Manufacturing engineer jobs in Boston, MA - 2,167 jobs

GPA Global operates as your global packaging solutions provider. We offer our clients a holistic solution - providing every service associated with your packaging project. From concept through to design, development, production, inspection and logistics, our capabilities touch all bases. As a global organization with regional manufacturing and logistics sites in Europe, North America, and Asia, we have created an infrastructure which services our clients with an on-the-ground customer centric relationship, but with the weight of a global operation. Specializing in a myriad of materials and processes, from folding carton to rigid box and multi-material luxury production, GPA Global is the complete packaging partner for today's global brands. SUMMARY The Production Operations Manager is responsible for managing the operations of all departments of the GPA Mansfield site, with all operations union and non-union employees on all shifts and ensuring workflows through departments in a safe, productive, cost effective and quality manner. This position shall lead first-line managers to achieve their goals and also ensure that all teams within a unit are functioning well in a cost-effective manner. ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties may be assigned. Report personnel or product safety concerns to executive management. Develop key performance goals for operations employees of the Mansfield site. Manage the performance of the Mansfield Manufacturing/Operations staff. Create and implement strategies for business growth for manufacturing/operations at the Mansfield site. Hire new manufacturing/operations staff as required at the Mansfield site. Ensure that Mansfield site departments deliver quality work based on customer requirements. Work with other senior staff at the Mansfield site to retain and develop new clients. Create internal processes to improve productivity and quality. Lead all union matters with the collaboration of the General Manager and HR Staff. Manage the site's manufacturing P&L against Standard Manufacturing Cost; budget and monitor the financial health of the business units. Manage the Mansfield site's manufacturing and operations policies concerning Plant & Safety rules, maintenance, breaks, house-cleaning, and fire prevention. Participate in food safety related programs and monitor compliance. Document all KPI's (Key Production Indicators) with charts and graphs for interpretation by all manufacturing/operations supervisors. SUPERVISORY RESPONSIBILITES Supervises all manufacturing/operations department manager and supervisors at the Mansfield site. Is responsible for the overall supervision, coordination, and evaluation of production. Carries out supervisory responsibilities in accordance with the organization's policies and applicable laws. Responsibilities include: Ensure proper utilization of all equipment and crewing to result in cost compliance and statistical process control. Assigning work, checking work, discipline, maintaining quality and quantity standards, organizing work, evaluations, prioritizing and delegating work assignments as needed. QUALIFICATIONS To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. EDUCATION and/or EXPERIENCE Bachelor of Science Degree and seven to ten years related experience and/or training. Five to ten years' experience in leading/managing Labor Relations (union employees/matters, CBA construction, productivity, scheduling, etc.). LANGUAGE SKILLS Ability to read and comprehend simple instructions, write short correspondence, and memos. Ability to write simple correspondence, effectively present information one-on-one, small groups, and other employees of the organization. MATHEMATICAL SKILLS Ability to add, subtract, multiply, and divide in all units of measure, using whole numbers, common fractions, and decimals. Ability to compute rate, ratio, percent, and draw bar graphs. PHYSICAL DEMANDS The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to use hands to finger, handle, or feel; and talk and hear. The employee frequently is required to reach with hands and arms. The employee is continually required to stand and walk. The employee is frequently required to lift, squat, bend, and twist. The employee must occasionally lift and/or move up to 50 pounds and frequently lift and/or move up to 35 pounds. Specific vision abilities required for this job include speech, vision, touch, and hearing. WORK ENVIRONMENT The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly exposed to moving mechanical parts. The employee is occasionally exposed to risk mechanical hazards and paper/dust particles. The noise level in the work environment is usually loud.

About us We are an MIT-born, venture-backed Silicon Valley startup building Engineering General Intelligence (EGI)-an AI Copilot for design and manufacturing. Our mission is to fundamentally reinvent how physical products are designed and built, dramatically accelerating the pace of product development. About the Role You'll play a critical role in designing EGI: AI that understands how to design, reason, and build like an experienced mechanical engineer. In this role, you'll use your deep knowledge of mechanical design and manufacturing to create high-quality reference models, engineering workflows, and datasets that power our AI systems. You'll embed engineering judgment into the training loop and shape how machines learn to solve real-world design and manufacturing problems. Responsibilities Design and build high-quality mechanical components and assemblies in CAD to serve as ground truth for training and evaluating AI systems. Define and maintain standards for model quality, metadata, and annotation to ensure consistency and reliability across datasets. Collaborate closely with ML, software, and product teams to shape dataset requirements and influence model behavior through representative engineering examples. Manage and guide a team of external contractors, including writing SOPs, reviewing output quality, and ensuring timely delivery of data assets What we're looking for Bachelor's or Master's degree in Mechanical Engineering or related field. Strong foundation in machine design, product development, and design for manufacturing (DFM). Experience with one or more CAD platforms (e.g., Siemens NX, SolidWorks) with the aptitude to pick up new ones quickly. Strong attention to detail and appreciation for data/model quality. Excellent written and verbal communication skills, especially when documenting processes or communicating across teams. Experience managing external contractors or vendors, including writing clear standard operating procedures (SOPs), reviewing work quality, and providing feedback. Bonus Points Experience working with Software/ML teams. Experience with CAD automation and parametric model generation. Understanding of how large language models (LLMs) or other ML systems are trained and evaluated. #J-18808-Ljbffr

About LogRocket Founded in 2016, LogRocket's goal is to make every experience on the web as perfect as possible. We're solving a huge challenge for product managers and developers - understanding the user experience. LogRocket is the first system that gives these teams complete visibility into their customer's experience using their web apps - through pixel-perfect replays of user sessions and clear insight into logs, errors, and network activity. We've already attracted an elite roster of almost 3,000 customers including ClassPass, Capital One, Cisco, and Rippling, just to name a few. Our focus is on building software with care and craftsmanship and our engineering blog posts offer a taste of that. Backed by top investors such as Matrix Partners, Battery Ventures, and Delta-V Capital, we've raised $55M in funding and we're eager to bring talented people onboard to support our growth. We're on a mission to improve society's experience with software and that's where you come in. Responsibilities Improve quality of pager alerts while reducing noise Maintain awareness of engineering initiatives across the organization and monitor their impact on stability, cost, and performance Keep infrastructure up-to-date to take advantage of security patches and new features Improve operational security without sacrificing engineering independence Qualifications At least 4 years of experience as a Site Reliability Engineer, or related job Ability to read and understand product code (writing product code is a nice-to-have!) Familiarity with the state of the art in cloud technologies, including common providers, specific tools of the trade, and their strengths and weaknesses Experience operating applications and databases with demanding scalability or availability requirements Proven expertise in modern container orchestration practices (we use Kubernetes on GKE) A strong understanding of the performance, architecture, tooling, and cost of cloud systems A security focused mindset with a solid understanding of incident response and risk mitigation A strong collaborator who is transparent about progress on tasks, seeks feedback early and often, works effectively with the team and customers If you don't meet all of these, we still encourage you to apply. We believe that code is code, regardless of language, and learning different tools is part of joining a new company. Benefits & Perks Catered lunch and an impressive array of your favorite snacks (healthy AND non-healthy!) Unlimited vacation policy Health, Dental, Vision benefits, 401k, commuter benefits Generous stock options Regular team outings and activities (from boat rides to paintball, we'll try anything!) $135,000 - $220,000 a year This range is intended to provide a guideline for our typical compensation and may be modified based on location or experience of our finalist candidate. LogRocket is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. LogRocket will consider sponsoring visas for applicants in the US that need work authorization. #J-18808-Ljbffr

The primary role of the Mechanical Engineer is to provide technical ownership and refinement of packaging platforms and automation systems. Working with the Electrical and Controls teams, the Mechanical Engineer will execute the design and manufacturing of in-house packaging machinery and automation. Utilizing packaging machinery and automation platforms and modules, the Mechanical Engineer, in conjunction with the Electrical and Controls Engineers, will execute project and platform design evolution and execution, enabling the manufacturing of in-house packaging machinery and automation. Co-located with electrical and controls engineers, packaging designers, and materials scientists, this role will execute design duties to ensure that packaging machinery and supporting automation are simple, effective, and deliver lower total cost while enabling more sustainable packaging, streamlined supply chains, and lower total cost of ownership. Key job responsibilities: Collaborate with cross-functional engineers to design and execute packaging machinery and automation projects. Execute the mechanical design workstreams encompassing core module evolution, structural member design including the modular frame, safety/guarding, and incorporation of ancillary systems at the project/platform level while ensuring technical, cost, and timeline objectives are achieved. Deliver engineering workstreams including drive system modeling, load and bearing calculations, static and dynamic torque simulations and analysis, 3D and 2D model design including the mechanical BOM generation. Execute the detailed design evolution of modules and subsystems for material specifications, geographic requirements, and continuous improvement goals aligned with platform and project level initiatives. Partner with the Electrical Engineering team to ensure project documentation is complete and scalable for electrical schematics, BOM, I/O's, and subsystem programs. Support the project team in the safety certification of the project/platform (CE, UL, CSA, TUV, etc.). Additional Skills & Qualifications BASIC QUALIFICATIONS Experience in developing functional specifications, design verification plans and functional test procedures BA in Mechanical or Mechatronics Engineering 8+ years packaging machinery design experience Proficiency in 3D design and simulation software including but not limited to Ansys, Creo, Catia, Solidworks Job Type & Location This is a Contract position based out of Westborough, MA. Pay and Benefits The pay range for this position is $55.00 - $70.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: Medical, dental & vision Critical Illness, Accident, and Hospital 401(k) Retirement Plan Pre-tax and Roth post-tax contributions available Life Insurance (Voluntary Life & AD&D for the employee and dependents) Short and long-term disability Health Spending Account (HSA) Transportation benefits Employee Assistance Program Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in Westborough,MA. Application Deadline This position is anticipated to close on Jan 31, 2026. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing due to a disability, please email actalentaccommodation@actalentservices.com for other accommodation options.

Our teams are made up of engineers, researchers, innovators, dreamers, and doers. Together, we can change the world. All Motional open positions and applications will be posted here on the official website. 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. 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. Motional is powered by a uniquely talented, highly experienced team with a diverse set of skills across engineering, robotics, machine‑learning, and artificial intelligence. #J-18808-Ljbffr

About this role: Pickle is on the hunt for a dynamic and driven Machine Learning Engineer to revolutionize the future of warehouse automation. This role sits at the critical intersection of Perception and MLOps. You will focus on two key pillars: developing robust scene understanding models and building the deployment and analysis infrastructure that allows us to measure, understand, and improve our robots performance in the real world. Responsibilities: Build Performance Analysis Systems: You will design systems that automatically analyze robot telemetry and video logs to detect anomalies, quantify perception failures, and provide deep insights into why a robot performed a certain way. Scale the Data Engine: You will take ownership of the data lifecycle. You will build automated pipelines to mine interesting events from fleet data, implement active learning strategies to curate high-value datasets, and drive the continuous improvement of our model suite. Develop Scene Understanding Models: You will train and refine 2D/3D vision models specifically designed for event detection and semantic understanding. Master Edge Deployment: You will own the optimization and deployment of these models. You will use tools like TensorRT and ONNX to ensure our models run efficiently on edge hardware (NVIDIA Orin). Define Perception Metrics: You will move beyond simple validation loss and define real-world performance metrics that correlate with customer success, visualizing these trends for the broader engineering team. Skills: 3+ Years of Experience in Computer Vision and Machine Learning, with a strong focus on MLOps, deployment, or data infrastructure. Strong proficiency in Python and PyTorch. You are comfortable writing tooling scripts, data queries, and deployment pipelines. You have experience optimizing models for the edge using TensorRT, ONNX Runtime, or CUDA. You understand how to profile model performance and manage resource constraints. You treat data as a product. You have experience utilizing SQL, data lakes, or vector databases to manage large-scale datasets and automate quality assurance. Familiarity with VLMs and 2D/3D Vision architectures sufficient to debug model failures and understand data needs. You can translate high-level product requirements into specific engineering tasks and explain technical trade-offs to non-expert stakeholders. Familiarity with Docker, AWS/GCP (S3, EC2), labeling platforms and experiment tracking tools. $130,000 - $160,000 a year Pay at Pickle At Pickle Robot Company, we believe transparency builds trust. The salary range listed here is provided in accordance with Massachusetts law and reflects what we reasonably and in good faith expect to offer for this role. We often consider candidates at different levels of seniority, and final compensation will reflect the level at which a candidate is hired, along with factors like experience and location. About Pickle Robot Want to get in on the ground floor of a fast-growing, VC-backed robotics company? Join Pickle Robot! We build systems that companies and their teams love. Pickle robots unload trucks. Every day, millions of trucks and containers are loaded and unloaded, often requiring manual labor-tough, dirty, dangerous, and hard to staff. Pickle automates this process using AI, machine learning, and robotics to deliver reliable products. Our Unload Systems work with teams on loading docks to make the job safer, faster, and more efficient. Pickle provides best-in-class benefits including health, dental, & vision insurance; unlimited vacation, along with all federal and state holidays; 401K contributions of 5% your salary, travel supplies, and other items to make your working life more fun, comfortable, and productive. #J-18808-Ljbffr

.**About the Opportunity****About the Institute for Experiential AI and Northeastern University**We have launched a pioneering research and innovation hub in AI-one that will shape the way humans and machines collaborate for decades to come. Led by Prof. Alan Mislove, the Institute for Experiential AI is built around the challenges and opportunities made possible by human-machine collaboration. The Institute provides a framework to design, implement, and scale AI-driven technologies in ways that make a true difference to society. Our ability to respond to the opportunities afforded to society will depend on training and building a workforce that is AI-capable and prosperous.Founded in 1898, Northeastern is a global research university and the recognized leader in experience-driven lifelong learning. Our world-renowned experiential approach empowers our students, faculty, alumni, and partners to create impact far beyond the confines of discipline, degree, and campus.**The Culture**Here at the Institute for Experiential AI (EAI) we are committed to the highest standards in all that we do. Working at the EAI offers opportunities, an environment, and a culture that just aren't found together anywhere else. This is the right place for you if you're curious, motivated by the future of technology, and want to be part of a unique and diverse community that works on high-impact research, educational, business, and societal problems The Data Science and Machine Learning Engineer will report to Ayan Paul, Research Scientist at EAI and collaborate with Scientists and Clinicians from Peter Castaldi's group at the Harvard Medical School, John Platig's Network Biology group at University of Virginia and Jennifer Dy's Machine Learning group at ECE, Northeastern University and Predrag Radivojac's group at Khoury College, Northeastern University. There will also be opportunities to work on industry collaborations. Responsibilities will include building an ETL and ML pipelines for multiomics or healthcare data, write code for data analysis and post-processing data. Training of models like CNN, RNN, Transformers with some work in classical machine learning with XGBDTs is expected. Relevant work can lead to co-author publications and contributions to grant proposals. Tentative start date: February 2026 for the Spring 2025 semester with possibilities of renewal. This work will contribute towards drug discovery, protein structure and function prediction and understanding disparities in healthcare.**Qualifications**● MS in Data Science, Machine Learning, Artificial Intelligence, or related fields or currently enrolled in a master's program.● A minimum of 3-4 years of experience working with ML/AI (TensorFlow/Pytorch) and ETL pipelines.● Proficiency in Python and R. Experienced with Unix and remote computing clusters.● Having experience in wrangling large datasets, building databases and ETL is preferred.● An ability to write clean and well-documented code and work with GitHub repositories.● Excellent organizational skills including attention to detail and multitasking.● An ability to troubleshoot and problem-solve in response to challenges, especially, in an unfamiliar domain.● Experience with AWS is a plus but not required**Values & Abilities:**● Excellent written and verbal communication skills and ability to communicate effectively with a variety of different stakeholders from various academic backgrounds.● Respect for diversity and the importance of interdisciplinary teams.● Self-starter and innovative thinker and a team-player who can collaborate effectively in a university setting.● Open-minded, assertive, and professional when collaborating and working within our team and with other groups within Northeastern University, Harvard Medical School, and University of Virginia.**Key Responsibilities:**The Data Science and Machine Learning Engineer will be responsible for a wide variety of data-oriented tasks, including:● Building data preprocessing pipelines for ML/AI models (TensorFlow/Pytorch) for multi-omics and healthcare data from to achieve state-of-the-art performance.● Build ETL pipelines for large datasets● Documenting the entire process and all the codes generated and maintaining structured and regular commits in a Github repository.● Write reports/prepare slide decks describing work performed.● Contribute to scientific manuscripts and grant proposals where appropriate.**Position Type**Non-Student Temporary (20 hrs/week)**Position Type**Temporary**Additional Information**Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit for more information. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.This job is for a current or anticipated job vacancy.**Pay Rate:**$40/hour Founded in 1898, Northeastern is a global research university and the recognized leader in experiential lifelong learning. Our approach of integrating real-world experience with education, research, and innovation empowers our students, faculty, alumni, and partners to create worldwide impact.Our global university system provides our community and academic, government, and industry partners with unique opportunities to think locally and act globally. The system-which includes 14 campuses across the U.S., U.K., and Canada, 300,000-plus alumni, and 3,000 partners worldwide-serves as a platform for scaling ideas, talent, and solutions. The university's residential campuses for undergraduate and graduate degrees are located in Boston, London, and Oakland, California. Our research and graduate campuses are in the Massachusetts communities of Burlington and Nahant; Arlington, Virginia; Charlotte, North Carolina; Miami; Portland, Maine; Seattle; Silicon Valley, California; Toronto; and Vancouver.Northeastern's personalized, experiential undergraduate and graduate programs lead to degrees through the doctorate in 10 colleges and schools across our campuses. Learning emphasizes the intersection of data, technology, and human literacies, uniquely preparing graduates for careers of the future and lives of fulfillment and accomplishment. Our research enterprise, with an R1 Carnegie classification, is solutions oriented and spans the world. Our faculty scholars and students work in teams that cross not just disciplines, but also sectors-aligned around solving today's highly interconnected global challenges and focused on transformative impact for humankind. #J-18808-Ljbffr

Machine Learning Engineer page is loaded## Machine Learning Engineerlocations: Boston, MA, UStime type: Full timeposted on: Posted Yesterdayjob requisition id: R10124We are constantly looking to add to our core talent. If you are seeking a career that is challenging and rewarding, a work environment that is diverse and dynamic, look no further - Haemonetics is your employer of choice.## Job Details**Key Responsibilities:*** **Applied Machine Learning:** Implement practical ML solutions. This involves training "classic" models (regression, classification) or integrating off-the-shelf models and APIs, rather than researching deep learning architectures from scratch.* **Data Discovery & Preparation:** Analyze mixed datasets (structured SQL data, logs, and unstructured inputs) to determine if they are viable for automation or prediction. You will be the first to "view" this data with an ML lens.* **Integration & Prototyping:** Build Python-based services (e.g., wrapping models in APIs) and collaborate with the core Software Team to integrate these predictions into our .NET enterprise applications.* **Technical Validation:** Review and validate technical deliverables from external AI consultants to ensure they are sound, maintainable, and properly documented.* **Regulated Engineering:** Ensure all ML code and data handling processes comply with strict regulatory standards (e.g., rigorous version control, data privacy/HIPAA, and documentation).**Required Knowledge, Skills, & Capabilities:*** **Education:** Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.* **Experience:** Minimum of 3-4 years of professional software development experience, with **demonstrable experience in Data Science or Machine Learning projects**.* **The "Python Stack":** proficiency with Python and standard libraries (Pandas, NumPy, Scikit-learn) is required.* **Versatility:** You are comfortable wearing multiple hats. You might be cleaning data on Monday, tweaking a regression model on Tuesday, and writing a Python API wrapper on Wednesday.* **Independence:** Ability to work as the sole ML practitioner within a Scrum team of C# developers. You can research problems and unblock yourself without a senior Data Scientist sitting next to you.* **General Software Skills:** Familiarity with version control (Git), APIs (REST), and basic software design principles.**Desired Assets (Nice to have):*** Experience working in a **regulated industry** (Medical Device, Pharma, Finance, etc.) or knowledge of standards like **IEC 62304, ISO 13485, or HIPAA**.* Familiarity with **C# / .NET** (you don't need to be an expert, but you need to be able to read the code and work with the team that writes it).* Exposure to cloud environments (AWS preferred) for deploying simple services.**General Skills:*** **Pragmatic:** You prefer a simple solution that works over a complex one that is theoretically perfect.* **Curious:** You are excited to dig into complex medical data to find patterns.* **Communicator:** You can explain data concepts to stakeholders who do not have a math background.**Pay Transparency:**The base pay actually offered to the successful candidate will take into account, without limitation, the candidate's location, education, job-knowledge, skills, and experience in prior relevant roles. Incentives may also be provided as part of Haemonetics' employee compensation. For sales roles, employees will be eligible for sales incentive (i.e., commission) under the applicable plan terms. For non-sales roles, employees will be eligible for a discretionary annual bonus, the target amount of which varies based on the applicable role, to be governed by the applicable plan terms. Employees may also be eligible to participate in the Company's long-term incentive plan, with eligibility and target amount dependent on the role.In addition to compensation, the Company offers a competitive suite of benefits to its employees, including without limitation, a 401(k) with up to a 6% employer match and no vesting period, an employee stock purchase plan, “flexible time off” for salaried employees and, for hourly employees, accrual of three to five weeks' vacation annually (based on tenure), accrual of up to 64 hours (annually) of paid sick time, paid and/or floating holidays, parental leave, short- and long-term disability insurance, tuition reimbursement, and/or health and welfare benefits.Depending on your location, you may be eligible for more detailed information related to the compensation and benefits related to this job posting. If you believe you may be entitled to such information by law, you may contact **************, Monday through Friday, 7:30 a.m. - 5 p.m. ET or email *********************.The base salary range for this role is:$101,074.94-$136,586.75/Annual #J-18808-Ljbffr

Boston Red Sox and Fenway Sports Management Type: Full-time Salary: Not disclosed Members of the Baseball Systems team at the Boston Red Sox are focused on designing, building, and refining the software and data pipelines used within Baseball Operations. These tools and applications are an integral part of the decision‑making process, are directly integrated in the workflows of all departments within Baseball Operations, and provide an efficient, consistent, and accessible experience when interacting with our internal data sources and applications. POSITION OVERVIEW The DevOps & Site Reliability Engineer, Baseball Systems position will be a member of the baseball operations software development team and is responsible for the cloud operations and automation supporting all Baseball Operations systems. This individual will work closely with members of baseball operations to understand business requirements that drive the analysis, design, and long‑term roadmap of a best‑in‑sport automation and cloud operations framework. This position is responsible for Azure operations, deployment automation, and will collaborate closely with colleagues on the software development team and baseball operations personnel from all departments. RESPONSIBILITIES Design, build, and maintain robust and scalable cloud infrastructure on Azure, including virtual machines, containers, storage, and networking. Develop and implement automation solutions using tools such as Terraform, Ansible, or Azure DevOps to streamline infrastructure provisioning, configuration management, and deployments. Build and maintain continuous integration and continuous delivery (CI/CD) pipelines using Azure DevOps or similar tools. Monitor and troubleshoot production systems, identify and resolve performance bottlenecks, and implement proactive measures to prevent outages. Collaborate with development teams to improve software delivery processes, promote best practices, and ensure system reliability. Participate in on‑call rotations and provide timely support for production issues. Stay up‑to‑date with the latest technologies and trends in cloud computing, DevOps, and SRE. COMPETENCIES Aptitude and ability to document and create frictionless CI/CD pipelines. An understanding of general engineering practices in the collaboration of achieving performant cloud solutions & DevOps practices. Ability to pick up quickly and think both creatively and critically to solve problems. A basic understanding of contemporary baseball and/or sports analysis and development practices. A team‑player that collaborates effectively with technical and non‑technical stakeholders. ADDITIONAL QUALIFICATIONS 3+ years of experience in a DevOps or SRE role. Strong experience with Azure cloud platform services, including compute, storage, serverless functions, APIs, and security. Proven experience in building and maintaining CI/CD pipelines using tools like Azure DevOps, Github Actions, or similar. Proficiency in scripting languages such as Python or Bash for automation tasks. Experience with infrastructure‑as‑code tools such as Terraform, Ansible, or Puppet. Strong understanding of networking concepts, including VPCs, subnets, routing, and security groups. Experience with containerization technologies such as Docker and Kubernetes. Experience with integration with Slack. Excellent communication and collaboration skills. Strong problem‑solving and analytical skills. In addition to the above requirements, all roles within Baseball Operations are expected to effectively demonstrate our universal competencies related to problem solving, teamwork, clarity of communication, and time management, along with embodying our culture of honesty, humility, relentlessness, and commitment to DEIB. #J-18808-Ljbffr

The Role Cimulate is seeking a skilled Site Reliability Engineer to join our dynamic team as we revolutionize the future of commerce through intelligent, AI‑driven systems. In this pivotal role, you'll own the reliability, availability, and performance of our SaaS production environment-monitoring critical systems, managing deployments, and ensuring seamless operations for our customers. As a Site Reliability Engineer, you'll manage production support processes, deployments (including model releases), and incident response, with an opportunity to grow the role into managing vendor partners for 24/7 follow‑the‑sun coverage. This position combines hands‑on technical problem‑solving with process ownership and operational leadership. Your work will directly contribute to the stability and scalability of Cimulate's AI platform, supporting our mission to help businesses operate and engage more intelligently. Responsibilities Ensure reliability, availability, and performance of SaaS production systems and AI pipelines. Monitor production environments, deployed models, and data pipelines; respond rapidly to incidents and service disruptions. Manage deployments, configuration changes, and release processes (e.g., model and service rollouts). Maintain and enhance observability, monitoring, and alerting systems (e.g., Grafana, Prometheus, ELK). Lead incident response, postmortems, and continuous improvement of operational processes and playbooks. Partner with DevOps and engineering teams to improve scalability, fault tolerance, and automation. Track and improve reliability metrics (SLAs, SLOs, SLIs). Create and maintain clear technical documentation, including runbooks and escalation paths. Participate in on‑call rotation and drive improvements in incident management and response. Grow into managing vendor teams providing 24/7 L1 operational coverage. Requirements Proven experience in monitoring and supporting production systems, preferably in a SaaS or multi‑tenant environment. Strong knowledge of Linux systems and scripting (Python, Bash, or Go). Hands‑on experience with cloud platforms (GCP preferred; AWS/Azure also valuable) and container orchestration (Kubernetes, Docker). Familiarity with Infrastructure‑as‑Code (IaC) tools such as Terraform or Pulumi. Understanding of networking, databases, and performance tuning. Experience with observability, monitoring, and logging tools (Grafana, Prometheus, ELK, etc.). Proficiency with Git, version control workflows, and CI/CD pipelines. Strong analytical, debugging, and problem‑solving skills. Excellent communication and collaboration abilities, including with non‑technical stakeholders. Calm under pressure and effective in incident management situations. Growth mindset with the ambition to build and lead scalable 24/7 production operations. Nice to haves Experience working with security, compliance, or audit frameworks. Exposure to AI/ML pipelines or data‑driven systems. Prior experience managing offshore or vendor‑based support teams. Why Join Cimulate? Work with a passionate and collaborative founding team Make a real impact at an early‑stage startup with high‑growth potential Help redefine the future of online shopping and personalization Competitive compensation, equity, and benefits #J-18808-Ljbffr

Plant Reliability Engineer page is loaded## Plant Reliability Engineerremote type: Fully Onsitelocations: Tuscola, ILtime type: Full timeposted on: Posted 4 Days Agojob requisition id: R25\_000005Cabot Corporation (NYSE: CBT) is a leading global specialty chemicals and performance materials company headquartered in Boston, Massachusetts, USA. Our businesses deliver a broad range of products and solutions to customers in every corner of the globe, serving the transportation, infrastructure, environment and consumer industry sectors. We bring the power of innovative chemistry to solve customers' challenges today while preparing them to meet tomorrow's needs. Our commitment to innovation is driven by a passion to advance our customers' businesses through our deep understanding of their applications and the global trends that impact their operations. If you do not meet every requirement, or your experience is slightly different that what we have listed, we still encourage you to apply! Cabot has an exciting opportunity for a Plant Reliability Engineer to join the team. This person will provide technical support and drive continuous improvements in manufacturing functions including production, packaging, and warehouse processes. They will help to improve capability, capacity and productivity at the site to ensure safe and optimal process utilization. They will implement capital and expense projects within scope, cost, time, and safety standards as well as identify and execute improvements in equipment reliability and process safety management.The Plant Reliability Engineer will work on-site at the Tuscola, IL plant. **How You Will Make an Impact:**• Identify, recommend and implement improvements in plant performance to optimize product rates, yields, and quality in accordance with business needs and in alignment with SH&E requirements. • Provide technical support to resolve problems. Use statistical techniques to improve process capability and control. Use failure analysis methodologies to identify root causes. Recommend and implement solutions. Work in collaboration with cross functional departments to achieve company goals. • Provide support for the site mechanical integrity program by investigating equipment issues and eliminating the recurrence of failures that will improve plant performance and reliability. Review maintenance work plans to ensure optimum preventative maintenance scheduling and maintenance work practices. Develop Asset Care Plans to monitor the condition of plant equipment to maximize plant safety and reliability to reduce downtime. • Assist in the design, procurement, and installation of new equipment. Recommend, develop, and coordinate capital improvements. Support and implement new product and process development. Create manufacturing Standard Operating Procedures for process and equipment operation. • Conduct “end-of-life” assessments making recommendations for equipment repairs and replacements. Identify and implement improvements in equipment monitoring capabilities. • Serve as Process Safety Management (PSM) custodian for manufacturing in coordination with site and regional PSM representatives in the evaluation of manufacturing process-related risks and incidents. Participate in Process Hazards Analysis (PHA) for key manufacturing and capital projects. Ensure all product and process changes are implemented in line with appropriate Management of Change (MOC) principles. Provide training as required for manufacturing personnel. • Monitor maintenance and capital projects and external contractors in accordance with all site regulations and standards. • Support efforts to implement and maintain the Responsible Care Management System in line with the requirements of the RC14001 technical specification. **What You Will Bring to Cabot:**• Knowledge of chemical manufacturing process technologies, engineering principles, mechanical and instrumentation systems, calibration and maintenance, and local and distributed control systems. • Knowledge of Root Cause Failure Analysis (RCFA) methodologies and reliability analysis tools. • Knowledge in areas such as confined space entry, lockout-tag-out, hot-work permitting, etc. • Statistical analysis and equipment diagnostic skills. • Project management skills including scheduling, safety oversight, and contractor management.• Bachelor/University degree in a relevant Engineering discipline. • Minimum 2+ years' experience in an appropriate manufacturing environment.**How We'll Support Your Success:**• Pay and Benefits - The salary range for this role is from $86,500 to $119,000. The actual compensation offered to the successful candidate will depend on the candidate's skills, qualifications, experience, and location. This role is eligible for comprehensive benefits on the first day of employment and an annual discretionary bonus based on company performance.• Dynamic, Flexible, Hard Working, Team Environment - We are busy, collaborative, growing, and we are doing really meaningful work. • Growth -Training, great peer coaching and support, and the ability to personally grow your influence, your position, and your compensation. • Meaningful Work that is Valued - Customers are demanding sustainable solutions without compromising quality or performance. The work we do is visible, and is helping to create a more abundant, affordable, and cleaner future. It is an awesome feeling to know you're making a living by making a positive impact in the world; and to be able to say, “I was a part of that.” • Feedback - we are committed to giving and receiving feedback in a direct and open fashion. • Support - you are part of a team and deserve to feel encouraged and supported. You will be part of a team that cares about you personally and professionally. Our success depends on your success.#LI-Onsite#CINDAt Cabot, we bring the power of innovative chemistry and a spirit of partnership with our customers to advance solutions that will enable a sustainable future. Our strength in research and development is a major reason why we have been an industry leader for more than 135 years in products such as reinforcing and specialty carbons, battery materials, aerogel, fumed metal oxides, inkjet colorants, masterbatches and conductive compounds. Our employees around the world are united by our shared purpose: Creating materials that improve daily life and enable a more sustainable future. Through our corporate strategy, “Creating for Tomorrow,” we are focused on our core strengths to lead in performance and sustainability - today and into the future.***EEO/AA Employer/Vet/Disabled/RC14001** Realizing we function better together than individually, Cabot Corporation is proud to be an equal opportunity employer. We are committed to fostering an inclusive culture that embraces our differences and to empower employees to achieve exceptional results, without consideration of sex, race, color, religion, national origin, citizenship, age, disability, marital or veteran status, sexual orientation, gender identity or expression, or any other legally protected categories. This includes providing reasonable accommodation for employees' and applicants' disabilities or religious beliefs and practices, in accordance with applicable law.**Cabot is committed to supporting and maintaining a safe and environmentally focused working environment. All employees are expected to uphold this commitment in every position.****Nondiscrimination Policy with Respect to Discussion of Pay** This is to advise that it is the policy of Cabot Corporation not to discharge or in any other manner discriminate against any employee or applicant for employment because such employee or applicant has inquired about, discussed, or disclosed the compensation of the employee or applicant or another employee or applicant. This policy, however, shall not apply #J-18808-Ljbffr

👋 Join us at Remark Join the Remark Revolution Remark is reshaping the e‑commerce landscape by harnessing the power of AI and personalized support to solve a critical problem: the low conversion rates plaguing online shopping. Our platform connects shoppers with trained product experts, using AI to enhance every interaction and turn browsing into buying. With Remark, we're not just selling products; we're providing a seamless, personalized shopping experience that boosts revenue and builds loyalty. We're a mix of visionaries, tech enthusiasts, and, frankly, a few eccentrics who've sharpened our skills at giants like Amazon, Microsoft, and Salesforce. Now, we're channeling our collective expertise into building an environment that values curiosity, innovation, and a bit of fun along the way. ⚡️What we're looking for As a Machine Learning Engineer working on Remark's core platform, you will be responsible for planning, implementing, and testing features that change the way consumers buy online! Do you love solving complex AI problems, developing strategy and roadmaps, and working in a highly collaborative environment? If so, this could be the perfect match. We build on a modern stack centered around TypeScript. Major elements include NestJS, Prisma, Bull, LangChain, and GraphQL. Ownership is a big facet of the culture at Remark, and as such we encourage strong input from each team member. If you feel strongly about building with something else, we'll hear you out. 📓Responsibilities Develop and enhance our LLM-based operations and pipelines. Work on cutting‑edge role‑playing and persona duplication techniques. Report directly to our Chief Technology Officer. Develop actionable roadmaps for new capabilities, and work with the engineering team execute on that roadmap. Implement comprehensive evals for new capabilities. Balance speed and quality, with a focus on tangible results. Participate in frequent code‑reviews with fellow team members. 🛠Qualifications Strong background in Deep Learning, Machine Learning, and NLP. Proficient in JavaScript and Python. Expertise in building applications leveraging LLMs, with an understanding of performance, latency, and deployment considerations. Familiarity with LLM‑enabled tooling, including frameworks (LangChain, LlamaIndex), vector databases, caching solutions (Redis), and monitoring tools. Knowledge of secure deployment practices and robustness against prompt injection. Passion for solving customer problems, developing strategies and roadmaps, and executing those plans to bring value to our business and customers. Experience with using qualitative and quantitative data (especially from A/B tests) to make engineering decisions. You also know when and how to balance data with intuition. 🎈Bonus points if You have cool open source contributions You thrive when things move fast You've seen a mountain goat 🐐 ⚕️Benefits Competitive salary and equity Full healthcare benefits (medical, dental, vision) Flexible PTO (at least 15 days / year recommended) At least 1 company retreat to Colorado annually $500 expense reimbursement for qualified fitness and outdoor recreation activities 🚀 Ready to join? Let's do this! The jobs listed are guidelines - not perfect outlines - of who we expect you to be. We'd love to hear from you even if you color outside the lines. At Remark, we're building a workplace where everyone can belong. We're committed to diversity and inclusion and encourage applicants from all backgrounds to join our team. Remark is proud to be an equal opportunity employer. #J-18808-Ljbffr

We're hiring our first ML Software Engineer to work alongside our cofounder, Thane Hunt, in developing our software stack to help interpret raw data s Corp We're building the next generation of technological controllers using proprietary and patent-protected technology that translates muscle movement into data. Role Machine Learning Software Engineer About Us: We are a cutting-edge technology company focused on revolutionizing the way we interpret raw tendonal and muscular data into actionable technological outputs. Our goal is to empower industries and individuals with transformative software that bridges the gap between human motion and machine interaction. We're a fast-paced, innovative team driven by curiosity, purpose, and a passion for creating real-world impact. We are looking for a super nimble, self-directed Machine Learning Software Engineer to join us in building the future of wearable tech and motion analytics. About the Role: As an ML Software Engineer, you'll be responsible for designing and implementing advanced machine learning algorithms to process complex muscular and tendonal data and convert it into outputs. You'll work at the cutting edge of biomechanics and wearable technology, creating software that empowers our devices to understand and interpret human motion in real time. What You'll Do Design and implement machine learning models to analyze raw datasets and translate it into actionable technological outputs. Collaborate closely with hardware and software engineers to integrate ML solutions into our software stack. Continuously optimize and improve the performance of our models, focusing on real-time data processing and reducing latency. Develop and test novel algorithms to ensure they meet the evolving needs of our product and industry. Take ownership of your projects from concept to deployment, balancing speed and accuracy to ensure timely delivery of working solutions. Engage in problem-solving and troubleshooting, keeping the team moving forward despite challenges or roadblocks. Contribute to a fast-paced, agile development process where doing is prioritized over perfection. Stay up to date on the latest advancements in machine learning, biomechanics, and wearable technology, and continuously innovate. Qualifications Experience in developing machine learning models, with a focus on real-time data processing. Solid programming skills in Python, C++, or similar languages commonly used in machine learning environments. Proficiency with ML libraries (TensorFlow, PyTorch, etc.) and data manipulation tools (Pandas, NumPy, etc.). Experience with sensor data and working with raw data inputs from wearables or similar devices. Comfortable working in a self-directed environment with little supervision-your ability to prioritize and execute will set you apart. A bias towards doing: You're someone who gets things done, doesn't wait for perfect conditions, and takes action to solve problems. A growth mindset, excited to take on new challenges and innovate in a fast-moving environment. Excellent communication skills and a collaborative attitude, even when tackling complex technical problems. Nice-to-Haves Experience with biomechanics, kinesiology, or motion analysis. Familiarity with real-time systems and edge computing. Knowledge of motion capture technologies, wearable sensors, or gesture recognition. Familiarity with cloud platforms and deploying ML models at scale. Why Join Us Work at the intersection of biomechanics, AI, and wearable technology-help us shape the future of human-machine interaction. Be part of a nimble, collaborative team where every member's voice is heard, and every contribution matters. Opportunities for professional growth and learning in an innovative, fast-paced environment. Competitive compensation and equity options in a company and cofounders who prioritize communication and seeing the world outside the box. #J-18808-Ljbffr

What You'll Do: Maintain and support production equipment Identify and implement cost-reduction initiatives across plant manufacturing operations Assist in product design efforts with a focus on Design for Manufacturing (DFM) parts and processes Analyze, review, and optimize existing manufacturing processes to improve efficiency using Lean manufacturing techniques Recommend, justify, and implement new equipment and process installations Prepare routings, process sheets, work instructions, and process drawings; establish feeds, speeds, cycle times, and other operating parameters for various equipment Support production personnel in troubleshooting process and quality issues Define and establish manufacturing engineering requirements related to machinery, equipment, tooling, manufacturing methods, processes, and routings Perform additional duties and responsibilities as required What We're Looking For: Bachelor's degree in Mechanical Engineering, Manufacturing Engineering, or Industrial Technology 5+ years of experience with manufacturing technologies, processes, methods, machining, and assembly 5+ years of experience supporting manufacturing operations, product lines, or production practices Strong critical thinking and analytical skills Clear, professional, and respectful verbal and written communication skills within a collaborative and inclusivework environment Hands-on experience with Lean Manufacturing methodologies Experience with electrical-mechanical assembly Ability to collaborate effectively with engineers, production teams, and external vendors

No C2C / Only W2 / No Sponsorship Seeking a Mechanical Design Engineer to support R&D in developing mechanical components for electrical distribution systems, including automatic transfer switches, switchgear, and power control equipment. Role involves 3D solid modeling in Creo/ProE, enhancing existing products, and designing new components to meet performance, reliability, and safety needs. Responsibilities: Design mechanical components and assemblies. Perform 3D modeling and tolerance analysis. Select materials, parts, and mechanical elements. Test and validate designs. Create layouts, documentation, and specifications; maintain technical files. Improve development procedures. Implement and verify design solutions. Adapt designs for localization needs. Coordinate with manufacturing, suppliers, and testing labs. Qualifications: Bachelor's in mechanical engineering. 2+ years' experience in mechanical design/R&D for electrical distribution products. Strong Creo/ProE 3D modeling skills. Proficiency in Microsoft Office. Strong problem-solving and communication abilities; ability to work independently and in teams. Preferred: experience with Automatic Transfer Switches (ATS).

A leading biotechnology firm in Boston seeks a Senior Mechanical & Automation Engineer. This role involves developing and automating manufacturing solutions for innovative therapies. Candidates should have extensive experience in automation development, mechanical design, and a strong understanding of cGxP principles. This is a five-day-a-week role requiring onsite presence for three days weekly. Compensation ranges from $75 to $90 per hour, with eligibility for overtime pay. #J-18808-Ljbffr

Join JB&B and shape the future of the built environment! Founded in 1915, Jaros, Baum & Bolles has been a pillar of engineering innovation in New York City for over a century. Specializing in mechanical, electrical, plumbing (MEP), JB&B has contributed to some of the most iconic buildings. In October 2025, JB&B joined forces with Trinity Consultants, a global consulting firm focused on the natural and built environments. JB&B now operates within Trinity's Built Environment division, combining its deep expertise in high‑performance building systems with Trinity's strengths in acoustic design, facility operations, commissioning, and technology strategy. This strategic merger expands JB&B's capabilities and offers employees: Access to a broader portfolio of international projects and clients Enhanced career mobility across Trinity's global network Interdisciplinary collaboration with experts in sustainability, environmental science, and digital infrastructure About the Role JB&B is seeking a Senior Project Engineer to join the Electrical department at our Boston office. The Senior Project Engineer is a technically skilled and experienced engineer with excellent communication, coordination, project management, and leadership skills. This role typically manages one to two smaller projects and is the key designer on larger base‑building and infrastructure upgrade projects. Responsibilities Leads the design on tenant fit‑out projects and is a key designer on base‑building/infrastructure upgrades; assembles riser diagrams, schedules, and floor plans; participates in specification writing. Establishes design criteria from the project proposal and assembles basis of design documents. Assembles a complete set of contract documents for their trade including the layout of main equipment rooms, closets, shafts, risers, etc. Leads design for their trade's ancillary systems required for a project and can assemble scope-associated drawings with these systems (e.g., UPS, generators, fuel, secondary water pumps, water reclamation system). Reviews shop drawings, RFIs, contractor change orders, performs site visits and punch‑lists with limited supervision to verify that designs are being implemented accurately. Assists in establishing an efficient project schedule for their project team that ensures appropriate use of resources while adhering to deadlines. Assists in following up on progress and completion of tasks; holds team members accountable to completing tasks on time regardless of their position. Qualifications Minimum 5 years of experience Bachelor's degree in Electrical Engineering Strong understanding of trade‑specific scope of project, trade‑related codes, and the required coordination with other trades Strong understanding of documentation requirements and content for each deliverable phase (e.g., SD, DD, CD and specifications) Proficient in all design calculations and software tools (e.g., Revit and AutoCAD) applicable to the discipline Why Work at JB&B? Legacy + Innovation: Our company blends a rich history with forward‑thinking design, including smart building systems and deep carbon reduction strategies. Collaborative Culture: With over 400 professionals, our company fosters mentorship, teamwork, and continuous learning.Global Impact: Now part of Trinity, our company offers opportunities to work on transformative projects across commercial, healthcare, aviation, life sciences, and data center sectors. Multiple office locations: New York, Boston, and Philadelphia. What We Offer Hybrid workplace offering the flexibility to work both from home and the office Comprehensive benefits package including 401k employer match and stock options Paid time off (PTO), volunteer program and employee resource groups Training and professional development courses through JB&B University Estimated compensation range: $100,000 - $115,000 a year. Jaros, Baum & Bolles is an equal‑opportunity employer. All qualified candidates will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. #J-18808-Ljbffr

& Responsibilities The Senior Process Engineer Technical Services is responsible for driving overall process technology implementation initiatives, continuous improvement / optimization programs, and leading innovation as it relates to Radius shredders, joint products, and other ferrous and non-ferrous operations. Improving yields, product quality and developing new product streams is a key pillar of the technical services department strategy and as such, this role is a key role in ensuring Radius' success in delivering on improved production metrics, throughput, product quality, sustainable low carbon products and reducing environmental footprint. Essential Functions Play a key role in implementing the metal recovery technology strategy and other technological improvements across the Radius enterprise. Project manage the overall execution of technology, continuous improvement and capital projects, ensuring proper resources are identified and assigned, projects are scoped and scheduled, and progress is monitored and managed. Lead process improvement and technological advancements in recycling with the goals of enhancing product quality, increasing metal recovery (reduce/divert landfill), help in creating new product streams (plastics, tires, and other adjacencies), and growing process efficiencies (throughput, mechanical availability, etc.). Establish and maintain necessary relationships and contracts with third party service providers, engineering firms, contractors, and consultants to ensure initiatives are appropriately engineered and adequately resourced. Act as a technical resource to the management teams (shredder, JP, maintenance, etc.) to assist with any technical opportunities that arise during operations. Leverage existing systems as well as define and establish new improved systems and processes. Ensure project budgets are effectively and efficiently utilized and met. Develop and deliver training and support tools for operations to institutionalize new technologies and process improvements. Assist in the development of fiscal year capital plans for any of the continuous improvement or reliability projects, including but not limited to, major maintenance projects, outages and others. Provides process training to employees as necessary. Work closely with Environmental, Health & Safety teams to ensure adherence to all Radius policies and procedures as well as identify opportunities for sustainability improvements and reducing impact on the environment. Ensuring a safe work environment for all employees, customers and visitors. Internal Control Responsibilities Supports Internal Control process which includes understanding, communicating, and complying with defined internal controls as well as suggesting and making modifications to the policies, procedures, and controls to better match the business. Communicates upward problems in operations, noncompliance with the code of conduct, or other policy violations or illegal actions. Interpersonal Contacts The Senior Process Engineer - Technical Services will be required to develop and maintain effective working relationships with Technical Services peers, the Operations team including Operations Managers (Shredder, Shear, Balers and Joint Products), Regional Managers, Purchasing Managers, Maintenance Managers at Radius facilities. The role will also be required to develop and maintain effective relationships with preferred service providers, equipment suppliers and contractors. Job Conditions This position will require frequent travel, up to 60% of the time. Visits to yards in each region can be expected to be under all weather conditions. Physical hazards may be present due to the equipment and machinery used throughout the recycling facility and the presence of the scrap itself. This position may require work beyond normally scheduled hours at times to support operations. Qualifications Bachelor's degree in an Engineering Field and 5 years of process engineering and project management experience; or equivalent combination of education, job experience and knowledge. Previous experience in the scrap metals recycling industry or an adjacent heavy industry (e.g., mining, gas & oil, municipal waste recycling, heavy fabrication & processing) is desirable. Experience leading and implementing continuous improvement / optimization projects. In addition, a keen drive for safety at work and understanding of environmental permitting processes. This position requires possession of a valid driver's license and the ability to drive an automobile. Ideal Competencies Ability to apply logical principles to solve practical problems and deal with many variables and determine a specific course of action. Ability to analyze data, to develop effective strategies from such analysis, and to translate these strategies into effective actions at the operational level. Accountability Integrity Customer Focus Use of functional expertise Teamwork Physical Requirements And Work Environment Able to: travel domestically and internationally, sit, stand, or walk for up to 6-8 hours per day; bend, crouch; climb, balance, push/pull, lift or carry up to 50 pounds. Able to write by hand and keyboard for extended periods of time. Communication is primarily by phone, email and in person, with other departments within the Radius Group. Visual acuity is needed for close detail work, preparing and analyzing data figures, accounting, and computer use.

The Principal Artificial Intelligence & Machine Learning Engineer I/Scientist I works within the Artificial Intelligence Operations and Data Science Services group (AIOS) in the Informatics & Analytics department of Dana‑Farber Cancer Institute - a teaching affiliate of Harvard Medical School. The Principal Artificial Intelligence & Machine Learning Engineer I/Scientist I works in a team environment on both short‑term priorities identified by our top clinicians, as well as on long‑term institutional efforts that aim at revolutionizing the way the Institute conducts basic cancer research and provides best‑in‑class clinical oncology to our patients. AIOS is part of the department serving some of the most prominent research and clinical programs at the Institute, from basic to translational research, to clinical deployment, and operationalization. The AIOS group encompasses expertise in AI, data science, machine learning, computer vision, NLP, production deployment, cloud infrastructure, data engineering, project management standards, and data labeling. Dana‑Farber Cancer Institute (DFCI) provides expert, compassionate, and equitable care to children, adults, and their families, while advancing the understanding, diagnosis, treatment, cure, and prevention of cancer and related diseases. DFCI trains new generations of clinicians and scientists, disseminate innovative patient therapies and scientific discoveries around the world, and reduce the impact of cancer, while maintaining a focus on those communities who have been historically marginalized. Located in Boston and the surrounding communities, Dana‑Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high‑risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School‑affiliated hospitals. Meeting and consulting with physician scientists requiring machine learning & AI support and designing plans and solutions, participating in their research activities, as well as supporting them in the grant writing, and leading research efforts when required. Interpreting complex machine learning & AI information. Summarizing and presenting results to senior leadership. Monitoring new developments in the field and has vision for staying at the cutting edge. Recognizing and reporting problems with the machine learning & AI process and identifying solutions. Minimum Education: Master's degree required; PhD preferred. Minimum Experience: 8 years of relevant experience required with Master's degree or 7 years of relevant experience required with PhD. Deep machine learning & AI skills, at the interface with computer science. Python experience is required; R experience is a plus. Experience within a clinical or research environment preferred. Experience managing at least one person is preferred. KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED: Strong team player with the ability to leverage the many excellent groups and resources at DFCI and Harvard more broadly and build collaborative strategies. Ability to communicate and solve problems effectively, track record in serving a variety of diverse customers and projects and of leading teams. Ability to work independently, prioritize, and manage people if needed, within an environment with rapidly changing priorities. Experience to teach three or more of the following: Natural language processing or Computer vision technologies, Transformers, Adversarial / Generative models, JAX + Flex / Haiku, Vision Transformers, Federated learning, AutoML, Self‑supervised learning, Causal ML, Reinforcement learning, Infrastructure as Code, DataOps (versioning, lineage, and governance), AIOps & MLOps life cycle (from deployment to monitoring to retirement), explainable AI, batch/online/streaming/edge training/inference, fully reproducible and auditable ML practices, CI/CD for large language models and large vision models, Multi‑Cloud & Hybrid data platforms, productized Docker/Spark/Kubernetes solutions such as Databricks and Snowflake, High‑throughput big data processing under redundancy / low‑latency requirements. Pay Transparency Statement The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate's relevant experience, skills and qualifications. For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA) $154,000 - $184,500 At Dana‑Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are committed to having faculty and staff that offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply. Dana‑Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law. EEOC Poster #J-18808-Ljbffr