The Dow Chemical Company

Machine Learning Engineer

The Dow Chemical Company$110K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree or 8 years relevant experience required
  • Minimum of 3 years experience in machine learning or data science
  • Ability to work legally in the U.S. without sponsorship required

Responsibilities

  • Design and implement pipelines for AI/ML solutions
  • Deploy and monitor ML models using Databricks tools
  • Collaborate with cross-functional teams on MLOps
  • Ensure seamless integrations with application development teams
  • Utilize various ML frameworks and distributed systems
  • Conduct data analysis, feature engineering, and model evaluation
  • Research and implement new machine learning techniques

Benefits

  • Market-competitive base pay and bonus opportunities
  • Health, mental, financial, and social well-being programs
  • Student Debt Retirement Savings Match Program
  • Robust medical and life insurance coverage
  • Opportunities for training, mentoring, and community involvement
  • Role-based flexibility for personal productivity
  • Paid time off for new parents and family care
  • On-site fitness facilities and employee discounts
Full Job Description
About you and 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.

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.

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.


Qualifications
  • 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 qualifications
  • 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


Additional notes
  • 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


Benefits - What Dow offers you

We invest in you.

Dow invests in total rewards programs to help you manage all aspects of you: your pay, your health, your life, your future, and your career. You bring your background, talent, and perspective to work every day. Dow rewards that commitment by investing in your total wellbeing.

Here are just a few highlights of what you would be offered as a Dow employee:
  • Equitable and market-competitive base pay and bonus opportunity across our global markets, along with locally relevant incentives.
  • Benefits and programs to support your physical, mental, financial, and social well-being, to help you get the care you need...when you need it.
  • Competitive retirement program that may include company-provided benefits, savings opportunities, financial planning, and educational resources to help you achieve your long term financial-goals.
    • Employee stock purchase programs (availability varies depending on location).
  • Student Debt Retirement Savings Match Program (U.S. only).
    • Dow will take the value of monthly student debt payments and apply them as if they are contributions to the Employees' Savings Plan (401(k)), helping employees reach the Company match.
  • Robust medical and life insurance packages that offer a variety of coverage options to meet your individual needs. Travel insurance is also available in certain countries/locations.
  • Opportunities to learn and grow through training and mentoring, work experiences, community involvement and team building.
  • Workplace culture empowering role-based flexibility to maximize personal productivity and balance personal needs.
  • Competitive yearly vacation allowance.
  • Paid time off for new parents (birthing and non-birthing, including adoptive and foster parents).
  • Paid time off to care for family members who are sick or injured.
  • Paid time off to support volunteering and Employee Resource Group's (ERG) participation.
  • Wellbeing Portal for all Dow employees, our one-stop shop to promote wellbeing, empowering employees to take ownership of their entire wellbeing journey.
  • On-site fitness facilities to help stay healthy and active (availability varies depending on location).
  • Employee discounts for online shopping, cinema tickets, gym memberships and more.
  • Additionally, some of our locations might offer:
    • Transportation allowance (availability varies depending on location)
    • Meal subsidiaries/vouchers (availability varies depending on location)
    • Carbon-neutral transportation incentives e.g. bike to work (availability varies depending on location)


Join our team, we can make a difference together.

About The Dow Chemical Company

Through partnerships and collaboration, their solutions help extend the shelf life of food, bring color to buildings, and pave safer roads. Read on to learn how.

The Dow Chemical Company Careers

Join the vibrant team at The Dow Chemical Company, a leader in science and technology, where your career can flourish in an environment rich with opportunity and innovation. As part of our global workforce, you will contribute to solutions that shape the future of the planet in significant ways.

Work You’ll Do

At The Dow Chemical Company, you will engage in work that matters. From developing sustainable materials to pioneering new technologies, your role will help transform industries and improve everyday life around the world. Our commitment to leadership in sustainability means that when you work here, your impact extends far beyond the office.

Innovate and Lead

Become part of a team where innovation and leadership go hand in hand. The Dow Chemical Company fosters a culture of innovation where you can bring your ideas to life. With a diverse and inclusive workplace, we combine different perspectives to drive cutting-edge solutions. Our leadership is committed to supporting your growth through professional development and diversity training.

Career Growth and Opportunities

Whether you're starting your career or looking to advance, The Dow Chemical Company offers a range of job opportunities and career paths in various fields. From internships that provide real-world experience to full-time positions that challenge and expand your skills, there's a place for you here. Our commitment to professional growth ensures that your career journey is always moving forward.

Join Our Team

Explore job opportunities at The Dow Chemical Company and become part of a team known for its exceptional culture, commitment to employee benefits, and a dynamic work environment. We are hiring creative, curious, and motivated individuals who are ready to drive innovation and lead industries towards a sustainable future.

Networking and Professional Development

At The Dow Chemical Company, networking and professional development are part of our DNA. Connect with leaders and peers through our various networking events, mentorship programs, and collaborative projects. Enhance your skills, build your resume, and prepare for future leadership roles within the company.

Internship Programs

Kickstart your career with an internship at The Dow Chemical Company. Our internships offer hands-on experience in real projects that contribute to our mission of innovation. You’ll gain invaluable insights, enhance your skills, and be part of a team that values your fresh ideas and energy.

Benefits and Culture

We pride ourselves on offering competitive benefits that support the health, well-being, and financial security of our employees and their families. At The Dow Chemical Company, you’ll find a culture that values respect, integrity, and collaboration. Enjoy the benefits of working in a supportive and inclusive environment where you can thrive both professionally and personally.

Stay Connected

Join our community to stay up-to-date with the latest in career opportunities, company news, and industry insights. Follow us on our careers page and social media to learn more about life at The Dow Chemical Company and how you can make a difference.

Apply Now

Ready to take the next step in your career? Search open positions that match your skills and interests. We are looking for passionate, driven, and innovative team players. Explore our job listings and find the perfect position that aligns with your career goals at The Dow Chemical Company.

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Keep up to date with career tips, insider perspectives, and industry-leading insights you can put to use today—all from the people who work here. Join us in our mission to innovate for a sustainable future.
Learn more about The Dow Chemical Company
Size
35,700 employees
Market Cap
$35.5 billion
Industry
Net Income
$1.2 billion
5 Year Trend
+2.7%
Revenue
$38.5 billion
NASDAQ

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