Research and development engineer jobs in Fernway, PA

Job Title: Machine Learning Lead Engineer Duration: 6 month Contract-to-Hire Education/Experience Required: Leading ML/DS projects in an industrial setting, experience working with time-series data and SCADA applications. Job Description & Responsibilities : Lead end-to-end delivery of data engineering and machine learning projects that improve operational efficiency and reduce emissions in natural gas development, production, and midstream operations. Own the full lifecycle of ML solutions from ideation and scoping, to data discovery, modeling, validation, deployment, and long-term monitoring. Provide technical leadership for a small but high-impact Data Engineering & Machine Learning team, including mentoring, code reviews, and setting best practices for quality and reliability. Work on-site with engineering, operations, and SCADA teams on-site to understand real-world constraints, define use cases, and translate business problems into data-driven solutions. Lead the effort to productionize existing models and scale multiple proof-of-concept solutions into robust, maintainable, and observable production systems. Architect, design, and implement data pipelines that ingest, clean, transform, and store large volumes of time-series and event data from SCADA systems, field sensors, and other industrial data sources. Develop and refine machine learning models focused on time-series problems such as forecasting, anomaly detection, remaining useful life estimation, and performance optimization of assets. Contribute to and help lead Digital Twin Analytics initiatives, integrating physics-based and data-driven models to simulate and optimize complex systems in the field. Collaborate on the design and implementation of anomaly detection frameworks that surface early warning signals for equipment failure, process instability, and emissions events. Partner with software and DevOps engineering to design and implement MLOps practices, including CI/CD for ML, feature stores, model versioning, model performance tracking, and automated retraining pipelines. Establish standards for model validation, A/B testing, and offline/online evaluation to ensure robustness and reliability in operational environments. Communicate technical concepts, tradeoffs, and results clearly to both technical stakeholders and non-technical operations leaders, including presenting insights and recommendations to leadership. Evaluate new tools, libraries, and cloud-native services in the data and ML ecosystem and make recommendations to improve performance, scalability, and developer productivity. Champion a culture of experimentation, data quality, and continuous improvement while keeping a strong focus on safety, regulatory compliance, and environmental impact. Skills & Qualifications : Bachelor's degree in Computer Science, Data Science, Engineering, Applied Mathematics, or a related field; a graduate degree is preferred but not required with sufficient experience. 7+ years of hands-on experience in Data Science, Machine Learning, or Data Engineering, with at least 2+ years in a lead or senior role driving projects from concept to production. Strong proficiency in Python for data engineering and machine learning, including experience with common data and ML libraries (for example pandas, NumPy, scikit-learn, PyTorch or TensorFlow, statsmodels). Strong SQL skills and experience working with relational databases, time-series databases, or data warehouses for large-scale analytics. Proven experience working with time-series data in industrial or operational settings, including feature engineering, resampling, handling missing data, and building time-series forecasting or anomaly detection models. Experience integrating and analyzing SCADA data or similar industrial control and telemetry systems in energy, utilities, manufacturing, or related heavy industry. Solid understanding of data engineering concepts including ETL/ELT pipelines, batch and streaming architectures, and data modeling for analytical workloads. Hands-on experience with cloud platforms (such as AWS, Azure, or GCP) and modern data tooling, for example cloud storage, managed databases, containerization, and workflow orchestration tools. Practical exposure to MLOps practices, including deployment of models to production, monitoring model performance in real time, and maintaining models over their lifecycle. Familiarity with concepts and techniques related to Digital Twin Analytics, physics-informed models, or asset performance management in an industrial context is a strong plus. Strong software engineering fundamentals including version control (Git), code review practices, testing, and documentation. Demonstrated ability to lead cross-functional initiatives, prioritize a portfolio of projects, and manage stakeholder expectations in a fast-moving environment. Excellent communication skills, with the ability to explain complex technical concepts clearly and to influence decision making among operations leaders, field engineers, and executives. Willingness to work on-site in the Pittsburgh, PA area and periodically visit field or plant locations as needed; relocation support is available for exceptional candidates.

eNGINE builds Technical Teams. We are a Solutions and Placement firm shaped by decades of interaction with Technical professionals. Our inspiration is continuous learning and engagement with the markets we serve, the talent we represent, and the teams we build. Our Consulting Workforce is encouraged to enjoy career fulfillment in the form of challenging projects, schedule flexibility, and paid training/certifications. Successful outcomes start and finish with eNGINE. eNGINE is seeking a Senior Cloud Operations Engineer to design, implement, and optimize frameworks for continuous integration, deployment, and delivery of products across AWS, Azure, and Google Cloud environments. This position combines deep technical expertise with leadership and architecture-level decision-making. You will be a critical contributor to our cloud transformation initiatives while ensuring performance, scalability, and security across our platforms. This is a hybrid role so candidates must be local to Pittsburgh. What You'll Do Architect, implement, and maintain public cloud-hosted software products and services (AWS, Azure, GCP). Plan, configure, and manage cloud environments for internal and external stakeholders. Deploy and operate fault-tolerant, scalable, and secure systems in the cloud. Lead migrations of existing on-premises applications to the cloud. Establish best practices for cloud deployment, operations, and automation. Estimate cloud usage costs and develop optimization strategies. Write automation scripts; review code; participate in documentation and unit testing. Configure system access, performance monitoring, and security controls. Integrate cloud-hosted applications with external customer and third-party systems. Conduct research and develop proofs of concept for emerging technologies. Enhance cloud application security and guide architecture decisions. Support additional technical or operations duties as needed. Qualifications BS/MS in Computer Science or related technical discipline. 7+ years of experience deploying applications (cloud or on-premise). 7+ years working with automated build/deployment systems. Expert programming abilities in .NET, C#, Bash, Python, or Java. Strong understanding of SQL, web technologies, scripting, and overall software architecture. Hands-on experience with CI/CD tools (Jenkins, Bamboo) and build frameworks (Ant, Maven). Proven experience with Infrastructure as Code (IaC). Strong Microsoft Azure experience is required. No C2C/sponsorship/relocation available. Apply today and see how eNGINE can make a difference in your career!

Shape Your World At Alcoa, you will become an essential part of our purpose: to turn raw potential into real progress. The way we see it, every Alcoan is a work-shaper, team-shaper, idea-shaper & world-shaper. The Research and Development Technician will be part of a collaborative team developing new technologies related to aluminum production in electrolytic cells of various scales. The candidate will work with a team to develop and manufacture components for use in aluminum processing, along with maintaining records of observations, results, and data from experiments. Our team at Alcoa Technical Center (ATC), located in New Kensington, PA, consists of individuals with diverse backgrounds and expertise, including scientists, engineers, and technicians. About the Role This is your opportunity to shape your career through the skills and experience you bring to the role now and by training for the roles you may want in the future. Our success depends on great teams, where you can thrive and do your best work in a supportive environment. * Operate processing equipment, including mixers, mills, extruders, dryers and furnaces. * Operation of cranes and fork trucks (On-site training to be provided). * Collaborate with a team to develop new materials and processes, collect samples, and report findings. * Complete tasks around and with equipment where fumes, dust, and chemicals exist (PPE required). * Understand and follow safe work instructions in line with Alcoa's policies and procedures. * Perform work in crouching, kneeling, and stooping positions. What you can bring to this role: * High school diploma, GED, or trade school degree in mechanical/electrical trades. * Candidates with experience in a manufacturing environment preferred but not required. * Good mechanical skills, comfortable using hand tools. * Ability to perform material handling (up to x pounds), weighing, following process steps in sequence, and documenting process data. * Valid Driver's License required. * Flexible with schedule changes. Preferred Qualifications: * 2 years relevant work experience in a light industry environment (example: vehicle repair garages, paint and chemical production, building maintenance shops, metal work, millwork, and cabinetry work) * 2 years relevant work experience in the testing or laboratory environment * 2 years relevant work experience with materials processing What we offer: * Shift differentials, overtime & holiday pay * 120 hours of paid vacation per year (prorated based on hire date your first year). * Flexible spending accounts and generous employer contribution to the HSA * 401(k), employer match up to 6%, additional employer retirement income contribution (no vesting period), and a non-qualified deferred compensation plan * 10 holidays and one flexible holiday of your choice. * 56 hours of sick/safe leave * 4 hours of Paid annual volunteer hours * Alcoa has been chosen as one of America's Greatest Workplaces 2023 by Newsweek #LI-TL2 About the Location Every day is a new and exciting challenge at the Alcoa Technical Center in New Kensington, PA, just north of Pittsburgh. We develop new technologies with our Breakthrough Technologies team that has the potential to impact the life of millions of people and foster the sustainable footprint from Alcoa to the world. It was here where we developed the technology recently announced in partnership with Rio Tinto, called ELYSIS, where we will produce aluminum with ZERO emission of greenhouse gases. In fact, we will actually be generating oxygen to our atmosphere during the aluminum production process- a revolution to the aluminum industry! We are values led, vision driven and united by our purpose of transforming raw potential into real progress. Our commitments to Inclusion, Diversity & Equity include providing trusting workplaces that are safe, respectful and inclusive of all individuals, free from discrimination, bullying and harassment and that our workplaces reflect the diversity of the communities in which we operate. As a proud equal opportunity workplace and affirmative action employer, Alcoa is dedicated to providing equal opportunities and equal access to all individuals regardless of a person's gender, age, race, ethnicity, sexual orientation, gender identity, religion, nation of origin, disability, veteran status, language spoken or any other characteristic or status protected by the laws or regulations in the places where we operate. If you have visited our website in search of information on U.S. employment opportunities or to apply for a position, and you require an accommodation, please contact Alcoa Recruiting via email at ***********************. This is a place where you are empowered to do your best work, be your authentic self, and feel a true sense of belonging. Come join us and shape your career! Your work. Your world. Shape them for the better.

7404 McKnight Rd. Pittsburgh, PA 15237 < Back to search results Our To-Go Specialists are responsible for providing fast service and great hospitality for our To-Go Guests. If you take pride in great team work and love making people feel special, then we want to hear from you! * Fast hiring process * Flexible part-time or full-time schedule * Growth opportunities * Great team atmosphere and culture Responsibilities * Have knowledge of the menu to explain offerings to Guests * Ensure an exceptional To-Go experience for every Guest * Answer phone within three rings and assist Guests with placing To-Go orders * Enter orders in proper sequence * Able to operate POS system for transactions About Us Chili's was born in Dallas, Texas in 1975. Since then, we've boldly claimed our place in the casual dining industry as the place to go for Big Mouth burgers, house smoked ribs, full on fajitas, and hand shaken margaritas! With a legacy deeply rooted in service, hospitality, and giving back, we are committed to delivering the best experience to every Guest, every day. About You * Dependable team player * Prefers to work in a fast-paced environment * Great multitasking skills * Welcoming demeanor

Job Description Motional's Pittsburgh office is located in the new Hazelwood Green development, a culmination of the city's goal of restoring an economic driver to the neighborhood in a thoughtful, inclusive, and sustainable way. With views along the Monongahela river, the Pittsburgh office is in the heart of this new state of the art development. Mission Summary: Our Vehicle Engineering team, focused on Vehicle and Product Systems in Pittsburgh, is seeking a highly motivated Staff Mechanical Engineer to own and drive complex, cross-functional mechanical design and fabrication initiatives for our next-generation vehicle prototypes and systems. This role will serve as a key technical authority, defining system-level architecture for mechatronic systems for automated driving and leading execution with minimal oversight, ensuring alignment with broad business and product objectives. What you'll do: Own complex, cross-functional initiatives that span multiple subsystems or technical domains. Define the system-level architecture and drive execution with minimal oversight, ensuring alignment with business and product objectives. Serve as a key technical authority within the domain and lead others through technical influence rather than formal authority. Lead the design and drive the end-to-end delivery of complex mechanical components and systems for next-generation in-vehicle prototypes and benchtop systems, such as mechatronic systems for automated driving, requiring coordination across multiple engineering teams. Create detailed 3D CAD models and robust engineering drawings for manufacturing. Create comprehensive Bills of Materials (BOM) and assembly documentation, anticipating integration and reliability challenges across systems and proactively developing mitigation strategies. Design, build, and continually improve internal processes, documentation, and structure for the team, focusing on scalability, efficiency, and quality across multiple quarters. Define and implement rigorous testing plans for vehicles and subsystems. Perform initial testing and debugging of newly-assembled systems, ensuring high-quality, scalable, and reliable engineering solutions that advance department and company objectives. Build strong partnerships across multiple teams (hardware, software, systems, manufacturing, operations) and disciplines to define requirements, explain complex trade-offs, and drive consensus to integrate complex systems in vehicles. Provide technical mentorship and guidance to cross-functional team members. Serve as a trusted technical partner and advisor, driving consensus among engineers, product managers, and leadership on complex technical decisions. Own the manufacturing BOM and Engineering Change Notice (ECN) process for complex systems. Source critical suppliers and parts, creating robust documentation for outsourced components. Develop and document comprehensive system-level requirements for prototype and production vehicle systems, considering all sub-systems and translating complex technical challenges into measurable business outcomes (e.g., manufacturability, efficiency). Help define the technical roadmap and architecture, proactively identifying cross-functional dependencies and risks based on technology and business needs. What we're looking for: 10+ years relevant experience, preferably in the automotive, robotics, or automation fields, with a proven track record of driving goal-level impact across multiple teams or subsystems. Expert-level experience designing and fabricating prototypes using advanced CAD tools (e.g., Solidworks and Catia V5) and manual methods. Expert ability to operate machine tools (mill, press, CNC, etc.), as well as standard mechanics and power tools; extensive experience with 3D printing tools and rapid prototyping techniques for complex systems. Deep comfort debugging, disassembling, modifying, and installing electrical and mechanical systems in vehicles, anticipating system-level integration challenges. Expert experience in specifying, integrating, troubleshooting, and testing electronics, motors, and sensors within highly complex mechatronic systems. Expert-level expertise with manufacturing BOM and ECN processes, and experience with supplier management for high-complexity, cross-functional assemblies. Proven ability to work effectively within rigid design, integration, and time constraints, delivering high-quality, scalable, and reliable execution. Advanced proficiency in collaboration, including the ability to build strong partnerships and drive consensus among engineers and stakeholders. Ability to communicate clearly and proactively, ensuring technical risks and trade-offs are well understood across all stakeholders, including occasional work outside of standard hours to accommodate international collaboration. Someone self-motivated, organized, flexible, and able to balance and prioritize multiple diverse and goal-level initiatives with minimal oversight. Bachelor's degree or higher in Mechanical Engineering or related field. This role is based in our Pittsburgh office and requires in-office days each week. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$156,000-$210,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit **************** and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

About Panther: Panther is unlocking the tremendous biological powers of our skin to deliver a wide range of shelf-stable treatments. Panther's precisely engineered microarray patches (MAPs) are focused on: i) Skin Health, treating coloration, wrinkles, scars, wounds, etc.; and ii) Therapeutics, treating ailments along the immunological spectrum, including infectious diseases, cancer, allergies and autoimmune diseases. Panther's MAPs are designed to deliver superior efficacy and high levels of usage/adherence, and enable automated data integration across its ecosystem of consumers, providers and treatment developers. Panther's AI enabled platform provides personalized customer care and accelerated treatment discovery. Via advanced GMP manufacturing, direct-to-consumer distribution and consumer self-application, Panther's MAPs are affordable, simultaneously enabling universal access and commercial success. Panther is led by accomplished tech, biotech and health professionals The Opportunity: We are seeking a highly motivated and detail-oriented Associate Scientist/R&D Engineer to join our interdisciplinary team focused on the development and scale-up of microneedle array patch (MAP) technologies. This role will support the innovation, optimization, and implementation of novel manufacturing methods while conducting analytical testing to evaluate quality, performance, and reproducibility. The ideal candidate has a strong background in chemistry, materials science, biomedical/chemical engineering, or a related field, with hands-on experience in laboratory-scale process development and analytical techniques. Key Responsibilities: Manufacturing Development Develop and optimize novel manufacturing processes, including mold casting, drying, curing, and sterilization techniques. Collaborate with cross-functional teams to support scale-up activities from lab to pilot scale. Assist senior team members with daily tasks. Analytical Testing Conduct mechanical testing and dimensional analysis on MNA patches. Perform chemical or biochemical assays to evaluate content uniformity, stability, or degradation Document and interpret data to assess impact of manufacturing changes on product quality. Documentation & Compliance Maintain accurate and organized lab notebooks, batch records, and process documentation. Contribute to the drafting of SOPs, technical reports, and regulatory submission materials as needed. Adhere to internal quality and safety standards. Lab Management Maintain laboratory supplies and organization Order and track all purchases while working with vendors and representatives for pricing Required Qualifications: B.S. or M.S. in Biomedical Engineering, Materials Science, Chemical Engineering, Pharmaceutical Sciences, or a related discipline. 0-3 years of hands-on experience in a laboratory or manufacturing environment (academia, industry, or internship). Familiarity with polymeric materials, hydrogels, microneedles, or drug delivery systems is highly preferred. Experience with analytical tools such as microscopy, mechanical testers, HPLC, or spectroscopy. Strong problem-solving, data analysis, and communication skills. Preferred Qualifications: Knowledge of sterilization techniques Familiarity with process validation or GMP/GxP environments. Experience with protein-based systems or biologic drug delivery, with a preference for those skilled in HPLC and Mass spectrometry. Understanding of sterilization techniques. Benefits Health Insurance includes Medical, Dental, Vision, and Life Insurance. Equity (Full-time roles only and varies by country). In-person company meetups. Some travel may be required. Virtual events. Work with a world-class team in technology and healthcare on the most innovative solutions. Unlimited PTO and Paid Company Holidays. Equal Opportunity Employer Panther Life Sciences is an equal opportunity employer committed to building a diverse and inclusive workplace. We welcome applicants from all backgrounds and do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, pregnancy, marital or partnership status, age, national origin, citizenship, veteran or military status, disability, medical condition, genetic information, caregiver status, or any other characteristic protected by law.

APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday. CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday. If you are NOT a current employee or student, please click “Apply” and complete the application process for external applicants. Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants. POSITION SPECIFICS The Electro-Optics Center (EOC), located in Freeport PA, a Division in the Applied Research Laboratory (ARL) at Penn State University, is seeking a Photonics Research and Development Engineer with expertise in Optical Communications, supporting military and intelligence community customers. You Will: Perform research and development tasks in optical communications. These include system-based analysis tasks as well as prototype development and testing Communicate and document results in reports and presentations Assist with development of proposals for projects Assist in new concept development; analyzing alternatives independently and applying engineering techniques and procedures to assignments Lead optical communication related projects of small or moderate size and scope, making substantial contributions Engage with government customers to identify opportunities and provide potential solutions that lead to funded projects Provide technical leadership within the division for optical communications Chair sessions at technical conferences/meetings; participate in external seminars, workshops, professional societies and committees Independently manage multiple and/or large optical communications projects Lead the development of proposals and projects that further our knowledge of optical communications Develop and maintain long-term professional relationships with relevant manufacturers and system integrators, as well as with government sponsors, to ensure projects meet customer requirements and are consistent with ARL's position of trust and strategic mission Participate in strategic planning initiatives and collaborate with engineers in other technical areas across ARL Required skills and experience includes: 10+ year's experience in guided (fiber), free-space or under-sea optical communications Optical system design, especially as it relates to free space and/or fiber optical communication systems Communication architectures, systems, protocols, devices, media, and integration Hands-on prototyping and demonstration of optical and RF components, links, and networks Interfacing with, collection from, and diagnosis of data from hardware Communicate, document, and present results Preferred skills and experience includes: A Master's degree in Engineering, Physics, Optics, or a related field is highly desired Significant experience in the development and understanding of optical communication architectures, systems, protocols, devices, media, and integration - especially as it pertains to military applications Expert knowledge of current state-of-the-art systems, optical propagation, laser communications systems and subsystems Space-based payload and systems experience Experience with end-to-end optical remote sensor development Current relationships with optical suppliers and familiar with the optics vendor ecosystem Business development experience with government customers Project management and leadership Experience with VPI or OptSim or the like is a bonus An active Secret security clearance with eligibility for TS/SCI is highly desirable Your working location will be full onsite located in Freeport, PA. Questions related to flexible work should be directed to the hiring manager during the interview process. MINIMUM EDUCATION, WORK EXPERIENCE & REQUIRED CERTIFICATIONS Bachelor's Degree - Engineering or Science 19+ years of relevant experience Required Certifications: None ARL's purpose is to research and develop innovative solutions to challenging scientific, engineering, and technology problems in support of the Navy, the Department of Defense (DoD), and the Intel Community (IC). FOR FURTHER INFORMATION on ARL, visit our web site at **************** BACKGROUND CHECKS/CLEARANCES Employment with the University will require successful completion of background check(s) in accordance with University policies.All positions at ARL require candidates to possess the ability to obtain a government security clearance; you will be notified during the interview process if this position is subject to a government background investigation. You must be a U.S. citizen to apply. Employment with the ARL will require successful completion of a pre-employment drug screen. SALARY & BENEFITS The salary range for this position, including all possible grades, is $141,700.00 - $219,600.00.**THE PROPOSED SALARY RANGE MAY BE IMPACTED BY GEOGRAPHIC DIFFERENTIAL** Salary Structure - Information on Penn State's salary structure Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being. In addition to comprehensive medical, dental, and vision coverage, employees enjoy robust retirement plans and substantial paid time off which includes holidays, vacation and sick time. One of the standout benefits is the generous 75% tuition discount, available to employees as well as eligible spouses and children. For more detailed information, please visit our Benefits Page. CAMPUS SECURITY CRIME STATISTICS Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here. EEO IS THE LAW Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact ************. 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This is an exempt salary position where the employee is responsible for designing and estimating mechanical work projects within the Conveyors manufacturing group specializing in developing tailor-made, cost-effective analytical solutions for conveyor systems. EDUCATION/EXPERIENCE: * Minimum Three (3) Years Mechanical Design Experience Required * Minimum Three (3) Years Estimator Experience Required * Two-to-Five (2-5) Years Demonstrated CADD Experience Required * Ross ERP & Microsoft Dynamics Customer Relations Management (CRM) Software Experience Preferred QUALIFICATIONS: * Excellent analytical, problem solving and organizational skills with ability to work autonomously and/or collaboratively on multiple projects * Creativity is an essential part of brainstorming new ideas, developing or improving products so they are of good quality, meet space or weight limitations, and achieve the cost objectives of customers * Ability to listen effectively, articulate goals and progress of project(s), and communicate with a team of sales, research, and/or management personnel to meet needs of customers * Understanding of manufacturing techniques, costs. * Functional knowledge of Ross ERP and Microsoft Dynamics CRM Software * Proficient math, science, and computer skills * Proficient in CAD software (e.g., AutoCAD, SolidWorks, Illustrator). * Strong understanding of machining processes, materials, and tolerances. * "Team member" mentality with complementing ability to self-motivate, multi-task in fast-paced environment, and prioritize to meet ever changing deadlines * Close visual acuity, near vision, fine manipulation, upper limb coordination, and ability to sit for extended periods while performing essential job duties * Medium (up to 60 lbs.) lifting capability while performing essential job duties * Ability to work 40+ hours flexible schedule that may require frequent domestic travel. * Assignment location is 258 Kappa Drive Pittsburgh PA. Plant locations in Blairsville Pa and Lebanon Va. Travel required. RESPONSIBILITIES: * Receiving Requests for Quotes (RFQ) and developing accurate cost estimates and detailed drawings. * Develop and Update drawings using AutoCAD or Illustrator. * Analyze labor, material, equipment, time requirements, etc. through material take-offs of detailed drawings. * Interface with Corporate Purchasing Department for pricing to prepare detailed, organized estimates of costs. * Present prepared estimates by compiling numerical and descriptive information. * Prepare and submit required reports. * Perform any other related job duty as requested by executive or plant management to ensure timely, accurate project design and estimation. * Excellent benefits include medical with a standard PPO plan with deductibles as low as $1,500 and wellness credit up to $750; voluntary 401k plan currently matching up to 12%; voluntary dental and vision plans; free telemedicine services; basic life, long and short-term disability coverage. EOE M/F/D/V

Agility Robotics is a pioneer. Our robot, Digit, is the first to be sold into workplaces across the globe. Our team is differentiated by its expertise in imagining, engineering, and delivering robots with advanced mobility, dexterity, intelligence, and efficiency -- robots specifically designed to work alongside people, in spaces built for people. Every day, we break through engineering challenges and invent new solutions and capabilities that will one day make robots commonplace and approachable. This work is our passion and our responsibility: our mission is to make businesses more productive and people's lives more fulfilling. About the Role The AI innovation team at Agility works on building and deploying next-generation robot foundation models and end-to-end policies on humanoid robots. Your goal will be to develop and test cutting-edge methods for imitation learning and reinforcement learning on humanoid robots, in order to establish the techniques necessary for humanoid robots to perform different real-world tasks. You will work on a team, running experiments on humanoid robots, and will research and implement methods which can be transferred into production. About The Work Design, train, and deploy robust policies for locomotion, manipulation, and dynamic interactions with the environment. Develop core reinforcement learning infrastructure, including scalable training pipelines and evaluation frameworks. Design and implement new simulation environments and tasks to support training and deployment of control policies. Develop, design, and test imitation learning methods Collaborate with Robotics Software and AI engineering teams to develop policies which can be transferred to production About You 3+ years of experience developing and deploying learning-from-demonstration Strong programming skills in Python, with proficiency in deep learning frameworks such as PyTorch. Experience with modern learning-from-demonstration tools like DiffusionPolicy Experience with robot data collection, training, and testing on hardware to perform manipulation tasks. Ability to work collaboratively in a fast-paced environment to deliver safe, high-quality software. Bonus Qualifications Advanced degree (MS or PhD) in Robotics, Computer Science, or a related field. Publications in top ML or robotics conferences (e.g. NeurIPS, ICML, CoRL, RSS, ICRA). Familiarity with robot simulation environments (e.g. Mujoco, Isaac Sim) and sim-to-real transfer techniques. Experience with modern reinforcement learning techniques for locomotion, manipulation, and whole-body control Experience with writing performant, high quality software in C++ This role is hybrid based out of any of our three office locations in Pittsburgh, Salem, or San Francisco Bay Area. Full-time Employees are eligible for Benefits: 401(k) Plan: Includes a 6% company match. Equity: Company stock options. Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees. Benefit Start Date: Eligible for benefits on your first day of employment. Well-Being Support: Employee Assistance Program (EAP). Time Off: Exempt Employees: Flexible, unlimited PTO and 10 company holidays, including a winter shutdown. Non-Exempt Employees: 10 vacation days, paid sick leave, and 10 company holidays, including a winter shutdown, annually. On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations. Parental Leave: Generous paid parental leave programs. Work Environment: A culture that supports flexible work arrangements. Growth Opportunities: Professional development and tuition reimbursement programs. Relocation Assistance: Provided for eligible roles. All of our roles are U.S.-based. Applicants must have current authorization to work in the United States. Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment. Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly. Apply Now: ***************************

The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. Our interview process involves several technical interviews and we aim to complete them within 1 week. What You'll Do Work alongside machine learning researchers, engineers, and product managers to bring our AI Voices to their customers for a diverse range of use cases Deploy and operate the core ML inference workloads for our AI Voices serving pipeline Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of our deployed models Build tools to give us visibility into our bottlenecks and sources of instability and then design and implement solutions to address the highest priority issues An Ideal Candidate Should Have Experience shipping Python-based services Experience being responsible for the successful operation of a critical production service Experience with public cloud environments, GCP preferred Experience with Infrastructure such as Code, Docker, and containerized deployments. Preferred: Experience deploying high-availability applications on Kubernetes. Preferred: Experience deploying ML models to production What We Offer A dynamic environment where your contributions shape the company and its products A team that values innovation, intuition, and drive Autonomy, fostering focus and creativity The opportunity to have a significant impact in a revolutionary industry Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more An active role at the intersection of artificial intelligence and audio - a rapidly evolving tech domain The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects. Position Overview We are hiring Research Engineers to develop scalable robotic systems aimed at achieving general-purpose robotic intelligence. In this role, you'll work with researchers and engineers to implement state-of-the-art machine learning and robot systems. The ideal candidate has a strong technical background, experience in turning research into practical solutions, and a drive to build impactful applications. Responsibilities Develop and implement new algorithms for training and optimizing general-purpose robot foundation models. Design and engineer systems to scale research from prototypes to fully deployable solutions, working with large-scale systems and datasets. Conduct cutting edge research across multiple disciplines (Perception, Robotics, RL/ IL, Machine Learning, etc.). Collaborate with a multidisciplinary team, contributing to the integration of research insights into practical robotics applications. Optimize machine learning models for real-world robotic systems. Preferred Qualifications BS, MS or PhD degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience. Proficiency in Python and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc. Strong track record of publishing papers and/or deploying real-world applications. Deep technical knowledge, and research experience in deep learning, reinforcement and/or imitation learning, robotics, or computer vision. Experience working with robot systems and large-scale model training. Base Salary Range $100,000 - $300,000 USD

Carnegie Mellon University is a private, global research university that stands among the world's most renowned education institutions. With ground-breaking brain science, path-breaking performances, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn't imagine the future, we invent it. If you're passionate about joining a community that challenges the curious to deliver work that matters, your journey starts here! The Civil and Environmental Engineering Department at Carnegie Mellon offers a unique interdisciplinary program that enables you to develop imaginative solutions to real-world engineering problems. With access to cutting-edge research and technology, high achieving, energetic - yet approachable - faculty, and an innovative and flexible curriculum, we consistently rank among the top engineering programs by US News and World Report. The Civil and Environmental Engineering Department at Carnegie Mellon is seeking a Research Associate II to develop GIS teaching materials incorporating case studies and research outcomes. Under general supervision will design experiments and research protocols as well as perform complex analysis to report results. Core Responsibilities: Maintains administrative records. Tracks and adheres to established budgets. Writes and edits recommendations and reports. Collects, verifies and manages data. Performs data analysis in order to produce reports. Documents and processes results. Develops quantitative models. Contributes to overall project planning and acts as lead to coordinate portions of a large project or study. Ensures project deadlines are met. With some supervision, designs experiments and research protocols. Performs related duties as assigned. Adaptability, excellence, and passion are vital qualities within Carnegie Mellon University. We are in search of a team member who can effectively interact with a varied population of internal and external partners at a high level of integrity. We are looking for someone who shares our values and who will support the mission of the university through their work. Qualifications: Bachelor's degree A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered. Requirements: Successful background check Joining the CMU team opens the door to an array of exceptional benefits. Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance. Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more! For a comprehensive overview of the benefits available, explore our Benefits page. At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it's about finding the perfect fit for your professional growth and personal aspirations. Are you interested in an exciting opportunity with an exceptional organization?! Apply today! Location Pittsburgh, PA Job Function Researchers Position Type Staff - Fixed Term (Fixed Term) Full Time/Part time Part time Pay Basis Hourly More Information: Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world. Click here to view a listing of employee benefits Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran. Statement of Assurance

About Eos Energy Enterprises Eos Energy Enterprises, Inc. is accelerating the shift to American energy independence with positively ingenious solutions that transform how the world stores power. Our breakthrough Znyth™ aqueous zinc battery was designed to overcome the limitations of conventional lithium-ion technology. It is safe, scalable, efficient, sustainable, manufactured in the U.S., and the core of our innovative systems that today provides utility, industrial, and commercial customers with a proven, reliable energy storage alternative for 3 to 12-hour applications. Eos was founded in 2008 and is headquartered in Edison, New Jersey. For more information about Eos (NASDAQ: EOSE), visit eose.com. The Senior Advanced Manufacturing Engineer will work with internal stakeholders and outside contractors to execute projects to support manufacturing scale up. This will require managing medium to large scale projects from concept, through capital funding planning and approval, and ultimately through successful implementation of automation and facility projects to meet the goals of the business. Responsibilities Demonstrated ability to effectively work with suppliers, outside contractors and stakeholders and recommend development of best practices to improve assembly/manufacturing methods and procedures. Impacts the achievement of part design related to design for assembly/manufacturing, error proofing, fixture design, and incorporating quality monitoring and improvement measures to drive results. Works independently and as part of a team on complex projects. Collaborate with partner groups in development and review of manufacturing process for new products, design changes, or new manufacturing methods. Recommend, evaluate, and implement new technologies to improve efficiency or enhance flexibility of manufacturing operations with a focus on launch site capability. Partner with leadership, operations and engineering teams to ensure that new equipment projects align with the manufacturing strategy and build plans. Be accountable to deliver operability, reliability, and functional integrity of automated manufacturing equipment for handover to operations. Lead facility expansion efforts to support scaling of manufacturing sites, new and existing. Education and Experience Bachelor's degree in engineering preferred Minimum of 10 years' experience Experience and understanding of complex automated manufacturing systems and components (electrical and pneumatic control, PLC and HMI devices, sensors, servo motors, vision systems, and robotics) Good understanding of supporting processes associated with the operations and maintenance of a production plant. Experience in manufacturing engineering and plant operations with direct experience in automated production processes, equipment support, and manufacturing best practices. Proficiency in use of AutoCAD Travel Overnight/North America: Less than 10% Working Conditions Office Environment - Must be able to remain in a stationary position 50% of the time and occasionally move about inside the office to access file cabinets, office machinery, etc. Required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading. May be required to exert up to 25 pounds of force occasionally to lift, carry, push, pull or otherwise move objects, including the human body. Factory - The worker may be subject to hazards. Includes a variety of physical conditions, such as proximity to moving mechanical parts, vibration, moving vehicles, electrical current, exposure to temperature changes or exposure to chemicals. While performing the duties of this job, the employee may be exposed to fumes, airborne particles, odors, dust, mists, and gases. The noise level in the work environment can be loud. Required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading; visual inspection involving small defects, small parts, and/or operation of machines (including inspection); using measurement devices; and/or assembly or fabrication parts at distances close to the eyes. Machinery operation requires the use of safety equipment to include but not limited to eye safety glasses, hearing protectors, work boots, and lab coats. May be required to exert up to 35 pounds of force occasionally to lift, carry, push, pull or otherwise move objects, including the human body.

Looking for meaningful work where you can make a difference in global innovation? Engineer a better future with Aerotech, a global leader in precision motion and automation. Our customers create some of the most innovative products on the planet, from life-saving medical devices to tools for deep space exploration. Our precision motion and automation systems make it all possible. Build a lasting, satisfying career at Aerotech, where we foster growth, empower employees and promote from within. You'll find unparalleled opportunities and a company that values your voice. We also provide an extensive total rewards compensation system, including: Bonus payments every 6 months Rich health plans Retirement planning with our 100% company-paid Employee Stock Ownership Trust If you're mechanically inclined or technically savvy with a passion for cutting-edge technology, we want to hear from you. Position Summary: As an Electrical Manufacturing Engineer I, you will play a key role in enhancing our production capabilities for advanced robotic systems used in the medical and electronics industries. You will focus on designing and implementing automation tools, integrating sensors for data collection, and improving manufacturing processes for PCBs, electronics, and motors to drive efficiency and quality. Essential Functions: Design, develop, and improve manufacturing processes with a primary focus on Printed Circuit Boards (PCBs), electronics assemblies, wiring harnesses, and motors. Develop microcontroller robotic automation tools, and automated test equipment to enhance production efficiency and enable integrating and retrofitting sensors into manufacturing equipment for critical data collection. Assist in the analysis of collected manufacturing data to identify trends and drive process improvements. Collaborate with other engineering groups to provide guidance on Design for Manufacturability (DFM) for new and existing products. Assist troubleshooting and problem-solving efforts in manufacturing departments. Develop clear work instructions and procedures to document proper manufacturing processes. Assist with the physical layouts of manufacturing cells and assembly areas and acquires information and prepares feasibility studies or justifies purchase or building of new equipment Develop training methodology and assist with technical training on new equipment and processes. Additional duties: Assists with physical layout of manufacturing cells and assembly areas Acquires information and prepares feasibility studies for purchasing new equipment Participate in meetings, seminars, and training sessions to stay apprised of new developments in field Confer with workers in other departments such as sales, marketing, engineering and administration to provide technical information and implementation of operating procedures and to resolve system malfunctions As assigned Knowledge, skills, and abilities: Effective verbal and written communication skills Strong analytical and problem-solving skills Ability to define problems, collect data, establish facts, and draw valid conclusions Ability to interpret a variety of technical instructions in mathematical or diagram form Experience with Python or C programming is strongly preferred Familiarity with electrical CAD/ECAD software (e.g. AutoCAD Electrical, Altium, KiCad, SolidWorks) is preferred A basic understanding of database queries (e.g., SQL) is a plus Minimum Qualifications: Bachelor of Science (BS) degree in technical discipline such as Electrical Engineering from an accredited college or university Equivalent combination of education and experience may be considered Must be authorized to work in the United States without employer sponsorship. Aerotech does not provide US work authorization sponsorship for this position. OPT and CPT visa holders are not eligible for employment if they will need work authorization sponsorship at any time in the future. Benefits Aerotech has been advancing industries with our precision motion technology for more than 50 years. Our employees are our future, and we continue to grow by investing in our employees through continuous paid on-the-job training in a clean and climate-controlled environment, while providing the following exceptional benefits and more! Competitive compensation Bi-annual bonus Annual raise eligibility UPMC Health Insurance Dental insurance Vision insurance Life insurance Retirement Plan Employee Stock Ownership Trust 401k Paid time off Parental leave Referral program Professional development assistance Tuition reimbursement As an Equal Employment Opportunity/Affirmative Action Employer all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, Veteran or disability status. The Company is collecting the information requested in this employment application for purposes of evaluating your suitability for hire by the Company. The Company will share the information that you provide in this employment application only with Company management officials who are involved in the hiring process or who are otherwise involved in making employment-related decisions on behalf of the Company.

Job Description Navarro Research and Engineering is recruiting for a Specialized Welding Engineer III in West Mifflin, PA. An active DOE L Clearance (or DOD equivalent) is required to be considered. 25% telework is allowable. Navarro Research & Engineering is an award-winning federal contractor dedicated to partnering with clients to advance clean energy and deliver effective solutions for complex challenges in the nuclear and environmental fields. Joining Navarro means being a part of an exceptional team committed to quality and safety while also looking for innovative strategies to create value for the client's success. Headquartered in Oak Ridge, Tennessee, Navarro has active programs in place across the nation for DOE/NNSA, NASA, and the Department of Defense. Do you want to work for the world's best Navy? Work with a team of engineers supporting repair technology development efforts by leading test programs both within a laboratory setting and via commercial subcontracts. This challenging and rewarding position offers opportunities to continue developing and expanding technical skills through complex assignments involving established as well as novel technologies, and interpersonal skills through numerous interfaces including stakeholders and support groups across the Naval Nuclear Laboratory, our shipyards, and Naval Reactors Headquarters in Washington, DC. Applicant must be able to plan, follow, and execute work efforts, conceive and produce technical instructions and procedures, track procurement actions / budget performance, and write technical submittals and recommendations. Candidate will also contribute to the development of novel repair techniques, by drafting, placing, following and reporting subcontracted repair method development/demonstration contracts. The position will also require some travel to vendors and shipyards to support project planning, equipment testing and repair deployment. Primary responsibilities will include teaming with other engineers as you identify, research, test, and evaluate metallic and non-metallic repair technologies, leveraging existing welding, machining, and other industrial processes. There is also a Project Management focus on the responsibilities of the position. This includes project planning, assignment of work, coordination of resources, and reporting of project performance within NNL's broader repair technology development community. Requirements BS Degree in Welding Engineering, Materials Science & Engineering, Mechanical Engineering or related field from an accredited college or university and a minimum of 10 years of relevant experience; or MS Degree in Welding Engineering, Materials Science & Engineering, Mechanical Engineering or related field from an accredited college or university and a minimum of 7 years of relevant experience. Candidates must have experience making technical presentations and have the ability lead/execute laboratory operations in a productive, timely, and compliant manner. Should be able to help develop, test, evaluate, and eventually qualify repair procedures in the laboratory and consult with various fabrication vendors and shipyards. Repair operations which may be supported include gas tungsten arc welding, gas metal arc welding, shielded metal arc welding, epoxies/composites, and mechanical/machining processes. The candidate will need to have or learn the ability to develop and interpret specifications, drawings, and engineering standards. Applicant must be able to plan and execute work programs, design experiments, analyze experimental results, and prepare technical reports. Desired Knowledge, Skills, and Abilities Candidates that have automated/mechanized gas tungsten arc welding experience and that have demonstrated acumen in executing laboratory work are preferred. Familiarity with inspection methods is a plus. Excellent individual initiative and creativity will enhance the successful candidate's value in this position. Due to the nature of the government contract requirements and/or clearances requirements, US citizenship is required. Navarro is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, race, religion, color, national origin, age, disability, veteran's status or any classification protected by applicable state or local law. EEO Employer/Vet/Disabled Benefits Benefits include medical, dental, and vision insurance; short- and long-term disability insurance; pension benefits*; 401(k) retirement savings plan with employer match; life and accidental death and dismemberment (AD&D) insurance; vacation/sick/holiday pay*. *Based on eligibility rules

Job Title: Machine Learning Lead Engineer Duration: 6 month Contract-to-Hire Education/Experience Required: Leading ML/DS projects in an industrial setting, experience working with time-series data and SCADA applications. Job Description & Responsibilities: Lead end-to-end delivery of data engineering and machine learning projects that improve operational efficiency and reduce emissions in natural gas development, production, and midstream operations. Own the full lifecycle of ML solutions from ideation and scoping to data discovery, modeling, validation, deployment, and long-term monitoring. Provide technical leadership for a small but high-impact Data Engineering & Machine Learning team, including mentoring, code reviews, and setting best practices for quality and reliability. Work on-site with engineering, operations, and SCADA teams on-site to understand real-world constraints, define use cases, and translate business problems into data-driven solutions. Lead the effort to productionize existing models and scale multiple proof-of-concept solutions into robust, maintainable, and observable production systems. Architect, design, and implement data pipelines that ingest, clean, transform, and store large volumes of time-series and event data from SCADA systems, field sensors, and other industrial data sources. Develop and refine machine learning models focused on time-series problems such as forecasting, anomaly detection, remaining useful life estimation, and performance optimization of assets. Contribute to and help lead Digital Twin Analytics initiatives, integrating physics-based and data-driven models to simulate and optimize complex systems in the field. Collaborate on the design and implementation of anomaly detection frameworks that surface early warning signals for equipment failure, process instability, and emissions events. Partner with software and DevOps engineering to design and implement MLOps practices, including CI/CD for ML, feature stores, model versioning, model performance tracking, and automated retraining pipelines. Establish standards for model validation, A/B testing, and offline/online evaluation to ensure robustness and reliability in operational environments. Communicate technical concepts, tradeoffs, and results clearly to both technical stakeholders and non-technical operations leaders, including presenting insights and recommendations to leadership. Evaluate new tools, libraries, and cloud-native services in the data and ML ecosystem and make recommendations to improve performance, scalability, and developer productivity. Champion a culture of experimentation, data quality, and continuous improvement while keeping a strong focus on safety, regulatory compliance, and environmental impact. Skills & Qualifications: Bachelor's degree in Computer Science, Data Science, Engineering, Applied Mathematics, or a related field; a graduate degree is preferred but not required with sufficient experience. 7+ years of hands-on experience in Data Science, Machine Learning, or Data Engineering, with at least 2+ years in a lead or senior role driving projects from concept to production. Strong proficiency in Python for data engineering and machine learning, including experience with common data and ML libraries (for example pandas, NumPy, scikit-learn, PyTorch or TensorFlow, statsmodels). Strong SQL skills and experience working with relational databases, time-series databases, or data warehouses for large-scale analytics. Proven experience working with time-series data in industrial or operational settings, including feature engineering, resampling, handling missing data, and building time-series forecasting or anomaly detection models. Experience integrating and analyzing SCADA data or similar industrial control and telemetry systems in energy, utilities, manufacturing, or related heavy industry. Solid understanding of data engineering concepts including ETL/ELT pipelines, batch and streaming architectures, and data modeling for analytical workloads. Hands-on experience with cloud platforms (such as AWS, Azure, or GCP) and modern data tooling, for example cloud storage, managed databases, containerization, and workflow orchestration tools. Practical exposure to MLOps practices, including deployment of models to production, monitoring model performance in real time, and maintaining models over their lifecycle. Familiarity with concepts and techniques related to Digital Twin Analytics, physics-informed models, or asset performance management in an industrial context is a strong plus. Strong software engineering fundamentals including version control (Git), code review practices, testing, and documentation. Demonstrated ability to lead cross-functional initiatives, prioritize a portfolio of projects, and manage stakeholder expectations in a fast-moving environment. Excellent communication skills, with the ability to explain complex technical concepts clearly and to influence decision making among operations leaders, field engineers, and executives. Willingness to work on-site in the Pittsburgh, PA area and periodically visit field or plant locations as needed; relocation support is available for exceptional candidates. For more information or to view other opportunities, visit us at ******************* Paladin Consulting is an EEOC employer.

Shape Your World At Alcoa, you will become an essential part of our purpose: to turn raw potential into real progress. The way we see it, every Alcoan is a work-shaper, team-shaper, idea-shaper & world-shaper. The Research and Development Technician will be part of a collaborative team developing new technologies related to aluminum production in electrolytic cells of various scales. The candidate will work with a team to develop and manufacture components for use in aluminum processing, along with maintaining records of observations, results, and data from experiments. Our team at Alcoa Technical Center (ATC), located in New Kensington, PA, consists of individuals with diverse backgrounds and expertise, including scientists, engineers, and technicians. About the Role This is your opportunity to shape your career through the skills and experience you bring to the role now and by training for the roles you may want in the future. Our success depends on great teams, where you can thrive and do your best work in a supportive environment. Operate processing equipment, including mixers, mills, extruders, dryers and furnaces. Operation of cranes and fork trucks (On-site training to be provided). Collaborate with a team to develop new materials and processes, collect samples, and report findings. Complete tasks around and with equipment where fumes, dust, and chemicals exist (PPE required). Understand and follow safe work instructions in line with Alcoa's policies and procedures. Perform work in crouching, kneeling, and stooping positions. What you can bring to this role: High school diploma, GED, or trade school degree in mechanical/electrical trades. Candidates with experience in a manufacturing environment preferred but not required. Good mechanical skills, comfortable using hand tools. Ability to perform material handling (up to x pounds), weighing, following process steps in sequence, and documenting process data. Valid Driver's License required. Flexible with schedule changes. Preferred Qualifications: 2 years relevant work experience in a light industry environment (example: vehicle repair garages, paint and chemical production, building maintenance shops, metal work, millwork, and cabinetry work) 2 years relevant work experience in the testing or laboratory environment 2 years relevant work experience with materials processing What we offer: Shift differentials, overtime & holiday pay 120 hours of paid vacation per year (prorated based on hire date your first year). Flexible spending accounts and generous employer contribution to the HSA 401(k), employer match up to 6%, additional employer retirement income contribution (no vesting period), and a non-qualified deferred compensation plan 10 holidays and one flexible holiday of your choice. 56 hours of sick/safe leave 4 hours of Paid annual volunteer hours Alcoa has been chosen as one of America's Greatest Workplaces 2023 by Newsweek #LI-TL2 About the Location Every day is a new and exciting challenge at the Alcoa Technical Center in New Kensington, PA, just north of Pittsburgh. We develop new technologies with our Breakthrough Technologies team that has the potential to impact the life of millions of people and foster the sustainable footprint from Alcoa to the world. It was here where we developed the technology recently announced in partnership with Rio Tinto, called ELYSIS™, where we will produce aluminum with ZERO emission of greenhouse gases. In fact, we will actually be generating oxygen to our atmosphere during the aluminum production process- a revolution to the aluminum industry! We are values led, vision driven and united by our purpose of transforming raw potential into real progress. Our commitments to Inclusion, Diversity & Equity include providing trusting workplaces that are safe, respectful and inclusive of all individuals, free from discrimination, bullying and harassment and that our workplaces reflect the diversity of the communities in which we operate. As a proud equal opportunity workplace and affirmative action employer, Alcoa is dedicated to providing equal opportunities and equal access to all individuals regardless of a person's gender, age, race, ethnicity, sexual orientation, gender identity, religion, nation of origin, disability, veteran status, language spoken or any other characteristic or status protected by the laws or regulations in the places where we operate. If you have visited our website in search of information on U.S. employment opportunities or to apply for a position, and you require an accommodation, please contact Alcoa Recruiting via email at ***********************. This is a place where you are empowered to do your best work, be your authentic self, and feel a true sense of belonging. Come join us and shape your career! Your work. Your world. Shape them for the better.

Job Description This is an exempt salary position where the employee is responsible for designing and estimating mechanical work projects within the Conveyors manufacturing group specializing in developing tailor-made, cost-effective analytical solutions for conveyor systems. EDUCATION/EXPERIENCE: Minimum Three (3) Years Mechanical Design Experience Required Minimum Three (3) Years Estimator Experience Required Two-to-Five (2-5) Years Demonstrated CADD Experience Required Ross ERP & Microsoft Dynamics Customer Relations Management (CRM) Software Experience Preferred QUALIFICATIONS: Excellent analytical, problem solving and organizational skills with ability to work autonomously and/or collaboratively on multiple projects Creativity is an essential part of brainstorming new ideas, developing or improving products so they are of good quality, meet space or weight limitations, and achieve the cost objectives of customers Ability to listen effectively, articulate goals and progress of project(s), and communicate with a team of sales, research, and/or management personnel to meet needs of customers Understanding of manufacturing techniques, costs. Functional knowledge of Ross ERP and Microsoft Dynamics CRM Software Proficient math, science, and computer skills Proficient in CAD software (e.g., AutoCAD, SolidWorks, Illustrator). Strong understanding of machining processes, materials, and tolerances. “Team member” mentality with complementing ability to self-motivate, multi-task in fast-paced environment, and prioritize to meet ever changing deadlines Close visual acuity, near vision, fine manipulation, upper limb coordination, and ability to sit for extended periods while performing essential job duties Medium (up to 60 lbs.) lifting capability while performing essential job duties Ability to work 40+ hours flexible schedule that may require frequent domestic travel. Assignment location is 258 Kappa Drive Pittsburgh PA. Plant locations in Blairsville Pa and Lebanon Va. Travel required. RESPONSIBILITIES: Receiving Requests for Quotes (RFQ) and developing accurate cost estimates and detailed drawings. Develop and Update drawings using AutoCAD or Illustrator. Analyze labor, material, equipment, time requirements, etc. through material take-offs of detailed drawings. Interface with Corporate Purchasing Department for pricing to prepare detailed, organized estimates of costs. Present prepared estimates by compiling numerical and descriptive information. Prepare and submit required reports. Perform any other related job duty as requested by executive or plant management to ensure timely, accurate project design and estimation. *Excellent benefits include medical with a standard PPO plan with deductibles as low as $1,500 and wellness credit up to $750; voluntary 401k plan currently matching up to 12%; voluntary dental and vision plans; free telemedicine services; basic life, long and short-term disability coverage. EOE M/F/D/V

The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. Our interview process involves several technical interviews and we aim to complete them within 1 week. What You'll Do Researching and implementing state-of-the-art in NLP and TTS or CV with a focus on image generation Work on building the most human sounding AI speech model in the world An Ideal Candidate Should Have Experience with research and development in NLP or TTS or CV with a focus on image generation. Experience in ML Preferred : Experience deploying NLP or TTS models to production at a large scale Experience managing engineers and growing a research & development team Experience programming in Python: Tensorflow and PyTorch frameworks specifically. What We Offer A fast-growing environment where you can help shape the culture An entrepreneurial crew that supports risk, intuition, and hustle A hands-off approach so you can focus and do your best work The opportunity to make an impact in a transformative industry A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.