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Distinguished Engineer - Network Connectivity As a Distinguished Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud. You will work alongside our talented team of developers, machine learning experts, product managers and people leaders. Our Distinguished Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels, helping optimize business outcomes while driving towards strong technology solutions. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. You will promote a culture of engineering excellence, and strike the right balance between lending expertise and providing an inclusive environment where the ideas of others can be heard and championed. You will lead the way in creating next-generation talent for Capital One Tech, mentoring internal talent and actively recruiting to keep building our community. Distinguished Engineers are expected to lead through technical contribution. You will operate as a trusted advisor for our key technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other material to share knowledge both inside and outside the organization, inclusive of producing MVP's through direct hands-on software contributions. You will specialize in a particular subject area, but your input and impact will be sought and expected throughout the organization. The Distinguished Engineer will be a part of the Connectivity Evolution organization focusing on driving strategy and best practices around the enterprise network agenda & infrastructure automation, while collaborating across domains with Cyber, Cloud and Software Engineering teams. Expertise with the following technologies are ideal for success in the role: IP networks ranging Cloud Networks, BGP, IS-IS, SD-WAN, VxLAN, Wi-Fi with software tools like Ansible, Python, Saltstack, etc. If you are ready to provide thought leadership and build engineering excellence across Capital One's engineering teams, come join us in our mission to change banking for good. Key responsibilities: * Articulate and evangelize a bold technical vision for your domain * Decompose complex problems into practical and operational solutions * Ensure the quality of technical design and implementation * Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability and operability * Continue learning and injecting advanced technical knowledge into our community * Handle several projects simultaneously, balancing your time to maximize impact * Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community Capital One is open to hiring a remote employee for this opportunity. * Bachelor’s Degree * At least 7 years of experience in Software Development or Software Engineering * At least 5 years of experience in Network Engineering designing and implementing multi-site networks * Bachelor's or Master's Degree in Computer Science or a related field * 10+ years of Software Engineering or Software Development experience * 10+ years of professional experience coding in commonly used languages like Java, Python, Go, JavaScript/TypeScript, Swift, etc. * 10+ years of experience with Networking (BGP, Wi-Fi, SD-WAN, Cloud Networking and Data Center Networking) * 10+ years of professional experience in the full lifecycle of system development, from conception through architecture, implementation, testing, deployment and production support * 7+ years of experience in building distributed systems & highly available services using cloud computing services (AWS, GCP, Azure) * 3+ years of experience with IPv6 implementation in the Cloud Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $239,900 - $273,800 for Distinguished Engineer McLean, VA: $263,900 - $301,200 for Distinguished Engineer New York, NY: $287,800 - $328,500 for Distinguished Engineer Plano, TX: $239,900 - $273,800 for Distinguished Engineer Richmond, VA: $239,900 - $273,800 for Distinguished Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Role Description Mercor is hiring on behalf of a leading AI research lab to bring on a highly skilled Data Scientist with a Kaggle Grandmaster profile. In this role, you will transform complex datasets into actionable insights, high-performing models, and scalable analytical workflows. You will work closely with researchers and engineers to design rigorous experiments, build advanced statistical and ML models, and develop data-driven frameworks to support product and research decisions. * * * ## What You’ll Do - Analyze large, complex datasets to uncover patterns, develop insights, and inform modeling direction - Build predictive models, statistical analyses, and machine learning pipelines across tabular, time-series, NLP, or multimodal data - Design and implement robust validation strategies, experiment frameworks, and analytical methodologies - Develop automated data workflows, feature pipelines, and reproducible research environments - Conduct exploratory data analysis (EDA), hypothesis testing, and model-driven investigations to support research and product teams - Translate modeling outcomes into clear recommendations for engineering, product, and leadership teams - Collaborate with ML engineers to productionize models and ensure data workflows operate reliably at scale - Present findings through well-structured dashboards, reports, and documentation * * * ## Qualifications - Kaggle Competitions Grandmaster or comparable achievement: top-tier rankings, multiple medals, or exceptional competition performance - 3–5+ years of experience in data science or applied analytics - Strong proficiency in Python and data tools (Pandas, NumPy, Polars, scikit-learn, etc.) - Experience building ML models end-to-end: feature engineering, training, evaluation, and deployment - Solid understanding of statistical methods, experiment design, and causal or quasi-experimental analysis - Familiarity with modern data stacks: SQL, distributed datasets, dashboards, and experiment tracking tools - Excellent communication skills with the ability to clearly present analytical insights * * * ## Nice to Have - Strong contributions across multiple Kaggle tracks (Notebooks, Datasets, Discussions, Code) - Experience in an AI lab, fintech, product analytics, or ML-focused organization - Knowledge of LLMs, embeddings, and modern ML techniques for text, images, and multimodal data - Experience working with big data ecosystems (Spark, Ray, Snowflake, BigQuery, etc.) - Familiarity with statistical modeling frameworks such as Bayesian methods or probabilistic programming * * * ## Why Join - Gain exposure to cutting-edge AI research workflows, collaborating closely with data scientists, ML engineers, and research leaders shaping next-generation analytical systems. - Work on high-impact data science challenges while experimenting with advanced modeling strategies, new analytical methods, and competition-grade validation techniques. - Collaborate with world-class AI labs and technical teams operating at the frontier of forecasting, experimentation, tabular ML, and multimodal analytics. - Flexible engagement options (30-40 hrs/week or full-time) — ideal for data scientists eager to apply Kaggle-level problem-solving to real-world, production analytics. - Fully remote and globally flexible work structure — optimized for deep analytical work, async collaboration, and high-output research.

Job Description: AI Task Evaluation & Statistical Analysis Specialist ## Role Overview We're seeking a data-driven analyst to conduct comprehensive failure analysis on AI agent performance across finance-sector tasks. You'll identify patterns, root causes, and systemic issues in our evaluation framework by analyzing task performance across multiple dimensions (task types, file types, criteria, etc.). ## Key Responsibilities - Statistical Failure Analysis: Identify patterns in AI agent failures across task components (prompts, rubrics, templates, file types, tags) - Root Cause Analysis: Determine whether failures stem from task design, rubric clarity, file complexity, or agent limitations - Dimension Analysis: Analyze performance variations across finance sub-domains, file types, and task categories - Reporting & Visualization: Create dashboards and reports highlighting failure clusters, edge cases, and improvement opportunities - Quality Framework: Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings - Stakeholder Communication: Present insights to data labeling experts and technical teams ## Required Qualifications - Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing, and pattern recognition - Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis - Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets - AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics - Tools: Comfortable working with Excel, data visualization tools (Tableau/Looker), and SQL ## Preferred Qualifications - Experience with AI/ML model evaluation or quality assurance - Background in finance or willingness to learn finance domain concepts - Experience with multi-dimensional failure analysis - Familiarity with benchmark datasets and evaluation frameworks - 2-4 years of relevant experience

What You’ll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems U

What You’ll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems U

McLean, VA: $158,600 - $181,000 for Senior Software Engineer Plano, TX: $144,200 - $164,600 for Senior Software Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the

Opportunity The Role We’re looking for a Senior Data Scientist with strong skills in simulation modeling, mathematical optimization, and sensor data analysis. This is a hands-on, high-impact role where you will develop analytical solutions for real-world defense scenarios — from optimizing aircraft maintenance schedules to analyzing live sensor data from naval vessels. You’ll be joining a cross-functional team that builds scalable, data-driven products supporting mission readiness and capability management. If you enjoy combining discrete-event simulation, CPLEX optimization, and sensor analytics to answer hard operational questions, this job will suit you well. Your mission Key Responsibilities: Simulation Modeling • Design and develop discrete-event simulations using SimPy (or similar) to model logistics chains, maintenance workflows, and operational bottlenecks., • Build simulation components that reflect real-world systems, allowing for stress testing and what-if scenarios.Optimization (CPLEX), • Build and solve optimization models using IBM CPLEX., • Translate complex operational needs — such as scheduling, resource allocation, or planning — into mathematical formulations., • If you’ve used Gurobi or other solvers before, that's fine — but you’ll need to work with CPLEX here.Sensor Data Analytics, • Analyze high-volume, high-frequency sensor data from military platforms (air, land, sea)., • Extract signals, detect anomalies, and engineer features for predictive modeling., • Combine time-series analytics with simulation and optimization outputs to inform decision-making.Engineering & Collaboration, • Write clean, modular Python code with attention to performance and reproducibility., • Collaborate with data engineers, full-stack developers, and domain experts to productionize your models., • Share knowledge across teams and contribute to internal tooling and frameworks. Your capabilities What We’re Looking For/ Required Skills • 5+ years of experience in Data Science, Operations Research, or a similar role., • Strong coding skills in Python, including libraries like pandas, NumPy, matplotlib, scikit-learn., • Solid experience with SimPy or any other discrete-event simulation library or tool., • Practical experience formulating and solving optimization models with IBM CPLEX (knowledge of other solvers is welcome, but CPLEX is what we use)., • Experience working with sensor or time-series data in an applied setting., • Strong problem-solving mindset — you enjoy turning ambiguous situations into concrete analytical approaches.Bonus Experience, • Background in logistics, maintenance planning, systems engineering, or defense operations., • Experience with containerized development (Docker) or distributed data tools (e.g., Apache Spark)., • Exposure to digital twins, operational dashboards, or predictive maintenance applications., • Familiarity with working in secure or regulated environments (defense, aviation, etc.). Land @ILIAS Exited and ready to explore how you could fit in? Apply directly or reach out to ___ for any questions. we are thrilled to get to know you! About us ILIAS Solutions offers exciting opportunities to shape the future of armed forces operations. As a global leader in defense logistics software, we empower military commanders worldwide to optimize operations, training, and missions. Our innovative platform covers the entire armed forces value chain, ensuring efficient execution and capturing vital information. As we continue to grow, we are looking for talented reinforcement who will make a difference every day. Join our international team and make an impact on global security.

Data Scientist/Sr. Data Scientist Fort Worth, TX Employer Nature of Business Commercial airline carrier Job Number Salary Not provided Description openings for a Data Scientist/Sr. Data Scientist to perform the following duties: Gather data from various analytical databases and sources, and implement advanced statistical methodologies to optimize American Airlines’ operations; Obtain, manipulate, clean, and analyze structured and unstructured data from diverse sources; Conductexploratoryanalysesincluding hypothesis testing,statistical inference and statistical analysis (predictiveand/or prescriptive); Partner with business and technical stakeholders to translatechallenging retailbusiness problemsintostate-of-the-art data sciencesolutions; Work with other teams across the organization to integrate and centralize customer data for analytics purposes to increase customer knowledge across the organization, including but not limited to third party data, digital behavior, operational metrics, etc.; Deploy models as proofs-of-concept or fully productionized implementations; Develop, analyze, and evaluate customer centric metrics that incorporate customer attributes and behaviors holistically and allow the company to better understand customer value; Collaborate cross-functionally across workgroups to add customer insights leading to better decisions; Select appropriate analytical tools and write analytics-based code and queries to generate outputs supporting strategy and decision-making; Identify and assess opportunities to leverage new technologies and collaborate with external vendors to enhance customer understanding. Work Schedule: 40 hours per week/8 a.m.-5 p.m./M-F. Job Location: Fort Worth, TX Experience qualifications 2 years of experience as Analyst or any occupation in which the required experience was gained, and demonstrated experience in: Business analysis; Reporting and data analysis for sales or service teams; Advanced MS Excel and PowerPivot skills to model large amounts of data; Data visualization and reporting on Tableau or Microsoft Power BI; Statistics and forecast modeling; Statistical and descriptive concepts and methodologies; SQL or related data querying and manipulating tool; Strong knowledge of quantitative analysis using Python; Pulling and analyzing data from complex and big data sources; Strong economic and market analysis skills; Strong analytical skills with work experience in dynamic environment; Demonstrated ability to solve and to lead others in solving complex analytical problems; Competitive analysis; Database management systems, data structuring, and data architecture; Machine learning methods including correlation, clustering, segmentation, and regression; Machine learning algorithms including XGboost, KNN Neighbors, and Random Forest; Data extraction, cleaning, and analysis; Cloud Computing or Distributed Computing; Azure Databricks or Spark. Educational requirements Master’s degree in Business Analytics, Operations Research, or related field.

Data Scientist/Sr. Data Scientist Fort Worth, TX Employer Nature of Business Commercial airline carrier Job Number Salary Not provided Description openings for a Data Scientist/Sr. Data Scientist to perform the following duties: Gather data from various analytical databases and sources, and implement advanced statistical methodologies to optimize operations; Obtain, manipulate, clean, and analyze structured and unstructured data from diverse sources; Conduct exploratory analyses including hypothesis testing, statistical inference and statistical analysis (predictive and/or prescriptive); Partner with business and technical stakeholders to translate challenging retail business problems into state-of-the-art data science solutions; Work with other teams across the organization to integrate and centralize customer data for analytics purposes to increase customer knowledge across the organization, including but not limited to third party data, digital behavior, operational metrics, etc.; Deploy models as proofs-of-concept or fully productionized implementations; Develop, analyze, and evaluate customer centric metrics that incorporate customer attributes and behaviors holistically and allow the company to better understand customer value; Collaborate cross-functionally across workgroups to add customer insights leading to better decisions; Select appropriate analytical tools and write analytics-based code and queries to generate outputs supporting strategy and decision-making; Identify and assess opportunities to leverage new technologies and collaborate with external vendors to enhance customer understanding. Work Schedule: 40 hours per week/8 a.m.-5 p.m./M-F. Job Location: Fort Worth, TX Experience qualifications 2 years of experience as Analyst or any occupation in which the required experience was gained, and demonstrated experience in: Business analysis; Reporting and data analysis for sales or service teams; Advanced MS Excel and PowerPivot skills to model large amounts of data; Data visualization and reporting on Tableau or Microsoft Power BI; Statistics and forecast modeling; Statistical and descriptive concepts and methodologies; SQL or related data querying and manipulating tool; Strong knowledge of quantitative analysis using Python; Pulling and analyzing data from complex and big data sources; Strong economic and market analysis skills; Strong analytical skills with work experience in dynamic environment; Demonstrated ability to solve and to lead others in solving complex analytical problems; Competitive analysis; Database management systems, data structuring, and data architecture; Machine learning methods including correlation, clustering, segmentation, and regression; Machine learning algorithms including XGboost, KNN Neighbors, and Random Forest; Data extraction, cleaning, and analysis; Cloud Computing or Distributed Computing; Azure Databricks or Spark. Educational requirements Masters degree in Business Analytics, Operations Research, or related field.

THE COMPANY We are an ambitious, well-funded, high-growth global technology company transforming the hotel industry. At Duetto, we are passionate about creating innovative analytical solutions to help hoteliers thrive. Although we work hard, the work atmosphere is casual, flexible, collaborative, and most of all, fun. Duetto offers an open and collaborative work environment and believes that by cultivating a team with diverse backgrounds, perspectives, and experiences, it will continue to lead the industry with its cutting-edge platform-based hospitality technology. Introduction We are seeking a Machine Learning Engineer to help build and scale our machine learning infrastructure and workflows. At Duetto, you’ll take on the unique challenge of supporting the development, training, deployment, and monitoring of thousands of machine learning models, one for each hotel customer. You’ll work closely with data scientists, DevOps, and platform engineers to deliver robust, reusable tooling for the entire ML lifecycle—including training pipelines, inference APIs, feature workflows, and monitoring hooks—within our AWS-native environment. Your work will help us ensure that ML models are delivered quickly, reliably, and cost-effectively into production. This is an opportunity to build ML systems at scale, contribute to the design of modern ML infrastructure on top of AWS and Kubernetes, and shape the future of machine learning at Duetto. Key Responsibilities: • Develop, maintain, and scale machine learning pipelines for training, validation, and batch or real-time inference across thousands of hotel-specific models., • Build reusable components to support model training, evaluation, deployment, and monitoring within a Kubernetes- and AWS-based environment., • Partner with data scientists to translate notebooks and prototypes into production-grade, versioned training workflows., • Implement and maintain feature engineering workflows, integrating with custom feature pipelines and supporting services., • Collaborate with platform and DevOps teams to manage infrastructure-as-code (Terraform), automate deployment (CI/CD), and ensure reliability and security., • Integrate model monitoring for performance metrics, drift detection, and alerting (using tools like Prometheus, CloudWatch, or Grafana)., • Improve retraining, rollback, and model versioning strategies across different deployment contexts., • Support experimentation infrastructure and A/B testing integrations for ML-based products. Qualifications: • 3+ years of experience in ML engineering or a similar role building and deploying machine learning models in production., • Strong experience with AWS ML services (SageMaker, Lambda, EMR, ECR) for training, serving, and orchestrating model workflows., • Hands-on experience with Kubernetes (e.g., EKS) for container orchestration and job execution at scale., • Strong proficiency in Python, with exposure to ML/DL libraries such as TensorFlow, PyTorch, scikit-learn., • Experience working with feature stores, data pipelines, and model versioning tools (e.g., SageMaker Feature Store, Feast, MLflow)., • Familiarity with infrastructure-as-code and deployment tools such as Terraform, GitHub Actions, or similar CI/CD systems., • Experience with logging and monitoring stacks such as Prometheus, Grafana, CloudWatch, or similar., • Experience working in cross-functional teams with data scientists and DevOps engineers to bring models from research to production., • Strong communication skills and ability to operate effectively in a fast-paced, ambiguous environment with shifting priorities. About Duetto: Duetto delivers a suite of SaaS cloud-native applications for hospitality businesses to optimize every booking opportunity for greater revenue impact. The unique combination of hospitality experience and technology leadership drives Duetto to look for innovative solutions to industry challenges. The software as a service platform allows hotels, casinos, and resorts to leverage real-time dynamic data sources and actionable insights into pricing and demand across the enterprise. For more information, please visit ___.

Mercor is hiring experienced Python Engineers to support a variety of high-impact research collaborations with leading AI labs. Freelancers will help improve AI systems through work extending coding benchmarks that reflect real-world development across diverse languages and domains. This is a unique opportunity to apply your engineering expertise toward shaping the next generation of intelligent systems. Key Responsibilities - Develop and validate coding benchmarks in Python by curating issues, solutions, and test suites from real-world repositories - Ensure benchmark tasks include comprehensive unit and integration tests for solution verification - Maintain consistency and scalability of benchmark task distribution - Provide structured feedback on solution quality and clarity - Debug, optimize, and document benchmark code for reliability and reproducibility Ideal Qualifications - 3–10 years of experience as a backend software engineer, ML engineer, or applied data scientist - Degree in Software Engineering, Computer Science, or a related field - Strong proficiency in Python - Experience with debugging, testing, and validating code - Comfortable with technical writing and attention to detail Project Timeline - Start Date: Immediate - Duration: 1 month - Commitment: Part-time (15–20 hours/week) - Schedule: Fully remote and asynchronous – flexible working hours Compensation & Contract - $80 per hour plus lucrative bonus per approved task (1 task takes approximately 1 hour to complete) - Median average pay inclusive of bonuses is $200/hr - Independent contractor - Daily payment via Stripe Connect Application & Onboarding Process - Upload your resume - AI interview: A short, 15-minute conversational session to understand your background, experience, and interest in the role - Brief assessment testing real-world coding ability, technical depth, and debugging approach - Follow-up communication within a few days with next steps and onboarding details About Mercor Mercor is a San Francisco-based company specializing in connecting elite professionals with cutting-edge AI initiatives. Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. Thousands of professionals across engineering, research, and creative fields have partnered with Mercor on frontier projects shaping the future of AI. Apply today and leverage your software engineering expertise to help build the future of AI-driven systems!

Mercor is partnering with a top AI research organization to evaluate and improve how coding assistants reason, act, and communicate during development workflows. We’re seeking technically sharp experts (especially those with experience in code review, testing, or documentation) to assess full transcripts of user–AI coding conversations. This short-term, fully remote engagement helps shape the future of developer-assisting AI systems. Key Responsibilities • Review long-form transcripts between users and AI coding assistants • Analyze the AI’s logic, execution, and stated actions in detail • Score each transcript using a 10-point rubric across multiple criteria • Optionally write brief justifications citing examples from the dialogue • Detect mismatches between claims and actions (e.g., saying “I’ll run tests” but not doing so) Ideal Qualifications Top choices: • Senior or Staff Engineers with deep code review experience and execution insight • QA Engineers with strong verification and consistency-checking habits • Technical Writers or Documentation Specialists skilled at comparing instructions vs. implementation Also a strong fit: • Backend or Full-Stack Developers comfortable with function calls, APIs, and test workflows • DevOps or SRE professionals familiar with tool orchestration and system behavior analysis Languages and Tools: • Proficiency in Python is helpful (most transcripts are Python-based) • Familiarity with other languages like JavaScript, TypeScript, Java, C++, Go, Ruby, Rust, or Bash is a plus • Comfort with Git workflows, testing frameworks, and debugging tools is valuable More About the Opportunity • Remote and asynchronous — complete tasks on your own schedule • Must complete each transcript batch within 5 hours of starting (unlimited tasks to be done) • Flexible, task-based engagement with potential for recurring batches Compensation & Contract Terms • Competitive hourly rates based on geography and experience • Contractors will be classified as independent service providers • Payments issued weekly via Stripe Connect Application Process • Submit your resume to begin • If selected, you’ll receive rubric documentation and access to the evaluation platform • Most applicants hear back within a few business days About Mercor • Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations • Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey • Thousands of professionals across law, engineering, and research contribute to frontier AI projects via Mercor

Mercor is seeking Mathematics PhDs for a premier project with one of the world's top AI labs. In this role, you will contribute your subject matter expertise to a cutting-edge project involving frontier large language models. Specifically, you will craft high-quality, challenging problems in your domain expertise with real-world applicability to inform the future of AI innovation. Ideal Qualifications: - Have a Masters or PhD in Mathematics from a top US university. - Have experience coding in Python, MATLAB for projects or research. - Have field-specific experience in Numerical linear Algebra, Computational Mechanics, or Computational Finance - Have high attention to detail. - Have exceptional written and verbal communication skills. - Have excellent proficiency in English. - Are currently based in the U.S., Canada, New Zealand, UK, or Australia. Key Responsibilities: - You will work asynchronously with a team of highly qualified experts across your domain. - You will craft, solve, and review challenging problems with real world applicability. - The project is 15-20 hours of work per week with potential for increased hours and extension. - The work is fully remote and asynchronous. Role Start Date - This role will begin in late December with applications reviewed on a rolling basis. Interview Process - You will complete a short interview to assess your domain expertise. - You will be paid for up to 1 hour of onboarding time including the screening process and a few onboarding videos if you are hired. Compensation and Legal Details - You will be legally classified as an hourly contractor for Mercor. - You will be paid out at the end of each week via Stripe Connect. About Mercor Mercor connects elite creative and technical talent with leading AI research labs, headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Role Overview Mercor is collaborating with a leading AI research organization seeking exceptional early-career software engineers from the United States, United Kingdom, Canada, Australia, and New Zealand. This short-term engagement offers a unique opportunity to contribute to the development and optimization of advanced AI systems. Participants will work on high-impact engineering projects requiring strong technical execution, precision, and adaptability. This is a 2-week project-based contract ideal for independent contributors with strong software engineering fundamentals. ### Key Responsibilities - Evaluate and annotate code snippets, scripts, and software tasks for accuracy and quality. - Identify logical errors, inefficiencies, and improvements in code samples. - Provide structured feedback on programming logic, implementation, and clarity. - Work independently to meet daily annotation and review goals. - Maintain consistency and precision when applying labeling guidelines. ### Ideal Qualifications - Bachelor’s degree or equivalent experience in Computer Science, Software Engineering, or a related technical field. - Proficiency in more than one major programming language (Python, C++, Go, or Java). - Strong understanding of algorithms, data structures, debugging, and code analysis. - Exceptional analytical, communication, and problem-solving skills. - Prior experience working on structured software engineering evaluations or benchmarks is a plus. - Residency in one of the following regions: United States, United Kingdom, Canada, Australia, or New Zealand. ### More About the Opportunity - Fully remote and asynchronous — set your own schedule. - Expected commitment: 20–30 hours per week. - Project duration: approximately 2 weeks. - Short-term, high-intensity contract supporting cutting-edge AI development. ### Compensation & Contract Terms - Payments processed weekly via Stripe Connect. - Engagement structured as an independent contractor relationship. ### Application Process - Submit your resume and/or GitHub portfolio to begin. - Complete a required technical assessment as part of the selection process. - Applicants will be notified of next steps within 5–7 business days after submission. ### About Mercor - Mercor is a talent marketplace connecting top experts with leading AI labs and research organizations. - Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. - Thousands of professionals across engineering, research, law, and creative fields collaborate through Mercor on frontier projects shaping the next era of AI.

Mercor is seeking Biology PhDs for a premier project with one of the world's top AI labs. In this role, you will contribute your subject matter expertise to a cutting-edge project involving frontier large language models. Specifically, you will craft high-quality, challenging problems in your domain expertise with real-world applicability to inform the future of AI innovation. Ideal Qualifications: - Have a Masters or PhD in Biology from a top US university. - Have experience coding in Python, R for projects or research. - Have field-specific experience in Ecology, Biochemistry, or Genetics - Have high attention to detail. - Have exceptional written and verbal communication skills. - Have excellent proficiency in English. - Are currently based in the U.S., Canada, New Zealand, UK, or Australia. Key Responsibilities: - You will work asynchronously with a team of highly qualified experts across your domain. - You will craft, solve, and review challenging problems with real world applicability. - The project is 15-20 hours of work per week with potential for increased hours and extension. - The work is fully remote and asynchronous. Role Start Date - This role will begin in late December with applications reviewed on a rolling basis. Interview Process - You will complete a short interview to assess your domain expertise. - You will be paid for up to 1 hour of onboarding time including the screening process and a few onboarding videos if you are hired. Compensation and Legal Details - You will be legally classified as an hourly contractor for Mercor. - You will be paid out at the end of each week via Stripe Connect. About Mercor Mercor connects elite creative and technical talent with leading AI research labs, headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey.

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 (<5 minutes) ## Why Mercor Mercor is a talent marketplace connecting top experts with leading AI labs and 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.

Role Overview Mercor is seeking data scientists to support one of the world’s leading AI labs in building robust, high‑performance systems for next‑generation machine learning applications. In this role, you will focus on hands‑on data science tasks, such as designing experiments, gathering and preprocessing data, building and evaluating models, and collaborating closely with engineering teams to deploy production‑ready solutions. Ideal candidates should be proficient in Python (Jupyter Notebooks), familiar with machine learning frameworks like TensorFlow or PyTorch, and experienced in analyzing large datasets and building predictive models. In addition, you will write, review, and validate prompt‑based questions used to train AI systems. * * * You are a good fit if you: - Have over 3+ years of professional experience in data science or applied analytics. - Are highly skilled in Python and Jupyter notebooks. - Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. - Have a bachelor's degree in data science, statistics, computer science, or related field in the U.S., Canada, New Zealand, UK or Australia. - Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows and model evaluation, feature engineering/data preprocessing/data wrangling, or A/B testing/experimentation/causal inference. - Demonstrate excellent verbal and written communication skills. - Have strong attention to details. * * * ### More About the Opportunity - Commitment: 20–40 hours per week, with potential to scale up to 80 hours. - Structure: Fully remote and asynchronous - set your own schedule. - Duration: Minimum 1 months, with possible extension based on project scope and performance. - Start Date: Early September, with applications reviewed on a rolling basis. * * * ### Compensation & Contract Terms - Classified as an independent contractor for Mercor. - Hourly payments for services rendered, processed weekly via Stripe Connect. - Flexible terms based on location and expertise level. * * * ### Application Process - Submit your resume or project portfolio to get started. - Complete a brief form outlining your technical background and agent usage experience. - Applications are reviewed continuously, and selected professionals will be contacted with next steps. * * * ### About Mercor - Mercor is a talent marketplace connecting top experts with leading AI research labs and organizations. - Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. - Thousands of technical professionals partner with Mercor to contribute to frontier AI projects shaping the next era of intelligent systems. * * *

Mercor is seeking software engineers to support one of the world’s leading AI labs in building robust, high-performance systems that serve the needs of next-generation machine learning applications. This role involves using coding agents to perform a variety of realistic coding tasks on real world codebases. * * * You are good fit if you: - Have extensive experience using coding agents as part of your software engineering workflow (codex, claude code, etc.). - Fluent in one of the following languages: Rust, JavaScript/TypeScript, Python. - Contributions to open source projects. - Extensive work on robust personal projects that are shared publicly on GitHub. - Hold a Computer Science degree from a prestigious university in the U.S., Canada, U.K., Australia or New Zealand. - Currently located in the U.S., Canada, U.K., Australia or New Zealand. - Demonstrate exceptional attention to detail and rigorous problem-solving skills. - Excel in both written and verbal communication. * * * Role Highlights - Flexible workload: 10–20 hours per week, with potential to increase to 40 hours. - Fully remote and asynchronous—work on your own schedule. - Minimum duration: 2 weeks, with potential for extension. * * * Role Start Date - This role will begin early October with applications reviewed on a rolling basis. * * * Compensation and Legal Details - You will be legally classified as an hourly contractor for Mercor - We will pay you out at the end of each week via Stripe Connect * * * About Mercor Mercor connects elite creative and technical talent with leading AI research labs, headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey. Apply today and redefine digital creativity alongside groundbreaking AI technologies!

Mercor is seeking Chemistry PhDs for a premier project with one of the world's top AI labs. In this role, you will contribute your subject matter expertise to a cutting-edge project involving frontier large language models. Specifically, you will craft high-quality, challenging problems in your domain expertise with real-world applicability to inform the future of AI innovation. Ideal Qualifications: - Have a Masters or PhD in Chemistry from a top US university. - Have experience coding in Python, R for projects or research. - Have field-specific experience in Quantum Chemistry or Computational Chemistry - Have high attention to detail. - Have exceptional written and verbal communication skills. - Have excellent proficiency in English. - Are currently based in the U.S., Canada, New Zealand, UK, or Australia. Key Responsibilities: - You will work asynchronously with a team of highly qualified experts across your domain. - You will craft, solve, and review challenging problems with real world applicability. - The project is 15-20 hours of work per week with potential for increased hours and extension. - The work is fully remote and asynchronous. Role Start Date - This role will begin in late December with applications reviewed on a rolling basis. Interview Process - You will complete a short interview to assess your domain expertise. - You will be paid for up to 1 hour of onboarding time including the screening process and a few onboarding videos if you are hired. Compensation and Legal Details - You will be legally classified as an hourly contractor for Mercor. - You will be paid out at the end of each week via Stripe Connect. About Mercor Mercor connects elite creative and technical talent with leading AI research labs, headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Mercor is seeking Physics PhDs for a premier project with one of the world's top AI labs. In this role, you will contribute your subject matter expertise to a cutting-edge project involving frontier large language models. Specifically, you will craft high-quality, challenging problems in your domain expertise with real-world applicability to inform the future of AI innovation. Ideal Qualifications: - Have a Masters or PhD in Physics from a top US university. - Have experience coding in Python, MATLAB for projects or research. - Have field-specific experience in Condensed Matter Physics, Optics, Quantum Information/Computing, Computational Physics, Astrophysics, Particle Physics - Have high attention to detail. - Have exceptional written and verbal communication skills. - Have excellent proficiency in English. - Are currently based in the U.S., Canada, New Zealand, UK, or Australia. Key Responsibilities: - You will work asynchronously with a team of highly qualified experts across your domain. - You will craft, solve, and review challenging problems with real world applicability. - The project is 15-20 hours of work per week with potential for increased hours and extension. - The work is fully remote and asynchronous. Role Start Date - This role will begin in late December with applications reviewed on a rolling basis. Interview Process - You will complete a short interview to assess your domain expertise. - You will be paid for up to 1 hour of onboarding time including the screening process and a few onboarding videos if you are hired. Compensation and Legal Details - You will be legally classified as an hourly contractor for Mercor. - You will be paid out at the end of each week via Stripe Connect. About Mercor Mercor connects elite creative and technical talent with leading AI research labs, headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Role OverviewMercor is collaborating with a global insurance and financial services client to support actuarial modeling processes via high-quality data preparation. We are seeking actuarial professionals with experience in seriatim data extraction, cleansing, and validation from life insurance policy administration systems. This opportunity centers around ensuring reliable, audit-ready datasets for valuation, modeling, and financial reporting workflows. This is a short-term, project-based opportunity with high autonomy and clearly scoped deliverables. Key Responsibilities - Extract policy-level data for a given valuation date from systems such as FAST, OIPA, or Sapiens. - Validate record counts against control totals and identify missing or inconsistent fields. - Reconcile in-force movements between periods, including new issues and terminations. - Identify and flag policies with anomalous data for manual review. - Map product codes to actuarial model inputs and document data assumptions. - Deliver a clean, formatted dataset suitable for actuarial projection software. Ideal Qualifications - 5+ years of experience in actuarial data processing or valuation support. - Familiarity with life insurance policy administration systems (e.g., OIPA, FAST, LIFE/400). - Proficiency with Excel and data quality tools; basic scripting knowledge (SQL, Python) is a plus. - Strong attention to detail and understanding of actuarial data structures. - Ability to clearly document data anomalies and reconciliation logic. More About the Opportunity - Remote and asynchronous — control your own work schedule - Expected commitment: min 30 hours/week - Project duration: ~6 weeks Compensation & Contract Terms - $75–100/hour - Independent contractor arrangement - Paid weekly via Stripe Connect Application Process - Submit your resume followed by domain expertise interview and short form About Mercor - Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations. - Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. - Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI.

Mercor is seeking PhD holders, doctoral candidates, and outstanding Master’s graduates in physics and related disciplines to join a high-impact AI research initiative in partnership with a leading artificial intelligence lab. * * * ### Key Domains Here is a list of domains. If you belong to or have expertise in one or more of them, feel free to apply — we’re excited to have you on the team! Fundamental Physics: Theoretical Mechanics, Theoretical Optics, Statistical Mechanics, Thermodynamics, Fluid Physics, Optics and Acoustics Modern & Applied Physics: Electromagnetism and Photonics, Atomic and Molecular Physics, Solid State Physics, Semiconductor Physics, Biophysics Space and Cosmological Sciences: Astrophysics and Cosmology Engineering Disciplines: Electrical Engineering, Control Theory and Control Engineering, Mechanical Engineering * * * ### Key Responsibilities - Evaluate scientific correctness, conceptual rigor, and depth of LLM-generated responses across physics and engineering topics. - Review outputs involving mathematical modeling, experimental methods, and theoretical frameworks in physics. - Identify factual errors, reasoning flaws, and conceptual misunderstandings in model outputs. - Benchmark model performance on advanced physics and applied engineering problems. - Work independently and asynchronously using proprietary evaluation tools. * * * ### Requirements - PhD (candidate/recipient) or Masters in Physics, Applied Physics, Electrical or Mechanical Engineering, or a closely related field. - Strong command of graduate-level physics and mathematical reasoning. - Excellent written communication and analytical abilities. - Ability to work independently in a remote, asynchronous setting. - Strong proficiency in Python, particularly for scientific analysis and model evaluation, is required. * * * ### Role Details - Part-time (20 hours/week) - Remote and asynchronous work environment - Flexible schedule to accommodate global contributors * * * ### Compensation - Contractor position via Mercor - $20–$30/hour, depending on expertise and domain depth - Weekly payments through Stripe Connect * * * ### About Mercor Mercor is a San Francisco-based company connecting top professionals with leading AI initiatives. Investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey.

1\. Role OverviewMercor is seeking applied data science professionals to support a strategic analytics initiative with a global enterprise. This contract-based opportunity focuses on extracting insights, building statistical models, and informing business decisions through advanced data science techniques. Freelancers will translate complex datasets into actionable outcomes using tools like Python, SQL, and visualization platforms. This short-term engagement emphasizes experimentation, modeling, and stakeholder communication — distinct from production ML engineering. 2\. Key Responsibilities ● Translate business questions into data science problems and analytical workflows ● Conduct data wrangling, exploratory analysis, and hypothesis testing ● Develop statistical models and predictive tools for decision support ● Create compelling data visualizations and dashboards for business users ● Present findings and recommendations to non-technical stakeholders 3\. Ideal Qualifications ● 5+ years of applied data science or analytics experience in business settings ● Proficiency in Python or R (pandas, NumPy, Jupyter) and strong SQL skills ● Experience with data visualization tools (e.g., Tableau, Power BI) ● Solid understanding of statistical modeling, experimentation, and A/B testing ● Strong communication skills for translating technical work into strategic insights 4\. More About the Opportunity ● Remote ● Expected commitment: min 30 hours/week ● Project duration: ~6 weeks 5\. Compensation & Contract Terms ● $75–100/hour ● Paid weekly via Stripe Connect ● You’ll be classified as an independent contractor 6\. Application Process ● Submit your resume followed by domain expertise interview and short form 7.About Mercor ● Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations ● Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey ● Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI

Mercor is seeking Material Science PhDs for a premier project with one of the world's top AI labs. In this role, you will contribute your subject matter expertise to a cutting-edge project involving frontier large language models. Specifically, you will craft high-quality, challenging problems in your domain expertise with real-world applicability to inform the future of AI innovation. Ideal Qualifications: - Have a Masters or PhD in Material Science from a top US university. - Have experience coding in Python, MATLAB for projects or research. - Have field-specific experience in Semiconductor Materials, Molecular Modeling - Have high attention to detail. - Have exceptional written and verbal communication skills. - Have excellent proficiency in English. - Are currently based in the U.S., Canada, New Zealand, UK, or Australia. Key Responsibilities: - You will work asynchronously with a team of highly qualified experts across your domain. - You will craft, solve, and review challenging problems with real world applicability. - The project is 15-20 hours of work per week with potential for increased hours and extension. - The work is fully remote and asynchronous. Role Start Date - This role will begin in late December with applications reviewed on a rolling basis. Interview Process - You will complete a short interview to assess your domain expertise. - You will be paid for up to 1 hour of onboarding time including the screening process and a few onboarding videos if you are hired. Compensation and Legal Details - You will be legally classified as an hourly contractor for Mercor. - You will be paid out at the end of each week via Stripe Connect. About Mercor Mercor connects elite creative and technical talent with leading AI research labs, headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Mercor is seeking PhD holders, doctoral candidates, and exceptional Master’s graduates in chemistry and related fields to join a high-impact AI research initiative in collaboration with a leading artificial intelligence lab. * * * ### Key Domains Here is a list of domains. If you belong to or have expertise in one or more of them, feel free to apply — we’re excited to have you on the team! Core Chemistry Disciplines: General Chemistry, Inorganic Chemistry, Organic Chemistry, Physical Chemistry Analytical and Specialized Chemistry: Analytical Chemistry, Electrochemistry, Radiochemistry, Polymer Chemistry Biological and Medicinal Chemistry: Biochemistry and Molecular Biology, Medicinal Chemistry Chemical Engineering and Process Sciences: Chemical Engineering and Technology, Fluid Flow and Heat Transfer in Chemical Engineering, Mass Transport and Separation Processes, Chemical Reaction Engineering * * * ### Key Responsibilities - Evaluate the scientific accuracy, reasoning, and technical rigor of LLM-generated content across chemical disciplines. - Review outputs on topics spanning molecular structure, kinetics, thermodynamics, catalysis, reaction mechanisms, and industrial processes. - Identify and document factual inaccuracies, logical inconsistencies, and reasoning gaps. - Provide structured feedback and benchmarking using specialized evaluation tools. - Work independently and asynchronously as part of a distributed research team. * * * ### Requirements - PhD (candidate/recipient) or Masters in Chemistry, Chemical Engineering, Biochemistry, or a closely related field. - Strong command of graduate-level chemistry concepts and scientific problem solving. - Excellent written communication and analytical thinking skills. - Ability to work independently in a remote, asynchronous environment. - Strong proficiency in Python, particularly for scientific analysis and model evaluation, is required. * * * ### Role Details - Part-time (approximately 20 hours/week) - Remote and asynchronous - Flexible schedule * * * ### Compensation - Contractor position via Mercor - $20–$30/hou, based on expertise and domain experience - Weekly payments via Stripe Connect * * * ### About Mercor Mercor is a San Francisco-based company connecting top professionals with leading AI initiatives. Investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey.

1\. Role Overview Mercor is seeking computational biology experts to contribute to a unique project with a top-tier AI research organization. This short-term initiative challenges AI models with hidden-answer “mystery problems” grounded in real biological data. Experts will design, validate, and anonymize complex datasets to evaluate model reasoning capabilities, not lookup accuracy. This is a compelling opportunity for data-driven life scientists to shape next-generation AI evaluation benchmarks. 2\. Key Responsibilities • Design biologically grounded problems with a single correct answer and ≥20 plausible distractors • Identify, download, and preprocess datasets from public repositories (e.g., GEO, SRA, NCBI) • Subsample and anonymize datasets to prevent metadata-based inference • Independently validate solutions through custom analysis pipelines and visualizations • Operate within technical constraints (e.g., file size, task time limits) 3\. Ideal Qualifications • Hands-on experience analyzing sequencing or omics datasets (e.g., RNA-seq, WGS, mass spec) • Proficient with bioinformatics tools and formats (e.g., BLAST, samtools, DESeq2, FASTA/FASTQ/BAM) • Comfortable coding in Python, R, or bash, and working in Jupyter notebooks • Understanding of biological experiment design and lab-to-data nuances (e.g., batch effects) • Advanced degree (MS, PhD) or research background in computational biology, genomics, or bioinformatics 4\. More About the Opportunity • Remote and asynchronous — set your own schedule • Expected commitment: 15–20 hours/week • Project duration: ~1 month • Potential for additional projects based on performance and interest 5\. Compensation & Contract Terms • $65–85/hour depending on experience and geography • Paid weekly via Stripe Connect • Structured as a freelance contract — independent contractor status 6\. Application Process • Submit your resume to get started • Qualified applicants will complete a short form assessing technical experience • Follow-up steps may include a sample task or review call • Responses typically within 3–5 business days 7\. About Mercor • Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations. • Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. • Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI.

Duration: 6+ Months Contract Job Description: • Writes, tests, and documents technical work products (e.g., code, scripts, processes) according to organizational standards and practices., • Devotes time to raising the quality and craftsmanship of products and systems., • Conducts root cause analysis to identify domain level problems and prescribes action items to mitigate, • Designs self-contained systems within a team's domain, and leads implementations of significant capabilities in existing systems, • Coaches team members in the execution of techniques to improve reliability, resiliency, security, and performance, • Decomposes intricate and interconnected designs into implementations that can be effectively built and maintained by less experienced engineers Responsibilities: • Anticipates trouble areas in systems under development and guides the team in instrumentation practices to ensure observability and supportability, • Defines test suites and instrumentation that ensures targets for latency and availability are being consistently met in production, • Leads through example by prioritizing the closure of open vulnerabilities, • Evaluates potential attack surfaces in systems under development, identifies best practices to mitigate, and guides teams in their implementation, • Leads team in the identification of small batches of work to delivery the highest value quickly, • Ensures reuse is a first class consideration in all team implementations and is a passionate advocate for broad reusability, • Formally mentors teammates and helps guide them to and along needed learning journeys, • Observes their environment and identifies opportunities for introducing new approaches to problems Experience: • Experience with Java and Spring Boot on the backend, and proficiency with React on the frontend—comfortable working across the full stack to design and build scalable, maintainable applications., • 7+ years of experience designing, developing, and implementing large-scale solutions in production environments, • Airline Industry experience Skills: • Proficiency with the following technologies:, • Programming Languages: Java, Python, C#, Javascript/Typescript, • Frameworks: Spring/SpringBoot, FastAPI, • Front End Technologies: Angular/React, • Deployment Technologies: Kubernetes, Docker, • Source Control: GitHub, Clienture DevOps, • CICD: GitHub Actions, Clienture DevOps, • Data management: PostgreSQL, MongoDB, Redis, • Integration/APIs Technologies: Kafka, REST, GraphQL, • Cloud Providers such as Clienture and AWS, • Test Automation: Selenium, TestNG, Postman, SonarQube, Cypress, JUnit/NUnit/PyTest, Cucumber, Playwright, Wiremock/Mockito/Moq, • Ability to optimize solutions for performance, resiliency and reliability while maintaining an eye toward simplicity, • Ability to concisely convey ideas verbally, in writing, in code, and in diagrams, • Proficiency in object-oriented design techniques and principles, • Proficiency in Agile methodologies, such as SCRUM, • Proficiency in DevOps Toolchain methodologies, including Continuous Integration and continuous deployment Top 3 skills: · Java – 7+ years · Spring Boot – 7+ years · React – 7+ years Education: • Master's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training. About US Tech Solutions: US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit ___. US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Recruiter Details: Name: Pratham Pandey Email: Internal Id: 25-36851

We are looking for a tech-savvy problem solver for an Application Support Analyst role to assist in maintaining and configuring mission-critical systems that power our operations. Position Overview The Application Support Analyst is responsible for providing technical support, configuration and maintenance for business applications, ensuring optimal performance and user satisfaction. This role involves troubleshooting issues, writing reports, coordinating with different departments, and delivering high-quality support to end-users in a fast-paced environment. Duties and Responsibilities: • Application Support: Monitor, configure, troubleshoot, and resolve issues related to enterprise applications, ensuring end user support and efficient system performance., • Incident Management: Respond to and resolve end users’ requests in a timely manner, escalating complex issues to senior technical teams when necessary., • User Assistance: Provide guidance, configuration and training to end-users on application functionality, ensuring effective use of systems., • System Maintenance: Perform regular maintenance tasks, including software updates and configuration changes to ensure system reliability., • Data Integrity and Visualizations: Create reports and leverage data visualizations tools. Assist in application configurations to promote data integrity through data entry. Provide data Integration into industry specific applications from Acquisitions., • Documentation: Create and maintain detailed documentation related to business processes, issue resolutions, and system configurations., • Collaboration: Work closely with infrastructure team, end-users and application vendors to identify and implement application improvements., • Root Cause Analysis: Investigate recurring issues to identify root causes and recommend long-term solutions to prevent future occurrences., • Monitoring and Reporting: Utilize monitoring tools to track application performance and generate reports for stakeholders., • Compliance: Ensure applications adhere to organizational security policies and audit requirements. Knowledge, Skills, and Abilities • Bachelor’s/University degree or equivalent experience in the oil and gas industry preferred, • 1+ years of hands-on SQL experience preferred, • Strong SQL skills - SQL queries, stored procedures, views, and SQL Agent Jobs, • Data Visualization Tools - Report Writing: Power BI, Spotfire, SSRS, • Application support expertise - Proficiency in troubleshooting software applications and understanding of IT Systems (e.g., Windows or cloud-based environments), vendor management and root cause analysis, • Industry specific software - Preferred knowledge of Aries, Wellview/Siteview, Prodview, TabFusion, Quorum, Conduit, CygNet, Petra, ArcGIS, • Technical knowledge - Relational Databases, ETL Processes, SSIS, API, XML, • Coding - Some experience in writing and interpreting scripts, PowerShell, Python, • Business process mindset - translate operational needs into technical solutions, • Teamwork - Ability to work in a team environment and learn new skills quickly with little supervision, • Personal skills – Communication, self-study and a desire to your grow knowledge base and a career Equal Opportunity Employer Prospective employees will receive consideration without discrimination because of race, color, religion, marital status, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, veteran status, disability, or genetic information.

NO C2C Available at this time. 6+ Month W2 Contract to Start with strong possibility of extension. TOP SKILLS: Linux Commands Facilities experience with maintaining power and cooling systems CLI of Network HW/Router (Cisco Juniper, Arista, Dell) Cisco iOS or JunOS 100G/400G Cables. Description: Description Seeking an experienced Data Center Operations Engineer to ensure environments run with precision, efficiency, and uptime across global sites. This role will bridge IT and facilities, maintaining the power, cooling, and compute systems that sustain the company’s world-class AI platforms. This role requires a technically strong, detail-oriented engineer who thrives in high-availability environments. Must understand the full stack of data center infrastructure: Compute, Network, Power, and Cooling, and must take pride in systems that run flawlessly because of your work. Be able to communicate clearly, perform methodically under pressure, and collaborate effectively across IT, facilities, and vendor teams. This role requires a builder, a problem-solver, and a guardian of uptime, someone who values precision, safety, and accountability in every aspect of operations. • Responsibilities:Own the day-to-day reliability and performance of company data centers, supporting both IT and facility infrastructure. This includes installing and configuring servers and compute equipment, managing structured cabling, and performing Layer 1–3 troubleshooting across compute and network layers., • Partner closely with colocation and data center providers to maintain uptime reviewing maintenance procedures, coordinating planned work, validating redundancy during transitions, and verifying site health after power or cooling events., • Work alongside facilities teams, you’ll help operate and maintain critical power and cooling systems, including transformers, PDUs, UPS, switchgear, generators, CRAC and CRAH units, CDUs, chillers, cooling towers, and containment systems. You’ll assist in capacity planning, preventive maintenance, and load balancing across power and cooling zones to maintain safe, efficient, and redundant operations., • Lead incident response and root-cause analysis, refine standard operating procedures, and implement automation to improve efficiency and consistency across company data centers worldwide. Required Skills • 10+ years in data center compute operations, facilities, or infrastructure engineering and/or a degree in an Engineering or Computer Science discipline, • Hands-on experience with servers, networking, and structured cabling, • Working knowledge of electrical systems including transformers, PDUs, UPS, switchgear, and generators, • Understanding of cooling systems including CRAC/CRAH units, CDUs, cooling towers, chillers, and containment environments, • Familiarity with Linux and basic scripting (Bash, Python, Ansible), • Proficiency with network CLIs (Cisco, Arista, Juniper), • Experience collaborating with colocation providers and reviewing MOP/EOPs for electrical and mechanical work, • Proficiency with ITSM/DCIM platforms (e.g., Jira, ServiceNow, NetBox, Sunbird), • Ability to manage server, switch, router, storage, and hardware lifecycle processes, • Ability to update asset management systems using scanners and inventory tools, • Strong documentation, troubleshooting, and communication skills for ticketing, customer communication, and team coordination, • Strong multitasking, adaptability, and time-management skills with a focus on quality and throughput, • Must be punctual, reliable, and well-organized, • Must have strong interpersonal and teamwork skills, with the ability to work independently when needed, • Willingness to support on-call rotation and meet a 60-minute on-site SLA, • Ability to safely lift 50–75 lbs and remain on feet for majority of the workday, • Ability to operate material-handling equipment (pallet jacks, forklifts, server-lift), • Demonstrated ability to learn new systems, methodologies, software, and hardware platforms, • Experience working in high-tempo, high-stress environments, • Experience leading and/or mentoring more junior staffers, • Domain expert in one or more of the following functional areas:, • Datacenter power systems, • Datacenter cooling/HVAC systems, • Server or liquid cooling, • Network routing and switching, • Late generation flash storage arrays, • Facility and/or network security Able to effectively present data to senior leadership Familiar with datacenter key performance indicators (KPI) Ability to manage outage events Be a good person and good team mate Preferred Certifications • CompTIA Server+, Network+, or Linux+, • ITIL Foundation certification, • Networking: CCNA, JNCIA , ACE-A, • CNet: CDCDP, CDCMP Compensation: The estimated pay range for this position is USD $50.00/hr - USD $60.00/hr and is an Non-Exempt role. Exact compensation and offers of employment are dependent on circumstances of each case and will be determined based on job-related knowledge, skills, experience, licenses or certifications, and location. Benefits: We offer comprehensive benefit options which vary depending on role, location, and employment type. The Talent Acquisition Partner can share more details about compensation or benefits for the specific role during the hiring process.

Join a Global Leader in Workforce Solutions – Net2Source Inc. Who We Are: Net2Source Inc. isn’t just another staffing company, we’re a powerhouse of innovation, connecting top talent with the right opportunities. Recognized for 300% growth in the past three years, we operate in 32 countries with a global team of 5,500+. Our mission? To bridge the talent gap with precision—Right Talent. Right Time. Right Place. Right Price. Please find below the job description. Position: Teamcenter Administrator Location: Fort Worth, TX (Hybrid) Type: Contract Overview: The Teamcenter Administrator with Infrastructure focus is responsible for managing, maintaining, and optimizing the Siemens Teamcenter PLM environment, ensuring its stability, performance, and scalability. This role combines Teamcenter administration expertise with strong knowledge of IT infrastructure, including servers, databases, networking, and deployment automation. Key Responsibilities: Teamcenter Administration: • Install, configure, and maintain Teamcenter Unified/Enterprise environments (Production, QA, and Development)., • Manage user accounts, roles, and access control (Organization, Group, Volume, and Privilege management)., • Handle data model administration (BMIDE deployments, configuration management)., • Administer and monitor Teamcenter services, including Pool Manager, Dispatcher, FMS, and SSO integrations., • Manage Teamcenter upgrades, patches, and hotfix deployments., • Coordinate system backups, data recovery, and environment cloning., • Monitor and troubleshoot Teamcenter performance issues (client/server)., • Support AWC (Active Workspace Client) installation, configuration, and troubleshooting Infrastructure & System Management: • Manage server infrastructure (Windows/Linux) supporting Teamcenter, including web/app/database tiers., • Maintain and optimize Teamcenter database environments (Oracle / SQL Server) in coordination with DBAs., • Support virtualization and cloud deployments (VMware, Azure, AWS)., • Manage load balancing, clustering, and failover setups for high availability., • Oversee integration with CAD tools (NX, CATIA, SolidWorks, etc.) and ensure smooth data exchange., • Administer and optimize File Management System (FMS) servers and volume replication., • Implement and manage security configurations (SSL, LDAP/AD, SSO with SAML/OAuth)., • Create and maintain environment documentation (architecture diagrams, configurations, SOPs). Automation & Monitoring: • Develop and maintain scripts (Shell, PowerShell, or Python) for environment automation and monitoring., • Implement system monitoring and alerting tools (e.g., Splunk, Grafana, Nagios, or similar)., • Support DevOps practices – automate deployments, builds, and maintenance tasks. Qualifications: • Bachelor’s Degree in Computer Science, Information Technology, Engineering, or related field., • 5+ years of experience administering Siemens Teamcenter environments., • Strong understanding of Teamcenter architecture, FMS, and Dispatcher framework., • Experience with Active Workspace (AWC) and BMIDE administration., • Proficiency in Windows and Linux server environments., • Hands-on experience with Oracle or MS SQL databases., • Familiarity with PLM-CAD integrations and multi-site environments., • Strong scripting and automation skills (Shell, PowerShell, or Python)., • Experience with cloud platforms (Azure/AWS) is a plus., • Excellent troubleshooting, communication, and documentation skills. Why Work With Us? We believe in more than just jobs—we build careers. At Net2Source, we champion leadership at all levels, celebrate diverse perspectives, and empower you to make an impact. Think work-life balance, professional growth, and a collaborative culture where your ideas matter. Our Commitment to Inclusion & Equity Net2Source is an equal opportunity employer, dedicated to fostering a workplace where diverse talents and perspectives are valued. We make all employment decisions based on merit, ensuring a culture of respect, fairness, and opportunity for all, regardless of age, gender, ethnicity, disability, or other protected characteristics. Awards & Recognition • America’s Most Honored Businesses (Top 10%), • Fastest-Growing Staffing Firm by Staffing Industry Analysts, • INC 5000 List for Eight Consecutive Years, • Top 100 by Dallas Business Journal, • Spirit of Alliance Award by Agile1 Ready to Level Up Your Career? Click Apply Now and let’s make it happen.

ABOUT OUR CLIENT Our Client is a privately held, well-capitalized energy company based in Fort Worth, Texas with a strong track record of success across upstream, midstream, and mineral operations throughout the United States. The leadership team is composed of highly experienced professionals who have worked together across multiple ventures and basins. They are committed to fostering a collaborative, high-integrity culture that values intellectual curiosity, accountability, and continuous improvement. ABOUT THE ROLE Our Client is seeking a skilled and motivated Data Engineer to join their growing technology team. This role plays a key part in managing and optimizing data systems, designing and maintaining ETL processes, and improving data workflows across departments. The successful candidate will have deep technical expertise, a strong background in database architecture and data integration, and the ability to collaborate cross-functionally to enhance data management and accessibility. Candidates with extensive experience may be considered for a Senior Data Engineer title. RESPONSIBILITIES • Design, implement, and evolve database architecture and schemas to support scalable and efficient data storage and retrieval., • Build, manage, and maintain end-to-end data pipelines, including automation of ingestion and transformation processes., • Monitor, troubleshoot, and optimize data pipeline performance to ensure data quality and reliability., • Document all aspects of the data pipeline architecture, including data sources, transformations, and job scheduling., • Optimize database performance by managing indexing, queries, stored procedures, and views., • Develop frameworks and tools for reusable ETL processes and efficient data handling across formats such as CSV, JSON, and Parquet., • Ensure proper version control and adherence to coding standards, security protocols, and performance best practices., • Collaborate with cross-functional teams including engineering, operations, land, finance, and accounting to streamline data workflows. QUALIFICATIONS • Excellent verbal and written communication skills., • Strong organizational, analytical, and problem-solving abilities., • Proficient in Microsoft Office Suite and other related software., • Experienced in programming languages such as R, Python, and SQL., • Proficient in making and optimizing API calls for data integration., • Strong experience with cloud platforms such as Azure Data Lake, Azure Data Studio, Azure Databricks, and/or Snowflake., • Proficient in CI/CD principles and tools., • High integrity, humility, and a strong sense of accountability and teamwork., • A self-starter with a continuous improvement mindset and passion for evolving technologies. REQUIRED EDUCATION AND EXPERIENCE • Bachelor’s degree in computer science, software engineering, or a related field., • 2+ years of experience in data engineering, database management, or software engineering., • Master’s degree or additional certification a plus, but not required., • Exposure to geospatial or GIS data is a plus. PHYSICAL REQUIREMENTS • Prolonged periods of sitting and working at a computer., • Ability to lift up to 15 pounds occasionally. NO AGENCY OR C2C CANDIDATES WILL BE CONSIDERED VISA SPONSORSHIP IS NOT OFFERED NOR AVAILABLE FOR H1-B NOR F1 OPT

Job Title: GCP Data Engineer Location: Dallas-Fort Worth, TX (Onsite Only) Employment Type: W2/CTH Client: Direct Role Overview: We are seeking a highly skilled Data Engineer with strong expertise in Python, SQL, and Google Cloud Platform (GCP) services. The ideal candidate will have 6-8 years of hands-on experience in building and maintaining scalable data pipelines, working with APIs, and leveraging GCP tools such as BigQuery, Cloud Composer, and Dataflow. Core Responsibilities: • Design, build, and maintain scalable data pipelines to support analytics and business operations., • Develop and optimize ETL processes for structured and unstructured data., • Work with BigQuery, Cloud Composer, and other GCP services to manage data workflows., • Collaborate with data analysts and business teams to ensure data availability and quality., • Integrate data from multiple sources using APIs and custom scripts., • Monitor and troubleshoot pipeline performance and reliability. Technical Skills: o Strong proficiency in Python and SQL. o Experience with data pipeline development and ETL frameworks. • GCP Expertise: o Hands-on experience with BigQuery, Cloud Composer, and Dataflow. • Additional Requirements: o Familiarity with workflow orchestration tools and cloud-based data architecture. o Strong problem-solving and analytical skills. o Excellent communication and collaboration abilities.

Company Summary Stellar Energy provides state-of-the-art solutions customers build in for optimized energy performance now; and in the preparation for the energy needs of tomorrow. In business for 25 years, we’ve delivered added energy efficiency and capacity to customers in more than 15 countries. More dispatchable power. Increased LNG production. Greater Data Center efficiency and lower costs. Hyperscale deployment at the best possible speed to first megawatt. All delivered with the lower emissions required to support our partners’ unique sustainability objectives. Stellar Energy specializes in a wide range of engineering and manufacturing solutions within the energy sector including turbine inlet air chilling, central utility plants, district cooling, combined heat & power systems, thermal energy storage, inlet air heating, data center chilling, and inlet air chilling for LNG facilities. Additionally, our expertise extends to start-up & commissioning, system health analysis, services, and training. Our in-house team of skilled engineers and dedicated tradespeople are the reason we are the global leader in customized solutions. Stellar Energy strives to add value to today’s energy infrastructure, achieving secure, affordable, and sustainable energy that will help to create a responsible energy economy. Summary Objective The Automation Engineer is responsible for designing, implementing, and optimizing automated systems that support efficient, reliable, and scalable manufacturing operations. This role develops and maintains control systems, instrumentation, and data acquisition processes to enhance equipment performance, reduce downtime, and improve product quality. The Automation Engineer works collaboratively with maintenance, production, and engineering teams to troubleshoot system issues, integrate new automation technologies, and drive continuous improvement initiatives that align with facility safety, quality, and productivity objectives. Essential Functions • Responsible for delivering performance and operational uptime of our automated systems including but not limited to Manufacturing Execution System (MES), automated metal fabrication equipment, automated painting equipment and other technologies as assigned., • Support the development of maintenance plans for key automation and controls systems within each assigned site., • Provide triage support during outages of our automated systems., • Research industry trends and technologies to ensure the latest equipment and software. packages are assessed for use within each of our sites., • Participates in workshops, Kaizen events and other related activities as needed., • Identifies best practices within and outside the organization for process. improvement/implementation and serves as a channel for best practice sharing and adoption, • Partners with other teams to support a continuous improvement of culture within the organization., • Partners internal and external teams to support manufacturing related initiatives., • Identifies barriers to success and solicits help from leadership as and when needed. Required Education and Experience • Education in Automation Engineering, a similar field or a combination of experience and education., • 2 to 5 years of experience in related field., • Proficient in Microsoft Office. Preferred Qualifications (Not Required) • Exposure to Python, SQL, or other scripting languages., • Knowledge of ISO, GMP, or other regulatory compliance standards.

Role Description Mercor is hiring on behalf of a leading AI research lab to bring on highly skilled Machine Learning Engineers with a proven record of building, training, and evaluating high-performance ML systems in real-world environments. In this role, you will design, implement, and curate high-quality machine learning datasets, tasks, and evaluation workflows that power the training and benchmarking of advanced AI systems. This position is ideal for engineers who have excelled in competitive machine learning settings such as Kaggle, possess deep modelling intuition, and can translate complex real-world problem statements into robust, well-structured ML pipelines and datasets. You will work closely with researchers and engineers to develop realistic ML problems, ensure dataset quality, and drive reproducible, high-impact experimentation. Candidates should have 3+ years of applied ML experience or a strong record in competitive ML, and must be based in India. Ideal applicants are proficient in Python, experienced in building reproducible pipelines, and familiar with benchmarking frameworks, scoring methodologies, and ML evaluation best practices. * * * ## Responsibilities - Frame unique ML problems for enhancing ML capabilities of LLMs. - Design, build, and optimise machine learning models for classification, prediction, NLP, recommendation, or generative tasks. - Run rapid experimentation cycles, evaluate model performance, and iterate continuously. - Conduct advanced feature engineering and data preprocessing. - Implement adversarial testing, model robustness checks, and bias evaluations. - Fine-tune, evaluate, and deploy transformer-based models where necessary. - Maintain clear documentation of datasets, experiments, and model decisions. - Stay updated on the latest ML research, tools, and techniques to push modelling capabilities forward. * * * ## Required Qualifications - At least 3 years of full-time experience in machine learning model development - Technical degree in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related field - Demonstrated competitive machine learning experience (Kaggle, DrivenData, or equivalent) - Evidence of top-tier performance in ML competitions (Kaggle medals, finalist placements, leaderboard rankings) - Strong proficiency in Python, PyTorch/TensorFlow, and modern ML/NLP frameworks - Solid understanding of ML fundamentals: statistics, optimisation, model evaluation, architectures - Experience with distributed training, ML pipelines, and experiment tracking - Strong problem-solving skills and algorithmic thinking - Experience working with cloud environments (AWS/GCP/Azure) - Exceptional analytical, communication, and interpersonal skills - Ability to clearly explain modelling decisions, tradeoffs, and evaluation results - Fluency in English * * * ## Preferred / Nice to Have - Kaggle Grandmaster, Master, or multiple Gold Medals - Experience creating benchmarks, evaluations, or ML challenge problems - Background in generative models, LLMs, or multimodal learning - Experience with large-scale distributed training - Prior experience in AI research, ML platforms, or infrastructure teams - Contributions to technical blogs, open-source projects, or research publications - Prior mentorship or technical leadership experience - Published research papers (conference or journal) - Experience with LLM fine-tuning, vector databases, or generative AI workflows - Familiarity with MLOps tools: Weights & Biases, MLflow, Airflow, Docker, etc. - Experience optimising inference performance and deploying models at scale * * * ## Why Join - Gain exposure to cutting-edge AI research workflows, collaborating closely with data scientists, ML engineers, and research leaders shaping next-generation AI systems. - Work on high-impact machine learning challenges while experimenting with advanced modelling strategies, new analytical methods, and competition-grade validation techniques. - Collaborate with world-class AI labs and technical teams operating at the frontier of forecasting, experimentation, tabular ML, and multimodal analytics. - Flexible engagement options (30–40 hrs/week or full-time) — ideal for ML engineers eager to apply Kaggle-level problem solving to real-world, production-grade AI systems. - Fully remote and globally flexible — optimised for deep technical work, async collaboration, and high-output research environments.

Mercor is partnering with leading AI labs to recruit skilled Software Engineers for cutting-edge research initiatives. These projects focus on writing and reviewing full unit test suites for complex open-source codebases across a variety of languages and frameworks. * * * ### About the Role This project involves: - Writing and reviewing comprehensive unit tests for high-complexity code repositories. - Interfacing directly with leading AI researchers from top-tier labs. - Working fully asynchronously, on your own schedule. - A commitment of 15–40 hours/week depending on your availability and performance. * * * ### You’re a Strong Fit If You: - Have 2+ years of experience (professional or open-source) in Java, TypeScript, JavaScript, Python or Go. - Have hands-on experience writing unit tests in at least one of the above languages. - Have contributed to complex open-source projects (strong experience required). - Are comfortable working with Docker and containerized environments. * * * ### Work Terms & Compensation - Contractor Status: You’ll be an contractor to Mercor. - Flexible Pay: Weekly payouts via Stripe Connect, based on logged hours. - Competitive Hourly Rate: Adjusted to your location and experience. * * * ### Why Join? - Direct collaboration with AI labs at the forefront of research. - Work on high-impact codebases influencing major projects. - Opportunity to extend into future AI collaborations with Mercor, based on performance. * * * ### Application Instructions - Please include your GitHub profile in both your resume and the application form. - Your interview will exclusively focus on your open-source contributions — be prepared to discuss them in detail.

About Cyberhaven: Joining Cyberhaven offers a unique opportunity to be at the forefront of revolutionizing data protection through cutting-edge AI technology. Cyberhaven is dedicated to overcoming the challenges faced by traditional data security products, ensuring robust protection of critical data against insider threats in a rapidly evolving work environment. With a unique approach to data lineage, tracing data from its origin for better classification and protection, Cyberhaven combines the functionality of traditional data protection security tools into a single, more effective solution. Position Overview: We’re looking for an experienced Backend engineer to help drive and evolve our product, focusing on high-impact innovation projects as part of our Linea AI team. You will be working on cutting-edge technology and ideas and bringing AI prototypes to production. You will work closely with Labs team to operationalize and scale AI prototypes across many customers. What you’ll do: * You'll design and optimize a large-scale, highly scalable, and fault-tolerant system that handles large graph datasets at enterprise scale in realtime. Instances of our product are processing billions of events from tens of thousands of endpoints in real-time with subsecond latency requirements * You'll be solving real-world scaling problems that require thorough performance analysis and troubleshooting skills * You get to work with a modern and constantly evolving microservices-based software stack which includes Go, Kubernetes, Docker, Redis, Etcd * You'll write secure-by-design hardened software that must withstand real-world attacks, while processing untrusted data and communicating with tens of thousands of endpoints over the internet * You will work on the operationalization of AI prototypes to production Qualifications: * You love innovation and have an entrepreneurial mindset, eager to solve challenging real-world problems with breakthrough technology * You have a strong track record in building full-stack applications that are actively used at scale * You have experience developing large applications in Go / Python * You have 5+ years of experience with Backend development * You have production experience working with large-scale foundational models and transformer-based architecture (GenAI) * Candidates located in Central or Eastern time zones are preferred What you can count on: * Competitive start up salary and generous stock options * 100% paid health benefits options * Flexible time off * Potential fast-tracked career advancement opportunities * Experience building something from the ground up Cyberhaven is the AI-powered data security company revolutionizing how companies detect and stop the most critical insider threats to their most important data. We've raised over $250M from leading Silicon Valley investors like Khosla and Redpoint. Cyberhaven is also backed by founders, executives, and security leaders who have built transformational technologies at Crowdstrike, Nutanix, Palo Alto Networks, Meta, Google, Slack, and others. Our company values are: * Think Deeply and Use Sound Reasoning * Step Up and Take Ownership * Continuously Learn and Grow * Obsess About Customers * Enjoy the Journey * Reach for Ambitious Goals Cyberhaven is committed to creating a diverse environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Location: Dallas-Fort Worth, TX (Onsite Only).We are seeking a highly skilled Data Engineer with strong expertise in Python, SQL, and Google Cloud Platform (GCP) services.The ideal candidate will have 6-8 years of hands-on experience in building and maintaining scalable data pipelines, working with

Job Description Senior SQL/Python Report DeveloperLocation: Haltom City, TXHybridSr. SQL/Python Report Developer focuses on designing, developing, and maintaining data-driven reports using SQL and Python. This role involves crafting complex SQL queries, developing efficient data pipelines with Python, and utilizing reporting tools like SSRS or Excel to deliver actionable insights. They are also responsible for optimizing database performance, automating reporting processes, and collaborating with stakeholders to understand their reporting needs. SALARY AND BENEFITS The leadership of our Company believes in attracting and retaining exceptional talent committed to serving our clients. We offer a generous benefits package including health insurance, paid vacation, disability, and life insurance, and more. Please visit our Careers page for additional information. Salary and benefits information will be available to applicants, when and if an offer is made. HOW TO APPLY All applications must be completed online. We do not accept paper submissions. Please visit our Careers Page to review all current job postings, and instructions on the application process. As an Equal Employment Opportunity (EEO) Employer, Cycurion, Inc. and our Subsidiaries prohibit discriminatory employment actions against and treatment of its employees and applicants for employment based on actual or perceived race or color, size (including bone structure, body size, height, shape, and weight), religion or creed, alienage or citizenship status, sex (including pregnancy), national origin, age, sexual orientation, gender identity (one’s internal deeply-held sense of one’s gender which may be the same or different from one’s sex assigned at birth; one’s gender identity may be male, female, neither or both, e.g., non-binary), gender expression (the representation of gender as expressed through, for example, one’s name, choice of pronouns, clothing, haircut, behavior, voice, or body characteristics; gender expression may not be distinctively male or female and may not conform to traditional gender-based stereotypes assigned to specific gender identities), disability, marital status, relationship and family structure (including domestic partnerships, polyamorous families and individuals, chosen family, platonic co-parents, and multigenerational families), genetic information or predisposing genetic characteristics, military status, domestic violence victim status, arrest or pre-employment conviction record, credit history, unemployment status, caregiver status, salary history, or any other characteristic protected by law. Powered by JazzHR FpsvEesAPb

Job Description Our Client Is a rapidly growing Tier 1 VC backed startup based in New York with $60 million in funding revolutionizing how outside sales and service teams work. Their AI technology captures and analyzes real-world conversations, providing full visibility into every customer interaction without the need for traditional ride-alongs. By turning field conversations into searchable, actionable data, they empower teams to coach more effectively, close more deals, and boost average ticket sizes. Combining cutting-edge AI with a deep understanding of field sales dynamics, this company is redefining how businesses learn from and optimize their in-person customer experiences. About Us Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency that’s deeply embedded in our clients’ recruitment operations. We collaborate directly with Founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems. Location: New York, NY Work type: Full Time, Compensation: above market base + bonus + equity Roles & Responsibilities * Design, build, and deploy production-grade ML systems with end-to-end ownership of the model lifecyclefrom conception to deployment and maintenance. * Architect and deliver AI-powered solutions enabling natural speech interaction and real-time audio understanding. * Develop and optimize ML models focused on audio data to extract business-critical insights from previously unstructured voice data. * Build agents capable of operating natively on real-world audio inputs. * Collaborate with cross-functional teams to shape the foundations of the AI stack, improve tooling, and drive innovation in LLM and audio ML applications. * Work directly with customers to identify needs, gather feedback, and deliver impactful real-world solutions. * Handle the entire AI lifecycle, including data acquisition, preprocessing, model training, deployment, inference, and monitoring in production environments. * Participate in continuous improvement of the ML infrastructure and processes for scalability and performance. Qualifications * Bachelor’s or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field. * 1-6 years of professional experience in ML engineering. * Strong programming skills in Python (TypeScript experience is a plus). * Hands-on experience with ML frameworks such as PyTorch or TensorFlow. * Familiarity with cloud environments and infrastructure (preferably AWS). * Strong understanding of data pipeline design, real-time inference, and model monitoring. * Excellent communication skills with the ability to engage directly with customers and stakeholders. Core Experience * Proven experience building and deploying ML models into production environments. * Demonstrated ability to own the full model lifecyclefrom data ingestion and model development to deployment and monitoring. * Experience with audio-focused ML projects or similar domains involving unstructured data. * Proficiency in building scalable data pipelines for model training and evaluation. * Familiarity with FastAPI, OpenAI APIs, Baseten, LiteLLM, LiveKit, PostgreSQL, Redis, and S3 is a plus. * Solid grasp of ML systems architecture, feature engineering, evaluation strategies, and deployment best practices.

Job Description About Us At Autonomous Solutions, Inc. (ASI), we are a global leader in vehicle automation solutions. Our technology enables safe, efficient, and scalable automation for industries such as solar, agriculture, construction, landscaping, and more. With a commitment to innovation and excellence, ASI continues to push the boundaries of what is possible in autonomous technology. Our Mission is to help you reach your potential through innovative robotic solutions. We pride ourselves in our core values: Safe, Simple, Transparent, Growth, Humble, and Attention to Detail. About the Role We are hiring Guidance, Navigation, and Controls (GNC) Engineers across multiple levels (I-V) to join our robotics team. As a GNC Engineer, you will design, implement, and validate control and localization algorithms that power our unmanned ground vehicles (UGVs). Your work will include modeling, simulation, tuning, and real-world deployment in cross-disciplinary environments. You will work closely with embedded software engineers, perception experts, and systems teams to deliver reliable autonomous systems. This role includes both simulation-based development and field implementation. You will directly shape how ASI's autonomous vehicles perform in complex, real-world environments. From tuning controllers on rugged machinery to developing estimation algorithms and deploying systems at customer sites, your work will be essential in ensuring the accuracy, safety, and responsiveness of our robotic platforms. We need engineers who thrive not only in algorithm development but also in real-world deployment and troubleshooting. This is a hybrid position that requires three days (Tuesday through Thursday) on-site. Job Duties • Design, implement, and test control and localization algorithms for autonomous ground vehicles apply them to real-world systems., • Tune control systems and implement them on embedded platforms such as vehicle control units (VCUs)., • Model and simulate mechanical and electrical systems using tools such as MATLAB/Simulink., • Validate systems through simulation, hardware-in-the-loop (HIL), and field testing., • Collaborate with cross-functional teams including Embedded Software, Mechanical, Perception, and Systems Engineering., • Document analysis, designs, tuning methods, and performance results., • Support field integration, testing, and debugging activities., • Contribute to customer proposal writing and technical documentation., • Develop or apply control methods such as PID tuning, state space control, or advanced/robust controllers. GNC Engineer I • Typically 0-2 years of experience. May have internship or academic research background., • Bachelor's degree in Engineering with an emphasis in Controls, Robotics, or Localization, or related field, • Supports tuning of existing control systems under supervision., • Participates in validation and simulation., • 2-4 years of experience in a relevant field., • Master's degree in Engineering with an emphasis in Controls, Robotics, or Localization or related field, • Capable of modifying and tuning control systems with some independence., • Supports field deployments and data collection., • 4-6 years of experience., • Master's degree in Engineering with an emphasis in Controls, Robotics, or Localization or related field, • Independently adapts and implements control and localization algorithms for specific vehicle platforms., • Owns validation from simulation to HIL and field testing., • 6+ years of experience., • Master's degree in Engineering with an emphasis in Controls, Robotics, or Localization or related field., • Leads development of new control systems., • Provides design guidance and architecture for estimation and controls across programs., • 8+ years and proven leadership in GNC for robotics or autonomous systems., • Master's degree in Engineering with an emphasis in Controls, Robotics, or Localization or related field., • Sets technical strategy and best practices for controls and guidance across teams., • Serves as a go-to expert for estimation theory, robust controls, and real-world tuning. Required: • Bachelor's degree required for Level I; Master's degree required for Levels II-V., • Proficiency with MATLAB/Simulink, Python, and C/C++., • Strong foundation in state estimation, PID tuning, and system modeling., • Familiarity with or willingness to learn: state space control, localization, and advanced control methods., • Experience or strong interest in writing technical papers and proposals., • Familiarity with VCUs and embedded implementation., • Experience in field testing autonomous or robotic vehicles., • Thesis-based research or hands-on experience in estimation theory or control system design., • Familiarity with state-of-the-art controllers and advanced control strategies. ASI offers a rich benefit package including: • 401k with employer match, • Generous HSA contribution, • Employee Stock Ownership Plan, • PTO, Paid Holidays, and Flextime At Autonomous Solutions, Inc. (ASI), we are committed to fostering a diverse, inclusive, and equitable workplace where all employees and applicants have equal opportunities. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, national origin, age, disability, genetic information, veteran status, sexual orientation, gender identity, or any other legally protected characteristic. ASI complies with all applicable federal, state, and local laws regarding non-discrimination in employment and is dedicated to providing reasonable accommodations for individuals with disabilities throughout the hiring process. Job Posted by ApplicantPro

Job Description Company Overview: MP Materials (NYSE: MP) is rebuilding American industrial capability for a new era of autonomy, robotics, and electrification. We are the only U.S. company with a fully integrated rare earth supply chain—from mining and refining to advanced metal and magnet manufacturing. Our products include both the critical materials used to make permanent magnets and the finished magnets themselves—enabling next-generation technologies in robotics, automation, aerospace, transportation, defense, and energy systems. These materials are the foundation of physical AI—the convergence of computation, movement, and control. We hire ambitious, mission-driven people who want to tackle complex challenges and shape the future of strategic industries. Our culture is rooted in teamwork, resiliency, and integrity, with a deep commitment to operational excellence and national purpose. MP is rapidly evolving from a materials producer into a leading U.S. manufacturer—and our people are driving that transformation. Position Overview: MP Materials is seeking a Senior Engineer to join the Magnet Technology group to support development technologies for advanced manufacturing to produce high-performance rare earth permanent magnets. In this role, the Senior Engineer will lead R&D projects to optimize the materials and processing of magnets, including casting, powder processing, pressing, sintering, recycling, and more. Responsibilities include designing custom experimental setups, running experimental campaigns on pilot-scale equipment, and materials characterization using techniques such as magnetometry, microscopy, and chemical analysis. The Senior Engineer will manage and mentor a team of engineers and technicians to deliver new, scalable technologies for manufacturing rare-earth permanent magnets. This is a rare opportunity to play a key role in returning an essential manufacturing capability to the USA. Position Responsibilities: • Lead experimental projects, overseeing project planning, execution, and delivery of scalable new materials and processes for rare-earth permanent magnets., • Design and conduct experiments to optimize new materials and processes for rare[1]earth permanent magnets., • Leverage materials characterization techniques including SEM, XRD, LECO, etc. to fundamentally understand the underlying mechanisms of magnetic properties., • Supervise and mentor junior engineers and technicians, providing technical guidance in metallurgical materials and fostering a culture of continuous learning and professional development., • Collaborate with process and product development teams to leverage pilot equipment and scale new technologies., • Work closely with EHS to ensure that all work is done to ensure world-class health and safety, and full compliance with relevant environmental regulations., • Engage external institutions including university researchers, strategic partners, and government laboratories to add value from new technologies and applied research., • Represent MP Materials within the industry by publishing in technical and trade journals and presenting at conferences., • Ph.D. in Materials Science & Engineering, Metallurgy, Physics, or related field., • 5+ years of industry experience in casting, pressing, sintering, or heat treatment of metals and/or ceramics., • Experience with metallurgical manufacturing processes and materials characterization methods., • Deep understanding of materials, thermodynamics, and kinetics., • Agile researcher, adept at identifying untested questions about materials and the interactions between processing, structure, and performance., • Experience with manufacturing of rare earth materials and permanent magnets., • Experience leading technical development projects and direct reports, with the ability to prioritize and manage multiple concurrent projects., • Strong skills in analyzing experimental data using tools such as Python, MATLAB, or statistical software to draw actionable insights and guide decision-making. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Underrepresented groups/Women/Disabled/Veterans are encouraged to apply. Candidates whose disabilities make them unable to meet the position’s requirements will still be considered qualified if they can perform the essential functions of the job with reasonable accommodation. Your Right to Work – In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment verification document form upon hire. For Assistance with Application - Alternative methods of applying for employment are available to individuals unable to submit an application through this site because of a disability. Contact Human Resources Department at 702-844-6111; dial 7 when prompted for HR; 1700 South Pavilion Center Dr. 8th Floor, Las Vegas, NV 89135 to discuss reasonable accommodation.

Job DescriptionReady to make connectivity from space universally accessible, secure and actionable? Then you’ve come to the right place! E-Space is bridging Earth and space to enable hyper-scaled deployments of Internet of Things (IoT) solutions and services. We are building a highly-advanced low Earth orbit (LEO) space system that will fundamentally change the design, economics, manufacturing and service delivery associated with traditional satellite and terrestrial IoT systems. We’re intentional, we’re unapologetically curious and we’re 100% committed to innovate space-based communications and deliver actionable intelligence that will expand global economies, protect space and our planet and enhance our overall quality of life. We are looking for a Wireless Test Engineer to help us validate next-generation 4G/5G communications systems that will power our constellation and ground infrastructure. In this role, you will own the test environment and test strategy for 3GPP-based wireless features, with a strong focus on PHY and protocol stack verification. You will develop automated test suites, analyze logs and pcap traces, and work closely with software, systems, and RF engineers to drive issues to closure and ensure high-reliability deployments for our space and ground products. This position is based in our Arlington, TX office.What you will do: • Set up and maintain the scripting and automation environment around wireless test setups (lab and HIL)., • Derive, design, and implement test cases for 3GPP Stack and PHY-level features (LTE and preferably 5G NR)., • Develop Python (and/or equivalent) scripts to automate test execution, log collection, and result analysis; contribute light C code where needed., • Perform software regression testing to validate new features, bug fixes, and releases., • Analyze test logs and pcap files to perform detailed failure analysis, identify root causes, and provide clear remediation recommendations., • Use wireless measurement and channel emulation equipment (e.g., Amarisoft, Viavi, Propsim, Spirent, Keysight, Rohde & Schwarz) to execute and debug test scenarios., • Track defects and issues using an issue-tracking system such as Jira, driving them through the full lifecycle with clear, reproducible descriptions., • Prepare and deliver concise test reports, maintain test repositories, and contribute to continuous improvement of test coverage and quality processes., • Collaborate closely with cross-functional teams (SW, FW, RF, systems, product) to ensure testability is designed into new features from the outset.What you bring to this role:, • Bachelor’s or Master’s degree in Electrical Engineering, Communication Theory, Software Engineering/Development, or a related field., • 5+ years of hands-on test engineering experience in wireless technology., • Documented experience testing 3GPP Stack and PHY systems, with strong expertise in LTE and preferably 5G NR., • Proficiency in Python scripting (or equivalent automation language), with familiarity in C., • Practical experience using wireless test and measurement tools such as Amarisoft, Viavi, Propsim, Spirent, Keysight, Rohde & Schwarz, or similar., • Experience with issue-tracking systems (e.g., Jira) and structured test processes., • Strong skills in analyzing logs and pcap captures, performing structured failure analysis, and clearly documenting findings., • Excellent communication skills and the ability to work in a fast-moving, cross-disciplinary environment.Bonus points for the following:, • Experience testing satellite, non-terrestrial networks (NTN), or other mission-critical wireless systems., • Background in test architecture for HIL systems or large-scale automated regression frameworks., • Familiarity with CI/CD pipelines and integrating automated tests into build/release processes. • An opportunity to really make a difference• Sustainability at our core• Fair and honest workplace• Innovative thinking is encouraged• Competitive salaries• Continuous learning and development• Health and wellness care options• Financial solutions for the future • Optional legal services (US only)• Paid holidays• Paid time off

Job Description Why CCI? CCI Systems, Inc. is an Employee-Owned Telecommunications Company based in Iron Mountain, MI with 60+ years of industry knowledge and experience. Our outstanding team-based work culture and environment has allowed us to grow, develop, and retain long-term employees. We offer a comprehensive benefits package, competitive pay, flexibility, paid on the job training, overtime, professional development, and inspire you to be bold, yet accountable. We value our employees’ hard work and determination and REWARD results all while having fun! Our mission is to make life better by connecting people through innovative communication systems. We are seeking a Permit Supervisor (Drafting) who plays a critical role in managing the permitting workflow and ensuring compliance with all applicable Federal, State, County, and Local regulations. This role requires advanced expertise in AutoCAD principles and standards, as well as Rights-of-Way permitting. The Supervisor is expected to lead the technical and administrative processes involved in the acceptance, preparation, drafting, review, and approval of permit drawings, supporting efficient and compliant project execution. Responsibilities • Oversee daily operations of the CAD team, including workload allocation, priority setting, and one-on-one meetings., • Provide constructive feedback, conduct performance evaluations, and create career development plans., • Lead hiring, onboarding, and team-building initiatives to foster a high-performing culture., • Develop, document, and enforce CAD standards covering layers, naming conventions, annotations, plotting protocols, and file structures., • Maintain the CAD Standards Manual and conduct regular audits to ensure compliance., • Implement drawing checklists, redlining/review cycles, and approval workflows to ensure accuracy and consistency., • Ensure compliance with industry standards such as NCS, ISO 128, and ASME Y14.5., • Identify process inefficiencies and apply lean methodologies and process mapping for continuous improvement., • Lead automation efforts using tool palettes, LISP routines, sheet set workflows, and custom macros., • Strategically plan resources and estimate drafting hours to align with project timelines., • Monitor KPIs such as on-time delivery, rework rates, and first-pass approval; implement corrective actions as needed., • Collaborate with engineers, architects, and project managers to align scopes, resolve design conflicts, and manage changes., • Maintain accurate drawing revisions and change logs for stakeholder visibility., • Curate and maintain standardized blocks, dynamic blocks, detail libraries, templates, and plot styles., • Ensure version control and accessibility of shared content across teams and locations., • Develop and deliver training programs, lunch-and-learns, SOPs, and reference materials to upskill the team., • Provide advanced CAD support and coordinate with IT to resolve technical issues., • Define structured project folders, naming conventions, archiving protocols, and backup/versioning practices., • Manage data integrity and access permissions within PDM/CDE environments., • Plan and coordinate software upgrades (e.g., AutoCAD), licensing, and feature testing., • Perform other related duties as assigned by management. Qualifications • 6+ years of professional CAD drafting/design experience, including 2+ years in a lead or supervisory role managing CAD teams and workloads., • Expert-level AutoCAD proficiency: dynamic blocks, xrefs, Sheet Set Manager, fields, parametric constraints, paper/model space best practices, and CTB/STB plotting., • Proven CAD standards development and enforcement: templates, layers/naming per NCS or equivalent, annotation styles, title blocks, and periodic standards audits., • Strong QA/QC capability: drawing checklists, redline/review workflows, approval gates, and familiarity with relevant codes/standards (e.g., ISO 128, ASME Y14.5/GD&T), • Automation/customization skills: AutoLISP/macros, and/or .NET/C#/Python scripting for tooling, batch routines, and productivity improvements., • Working knowledge of adjacent platforms and interoperability: Revit, Civil 3D, Plant 3D, Navisworks, IFC/DGN/DWG exchange, and coordinate systems., • Document and data control expertise: versioning, naming conventions, libraries (blocks/details), and experience with PDM/EDMS tools (e.g., Autodesk Vault, ProjectWise), • People leadership and coaching: onboarding, mentoring, performance feedback, conflict resolution, and running stand-ups and 1:1’s., • Project management fundamentals: scoping CAD tasks, estimating hours, scheduling, prioritizing multi-project pipelines, and managing change control., • Clear communicator with strong stakeholder skills: cross-discipline coordination with engineering/field teams, and ability to author SOPs, training materials, and reports for leadership. Shift is full-time Monday – Friday between the hours of 8:00 am – 5:00 pm PST. Must be flexible and willing to work outside normal business hours as necessary. Benefits: healthcare, retirement, paid leave (e.g., sick leave, PTO, company holidays), life insurance, AD&D, short-term disability, FSA, education reimbursement, wellness reimbursement, and employee assistance program (EAP).

Job DescriptionRegal Staffing Services is excited to announce several new opportunities for skilled Test Technicians for a manufacturing company located in the Arlington, TX 76011 area.Pay Rate: Starting at $22+/hour (based on experience) Available Shifts: • 1st Shift: 6:00 AM – 2:30 PM, • 2nd Shift: 2:00 PM – 10:30 PM, • 3rd Shift: 10:00 PM – 6:30 AMKey Responsibilities:, • Perform functional, environmental, and stress testing on electronic components and assemblies (e.g., PCBs, semiconductors, or finished electronic products)., • Set up and calibrate test equipment such as oscilloscopes, multimeters, signal generators, and automated test systems., • Conduct testing based on standard operating procedures (SOPs), engineering drawings, and customer requirements., • Identify, troubleshoot, and resolve issues related to defective components, faulty connections, or incorrect configurations., • Document test results, issues, and resolutions in a clear and concise manner., • Assist in the development and improvement of test procedures and methodologies to enhance accuracy and efficiency., • Collaborate with engineering and quality teams to resolve product issues and improve testing processes., • Perform automated testing using labVIEW, Python, or other scripting tools (if applicable)., • Maintain testing equipment and inventory, ensuring all tools are calibrated and in good working order.Qualifications:, • Associate’s degree in Electronics, Electrical Engineering, or a related technical field, or equivalent hands-on experience., • 2+ years of experience as a Test Technician in electronics or a related field., • Strong knowledge of electronic components, circuits, and troubleshooting techniques., • Proficient in using test equipment such as oscilloscopes, signal generators, and power supplies., • Familiarity with automated testing tools or test scripting languages (e.g., LabVIEW, Python, TestStand)., • Strong understanding of quality standards, including IPC-A-610, J-STD-001, and ESD handling procedures., • Excellent problem-solving and analytical skills., • Ability to work independently and as part of a team in a fast-paced environment., • Good communication skills for reporting test results and collaborating with other teams.Work Environment:, • Electronics assembly and testing environment., • Requires the use of safety equipment such as gloves and ESD protection., • May involve standing for long periods and working with small electronic components.How To Apply:, • If you have any questions, please contact us at 817-622-0962.

Job Description Job Summary We are seeking a Controls & Programming Engineer to design, program, and support automation systems and production test equipment. The primary focus is on controls engineering and machine programming (PLC, HMI, SCADA, automation test stands), with secondary responsibilities in IT-related integration such as data collection, system connectivity, and light network/database support. This hybrid role ensures that production equipment not only runs efficiently but also ties into higher-level business systems. Key Responsibilities Program and maintain PLC systems (Allen-Bradley, Siemens, Beckhoff, etc.) for production and test equipment. Design and configure HMI/SCADA applications for machine interfaces and process monitoring. Develop, debug, and maintain automation test stands (hydro, hydraulic, vision, end-of-line, etc.). Implement pass/fail logic and data acquisition for component and system validation. Troubleshoot and resolve electrical, mechanical, and software issues on production equipment. Maintain and update electrical schematics, wiring diagrams, and I/O documentation. Integrate machines with databases, MES, and ERP systems for traceability and reporting. Configure data logging, reporting dashboards, and automated test reports. Write light scripts or applications (SQL, Python, C#, LabVIEW) to support testing, reporting, or system connectivity. Ensure network connectivity, system security, and backups for connected equipment. Support development of best practices for automation, data integrity, and system reliability. Required Knowledge & Skills Proficiency in PLC programming (Allen-Bradley Studio 5000, Siemens TIA Portal, or equivalent). Hands-on experience with HMI/SCADA development (FactoryTalk, Ignition, WinCC, etc.). Strong understanding of industrial automation hardware (sensors, actuators, VFDs, relays, control panels). Knowledge of industrial communication protocols (EtherNet/IP, Modbus, Profinet, OPC-UA). Familiarity with automation test stands and validation methods (hydro, hydraulic, vision, or similar). Basic skills in scripting or software programming (Python, C#, SQL, or LabVIEW). Understanding of data integration between machines and MES/ERP systems. Working knowledge of networking basics and IT security best practices in industrial environments. Ability to read and create electrical schematics and I/O documentation. Strong problem-solving, troubleshooting, and root cause analysis skills. Excellent communication skills and ability to work with cross-functional teams (engineering, quality, IT, production). Technical Skills Required PLC Programming: Allen-Bradley (Studio 5000 / RSLogix), Siemens TIA Portal, Beckhoff TwinCAT, or equivalent. HMI/SCADA Development: FactoryTalk View, Ignition, WinCC, or similar. Automation Test Systems: Hydro test stands, end-of-line testers, vision inspection, or equivalent. Programming & Scripting: Python, C#, LabVIEW, or SQL (basic to intermediate). Industrial Networking: EtherNet/IP, Modbus, Profinet, OPC-UA, basic TCP/IP configuration. Electrical & Controls Hardware: Sensors, actuators, VFDs, relays, safety circuits, control panel wiring. Data Integration: Experience connecting automation systems to MES/ERP or database platforms. Documentation Tools: Ability to read and create electrical schematics, I/O lists, wiring diagrams (AutoCAD, EPLAN, or similar). Version Control/Change Management: Familiarity with Git or automation code versioning is a plus. Benefits: Competitive salary ($70,000–$90,000 based on experience) Health, dental and vision insurance options Supportive work environment with opportunity for growth Company DescriptionHeadquartered in Carrollton, Texas, AER Manufacturing and Sales is a world leader in the engine remanufacturing industry for over sixty years. AER Manufacturing and Sales provides the highest quality and service to its customers, offers diverse product lines, provides a strategic distribution network. AER Manufacturing and Sales continually strives to improve our products, ourselves and our processes by embracing innovation, testing new ideas, developing new technologies, enhancing the work processes and achieving greater efficiencies.Headquartered in Carrollton, Texas, AER Manufacturing and Sales is a world leader in the engine remanufacturing industry for over sixty years. AER Manufacturing and Sales provides the highest quality and service to its customers, offers diverse product lines, provides a strategic distribution network. AER Manufacturing and Sales continually strives to improve our products, ourselves and our processes by embracing innovation, testing new ideas, developing new technologies, enhancing the work processes and achieving greater efficiencies.

Job Description Under general supervision and reporting to the Data Integration Manager, the Digital Integration Lead and Business Analyst is responsible for developing and deploying TRIGO ADR’s data management infrastructure and providing business data analysis support (including but not limited to metrics, charts, creating reports and monitoring key performance indicators) to the Business team. ESSENTIAL JOB FUNCTIONS- Essential functions are the basic job duties that an employee must be able to perform, with or without reasonable accommodation. • Build and support implementation of company’s data management infrastructure through TRIGOScope and other tools / applications as required, • Responsible for data analysis and metrics generation for management team, • Define data output formats and develop new metrics that pertain to each management department, • Data management and follow up, • Create templates or management reports based on management data, • Support management pertaining to data analysis and metrics generation, • Ensure completeness and accuracy of all data, • Build reports and tools to assist management with key performance indicators and trends, • Assist with metrics generation for monthly, quarterly, or annual program reviews with customers, • Manage program implementation by evaluating potential risks and opportunities, • MS Excel, • MS PowerBI, • MS Outlook, • MS PowerPoint, • MS SharePoint, • MS Teams, • MS Power Automate, • MS Report Builder, • Python and/or R, • Program Management processes, • Fluent English – reading and writing is required, • Professionalism, integrity, and exceptional attention to detail, • Strong independent decision-making skills; excellent analytical skills and professional judgment, • Collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy, • Establish and maintain effective working relationships, • 5 years + admin experience in data analysis/metrics generation or related degree in data analytics and business processes, • Education – Bachelor’s degree required, • Experience with various MRP/ERP systems and data gathering, • Advanced user of Microsoft Excel, Word, Outlook, etc., • Experience with generating metrics to include V-Lookup, Pivot Tables, Formulas, etc., • Excellent oral and written communication skills, • Extremely detail-oriented and organized with a high level of commitment and follow-through, • A motivated self-starter who can work both autonomously and collaboratively LICENSES, CERTIFICATES & OTHER REQUIREMENTS • US citizenship required, • Pass pre-hire background check including DMV and credit screening, • Pass Pre-hire Drug Screening BENEFITS: • 12 days paid vacation first year, increasing with service years, • 10 days paid sick time, • 11 paid holidays, • Healthcare insurance available: Medical, dental, vision, STD, LTD, critical illness, life insurance for self and dependents, • Champ Plan Wellness and Health, • Free to employees working minimum 20 hours/week with anticipated $30k/annual earnings, • Participation increases net take home pay $$$ in most instances, • Free wellness initiatives, • Free tele-health, • Free and discounted RX, • Auto enrollment (unless tax elections result in negative impact), • Eligible on the 1st of the month following 30 days of continuous employment, • requires monthly 10-minute wellness activity participation, • 401k retirement savings with match, • Eligible on the first (1st) of the month following 90 days of continuous employment, • 100% match of 1st 3% contribution, • 50% match of next 2% contribution, • IMMEDIATE VESTING, • Company-provided cell phone, laptop, mobile wi-fi (for business use only), • Regular Hourly rate for travel time, • Direct Pay Travel arrangements for flights, hotels and rental cars, • Travel Reimbursements direct deposited with each payroll, • Federal rate Mileage reimbursement (.67/mile 2024) when driving personal vehicles on company business, • Per diem reimbursements for meals and incidentals, • Overnight trips - Up to $75, • Leaving home after 4 pm $40, • Federal rate mileage reimbursement (.67/mile 2024) when driving personal vehicles on company business, • Direct Pay Travel arrangements for flights, hotels and rental cars, • Travel Reimbursements direct deposited with each payroll, • Per diem reimbursements for meals and incidentals, • Overnight trips - Up to $75, • Leaving home after 4 pm $40, • $1500 EMPLOYEE REFERRAL BONUS, • Initial $750 paid upon hire of qualified referred employee (rehires excluded), • Additional $750 paid upon referral’s full completion of 90 days’ employment Company Overview TRIGO ADR Americas is the leader in the Aerospace & Defense Industry providing global Supplier Delivery Assurance, Supplier Development and Quality Management Services. Trigo provides a fully integrated service solution to optimize Supplier performance through an embedded “boots on the ground” business model to drive systemic changes that enhance Supplier Quality and Supplier Delivery performance. We work as an extension of our customers to build and maintain supplier and customer collaboration to ensure improved results and provide visibility throughout the supply chain. Trigo’s team of dedicated Delivery Assurance Specialists, Supplier Development Specialists, Supplier Quality Engineers and Program Managers support hundreds of Customers and are deployed to thousands of Suppliers worldwide focused on achieving On-Time and On-Quality Delivery results. TRIGO ADR Americas is an Equal Opportunity Employer, including disabled and veterans, and may require US Citizenship for employment on certain defense contracts subject to ITAR restrictions. All qualified candidates will receive consideration. Except where otherwise provided by law, selection will be made without regard to, and there will be no discrimination because of race, religion, color, national origin, sex, political affiliations, marital status, non-disqualifying physical or mental disability, age, sexual orientation, gender identity, genetic information, membership or non-membership in an employee organization, or on the basis of personal favoritism or other non-merit factors. . Powered by JazzHR XrkBe4xP6H

Job Description About Us Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency thats deeply embedded in our clients recruitment operations. We partner directly with: AI-first startups building products powered by LLMs, generative AI, intelligent automations, Established tech companies: scaling their ML infrastructure, recommendation systems, and data platforms, and Enterprise innovation teams integrating AI into traditional domains such as finance, healthcare, and logistics. We collaborate directly with founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems. Our Client Is a San Francisco based startup building a GenAI-native platform that automates one of the most complex, time-consuming challenges in finance and Tax and turning dense tax documents into structured, usable data in minutes. Their system processes everything from K-1s and K-3s to intricate footnotes with near-human precision, achieving over 99% accuracy on income lines and streamlining workflows across Excel and API integrations. They serve some of the most sophisticated players in private wealth, and asset management, helping them move faster and make better decisions in an industry where accuracy and speed define competitiveness. Backed by seasoned founders and AI leaders from top-tier tech companies like facebook and salesforce, this team combines product craftsmanship with cutting-edge machine learning to bring intelligence to a domain that has long resisted automation. Recently acquired by a global technology leader, the company now operates with the mindset, pace, and creative autonomy of a startup but with the stability, benefits, and resources of an established enterprise. Youll be joining a team of proven builders whove scaled products to acquisition, engineered systems that power billions of data points, and are now applying GenAI to redefine how financial data is understood, structured, and acted upon. Location: Union Square, San Francisco Work type: Full Time, 5 days a week On-Site. Compensation: above market base + bonus + equity Visa: sponsorship available for candidates with demonstrated brilliance and expertise. What we are looking for Were seeking an Applied AI / ML Engineer with 5+ years of experience building and scaling commercial machine learning systems in meaningful ownership roles, especially with document understanding and extraction. You are an exceptional builder who thrives at the intersection of real world features and AI/ML engineering, someone who not only understands how models work, but also how to use them to deliver real, measurable value to end users. This role is central as they scale their GenAI-native platform for tax document processing, combining the velocity of a startup with the backing of resources and reach of a large multi national firm. Roles & Responsibilities * Build and scale the ML and product infrastructure that powers intelligent tax document processing at production scale. * Design and optimize inference systems, dataset pipelines, and specific logic to improve accuracy, speed, and quality as we expand to millions of documents. * Collaborate closely with accountants and tax domain experts to deeply understand workflows, pain points, and quality thresholds translating insights into productized ML systems. * Integrate inference pipelines into a seamless, end-to-end experience that transforms how tax professionals process and interpret documents. * Develop expert systems that encode institutional tax knowledge into scalable, maintainable software components. * Drive experiments, measure outcomes, and iterate rapidly on core ML metrics. * Collaborate cross-functionally with product, engineering, and leadership to shape technical direction and influence product vision. Qualifications Core Experience * 4+ years of experience in machine learning / AI engineering with proven end-to-end ownership of ML-powered products. * Strong track record of building systems that create direct user value, not just research prototypes or internal tooling. * Demonstrated ability to work with large, complex datasets, optimizing for accuracy, scalability, and reliability. Strong fundamental understanding of how to build, measure, and iterate on ML systems and ML-powered enterprise or consumer products. * Comfortable with Python and popular ML libraries (e.g. pandas, scikit-learn, spaCy, pytorch, tensorflow, keras), cloud providers such as GCP/AWS, container technologies (e.g. Docker, Kubernetes), web application development including Python-based web servers (e.g. Flask, Django), and database and storage layers (e.g. Postgres, SQL, S3/GCS). * Experience deploying or integrating LLMs, LLM APIs, Agents and prompt engineering into production systems. * Strong Python proficiency and hands-on familiarity with ML infrastructure and data workflows. * Experience in document understanding, OCR, or applied NLP. * Exposure to financial or tax-related data environments. * Startup or 01 product experience. Soft Skills * Exceptional problem-solving ability, curiosity, and product intuition. * Strong communication skills with the ability to engage directly with domain experts and translate complex needs into technical solutions. * Growth trajectory demonstrated through promotions or increasing scope of responsibility. Other roles in Applied AI / ML in the US, check them out here: * Applied AI / ML engineer focusing on LLMs, and Knowledge Graphs: [

Job Description Suzhou Junchuang Auto Technologies, established in June 2005, is headquartered in Mudu Town, China - a historic town with a 2,500-year legacy on the shores of Taihu Lake. The company is committed to attracting top talent and fostering a culture that values family, innovation, and excellence. Our goal is to be the world-class automotive supplier, guided by our dedication to the highest standards of professionalism, technology, quality, and satisfaction. We prioritize not only our customers but also the well-being and satisfaction of our employees, ensuring a supportive and rewarding work environment. Benefits: • Full medical/health benefits, • 401k Retirement plan, • Salary: $60,000 to $65,000 per year Our work environment includes both modern office spaces and advanced manufacturing facilities specializing in plastic injection molding technology. In our contemporary office setting, you'll collaborate in a professional atmosphere featuring state-of-the-art IT infrastructure and ergonomic workstations. On the manufacturing floor, you'll find a cutting-edge plastic injection molding plant where precision and innovation come together. While we ensure top-notch quality in component production, you may occasionally notice mild odors and temperature variations typical of the manufacturing process. Safety is a top priority, with stringent protocols in place to ensure a secure workplace. Description: As an Automation Engineer at Junchuang North America, you will play a pivotal role in advancing our production processes through the design, implementation, and maintenance of automated systems. You will collaborate closely with cross-functional teams to optimize efficiency, reliability, and safety in our manufacturing operations, with a specific focus on plastic injection molding technology for EV components. Requirements/Responsibilities Job Responsibilities: -Design and Development: Conceptualize, design, and develop automated systems tailored to enhance the efficiency and productivity of plastic injection molding processes. -Programming and Integration: Program and integrate automation technologies, including robotic systems, PLCs (Programmable Logic Controllers), HMIs (Human-Machine Interfaces), and other control systems to streamline manufacturing operations. -System Optimization: Continuously analyze and optimize automated systems to improve throughput, minimize downtime, and enhance product quality. -Troubleshooting and Maintenance: Conduct routine maintenance activities and troubleshoot issues to ensure the uninterrupted operation of automated equipment. Develop preventive maintenance schedules and implement corrective actions as necessary. -Collaboration and Support: Collaborate with cross-functional teams, including production, engineering, and maintenance, to identify automation needs, address challenges, and implement solutions that align with business objectives. Communicate with automation team in headquarters to understand the design concept, specification and provide feedback loop. -Compliance and Safety: Ensure compliance with industry standards, regulations, and safety protocols in the design and operation of automated systems. Conduct risk assessments and implement appropriate safety measures to mitigate potential hazards. -Documentation and Reporting: Maintain accurate documentation of automation designs, configurations, and maintenance activities. Generate reports on system performance, efficiency improvements, and cost savings initiatives. -All other duties as assigned by Management. Requirements: -Bachelor’s degree in engineering (Automation Engineering, Electrical Engineering, Mechanical Engineering, Mechatronics Engineering or Robotics Engineering) -Proficiency in programming languages such as PLC ladder logic, C/C++, Python, or similar languages. Strong understanding of robotics, motion control systems, sensors, and actuators. Familiarity with CAD software for system design and simulation (e.g., UG, CATIA, SolidWorks, AutoCAD). -Proficient computer skills -Strong problem-solving skills. Be able to use tools, such as 5 why, fish bone, DOE, to systematically resolve machine and process issues Special Instructions Please do not send any emails, resumes, or call. We are making it really easy to apply for this position. Simply submit a ZippyApp application package which may include the Common Employment Application, Resume, and a Cover Letter. In your Cover Letter, please write a short paragraph describing yourself and why you would make a great addition to our team. ZippyApp is the Common Employment Application for online and mobile that allows you to apply for jobs with one click, and is being accepted at a growing number of businesses each day.