of REST APIs, microservices, and distributed system patterns • Experience with CI/CD pipelines, containerization, and modern DevOps workflows • Solid debugging skills and ability to identify performance bottlenecks • Excellent communication and collaboration skills • Experience in financial services or large-scale enterprise environments is a plus ABOUT US: Anagh Technologies is a technical consulting firm specializing in UI, Front-End, and Full-Stack web technologies. We currently have 30+ positions in Angular, React, Node, and Java. If technically strong, we can 100% get you an offer within 2 weeks MAX, as we will consider you for multiple roles at once. If you are interested and are available, please email me your resume and contact information to arshad AT anaghtech.com. Thank you for your time.

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.

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

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

About This Role You will be leveraging your security operations experience to analyze and respond to security notifications, events, and inquiries. You will be performing initial triage of potential security incidents through log and data analysis to determine whether or not activity is a substantiated or valid threat, assessing severity and potential impact, taking pre-approved remediation measures to contain a threat, and escalating findings to investigators for further review and analysis. You will use your knowledge of cyber threats and the results of your analysis to coordinate with partner teams to improve threat detection through tuning and creation of new use cases, to improve capabilities through enriching existing data and creation of new data feeds, and to improve triage accuracy, consistency and timeliness through automation. This role plays a critical part in threat detection and response, ultimately reducing the likelihood of security breaches and protecting sensitive company information. Analyze and investigate activity on company devices that could represent a security threat Work cross-functionally with the Security teams to develop solutions for analyzing security events at scale and protecting Bask networks, systems, and data Interpret disparate data sources to report on trends and support investigative requests Collect requirements for enhancements to detection models and response systems Leverage existing systems and data to perform analyses and promote process improvements Provide actionable insights to help identify, prevent, detect, and respond to anomalous or potentially malicious user activity Collaborate effectively with teammates, lead projects, mentor others, and develop and champion quality operational standards across the team Provide expert technical guidance on threat detection and penetration testing methodologies. Drive the organizational security vision by prioritizing and overseeing the execution of projects aligned with our security roadmap. Collaborate cross-functionally with security engineering teams to enhance detection systems, implement countermeasures, and ensure comprehensive protection of Stripe's networks, systems, and data. Develop, document, and implement strategies, playbooks, and capabilities to advance our threat detection and penetration testing functions. Continuously improve security processes by integrating feedback from penetration tests and threat detection activities into our security architecture. Coach and mentor individual contributors, championing a culture of learning and excellence within the team. Oversee employee onboarding and offboarding - creating and deactivating accounts, managing permissions, and ensuring smooth transitions. Maintain and improve SSO / identity management across platforms (Okta, Google SSO, etc.). Enforce IT security standards: MFA, password policies, VPNs, credential rotation, and endpoint protection. Requirements 5+ years experience in information technology or cyber security roles including security operations/incident response 2+ years experience analyzing large data sets to solve problems and/or manage projects related to security event triage and/or workplace investigations B.S. or M.S. in Cyber Security and Information Assurance, Data Analytics, Computer Science or related field, or equivalent experience Working knowledge of SQL Experience managing Google Workspace, SSO, and IAM systems. Basic knowledge of scripting or programming in Python and Kali Linux Advanced Javascript knowledge (2+ years) Working knowledge of AWS Lambda, EventBridge, DynamoDB, and SQS Proven experience with log querying and analysis (e.g. first or third party applications, system / data access, event logs), digital forensics, or incident response using one or more industry standard SIEM Platforms (Splunk, Sentinel, Chronicle, Elastic, etc.) Proficiency using analytical methods to inform detection systems or guide strategic response Strong cross-functional collaboration and written/verbal communication skills Ability to think creatively and holistically about identifying and reducing risk in a complex environment High level of judgment, objectivity, and discretion Preferred Qualifications Prior experience working with high volume data in a security operations environment Experience with data processing and analysis tools (e.g. Jupyter Notebooks, Databricks) An adversarial mindset, understanding the goals, behaviors, and TTPs of threat actors Ability to leverage threat intelligence and/or hunting concepts in an enterprise environment Experience in one or more of the following areas: user and entity behavior analytics (UEBA), SOAR/security automation, security information event management (SIEM), data loss prevention (DLP), Information Security, or Data Privacy One or more security certifications through a recognized industry provider: GIAC, ISACA, ISC2, OffSec, CompTIA, etc.

Sartre Group are partnered with one of the top-performing hedge funds of the last two years looking to capitalise on great returns and grow the business. As part of this growth, they are looking to strengthen their internal platform starting with hiring a Principal Engineer into their Profit & Loss systems team. You would be joining this team tasked with serving as the primary point of contact for P&L systems for the wider business, playing an instrumental part in driving strategy for enhancements. You'll work on: Collaborating with the wider business to design and develop a strategic roadmap with regards to P&L systems. Ensuring that platforms are delivering precise capture of positions, valuations and pricing across all asset classes. Deliver actionable insights from system outputs to support business decisions, performance analysis and reporting. Hands-on development of platform enhancements from concept to deployment. They're looking for: 10+ years experience in Software Development within Buy-Side businesses. Deep expertise in P&L systems with proven track record in ownership, governance and strategic improvements. Proficient in Hedge Fund pricing strategies and financial data systems. Thorough understanding of middle and back office operations covering trade settlement, reconciliation, risk, accounting & compliance. Tech stack includes Java & SQL. This is an urgent hire & our client will interview as soon as possible so if you're a strong Profit & Loss systems engineer with experience in Java & SQL, apply now to learn more about the role, business and team.

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.

Senior MLOps Engineer (Hybrid - NYC) Pumex Computing is supporting a leading global technology organization in hiring a Senior MLOps Engineer to drive the next generation of cloud-native, AI-powered platforms. In this role, you'll design and scale the ML infrastructure that powers intelligent applications used by millions. You'll work at the intersection of ML Engineering, DevOps, and Cloud Platform Architecture taking machine learning models from research to secure, scalable real-world deployment. What You'll Do Lead design and automation of end-to-end MLOps pipelines: model training, deployment, versioning, and monitoring Build and operate production ML services on Kubernetes (GKE) Develop high-performance Python APIs using FastAPI or Flask to serve ML models and platform services Architect scalable cloud environments using Google Cloud Platform (GCP) Own CI/CD workflows (GitHub Actions) and infrastructure automation (Terraform / Helm / Crossplane) Build data ingestion and transformation pipelines supporting ML workloads (Airflow / Dagster) Implement advanced monitoring & observability (Prometheus, Grafana, Cloud Logging) Apply security best practices across cloud, data, and service layers Collaborate with Data Science & Engineering teams; mentor junior engineers What You Bring 5+ years in Cloud, DevOps, or Data Engineering roles 2+ years hands-on MLOps experience in production environments Deep Python expertise for API development, automation, and ML pipelines Experience deploying containerized services with Docker & Kubernetes Strong knowledge of GCP (BigQuery, Vertex AI, GCS, Pub/Sub preferred) CI/CD pipeline experience (GitHub Actions) Infra-as-Code (Terraform) & config-as-code (Helm / Crossplane) Data pipeline experience (Airflow or Dagster) Strong communication and problem-solving abilities Compensation & Details Location: Hybrid - New York City Full-time, long-term engagement Competitive compensation + benefits (details shared during intro call)

Project Description The project is based on developing and operating inter-dealer marketplace, which is an innovative platform that provides users with fast, efficient price discovery and electronic execution. Compensation 9k-11k USD per month Responsibilities - Design and develop the connectivity engine in FIX - Triage critical production issues - Provide rapid response during trading system incidents - Design and implement a global, real-time interactive trading system Skills Description 3+ years of experience developing and operating FIX trading components 5+ years developing production software in Java 3+ years developing electronic trading technology software Full-time Hybrid for NY only - 3 days/week in the office and 2 days/week remote remotely Dublin or people who can work EST as well - Design and develop efficient, defect-free code under tight time constraints - Exceptional analysis and triage of real-time production systems - Clear, concise and accurate written communication skills - Strong work ethic and an entrepreneurial spirit; thrive in a high-pressure environment - Willingness to learn

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.

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 (research organizations. Our investors include **Benchmark, General Catalyst, Adam D'Angelo, Larry Summers, and Jack Dorsey**. Thousands of professionals across law, creative fields, 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

Title: Jr. Cybersecurity Engineer Job Type: Contract 7+ months Work Mode: Onsite in NYC Pay Rate Range: $50-$57 an hour based on experience Interview Mode: 1-2 rounds, likely to be in person Job Overview: This Fortune 500 Utilities Company is looking for a Jr. Cybersecurity Engineer with expertise in endpoint security technologies to join their team. The ideal candidate will be responsible for deploying, managing, and optimizing security tools across enterprise endpoints. This role focuses on ensuring robust protection against threats through advanced solutions such as Antivirus (AV), Endpoint Detection & Response (EDR), Cyber Asset Attack Surface Management (CAASM), and Vulnerability Management platforms. Key Responsibilities: Endpoint Security Deployment & Management Implement and maintain enterprise-grade AV and EDR solutions across all endpoints. Configure policies, rules, and alerts to ensure optimal security posture. Monitor and troubleshoot endpoint security tools for performance and compliance. Experience with Windows Defender Attack Path remediation and exposure management Vulnerability Management Conduct regular vulnerability scans and assessments. Collaborate with IT and application teams to remediate identified vulnerabilities. Maintain vulnerability management dashboards and reporting. Cyber Asset Attack Surface Management (CAASM) Integrate CAASM tools to identify and manage all assets within the environment. Ensure accurate asset inventory and risk prioritization. Incident Response & Threat Hunting Investigate and respond to endpoint security alerts and incidents. Perform root cause analysis and recommend preventive measures. Perform an investigation using SIEM tool such as Splunk Policy & Compliance Develop and enforce endpoint security standards and best practices. Ensure compliance with regulatory and organizational security requirements. Automation & Optimization Identify opportunities to automate repetitive security tasks. Optimize configurations for performance and security effectiveness. Requirements: Bachelor's degree in Computer Science, Cybersecurity, or related field (or equivalent experience). 3+ years of experience in cybersecurity engineering with a focus on endpoint security. Hands-on experience with AV and EDR platforms (e.g., CrowdStrike, SentinelOne, Microsoft Defender). Familiarity with CAASM tools and vulnerability management solutions (e.g., Tenable, Qualys). Strong understanding of Windows, mac OS, and Linux endpoint environments. Knowledge of incident response processes and threat detection techniques. Excellent problem-solving and communication skills. Prefered Skills: Utility Experience: Leverage utility industry experience to enhance solutions and contribute to industry-specific initiatives. Relevant certifications (e.g., CISSP, CEH, CompTIA Security+). Experience with scripting and automation (PowerShell, Python). Exposure to SIEM platforms and integration with endpoint tools.

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.

Do you want to make a difference in the world? Do you want to help save lives? Come start or continue your career with us! MICRO is a contract manufacturer providing services for companies engaged in life-saving products and solutions. MICRO offers an excellent benefits package, compensation higher than industry average and a full complement of training programs dedicated to give our employees the skills and knowledge required to achieve their career goals. Salary commensurate with experience and skills. So don't settle for a job when you can have a career that makes a difference! MICRO offers intern opportunities in a variety of areas including; The Quality Engineering co-op is responsible for providing support to the quality engineering group with regard to investigating nonconforming product or processes, improving communication of quality expectations for products or processes and executing continual improvement project tasks. The New Product Development Engineering co-op is responsible to assist Project Engineers in the development and validation of new products and processes at Micro. The Process Development Engineering co-op is responsible for providing engineering support to the New Process Development team to implement projects for new and existing manufacturing processes to drive efficiency and cost reductions. The Design Engineering co-op assists in the development and design of tools, fixtures and other devices used for production based on engineering specifications. The Process Engineering co-op is responsible to ensure the manufacturing processes are efficient, cost effective, meet Micro's quality standards and yield products per customer specifications. EDUCATION AND EXPERIENCE College student with 1-3 years of college education in an Engineering discipline Strong verbal and written communication skills as well as strong interpersonal skills are required Must have strong organizational skills, ability to meet deadlines, thrive in a fast-paced environment and be able to problem solve effectively.