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Job DescriptionCompany Description Ulbrich was established in 1924 and is family-owned and privately held. An international corporation with subsidiaries located in the US, Mexico, Germany, and Austria. Ulbrich employs over 700 people worldwide. At Ulbrich, we are Improving Lives with More Than Metal. We work hard for each other, our families, and the communities we live in. The respect and integrity of Ulbrich team members, dedication to their professions, collaborative participation in lean, and ensuring that safety comes first, has created a culture that has a positive impact on the lives of many. We connect with the world through our responsibility to produce critical products that benefit mankind. The Ulbrich culture is guided by a set of shared values we call Our Core Tenets. The tenets we live by each day are Continuous Improvement, Quality Commitment, Family Values, Total Company Involvement, and Customer Responsiveness. Through practicing these shared values, we drive profitable growth and success. Come join the Ulbrich team and become part of a greater purpose and a promising future! Job Description Responsibilities Equipment Reliability & PM Optimization • Review and optimize PM procedures., • Analyze repetitive failures and engineer permanent solutions., • Evaluate bearings, seals, housings, lubrication, alignment, and wear patterns., • Scope, quote, design, and manage upgrades:, • Drive modernization (AC drives replacing DC, rectifier upgrades, SCR improvements)., • Mill rebuilds, roll changes, precision alignments., • Hydraulics upgrades (AGC, bending cylinders, tensioning)., • Instrumentation replacements (encoders, tachometers, tension cells, thickness gauges)., • Expansion projects., • Plan, sequence, and coordinate mill outages., • Create work packs, job safety analyses, checklists, and acceptance criteria., • Respond to unplanned downtime:, • Troubleshoot drives, transformers, encoders, PLC faults, mechanical jams, overloads, bearing failures, misalignment, and hydraulic issues., • Keep updated drawings, torque specs, electrical schematics, PM instructions., • Ensure compliance with company, OSHA, and industry standards., • Source parts, get quotes, coordinate repairs., • Work with OEMs (for example, Ungerer, Sendzimer, ABB, Siemens, Hitachi, Morgan, etc.)., • Track project budgets, downtime costs, maintenance expenses., • Train technicians on new systems., • Maintain “tribal knowledge” documentation., • Improve team competency in alignment, balancing, lubrication, safety, troubleshooting. Qualifications Qualifications Education • Solid understanding of mechanical, electrical, and controls systems., • Ability to read/interpret P&IDs, mechanical drawings, schematics, PLC I/O tags, power distribution diagrams, etc., • Skilled at diagnosing failures: mechanical, electrical, instrumentation, or process-related., • Able to perform root cause analysis (RCA) using methodologies such as 5-Why, fishbone, FMEA., • Knows how to manage capital projects, maintenance outages, rebuilds, upgrades, and equipment installations., • Writes clear work instructions, PMs, engineering reports, and capital request justifications., • Works well with maintenance techs, operators, management, and vendors., • Identifies chronic issues and develops long-term fixes., • Implements reliability tools—vibration analysis, oil sampling, thermography, ultrasonic leak detection., • Knows lockout/tagout (LOTO), arc flash boundaries, confined space, crane/rigging practices., • Treats equipment as “their asset.”, • PLC knowledge (Siemens S7/TIA, AB ControlLogix)., • Drive parameterization conventions (Siemens Micromaster/Phoenix, ABB DCS800, Eurotherm, Sprint)., • CAD or other similar experience (ex. AutoCAD, SolidWorks, etc.). Additional Information Ulbrich offers competitive wages, benefits and a friendly, safety focused work environment. Rewarding career opportunities in a world-class business environment where employees are committed to lean thinking and continuous improvement. At Ulbrich, We Deliver Precision® thanks to our highly-skilled and dedicated workforce. This position offers competitive salary and benefits and the opportunity to expand your skills within a company that offers both a diverse workforce and a welcoming company culture. Pay range for this role is $85,000 to $100,000 annually, dependent on relevant education/experience. Ulbrich is an Equal Opportunity Employer M/F/Veterans/Disabled

Job Description Our client is currently seeking an experienced Mechanical Engineer Project Manager to join their Mechanical, Electrical, Plumbing, and Fire Protection (MEPFP) team in their Greensboro, North Carolina office. Other office locations could be considered. Our client is looking for a motivated, responsible team player who wants to make a positive impact on society by working on a wide variety of projects, including high-profile engagements. They are an award-winning, multidisciplinary engineering firm established in 1957 and headquartered in Greensboro, North Carolina. Our client provides MEP, fire protection, and structural engineering services, as well as comprehensive building solutions, for their clients across the United States and Mexico. Our client serves their clients across various market sectors, including education, athletics, commercial, industrial, healthcare, transportation, multifamily housing, parks, entertainment, water resources, and religious buildings. Come grow with us! The successful candidate will provide leadership, project oversight, and team coordination, working on various impactful projects that contribute positively to our community and clients. Key Responsibilities: • Oversee and manage multiple projects to ensure timely, budget-compliant, and high-quality delivery., • Design and analyze mechanical systems, including HVACR, hydronic, plumbing, and fire protection., • Perform heating and cooling load calculations for building systems., • Prepare cost estimates, specifications, submittals, and RFI responses., • Conduct site visits, field measurements, and inspections., • Attend coordination meetings with team members and clients., • Foster client relationships, providing exceptional service and support., • Collaborate with Marketing & Business Development on RFQs, project interviews, and presentations.Requirements, • Bachelor’s degree in mechanical engineering (master’s degree preferred)., • 10 plus years of relevant experience, ideally in a consulting engineering environment., • Professional Engineer (PE) license with eligibility for licensure in NC, SC, or VA., • In-depth knowledge of mechanical systems, ASHRAE guidelines, and building codes, especially related to HVAC, boilers, chillers, duct sizing, and piping., • Experience with commissioning, plumbing, and fire protection systems is a plus., • Proven ability to manage multiple projects across various phases, from inception to construction., • Proficiency in AutoCAD, Revit, Microsoft Office, and Bluebeam., • Healthcare Insurance (Medical, dental, and vision), • 401k Matching, • Generous PTO and Holiday Time, • Educational and Teambuilding Events, • Hybrid Work Environment, • Mentorship Program, • Tuition Reimbursement Program

Job DescriptionBenefits: • 401(k), • Company parties, • Competitive salary, • Free uniforms, • Careers Advancement Opportunities, • Flexible Scheduling As an Diesel Engine Mechanic, you must have an in-depth understanding of all vehicle systems and components. You will also be responsible for maintaining repair shop equipment, preparing cost estimates, and maintaining a welcoming environment. The ideal candidate is skilled in communicating with customers, able to explain vehicle issues clearly and concisely and provide valuable advice. Responsibilities • Inspecting and repairing vehicles with diesel engines, • Running diagnostic tests, • Handling routine repairs, including oil and tire changes, • Interpreting diagnostic test results, • Writing detailed inspection reports and repair plans, • Managing a team of trainees, • Collaborating with other diesel mechanics, • Presenting reports and plans to clients for approvalQualifications, • High school diploma or GED is required, • Associate degree or completion of an automotive service technician training program is preferred, • Automotive Service Excellence/ASE certification or Society of Automotive Engineers/SAE certification is preferred, • Strong customer service and communication skills are required

Job Description Why FUCHS? Because Your Success Moves Us. At FUCHS, we believe in empowering people to grow, innovate, and thrive. Our culture is built on trust, respect, integrity, and creativity, and we back it up with real opportunities for development, a strong work/life balance, and the freedom to make an impact. When you join FUCHS, you’re not just taking a job, you’re launching a career. Salary: FUCHS offers a competitive salary commensurate with experience in a similar position. The salary range for this position is $90,000 - $100,000 per year, but actual salary will vary depending upon a new hire’s experience and qualifications as well as internal equity. Your Responsibilities: As an Application Engineer at FUCHS, you will play a critical role in bridging technical expertise with commercial strategy. Your key responsibilities include: • Serve as the primary technical liaison between commercial teams and R&D to drive new product development and optimize existing portfolios., • Support strategic growth initiatives for aerospace, semiconductor, and related industry segments., • Provide expert technical guidance on grease and fluid lubricants for targeted industries., • Collaborate with customers to identify new business opportunities and deliver tailored solutions., • Monitor industry trends and emerging technologies, ensuring compliance with customer and regulatory requirements., • Champion FUCHS’ culture of innovation, delivering comprehensive lubrication solutions to meet market needs., • Develop proposals and technical recommendations for new products and applications based on market insights., • Navigate approval processes and ensure compliance with industry standards., • Partner with product managers to support lifecycle management, product approvals, and training initiatives., • Lead customer field trials and technical projects, including coordination, analysis, and reporting., • Engage cross-functional teams (sales, key account management, business development) to ensure successful project execution and knowledge sharing., • Represent FUCHS at trade organizations and industry events, strengthening our market presence., • Contribute to global and regional technical communities, sharing expertise and best practices., • Develop and utilize training materials, product guides, case studies, and marketing collateral to support internal and external stakeholders., • Bachelor’s degree in engineering, Business or Science related backgrounds, • 3+ years of either business, engineering, or sales experience, • Strong knowledge of lubrication, engineering, or aerospace industry, • Open to travel (10-20%), • A dynamic, supportive team environment, • Competitive pay Fuchs Lubricants Co. is an equal employment opportunity (EEO)/AA employer and strongly supports diversity in the workplace (m/f/d/v). Do you have any questions? Rosalinda Almanza () will be more than happy to answer them!

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!

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.

1\. Role Overview Mercor is collaborating with a leading AI research lab on a project to advance engineering problem-solving at the frontier of artificial intelligence. We are seeking experienced engineers with strong backgrounds in analytical problem design, real-world systems modeling, or competitive engineering problem-solving (university competitions, design challenges, or advanced coursework). The goal of this project is to create novel, rigorous, and multi-step engineering problems that challenge cutting-edge AI models—specifically those that cause the AI to fail or demonstrate reasoning limits—while supporting the improvement and training of advanced AI systems. This is a short-term, high-impact, fully remote opportunity for engineering professionals eager to apply their deep technical expertise to frontier AI research, with the possibility of project continuation based on performance. ## 2\. Key Responsibilities - Design original, advanced engineering problems that require creative reasoning, multi-domain integration, and precise analytical thinking. - Evaluate AI-generated engineering solutions for technical accuracy, completeness, and adherence to physical and practical constraints. - Identify logical gaps, incorrect modeling assumptions, or computational inaccuracies. - Provide complete, clear, and well-documented solutions and derivations using LaTeX formatting for equations and schematics. - Maintain high standards of technical precision, rigor, and conceptual depth. ## 3\. Required Qualifications Note: Applicants must be proficient in creating and formatting technical documents using LaTeX. You are a strong fit for this project if you have one or more of the following: - Advanced degree (or equivalent experience) in mechanical, electrical, civil, aerospace, or chemical engineering, or a related field. - Experience designing or grading complex analytical or design-focused problems (university level or professional exams). - Participation in or mentorship for engineering design or modeling competitions is preferred(e.g., Formula SAE, Shell Eco-marathon, ASME/IEEE/AIChE contests, robotics challenges, or design sprints). - Research or teaching experience involving applied problem formulation and quantitative modeling. Other qualifications: - Deep understanding of core engineering principles and real-world systems. - Ability to communicate step-by-step reasoning, assumptions, and derivations clearly. - Strong intuition for problem difficulty, structure, and conceptual progression. - Detail-oriented verification of results and internal consistency. ## 4\. More About the Opportunity - Time commitment: Minimum 20 hours/week; up to 40 hours/week available - Duration: Approximately 2 months, with strong potential for extension - Rolling onboarding; start typically within 1–2 days after approval ## 5\. Compensation & Contract Terms - $60–80 per hour, depending on experience and demonstrated performance - Open to contributors worldwide (English proficiency required) - Independent contractor arrangement - Weekly payments via Stripe Connect ## 6\. Application Process 1. Submit your resume or CV highlighting your engineering background and relevant accomplishments. 2. Participate in a short interview (20–30 minutes). 3. Complete a brief form outlining your experience with problem design, engineering challenges, or teaching. 4. Selected applicants will receive follow-up steps within a few days. ## 7\. About Mercor Mercor is a talent marketplace connecting top professionals with leading AI research organizations and technology labs. Its investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. Thousands of professionals across science, engineering, and research disciplines have partnered with Mercor to contribute to frontier AI initiatives shaping the next era of innovation. We encourage all qualified applicants to apply. Mercor provides equal opportunity and reasonable accommodations upon request.

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.

Bachelor’s degree in Computer Science, Software Engineering, or equivalent experience strongly preferred. The Full Stack Development Engineer is responsible for the design, development, implementation, and support of web application frameworks that integrate the front-end user experience with back

HVAC Mechanic/Building Engineer must have a minimum of (5-8) years' experience in building maintenance and operation, maintaining facilities and working on large commercial heating and air conditioning equipment. Dae Sung, LLC is currently seeking a full-time HVAC Mechanic-Building Engineer to suppo

Solution Architect Job Duties: Responsible for assisting in the establishment of an IT Architecture practice, and the adoption of an architecture and standards methodology.Manages activities that

Monitor and recommend new and/or upgraded technologies in respect to maintaining cybersecurity threat protection, including Wazuh for security monitoring, Exchange Online Protection, and various antivirus solutions to ensure robust protection against cyber threats. Install, upgrade, and configure em