Machining engineer jobs in Pittsburgh, PA - 504 jobs

As a Modeling Engineer, you will develop and refine advanced finite element models to support structural, thermal, and materials-focused analyses. You will run complex simulations, interpret results, and turn those insights into practical design guidance. You will collaborate with teams and material scientists to align modeling approaches with real-world testing, improve predictive accuracy, and influence product development. You will also apply optimization methods, support validation efforts, and give your findings through reports and presentations. You will report to PPG offers excellent Medical, Dental, & Vision Benefits; matching 401k + retirement savings; and Paid Vacation, Holiday pay. Key Responsibilities Build and manage detailed finite element models for mechanics analysis and potentially heat conduction problems., components, and materials under static, dynamic, thermal, and nonlinear loading conditions. Perform linear/nonlinear structural, thermal, impact, and fatigue analyses using commercial FEA tools (e.g., ABAQUS, ANSYS, LS-DYNA, COMSOL). Interpret results to assess design performance, identify critical stress/strain locations, and recommend design improvements. Develop and calibrate constitutive models for metals, polymers, composites, or coatings based on experimental data. Apply Design of Experiments (DoE), parametric studies, and topology/shape optimization techniques to support customer product design. Collaborate with material scientists to design validation experiments, compare simulation predictions to physical test results, and refine models for improved accuracy and predictive power. Work with design, manufacturing, and product development teams to translate engineering insights into relevant design or process changes. Prepare technical documentation, analysis reports, and presentations summarizing modeling work. Qualifications A BS or MS degree in mechanical engineering, aerospace engineering, or related technical subject, with CAD and FEA course studies, hands-on experience with Abaqus or Ansys tools. 2 years+ validated, related experience. Record of accomplishments in mechanics analysis: coursework, projects, publications and conference presentations. Hands-on laboratory experience on mechanical experimental techniques. Proficiency in using commercial CAD tools. Must be a U.S. Person as defined by U.S. export control regulations (i.e., U.S. citizen or lawful permanent resident) to comply with government project #LI-onsite About us: Here at PPG we make it happen, and we seek candidates of the highest integrity and professionalism who share our values, with the commitment and drive to strive today to do better than yesterday - everyday. PPG: WE PROTECT AND BEAUTIFY THE WORLD™ Through leadership in innovation, sustainability and color, PPG helps customers in industrial, transportation, consumer products, and construction markets and aftermarkets to enhance more surfaces in more ways than does any other company. To learn more, visit *********** and follow @ PPG on Twitter. The PPG Way Every single day at PPG: We partner with customers to create mutual value. We are "One PPG" to the world. We trust our people every day, in every way. We make it happen. We run it like we own it. We do better today than yesterday - everyday. PPG provides equal opportunity to all candidates and employees. We offer an opportunity to grow and develop your career in an environment that provides a fulfilling workplace for employees, creates an environment for continuous learning, and embraces the ideas and diversity of others. All qualified applicants will receive consideration for employment without regard to sex, pregnancy, race, color, creed, religion, national origin, age, disability status, marital status, veteran status, sexual orientation, gender identity or expression. If you need assistance to complete your application due to a disability, please email ******************. PPG values your feedback on our recruiting process. We encourage you to visit Glassdoor.com and provide feedback on the process, so that we can do better today than yesterday. Benefits will be discussed with you by your recruiter during the hiring process. PPG pay ranges and benefits can vary by location which allows us to compensate employees competitively in different geographic markets. PPG considers several factors in making compensation decisions including, but not limited to, skill sets, experience and training, qualifications and education, licensure and certifications, and other organizational needs. Other incentives may apply. Our employee benefits programs are designed to support the health and well-being of our employees. Any insurance coverages and benefits will be in accordance with the terms and conditions of the applicable plans and associated governing plan documents.

Niche is the leader in school search. Our mission is to make researching and enrolling in schools easy, transparent, and free. With in-depth profiles on every school and college in America, 140 million reviews and ratings, and powerful search tools, we help millions of people find the right school for them. We also help thousands of schools recruit more best-fit students, by highlighting what makes them great and making it easier to visit and apply. Niche is all about finding where you belong, and that mission inspires how we operate every day. We want Niche to be a place where people truly enjoy working and can thrive professionally. About The Role We are looking for our first Staff Machine Learning Engineer to establish and lead our machine learning initiatives. This is a critical, foundational role where you will have the unique opportunity to shape the future of data science and ML at Niche. You will be responsible for identifying high-impact opportunities, designing, building, and deploying machine learning models that directly drive business growth and enhance user experience across our platform. We are looking for a highly skilled, hands-on practitioner who is passionate about translating business challenges into data-driven solutions. You aren't just theoretical; you build, you code, you ship, and you measure. You have a proven history of deploying ML models into production environments that have delivered tangible results. You possess the experience and desire to mentor future ML hires and establish best practices as our capabilities grow. What You Will Do Identify & Prioritize: Collaborate closely with product, engineering, data analytics, and business stakeholders to identify and prioritize the most impactful ML opportunities that align with Niche's strategic goals. Our first area of focus is our Recommendations, which includes matching students with the right schools Design & Build: Lead the end-to-end development of machine learning models - from data collection and feature engineering to algorithm selection, training, tuning, and validation. This is a hands-on coding role Deploy & Integrate: Develop production-grade code and systems to deploy, serve, and monitor ML models at scale, ensuring reliability and performance. Integrate models effectively into Niche's products and internal systems Measure & Iterate: Define key performance metrics, establish robust monitoring frameworks, analyze model performance in production, and drive continuous improvement through iteration and experimentation Champion & Evangelize: Clearly communicate complex ML concepts, model behaviors, and results to both technical and non-technical audiences. Champion the use of machine learning & data science across the organization Lead & Mentor: Establish ML development best practices, coding standards, and documentation. As the function grows you will guide and mentor other ML engineers Innovate: Stay abreast of the latest advancements in machine learning, data science, and MLOps, evaluating and potentially adopting new technologies and techniques relevant to Niche During the First Month: Learn about Niche by meeting with various team members to learn more about our company through our Onboarding meetings Deep-dive into Niche's platform, data architecture, and recommendation systems Align with product and engineering teams on business goals and ML impact areas Begin shaping a roadmap for high-impact ML opportunities Within 3 Months: Deploy your first machine learning model into production with robust monitoring and feedback loops Collaborate with product and engineering to define success metrics and integration strategies Establish early ML development workflows, documentation, and performance monitoring Contribute production-ready code for feature engineering and model experimentation Within 6 Months: Drive measurable improvements through experimentation and model iteration Introduce scalable MLOps practices to support deployment, retraining, and governance Serve as a mentor and set engineering best practices for a growing ML function Within 12 Months: Lead ML efforts across multiple product areas, driving business impact at scale Influence company-wide strategy through technical leadership and ML evangelism Develop internal tooling, reusable frameworks, and scalable ML systems Help grow the team through hiring, mentorship, and a culture of innovation What We Are Looking For Experience: 8+ years of professional experience in software development or data science, with at least 5+ years specifically focused on building and deploying machine learning models in a production environment Proven Impact: Demonstrable track record of successfully shipping multiple machine learning models that resulted in measurable business growth (e.g., increased user engagement, conversion rates, operational efficiency, revenue). You can clearly articulate the business problem, the ML solution, and the quantitative impact achieved Technical Depth (Hands-On): Expertise in Python and common ML libraries/frameworks (e.g., scikit-learn, TensorFlow, PyTorch, Keras, XGBoost) Deep understanding of core ML concepts (e.g., classification, regression, clustering, recommendation systems, NLP, time series analysis, experimentation, model evaluation) Strong SQL skills and experience working with large datasets and data processing tools (e.g., Pandas, Spark) Experience with ML deployment patterns and MLOps principles (e.g., model serving, monitoring, CI/CD for ML, feature stores) Familiarity with cloud platforms (AWS, GCP, Azure) is essential Business Acumen: Strong ability to understand business needs, translate them into well-defined ML problems, and connect technical work back to strategic objectives. You prioritize work based on potential business impact Leadership Experience: Experience or a strong aptitude for leading technical projects, defining technical direction, and mentoring others. Excellent communication and collaboration skills Education: MS or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field, OR equivalent practical experience demonstrating deep expertise in machine learning Bonus Points Experience building ML capabilities from the ground up Experience with recommendation systems, search ranking algorithms, or NLP applied to user-generated content Experience in the EdTech or consumer-facing platform space Familiarity with golang, express, Postgres, Snowflake, DBT, and Tableau Contributions to open-source ML projects or publications in relevant conferences/journals Compensation Our national target base salary range is $177,800-$222,000, plus participation in our Annual Bonus and Stock Option Program. Base compensation will be commensurate with experience and skills. At Niche, our Total Rewards Philosophy is centered around creating a workplace environment that attracts, motivates, and retains top talent by providing a comprehensive and competitive rewards package. This philosophy is built on the principles of performance-based compensation, best-in-class benefits and work-life balance, and employee well-being. Interview Process Candidate experience is a top priority for our talent and hiring teams. We believe in providing a transparent, authentic and comprehensive interview process where you have the opportunity to learn about us while we get to know you and your experience. The interview process is outlined here: Phone Screen with Talent Acquisition Partner - 30 Minutes Video Interview with Hiring Manager - 45 Minutes Case Study + Presentation and System Design Team Interview - 45 Minutes Leadership Interview - 30 Minutes Why Niche? We are a fully flexible workforce empowering our employees to choose to work remotely, in our Pittsburgh office or whatever combination suits you Full time, salaried position with competitive compensation in a fast-growing company Best-in-class 100% paid employee health plan, including vision and dental and supplemental coverage Flexible Paid Time Off Policy Stipend that allows you to build your work from home office in a style and function that suits your personal preferences Parental leave for all employees (12 weeks fully paid) in addition to short term disability for birthing parents Meaningful 401(k) with employer match Your ideas and work will make an immediate impact on our company and millions of users You will join a team that cares about you, our mission, our work - and celebrates our wins together! Niche will only employ those who are legally authorized to work in the United States without sponsorship now or in the future for this opening. We are currently hiring in states where we currently have employees: AZ, CO, CT, DE, FL, GA, IL, IN, KY, LA, ME, MD, MA, MI, MO, NE, NV, NH, NJ, NY, NC, OH, OK, OR, PA, SC, TN, TX, VA, WA, DC, WV. Candidates only. No recruiters or agencies, please. Sorry, we do not offer relocation assistance. Niche is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. Therefore, we provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. All interviews are being held remotely. If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We are seeking a ML Engineering TL to join the Behavior Planning Team. This is a high-impact role where you will sit at the frontier of autonomous vehicle technology. You won't just be applying AI and ML methods; you will be advancing the state-of-the-art for how a self-driving system reasons about the world, interacts with humans on the road, and masters complex, high-dimensional decision-making. In this role, you will Define the architecture of our onboard planning models: Develop and deploy large-scale models trained with Imitation Learning and Reinforcement Learning that enable the Aurora Driver to navigate complex environments with human-like fluidity and superhuman safety. Build our next-generation simulation engine: Architect cutting-edge offboard foundation models that power our simulation engine, creating realistic "world models" to test the Aurora Driver against an infinite variety of edge cases. Revolutionize evaluation: Develop powerful offboard critic models that can evaluate driving behavior at scale, identifying subtle nuances in comfort, progress, and safety that traditional heuristics miss. Bridge research and production: Reach new frontiers of autonomous driving technology by pushing forward the state-of-the-art, but also deploy your models on real production vehicles that drive on public roads and must meet the highest standards of safety. Mentor and lead: Serve as a technical lead, guiding junior engineers and shaping the long-term roadmap for ML-based planning at Aurora, including the onboard and off-board ecosystem that is needed to support it. Required Qualifications MS or PhD in Robotics, Machine Learning, Computer Science, or a related quantitative field, or equivalent practical experience. 8 + years of experience developing state-of-the-art ML models, either in a research or production setting. Hands-on experience working on Imitation Learning or Reinforcement Learning applied to physical or simulated agents. Experience training large models on massive datasets using distributed computing. Fluency in Python, with a focus on writing high-performance, maintainable code. Deep experience with PyTorch (preferred) or another modern ML framework, and a mastery of modern ML architectures including Transformers and Diffusion Models. Desirable Qualifications A track record of publications in top-tier ML conferences (NeurIPS, ICML, CoRL, CVPR, AAAI). Experience deploying complex ML systems in production environments. Experience in developing generative models or neural simulators for synthetic data generation. Experience leading small or large teams to execute highly technical projects. The base salary range for this position is $126K - $181.5K per year. Aurora's pay ranges are determined by role, level, and location. Within the range, the successful candidate's starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits. #LI-JL261 #Mid-Senior

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 looking for a Machine Learning Engineer to be responsible for designing and implementing cutting-edge reinforcement learning algorithms, conducting experiments, and optimizing these models to perform efficiently in real-world robotic environments. This will require close collaboration with our robotics, research, and engineering team. Your work will directly impact the development of intelligent, adaptable robots capable of learning and performing complex tasks autonomously. Responsibilities Develop and implement state-of-the-art reinforcement learning algorithms for robotic applications. Design and conduct experiments to train RL models and conduct real-world tests. Collaborate closely with researchers to explore novel methods of scaling up reinforcement learning model training. Communicate effectively with inference, application, and deployment engineers to integrate RL models into robotic systems and iterate on methods to enable robust deployment. Analyze and interpret experimental results, iterating on model design to achieve desired performance. Stay up-to-date with the latest research and advancements in reinforcement learning. Preferred Qualifications BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience. Proficiency in Python, C++, or similar and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc. Deep understanding and practical experience with various reinforcement learning algorithms and techniques (model-free, model-based, multi-task, hierarchical, multi-agent, etc.). Strong background in algorithms, data structures, and software engineering principles. Experience with physics simulation engines and tools for training RL. Deep understanding of state-of-the-art machine learning techniques and models. Extensive industry experience with reinforcement learning and robotic systems. Base Salary Range $100,000 - $300,000 USD

About Us: Lovelace AI was born from the desire to apply state of the art AI and systems engineering to the question of human safety, especially in dangerous conditions such as conflict, disaster response, anti-terrorism and deterrence against AIs designed by adversaries to harm civilians. How many lives can be saved by taming the information overload, confusion and conflicting priorities experienced by the people responsible for dealing with dangerous situations around the world? We believe the answer is potentially dramatic, and we are determined to create a team with the wisdom, skills, brainpower, thoughtfulness and experience to make this vision real. Job Summary: As a Machine Learning Engineer, you will play a pivotal role in developing and deploying machine learning models and algorithms to address complex challenges in national security and emergency management. You will both learn a lot and teach a lot as we deal with some of the trickiest problems in the active area between large deep models and fine grained statistical inference. Key Responsibilities: Algorithm Development: Design, develop, and optimize machine learning algorithms and models for various applications, such as threat detection, image recognition, natural language processing, and predictive analytics. Efficiency and real-time operations: Work with colleagues to use every tool in the toolboxes of: (1) algorithm design (2) GPU-based optimization and (3) highly performance methodologies such as JAX, XLA, PyTorch. Model Training and Evaluation: Train, fine-tune, and evaluate machine learning models using appropriate frameworks and tools. Make sure that adaptive systems have hygienic and effective ML Ops. Deployment and Integration: Implement ML models into operational systems, ensuring seamless integration with existing infrastructure and applications. Collaboration: Work closely with cross-functional teams, including data scientists, software engineers, domain experts, and government agencies, to develop and implement comprehensive ML solutions. Security and Compliance: Ensure that all ML solutions meet the highest security and compliance standards, especially when dealing with sensitive data and national security concerns. Documentation: Create and maintain detailed documentation of machine learning models, code, and processes to facilitate knowledge sharing and future enhancements. Testing and Validation: Conduct rigorous testing and validation of ML systems to ensure robustness, reliability, and accuracy under various conditions. Qualifications: Bachelor's degree in Computer Science, Machine Learning, Data Science, or a related field (Master's or Ph.D. preferred). Proven experience in machine learning model development, training, and deployment. Proficiency in software development in familiar ML environments and a willingness to contribute to some new next-gen platforms. Enthusiasm for analytic methods from fields such as probability theory, statistics, linear algebra and knowledge graphs.. Familiarity with cloud computing platforms (e.g., AWS, Azure) and distributed computing frameworks. Excellent problem-solving and analytical skills. Effective communication skills and the ability to work collaboratively in a team environment. Must be a US Citizen. Preferred Skills: Experience with deep learning and neural networks. Knowledge of geospatial data analysis and GIS tools. Understanding of ethical and legal considerations in AI and ML. Benefits: LovelaceAI offers competitive compensation packages, comprehensive benefits. We provide a supportive and inclusive work environment where your skills and expertise can make a significant impact on the safety and security of our communities. Lovelace's founding team includes: Andrew Moore, who has a track record of building impactful AI systems, designing them with human rights impact assessments as a top priority, leading the AI division of one of the world's foremost cloud companies, and actively participating in machine learning and AI research over the past two decades. Brendan Dunne, a career Special Operations veteran and retired Army officer who has led high performing cross functional teams the past 20 years in the country's premier national mission force. He was most recently in charge of US Special Operations Command's Global Analytics Platform (aka the GAP), one of DoD's leading technology platforms. Toby Smith, well known in the Pittsburgh Tech community for his engineering leadership and design skills, and who has led many of the most ambitious and complex system infrastructure projects in Google Pittsburgh and NetApp. Here is a note from Andrew Moore to people who are reading these Job Postings: “Hi folks, I'm so glad you are potentially interested in Lovelace AI. This area means a lot to me because while I am an AI optimist, I also think that we technologists owe it to a rightly skeptical world to show that modern intelligent systems can actually be useful. Usefulness comes in many guises: from life sciences to education and from transportation to entertainment and many others. For many of us, security and public safety is also very high on that list. That reasoning leads to this conclusion: I'm determined to make sure that the people building Lovelace AI gain a lot from the experience, including the chance to solve fascinating problems in computer science, AI, business development, customer success and product management. I also hope that we all learn from each other in a highly enriching work environment. But my main hope is that we have a shared sense of accomplishment as we see an increasing number of national security and public safety domains made safer through sensible and robust use of advanced computer science."

Job Description On our Perception team, you have the opportunity to work with world-class ML engineers and research scientists, whose mission is to make self-driving vehicles a reality and to create a positive social impact. Our team works on the tech stack responsible for perceiving the dynamic scenarios, and further tracking and classifying objects around our robo-taxi. We are looking for engineers who are passionate about Level 4 autonomous driving technology, excited by intellectual challenges, and interested in pursuing career growth with a fast-growing company. What You'll Be Doing: Lead the development and implementation of advanced perception algorithms for object detection, tracking, classification, and segmentation using camera, lidar, and radar data Connect and drive business impact through technology solutions Design and implement sensor fusion algorithms to combine data from multiple sensors to create a robust and accurate perception system Optimize perception algorithms for real-time performance on embedded hardware Collaborate with other engineers and teams to integrate perception systems into larger autonomous systems Stay abreast of the latest research and advancements in machine learning and computer vision and apply them to real-world problems Productionize and deploy solutions onto autonomous vehicle fleets Derive good insight from large data sets from a variety of sources Mentor and guide junior engineers on the team What We're Looking for: Masters or Ph.D. in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience Strong leadership skills at executing large, complex technical initiatives In-depth understanding of common Machine Learning and Deep Learning algorithms Experience with designing, training, and analyzing neural networks for at least one of the following applications: object detection, semantic/instance segmentation, visual classification, motion/gesture recognition, sensor fusion, multitask learning, multi-object tracking, and/or end-to-end perception Experience with deep learning frameworks such as TensorFlow or PyTorch Fluency in Python, including standard scientific computing libraries and Python bindings development experience Proven track record of developing and deploying perception systems for autonomous vehicles or robotics Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods Excellent communication and interpersonal skills Experience mentoring and leading others Bonus Points: Experience with embedded systems and real-time optimization, especially in the autonomous driving industry Experience with launching ML products from ideation Proven track record of publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.) Experience in deploying models into real-world environments Strong programming skills in C++ and/or CUDA programming 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$199,000-$266,500 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.

Company Description Govini transforms Defense Acquisition from an outdated manual process to a software-driven strategic advantage for the United States. Our flagship product, Ark, supports Supply Chain, Science and Technology, Production, Sustainment, Logistics, and Modernization teams with AI-enabled Applications and best-in-class data to more rapidly imagine, develop, and field the capabilities we need. Today, the national security community and every branch of the military rely on Govini to enable faster and more informed Acquisition decisions. Job Description We are seeking a Machine Learning Engineer to join our team to build cutting-edge machine learning technologies that will replace complex, time-consuming, manual processes with automation and intelligence that will help Govini end-users make scientific and analytical decisions. We're looking for world-class talent to join our team where you will have the opportunity to help develop solutions from data collection to large-scale data manipulation to long-term data storage and low-latency retrieval, reporting, and analytical systems to solve big data problems that drive business performance. In order to do this job well, you must be a curious and eager problem solver with a hunger for building well-designed, high-quality solutions. You have a passion for great work and nothing less than your best will do. You share our intolerance of mediocrity. You're uber-smart, challenged by figuring things out and producing simple solutions to complex problems. Knowing there are always multiple answers to a problem, you know how to engage in a constructive dialogue to find the best path forward. You're scrappy. We like scrappy. This role is a full-time position located out of our office in Pittsburgh, PA. This role may require up to 10% travel Scope of Responsibilities Actively create, architect, and deliver state-of-the-art machine learning solutions designed to add intelligence to our data analysis and software-as-a-service platform Establish meaningful criteria for evaluating algorithm performance and suitability Develop clear software specifications for implementing trained models Implement working, scalable, production-ready Machine Learning and AI Process Automation models and code Optimize processes for maximum speed, performance, and accuracy Participate in the end-to-end software development of new feature functionality and design capabilities Craft clean, testable, and maintainable code Keep up to date with Machine Learning best practices and evolving open-source frameworks Regularly seek out innovation and continuous improvement, finding efficiency in all assigned tasks Collaborate closely with fellow software engineers, data scientists, data engineers, and QA engineers Qualifications U.S. Citizenship is required Bachelor's, Master's, or Doctorate in Computer Science, Computer Engineering, Data Science, or a related field Required Skills: Minimum 3 years experience in hands-on development of machine learning models Practical experience in building, developing, and productionizing machine learning systems Advanced software skills in Python Experience with common NLP algorithms and implementations Hands-on experience with AWS and cloud infrastructure A strong desire to learn and investigate new technologies Familiarity with Git source control management Prior hands-on experience working with data-driven analytics Ability to work collaboratively with little supervision A burning desire to work in a challenging fast-paced tech environment Desired Skills: Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship Experience in or exposure to the nuances of a startup or other entrepreneurial environment Track record of implementing data-driven products Experience in or exposure to the nuances of a startup or other entrepreneurial environment Experience in deploying ML models in Kubernetes environments 2 years of experience developing and deploying modern NLP models We firmly believe that past performance is the best indicator of future performance. If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we're eager to hear from you. Govini is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.

Role: Machine Learning Engineer (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,(*************************** is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company - we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence: Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: · Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. · Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. · Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. · Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. · Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. · Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. · Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. · Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. · Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. Requirements: · Degree in Computer Science, Engineering, Statistics, or a related technical field. · Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains. · Demonstrable experience with Generative AI models and frameworks, such as GANs or Transformers, applied in industry settings. · Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems. · Strong foundational understanding of algorithmic complexity and data structure optimization. · Excellent problem-solving, collaboration, and communication abilities. · Develop and implement cutting-edge machine learning models, with a particular focus on Generative AI applications such as text generation, image synthesis, and creative AI. · Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. · Stay ahead of AI research, especially in Generative AI, applying the latest findings and techniques to drive innovation within our projects. · Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn). · Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures. · Familiarity with DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices. · Facilitate knowledge sharing and best practices in AI/ML, particularly focusing on Generative AI, within the team. · Ensure all AI implementations are compliant with ethical guidelines and data privacy standards. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

Aquabyte is seeking a Machine Learning Engineer to help develop and deploy new algorithms to fish farms across the world. You'll be responsible for software and machine learning model development of our on-camera and cloud software. Our mission Aquabyte is on a mission to revolutionize the sustainability and efficiency of aquaculture. It is an audacious, and incredibly rewarding mission. By making fish farming more efficient and viable, we aim to promote healthy (for the fish and environment) production of low carbon protein and mitigate one of the biggest causes of climate change. Aquaculture is the single fastest growing food-production sector in the world, and now is the time to define how technology is used to harvest the sea and preserve it for generations to come. We are a diverse, mission-driven team that is eager to work alongside kindred spirits. If this vision inspires you please get in touch. Our product We are currently focused on helping salmon farmers better understand their fish population and make environmentally sound decisions. Through custom underwater cameras, computer vision, and machine learning we are able to quantify fish weights, detect the health status, and generate optimal feeding plans in real time. Our product operates at three levels: on-site hardware for image capture, cloud pipelines for data processing, and a user-facing web application. As a result, there are hundreds of moving pieces and no shortage of fascinating challenges across all levels of the stack. Above all, Aquabyte is a customer-driven company. Our product development is dictated by the needs of fish farmers and we prioritize customer delight in everything we do. We are committed to building a global, collaborative team. The role As a Machine Learning Engineer you will be responsible for developing Machine Learning models and pipelines as well as interacting with databases and data infrastructure. Conducting in-depth data analytics and building statistical data inference models of biological processes. This role is on the AI team where we develop image and video inference pipelines to estimate the weight, health and behavior of individual fish and fish populations. You will work closely alongside engineers with years of industry and academic experience.Required Qualifications BS/MS in relevant technical degree 3+ years of experience with data-science Strong coding ability; strong grasp of Python, SQL Strong data analytics & modeling & ML skills Strong data pipeline and data management skills Strong software engineering skills; knowledge of best practices, testing, and deployment Bonus Qualifications Familiarity with; snowflake, dbt, airflow, pandas Experience with Docker and cloud SW development (i.e. AWS) Benefits Competitive salaries and generous equity Unlimited vacation policy Flexible working hours Medical, vision, & dental insurance Retirement matching plan Potential travel to Norway Evolve in a fast-paced environment Be able to shape a business in its early days Get ideas, feedback, and suggestions from other best-in-their-field colleagues Mentorship opportunities, we'll be dedicated to investing in you and supporting you as you grow Aquabyte is a private company headquartered in San Francisco, and is supported by NEA, Costanoa Ventures, and many other respected investors. At Aquabyte, we admire interesting people with a unique background. We strongly encourage you to apply even if you don't satisfy all the requirements, and we will get back to you as soon as possible!

Primary Duties & Responsibilities Lead opto-mechanical design and system level optimization of precision optical assemblies such as refractive and reflective laser beam scanners, and high-power photonic hardware Develop and execute advanced FEA and CFD simulations for structural, thermal, and fluid flow performance using tools such as ANSYS, COMSOL, and related solvers. Architect thermal management solutions for high power optics and processors including heat spreaders, microchannel coolers, cold plates, liquid cooling loops, and advanced TIM interfaces Perform coupled multiphysics simulations including thermal mechanical distortion, thermal lensing, vibration sensitivity, and stress induced optical aberrations Design and optimize micro scale and macro scale cooling solutions including forced convection, two phase cooling concepts, and hybrid air liquid systems Translate optical performance requirements into robust mechanical and thermal designs that preserve wavefront quality, alignment stability, and long term reliability Lead tolerance analysis, sensitivity studies, and worst case design assessments for optomechanical assemblies Drive material selection for optical and thermal components including metals, ceramics, composites, diamond, silicon, and advanced thermal interface materials Develop predictive thermal and fluid dynamic models for GPUs, CPUs, and high heat flux electronic packages Support prototype build, validation testing, and thermal mechanical characterization including correlation of experimental data with simulation results Own design for reliability including fatigue, creep, thermal cycling, shock, and vibration qualification Collaborate closely with optical engineers, electrical engineers, packaging engineers, and manufacturing teams to deliver fully integrated system solutions Lead technical trade studies balancing performance, cost, manufacturability, and risk for complex opto-mechanical platforms Generate detailed technical documentation including design reports, simulation methodologies, verification plans, and qualification summaries Mentor junior engineers in advanced simulation techniques, optomechanical best practices, and system level design thinking Contribute to intellectual property development, publications, and advanced R & D initiatives in opto-mechanics and thermal engineering Knowledge of optical testing and interferometry Education & Experience Master's/PHD degree in Optics, Optoelectronics, Photonics, Mechanical Engineering or a related field A minimum of 10 years of experience in a manufacturing or engineering environment Skills Advanced FEA for structural, thermal, and multiphysics analysis Engineering scripting and automation using Python for simulation workflows, parametric studies, optimization and data analysis. Advanced use of Solidworks or Creo for precision optomechanical design and GD&T. Expert level Zemax for optical system modeling, tolerancing and stray ray analysis. Advanced COMSOL for coupled thermal fluid structure simulations. CFD for internal and external flow, microchannel cooling, and thermal optimization Optomechanical system design for precision alignment and stability Thermal management of high power lasers, optical amplifiers, and processor based systems Heat transfer including conduction, convection, radiation, and phase change Fluid mechanics for forced convection, manifold design, and pressure drop optimization Thermodynamic modeling of complex cooling architectures Optical performance preservation under thermal and mechanical loading High reliability design for aerospace, defense, and industrial photonics platforms Working Conditions The position is based in an office environment at the Saxonburg site, with expectations for regular on-site engagement Safety Requirements All employees are required to follow the site EHS procedures and Coherent Corp. Corporate EHS standards. Quality and Environmental Responsibilities Depending on location, this position may be responsible for the execution and maintenance of the ISO 9000, 9001, 14001 and/or other applicable standards that may apply to the relevant roles and responsibilities within the Quality Management System and Environmental Management System. Culture Commitment Ensure adherence to company's values (ICARE) in all aspects of your position at Coherent Corp.: Integrity - Create an Environment of Trust Collaboration - Innovate Through the Sharing of Ideas Accountability - Own the Process and the Outcome Respect - Recognize the Value in Everyone Enthusiasm - Find a Sense of Purpose in Work Coherent Corp. is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. If you need assistance or an accommodation due to a disability, you may contact us at ****************************** .

At the National Robotics Engineering Center (NREC), it is our engineers and technicians who drive the breakthroughs that define our success. Our technical staff collaborates closely with leadership and multidisciplinary teams to design, build, and deploy sophisticated robotic solutions that address complex challenges in industrial, commercial and government sectors. Each project benefits from their expertise, creativity, and hands-on problem-solving, fueling progress and innovation across the organization. As part of our dedicated team, you will work alongside world-class robotics professionals committed to pushing the boundaries of technology and redefining ideas into solutions for real-world applications. We foster a culture of professionalism, respect, and collaboration, offering a flexible and encouraging environment where you can sharpen your skills, lead impactful projects, and take control of your career development. We are seeking a motivated roboticist to help develop and deploy the next generation of mobile manipulation systems for real-world applications. You'll bridge research and industry by transforming advanced robotic concepts into robust, production-ready technologies. The work emphasizes hands-on development, integration, and deployment of systems that combine perception, planning, and control to address impactful challenges in areas including logistics, manufacturing, and automated science. If you're passionate about building real robots that make a measurable difference in the world, we'd love to hear from you. Your primary responsibilities are: Developing algorithms for perception-aided control of manipulators on mobile robots for real world applications Prototyping in scripting languages Transitioning applications to deployment with production quality code Designing, developing, documenting, testing, troubleshooting, and maintaining software applications and integrated systems Interacting with sponsors for planning, application support, and reporting purposes Surveying literature and implementing innovative techniques to take on exciting problems Following protocols for team software development (peer reviews of designs and code, unit and system testing, version control, bug tracking, integrated documentation) Developing, documenting, and applying software system testing, troubleshooting, and verification procedures Collaboration with engineers with varied skills, including communication, co-design, and joint decision making Required Qualifications: B.S. in Computer Science, Engineering, Mathematics or equivalent experience (M.S. or PhD is a bonus). 1-3 years combined graduate academic and professional software development experience Experience with 3D perception (LiDAR, stereo vision, RGB-D, point cloud processing) Knowledge of kinematics, dynamics, and control of manipulators Strong background in at least one of Motion planning (MoveIt, OMPL, RRT*, etc.) Grasp/manipulation planning or whole-body control Strong C++ skills Experience with scripting languages for quick prototyping of computer vision applications (Python or Matlab preferred) Linux development experience Knowledge of basic software engineering principles Technical communication skill Demonstrated success collaborating alongside a multi-functional team We especially want to hear from you if you have experience or qualifications in any of the following areas: Sensor and robot calibration (stereo, hand-eye, multi-modal) Visual sensing Robot navigation, field robotics Reinforcement learning, imitation learning, or foundation models for robotics Visual/inertial odometry, mapping, or SLAM Familiarity with Gazebo, Isaac Sim, or Mujoco for simulation Knowledge of real-time control Real-world deployment, systems engineering Embedded systems or real time application development C++ Libraries such as OpenCV, PCL, ROS, Boost, Eigen CUDA programming Other Requirements: Successful pre-employment background check This position will require work on a variety of projects, including projects that involve military/defense applications and/or are funded by military/defense sponsors. Are you interested in joining our versatile team at NREC where you will have a direct impact on operations and meaningful projects? Join a collaborative environment where your hands-on skills, leadership, and mentorship will directly influence operations and inspire the next generation of innovators. Why NREC? At NREC, you will shape the robotics revolution by tackling real-world challenges in agriculture, manufacturing, defense, energy, and much more. You will work alongside top robotics experts, develop ground breaking technologies, and see your solutions deployed in the field. NREC at a Glance: Located in Pittsburgh or “Roboburgh”, a hub for over 120+ robotics companies 30+ years of pioneering robotics research 150+ professionals driving innovation and real-world impact Part of Carnegie Mellon University's Robotics Institute, a global leader in robotics NREC also leads in educational outreach through its Robotics Academy, which develops curricula and software for K-12 and college-level students. You will also have opportunities to engage with these student groups through outreach activities. As part of our team, you will have the flexibility to grow your career - whether becoming a technical expert, leading projects, mentoring others, or exploring new pathways and making an impact in developing technologies that drive progress, improve safety and transform industries. Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran. 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 Engineering, Research and Project Scientists Position Type Staff - Regular Full Time/Part time Full time Pay Basis Salary 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

Job DescriptionDescriptionFS-Elliott is expanding our Field Service team! We're seeking a skilled Service Controls Engineer to support equipment installations, start-ups, commissioning, and troubleshooting of PLC and digital control systems. In this customer-facing role, you'll work closely with Channel Partners and Customers to resolve field equipment issues and ensure optimal performance. This is a hands-on role where technical expertise, a problem-solving mindset, and a strong commitment to safety and customer satisfaction are essential. Responsibilities Visit customer sites and installations to perform start-up assistance and troubleshooting of control systems, obtaining first-hand information to diagnose and resolve issues. (Travel requirement: up to 75% of the time) Investigate, develop, present, and implement corrective actions to resolve system and/or process-related problems. Provide technical support to Channel Partners and Customers for the resolution of issues related to control systems. Complete work order forms and other required documentation accurately and promptly on a daily basis. Generate detailed reports on equipment performance and issues, providing feedback to internal departments for continuous improvement. Conduct training programs for Customers and Channel Partners on equipment operation, maintenance, and controls. Propose ideas for improving the reliability, cost-effectiveness, serviceability, and marketability of FS-Elliott equipment. Skills Knowledge and ExperienceEducation: Bachelor's Degree (BS/BA) in an Engineering discipline or related field, or an equivalent combination of education and relevant experience. Required Skills and Competencies: Strong problem-solving and process analysis skills. Good judgment with the ability to make timely and sound decisions. Self-motivated, resourceful, and adaptable; able to work independently while contributing effectively within a team environment. Strong customer-centric attitude with a focus on delivering high-quality service. Broad understanding of safety, health, and environmental rules, regulations, policies, and procedures. Willingness to travel extensively (up to 75%) and work outside of standard business hours when necessary (with appropriate notice). Ability to obtain and maintain Unescorted Site Access, including passing a drug screening process. Working knowledge of Microsoft Office 365 applications. Experience with ERP systems (preferred). Familiarity with relevant hardware and software systems related to industrial control systems. Strong verbal and written communication skills, including the ability to actively listen and convey technical information clearly and effectively.

Job Type: Full Time / Permanent Work Authorization: No C2C or Sponsorship The A.C.Coy company has an immediate opening for a Senior Robotics Engineer. Candidates will design and implement autonomy solutions across diverse robotic platforms, driving innovation in multi-robot coordination, motion planning, and adaptive control. Ideal candidates will have a strong background developing complex software systems in robotics. AI/ML, or automation. Responsibilities Develop scalable autonomy solutions for heterogeneous robotic systems operating in dynamic environments Design and implement algorithms for: Multi-robot task allocation Motion planning and high-dimensional path optimization Adaptive process control and decision-making Write clean, efficient, and maintainable C++ code with full test coverage Conduct rigorous testing across simulation environments and field deployments Collaborate with cross-functional teams to integrate autonomy modules into large-scale software systems Qualifications Education Required Bachelor's degree in Computer Science, Robotics, Electrical Engineering, or a related field Experience Required 5+ years of experience developing complex software systems in robotics, AI/ML, or automation Strong proficiency in C++ with a deep understanding of object-oriented design and performance optimization Hands-on experience with robotics planning frameworks or advanced control algorithms Proven track record of working in large codebases and delivering production-level software Familiarity with simulation tools (e.g., Gazebo, ROS, Webots) and field testing methodologies is a plus Some travel to client sites required - Up to 30%

Join us in shaping the future of autonomous driving. As part of the Behaviors team, you will work alongside world-class ML engineers and research scientists to help make self-driving vehicles a safe, reliable, and transformative reality. Our team builds the intelligence responsible for understanding complex driving environments and generating safe and comfortable trajectories for our robotaxi fleet using cutting-edge deep learning and planning systems. We welcome fresh graduates who are passionate about robotics, machine learning, and autonomous systems - and eager to grow in a fast-moving, high-impact team. This opportunity can support remote work within the United States, with occasional travel. What You'll Be Doing: You will be directly responsible for training, evaluation, and deployment of our ML-based scene understanding, behavior prediction, and planning models. Day-to-day responsibilities include: Designing and training large models for predicting surrounding agents, AV behaviors, and end-to-end planning systems by executing high-value experiments based on collaborative input from other machine learning engineers Prototyping and implementing continuously improving metrics to evaluate the performance of our behavioral models across many desired scenarios and robotaxi capabilities Timely release of major model updates, including analysis of both off-line and on-road evaluation data Staying up to date with the latest trends in our fast-moving industry, and proposing new architectures and network designs Maintaining a high-quality training and evaluation code-base, including portions of our training stack dedicated to dataset generation and evaluation What We're Looking For: Masters or PhD in Machine Learning, Generative AI, Computer Science, Applied Mathematics, Statistics. In-depth understanding of common Machine Learning and Deep Learning algorithms, especially transformer-based architectures, autoregressive decoder architectures etc. Experience designing, training, and analyzing neural networks/transformer-based models for at least one of the following applications: motion planning, object detection, sensor fusion, motion prediction, and/or multi-object tracking, multi-agent predictions. Knowledge of software engineering principles, including software design, source control management, build processes, code reviews, and testing methods Knowledge or course experience of generative models such as VLM, VLA etc. Experience with PyTorch or other Python-based deep learning frameworks Experience working with large data sets, data curation, and augmentation. Bonus Points Publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ECCV, ICRA, IROS etc.) Project or internship experience on VLM, VLA and other foundation models for robotics and self-driving. PhD in machine learning, generative AI, computer vision, or robotics vision Project experience working on autonomous vehicles or related fields Experience in deploying models into real-world environments Strong programming skills in C++ and/or CUDA programming 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$142,000-$190,000 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.

On our Perception Team, you have the opportunity to work with world-class ML engineers and research scientists, whose mission is to make self-driving vehicles a reality and to create positive social impact. Our team works on the tech stack responsible for perceiving the dynamic scenarios and predicting the future behavior of agents around our robo-taxi. We are looking for engineers who are passionate about Level 5 autonomous driving, excited by intellectual challenges, and interested in pursuing career growth with a fast growing company. What You'll Be Doing: You drive project level impact to make our autonomous vehicles operate at superhuman capabilities for comfortable, safe driving. On a daily basis, you will: Helps define and influence the direction of the team based on technology and business needs Connect and drive project level impact through technology solutions Formulate problems, architect solutions, and design processes Prototype, evaluate, implement, and iterate on solutions Familiar with state of the art solutions and systems for autonomous vehicles Productionize and deploy solutions onto autonomous vehicle fleets Collaborate with other team members and grow junior engineers What We're Looking For: Masters or PhD in Machine Learning, Computer Science, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience In-depth understanding of common Machine Learning and Deep Learning algorithms Experience designing, training, and analyzing neural networks for at least one of the following applications: object detection, semantic/instance segmentation, visual classification, motion/gesture recognition, sensor fusion, multitask learning, motion prediction, and/or multi-object tracking Strong track record of tackling less well-defined problems, and executing efficiently to deliver the successful outcome Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods Fluency in Python, including standard scientific computing libraries and Python bindings development experience Experience with PyTorch or other deep learning frameworks Experience working with large data sets and deriving insights from data Experience mentoring and collaborating with others Bonus Points Proven track record of publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.) PhD in machine learning, computer vision, or robotics vision Experience working on autonomous vehicles, or related fields Experience in deploying models into real-world environments Strong programming skills in C++ and/or CUDA programming Working Conditions This opportunity can support remote work within the United States, with occasional travel. While performing the duties of this job, the employee is frequently required to convey and detect communication The employee occasionally required to remain stationary at times for up to 50% of working time, move in designated working areas; & operate and use office equipment The employee may occasionally move up to 50 pounds 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$136,500-$225,000 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.

Govini transforms Defense Acquisition from an outdated manual process to a software-driven strategic advantage for the United States. Our flagship product, Ark, supports Supply Chain, Science and Technology, Production, Sustainment, Logistics, and Modernization teams with AI-enabled Applications and best-in-class data to more rapidly imagine, develop, and field the capabilities we need. Today, the national security community and every branch of the military rely on Govini to enable faster and more informed Acquisition decisions. Job Description We are seeking a Natural Language Processing expert to join our team and help us build cutting-edge machine learning technology that will replace complex, time-consuming, manual processes with automation and intelligence that helps Govini end-users make scientific and analytical decisions. We're looking for world-class talent to join our team where you will have the opportunity to help develop a wide range of solutions that transform natural language data into useful features for classification algorithms, as well as implement the latest technology to improve user search functionality. In order to do this job well, you must be a curious and eager problem solver with a hunger for building well-designed models and solving problems in an ambiguous space. You share our intolerance of mediocrity. You're uber-smart, challenged by figuring things out and producing simple solutions to complex problems. Knowing there are always multiple answers to a problem, you know how to engage in a constructive dialogue to find the best path forward. You're scrappy. We like scrappy. This role is a full-time position located out of our office in Pittsburgh, PA. This role may require up to 10% travel Scope of Responsibilities Inform and implement the design and development of NLP applications to enhance the intelligence and efficiency of our data analytics software-as-a-service platform Review, verify, and aggregate the most appropriate annotated datasets for the best-supervised learning methods Ability to work with taxonomy experts to create and validate dataset annotation Use well-formed and effective text representation to change and adapt natural language documents into user-friendly features implement the latest technology to improve user search functionality as well as integrate state of the art LLM models into our Ark.ai platform to enhance user experience. Develop new algorithms and modeling techniques and conduct sound experiments to verify model results and integrate models into the live production system Establish meaningful criteria for evaluating algorithm performance and suitability Implement working, scalable, production-ready models and code Keep up to date with Machine Learning best practices and evolving open-source frameworks Regularly seek out innovation and continuous improvement, finding efficiency in all assigned tasks Collaborate closely with fellow taxonomists, software engineers, data scientists, data engineers, and QA engineers Qualifications US Citizenship is Required Required Skills: Advanced degree, or bachelor's with at least 3 years of experience, in Data Science, Machine Learning or a related field Minimum 3 years experience with hands-on development of NLP models In-depth understanding of NLP methods for text representation, semantic extraction techniques, data structures, and modeling Practical experience in building, developing, and productionizing both supervised and unsupervised machine learning models Advanced software skills in Python Advanced ability in forming SQL queries A strong desire to learn, investigate, and implement cutting-edge technologies Ability to work collaboratively throughout the design process. Desired Skills: Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship Experience in or exposure to the nuances of a startup or other entrepreneurial environment Experience in deploying ML models in Kubernetes environments Experience developing custom training sets for large language models Experience productionizing transformer-based models We firmly believe that past performance is the best indicator of future performance. If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we're eager to hear from you. Govini is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.

Primary Duties & Responsibilities Lead opto-mechanical design and system level optimization of precision optical assemblies such as refractive and reflective laser beam scanners, and high-power photonic hardware Develop and execute advanced FEA and CFD simulations for structural, thermal, and fluid flow performance using tools such as ANSYS, COMSOL, and related solvers. Architect thermal management solutions for high power optics and processors including heat spreaders, microchannel coolers, cold plates, liquid cooling loops, and advanced TIM interfaces Perform coupled multiphysics simulations including thermal mechanical distortion, thermal lensing, vibration sensitivity, and stress induced optical aberrations Design and optimize micro scale and macro scale cooling solutions including forced convection, two phase cooling concepts, and hybrid air liquid systems Translate optical performance requirements into robust mechanical and thermal designs that preserve wavefront quality, alignment stability, and long term reliability Lead tolerance analysis, sensitivity studies, and worst case design assessments for optomechanical assemblies Drive material selection for optical and thermal components including metals, ceramics, composites, diamond, silicon, and advanced thermal interface materials Develop predictive thermal and fluid dynamic models for GPUs, CPUs, and high heat flux electronic packages Support prototype build, validation testing, and thermal mechanical characterization including correlation of experimental data with simulation results Own design for reliability including fatigue, creep, thermal cycling, shock, and vibration qualification Collaborate closely with optical engineers, electrical engineers, packaging engineers, and manufacturing teams to deliver fully integrated system solutions Lead technical trade studies balancing performance, cost, manufacturability, and risk for complex opto-mechanical platforms Generate detailed technical documentation including design reports, simulation methodologies, verification plans, and qualification summaries Mentor junior engineers in advanced simulation techniques, optomechanical best practices, and system level design thinking Contribute to intellectual property development, publications, and advanced R & D initiatives in opto-mechanics and thermal engineering Knowledge of optical testing and interferometry Education & Experience Master's/PHD degree in Optics, Optoelectronics, Photonics, Mechanical Engineering or a related field A minimum of 10 years of experience in a manufacturing or engineering environment Skills Advanced FEA for structural, thermal, and multiphysics analysis Engineering scripting and automation using Python for simulation workflows, parametric studies, optimization and data analysis. Advanced use of Solidworks or Creo for precision optomechanical design and GD&T. Expert level Zemax for optical system modeling, tolerancing and stray ray analysis. Advanced COMSOL for coupled thermal fluid structure simulations. CFD for internal and external flow, microchannel cooling, and thermal optimization Optomechanical system design for precision alignment and stability Thermal management of high power lasers, optical amplifiers, and processor based systems Heat transfer including conduction, convection, radiation, and phase change Fluid mechanics for forced convection, manifold design, and pressure drop optimization Thermodynamic modeling of complex cooling architectures Optical performance preservation under thermal and mechanical loading High reliability design for aerospace, defense, and industrial photonics platforms Working Conditions The position is based in an office environment at the Saxonburg site, with expectations for regular on-site engagement Safety Requirements All employees are required to follow the site EHS procedures and Coherent Corp. Corporate EHS standards. Quality and Environmental Responsibilities Depending on location, this position may be responsible for the execution and maintenance of the ISO 9000, 9001, 14001 and/or other applicable standards that may apply to the relevant roles and responsibilities within the Quality Management System and Environmental Management System. Culture Commitment Ensure adherence to company's values (ICARE) in all aspects of your position at Coherent Corp.: Integrity - Create an Environment of Trust Collaboration - Innovate Through the Sharing of Ideas Accountability - Own the Process and the Outcome Respect - Recognize the Value in Everyone Enthusiasm - Find a Sense of Purpose in Work Coherent Corp. is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. If you need assistance or an accommodation due to a disability, you may contact us at ****************************** .Coherent is a global leader in lasers, engineered materials and networking components. We are a vertically integrated manufacturing company that develops innovative products for diversified applications in the industrial, optical communications, military, life sciences, semiconductor equipment, and consumer markets. Coherent provides a comprehensive career development platform within an environment that challenges employees to perform at their best, while rewarding excellence and hard-work through a competitive compensation program. It's an exciting opportunity to work for a company that offers stability, longevity and growth. Come Join Us! Note to recruiters and employment agencies: We will not pay for unsolicited resumes from recruiters and employment agencies unless we have a signed agreement and have required assistance, in writing, for a specific opening.Job Summary: An Optical/Finite Element Analysis Engineer applies advanced engineering principles to design, analyze, and optimize optical and mechanical components and systems using numerical simulation tools.

Department Global Services Employment Type Full Time Location Pittsburgh Workplace type Hybrid Reporting To Kevin Tapper Responsibilities Skills Knowledge and Experience About FS-Elliott FS-Elliott is a global leader in the engineering and manufacturing of oil-free, centrifugal compressors with operations in over 90 countries. Building on a 50-year tradition of excellence, we combine an unwavering commitment to quality with the desire for advancing technology to bring value to our customers, allowing them to increase their productivity and lower system operating costs.

Govini transforms Defense Acquisition from an outdated manual process to a software-driven strategic advantage for the United States. Our flagship product, Ark, supports Supply Chain, Science and Technology, Production, Sustainment, Logistics, and Modernization teams with AI-enabled Applications and best-in-class data to more rapidly imagine, develop, and field the capabilities we need. Today, the national security community and every branch of the military rely on Govini to enable faster and more informed Acquisition decisions. Job Description We are seeking a Machine Learning Engineer to join our team to build cutting-edge machine learning technologies that will replace complex, time-consuming, manual processes with automation and intelligence that will help Govini end-users make scientific and analytical decisions. We're looking for world-class talent to join our team where you will have the opportunity to help develop solutions from data collection to large-scale data manipulation to long-term data storage and low-latency retrieval, reporting, and analytical systems to solve big data problems that drive business performance. In order to do this job well, you must be a curious and eager problem solver with a hunger for building well-designed, high-quality solutions. You have a passion for great work and nothing less than your best will do. You share our intolerance of mediocrity. You're uber-smart, challenged by figuring things out and producing simple solutions to complex problems. Knowing there are always multiple answers to a problem, you know how to engage in a constructive dialogue to find the best path forward. You're scrappy. We like scrappy. This role is a full-time position located out of our office in Pittsburgh, PA.This role may require up to 10% travel Scope of Responsibilities Actively create, architect, and deliver state-of-the-art machine learning solutions designed to add intelligence to our data analysis and software-as-a-service platform Establish meaningful criteria for evaluating algorithm performance and suitability Develop clear software specifications for implementing trained models Implement working, scalable, production-ready Machine Learning and AI Process Automation models and code Optimize processes for maximum speed, performance, and accuracy Participate in the end-to-end software development of new feature functionality and design capabilities Craft clean, testable, and maintainable code Keep up to date with Machine Learning best practices and evolving open-source frameworks Regularly seek out innovation and continuous improvement, finding efficiency in all assigned tasks Collaborate closely with fellow software engineers, data scientists, data engineers, and QA engineers Qualifications US Citizenship is required Required Skills: Bachelor's, Master's, or Doctorate in Computer Science, Computer Engineering, Data Science, or a related field Minimum 3 years experience in hands-on development of machine learning models Practical experience in building, developing, and productionizing machine learning systems Advanced software skills in Python Experience with common NLP algorithms and implementations Hands-on experience with AWS and cloud infrastructure A strong desire to learn and investigate new technologies Familiarity with Git source control management Prior hands-on experience working with data-driven analytics Ability to work collaboratively with little supervision A burning desire to work in a challenging fast-paced tech environment Desired Skills: Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship Experience in or exposure to the nuances of a startup or other entrepreneurial environment Track record of implementing data-driven products Experience in or exposure to the nuances of a startup or other entrepreneurial environment Experience in deploying ML models in Kubernetes environments 2 years of experience developing and deploying modern NLP models We firmly believe that past performance is the best indicator of future performance. If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we're eager to hear from you. Govini is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.