Full Time

About MSA MSA specializes in the sustainable development of communities and is proud to be 100% employee owned. With roots reaching back to 1919, MSA has grown from a rural land survey company into a multidisciplinary network of nearly 550 engineers, architects, planners, funding experts, surveyors, GIS experts, environmental scientists, and more who are committed to making communities better places to live, work, and play. Come join the ownership team here! About the Role MSA continues to expand as leaders in the Water/Wastewater space, and we are looking for another Senior Project Engineer to support our exciting growth! This position can be based out of any of our Midwest office locations (WI, MN, IA, IL), and will primarily support municipal projects in the public sector. As a Project Engineer, you will serve as a client liaison, mentor staff, and play a key role in the successful execution of projects. MSA supports Water/Wastewater projects through planning, design, construction, and operations. Responsibilities Project project planning, scoping, budgeting and QA/QC Client relationship development Assist with mentoring emerging engineering staff Oversight of plans, details, specifications, and bidding documents Assistant with project funding packages with assistance from funding staff Provide project updates at public forums Requirements Bachelor’s degree in Environmental or Civil Engineering required Professional Engineering (PE) required 8+ years of prior experience with Water/Wastewater projects required This position requires you to have authorization to work in the United States for any employer. We will not provide sponsorship for this position Pay and Benefits: Compensation Range: $88,871–$142,192 (commensurate with experience) Flex Time: Work 42 hours this week? Have 2 hours added to your Flex Time balance to use as time off in the future ESOP: Receive MSA stock shares annually, at no cost to the employee Medical, dental & vision insurance for you, spouse, domestic partner, and eligible dependents 17+ days PTO (potentially higher pending experience) + 8 paid holidays Paid parental leave regardless of birth parent 401(k) plan with company matching Short‑term incentive program for annual bonus opportunities Company‑paid life & disability insurance Full eligibility requirements for listed benefits will be discussed during the hiring process Apply here: Senior Project Engineer – MSA

About Dow At Dow, we believe in putting people first and we’re passionate about delivering integrity, respect and safety to our customers, our employees and the planet. Our people are at the heart of our solutions. They reflect the communities we live in and the world where we do business. Their diversity is our strength. We’re a community of relentless problem solvers that offers the daily opportunity to contribute with your perspective, transform industries and shape the future. Our purpose is simple – to deliver a sustainable future for the world through science and collaboration. If you’re looking for a challenge and meaningful role, you’re in the right place. About this role Dow has an exciting and challenging opportunity for a Machine Learning Engineer within our Enterprise Data & Analytics organization located in Houston, TX; Midland, MI; or Champaign, IL (Dow Delivery Center at UIUC). (Please note the posting indicates other locations, but the site location is in CHAMPAIGN, IL.) As a Machine Learning Engineer in our Data & Analytics Platforms team specializing in data and analytics solutions, you will work with a cross-functional team whose objective is to deliver solutions that drive business value for Dow. In this role, you will work closely with data engineers, data scientists, domain experts, and software engineers to design, develop, and deploy machine learning systems, including training and inference pipelines on the Azure Databricks platform. You will also help drive a culture around setting standards and adopting best practices for machine learning and MLOps across the organization. This position does not offer relocation assistance​ This position does not have people leadership responsibility. This position is an Independent Contributor; however, you may act as coach and mentor to junior resources Requirements A minimum of a Bachelor’s degree, or 8 years relevant experience, or relevant military experience at an E6 rank/Petty Officer 2nd Class or higher is required A minimum of 3 years of experience developing solutions in machine learning, data science, or related field A minimum requirement for this U.S. based position is the ability to work legally in the United States. No visa sponsorship/support is available for this position, including for any type of U.S. permanent residency (green card) process Preferred A degree in computer science, engineering, mathematics, statistics, data science or related field Proficient in Python and one or more machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, etc Experience in developing and deploying machine learning models and pipelines on the Databricks platform using Databricks MLflow, Delta Lake, SQL Analytics, Model Registry, Jobs, and Workspace Strong knowledge of machine learning concepts, techniques, and algorithms Ability to perform data analysis, feature engineering, model selection, optimization, and evaluation using Databricks Ability to communicate complex machine learning concepts and results to technical and non-technical audiences using Databricks notebooks and dashboards Ability to work independently and collaboratively in a fast-paced and dynamic environment Curiosity and passion for learning new machine learning skills and technologies using Databricks Strong knowledge of data modeling, data warehousing, and ETL processes Experience designing and deploying into production both traditional and generative AI systems Proficiency in SQL and experience with big data technologies such as Apache Spark and Hive Experience working within Azure Machine Learning Experience containerizing and deploying ML models to Azure Kubernetes Service Experience with Azure Data Factory, Azure Data Lake Storage Gen2, and other Azure services Multi-application and cross-platform design experience Understanding of data lakehouse platform design and associated workflows Ability to thrive in challenging situations and solve complex problems Ability to manage own work effort in multiple projects with little supervision Interested in emerging technologies with the ability to quickly learn and exploit cutting edge offerings to achieve business objectives Responsibilities Designs and implements pipelines and other workflow infrastructure to meet the requirements for new AI/ML solutions that involve online, batch, or real-time inference Deploys and monitors machine learning models in production using Databricks Model Registry, Jobs, and Workspace Frequently collaborates with data engineers, DevOps/platform engineers, data scientists, and domain experts as part of a comprehensive MLOps framework to ensure AI/ML solutions are performant, reliable, and maintainable Works frequently with application development teams to ensure seamless integrations Works proficiently with various ML frameworks, such as scikit-learn, TensorFlow, PyTorch, Keras, as well as distributed frameworks like Spark MLlib and Ray Performs data analysis, feature engineering, model selection, hyperparameter optimization, and model evaluation using Databricks MLFlow, Delta Lake, and SQL Analytics and other tools as part of the end-to-end ML lifecycle Researches and implements new machine learning techniques and methods using Databricks, staying abreast of the latest trends and technologies Documents and communicates machine learning results and insights to stakeholders using Databricks notebooks and dashboards Understands IT security policies and implements them as part of new solution designs Follows and promotes the best practices and standards for machine learning and MLOps across the organization using Databricks and Azure DevOps Your skills: Solutions Delivery: End-to-end ownership of Azure data solutions—translating ambiguous business needs into robust architectural blueprints, then delivering through design, build, test, deployment, and post‑launch monitoring with a focus on reliability, performance, and cost efficiency. Cloud Computing: Designing and operating cloud‑native architectures on Azure (e.g., Databricks Lakehouse, ADF/Workflows, Functions, Logic Apps, Azure SQL) with CI/CD and IaC to scale securely and economically for ML, BI, streaming, and web applications. Integration Services: Building secure, high‑throughput integrations—REST APIs and event/stream pipelines (e.g., Event Hubs/Kafka)—to connect polyglot data stores (SQL Server, Cosmos DB, Neo4j) and enable real‑time and batch data products. Security Awareness: Embedding governance, identity, and compliance into the architecture (OAuth/RBAC, data governance, re‑authorization/ownership verification), enforcing code reviews and automated controls across pipelines and deployments. Strategic Planning: Aligning platform roadmaps and technology choices with enterprise strategy, mentoring engineers on best practices, defining standards and KPIs, and prioritizing modernization and cost‑optimization initiatives that maximize business impact. Please use this link to apply: Machine Learning Engineer – Dow

About ADM ADM unlocks the power of nature to enrich the quality of life. As an essential global agricultural supply chain manager and processor, a premier nutrition provider, a trailblazer in health and wellbeing, and a leader in business-driven sustainability that supports agriculture, resilient supply chains, and the growing bioeconomy, we meet critical needs from harvest to home. About the role The Structural Engineer will perform assignments designed to develop professional engineering work knowledge and abilities, requiring application of standard techniques and procedures. This role will report to the Structural Engineering department manager. Limited exercise of judgement is required on details of work and in making preliminary sections and adaptations of engineering alternatives. Work is routine and instructions are usually detailed. This is a full-time position reporting into ADM’s Decatur, IL or Champaign, IL locations. This is not a remote opportunity as the individual must report to the site for work. Work visa sponsorship is not available for this role. Requirements Education: BS degree in Structural Engineering, Civil Engineering with a structural emphasis, or Architecture with structural emphasis. Experience: 0-3 years Relocation: Willingness to work in Champaign, IL or Decatur, IL GPA: Minimum graduating GPA of 2.8 (3.0 GPA preferred) for newer graduates This position relates to those that desire “hands-on” experience in a production setting Ability to move throughout the facility, including climbing stairs, ladders in all buildings, and to work at heights Work is performed indoors and out-of-doors year round, occasionally in environments that are dusty, noisy, or which could have work hazards Responsibilities Design and analysis of heavy, multi-story Industrial Buildings (Structural Steel) Equipment and building foundation analysis and design Pipe bridge design Equipment support design Development of structural connection details (varies from typical to complex details) New buildings and retrofit of buildings and or structures Structural inspections and repairs (concrete & steel) Pile and drilled shaft design Storage tank design Corrosion investigation Compensation and Benefits The pay range for this position is expected to be between: $70,100.00 – $105,600.00 Enriching the quality of life for the world begins by taking care of our colleagues. In addition to competitive pay, we support your diverse needs with a comprehensive total rewards package to enhance your well-being, including: Physical wellness – medical/Rx, dental, vision and on-site wellness center access or gym reimbursement (as applicable). Financial wellness – flexible spending accounts, health savings account, 401(k) with matching contributions and cash balance plan, discounted employee stock purchasing program, life insurance, disability, workers’ compensation, legal assistance, identity theft protection. Mental and social wellness – Employee Assistance Program (EAP), Employee Resource Groups (ERGs) and Colleague Giving Programs (ADM Cares). Additional benefits include: Paid time off including paid holidays. Adoption assistance and paid maternity and parental leave. Tuition assistance. Company-sponsored training and development resources, such as LinkedIn Learning, language training and mentoring programs. Please visit https://sjobs.brassring.com/TGnewUI/Search/Home/Home?partnerid=25416&siteid=5998#jobDetails=3341243_5998 to apply.

About Philowave Philowave is a fast-growing hardware tech company specializing in advanced spectrum sensing and adaptive wireless devices. We design physics-based architectures that achieve multi-octave wideband performance and sub-microsecond response times at ultra-low power. We believe in building—not just simulating. Our team works out of dedicated, on-site laboratories equipped with state-of-the-art hardware test and measurement equipment. Join us as we bridge the gap between complex electromagnetic physics and edge-deployed hardware engineering. About the role This is a full-time, in-person position that is available immediately. Please do not apply if you cannot satisfy these requirements. Are you a talented Hardware Engineer passionate about pushing the boundaries of spectrum sensing technology? Join Philowave, a well-funded startup, and contribute to developing advanced, high-performing solutions that outperform the state-of-the-art by orders of magnitude, all while being more cost-effective. Our highly qualified team brings diverse backgrounds and a collaborative spirit. Responsibilities include This full-stack hardware design role will have you involved in every stage, from concept to implementation: FPGA development, simulations, and testing  Full-stack hardware design of board-level systems: This includes initial investigations, detailed simulations, schematic capture, and precise PCB layout. Build test platforms: Develop and maintain the necessary infrastructure for rigorous testing. Collaborate: Work closely with our internal team and external partners to achieve project goals. Qualifications Education & Experience: BSc. or MSc in Electrical Engineering or a related field Technical Skills: Full-stack development in FPGA platforms Solid knowledge of PCB development. Knowledge in “Edge AI in FPGAs” is highly desirable Proficiency in scripting with Python and MATLAB. Compensation and Benefits We value our team members and offer a competitive package: Base Salary: $70,000 – $140,000 Equity Packages Health Benefits 401k Location: This is an in-person position based in Champaign, IL. Keywords: Hardware engineering, FPGA, RF, microwave, millimeter wave Please send resumes here: info@philowave.tech  Philowave is an Equal Opportunity Employer. All applicants will receive consideration for employment without regard to any protected characteristics.