Senior Machine Learning Engineer Energy

Energy Managements Analytics & Data Science team works to accelerate the transition toward a carbon-free future through software and analytics. We are looking for a Senior Machine Learning Engineer to help us accomplish this mission.

Working with the Analytics & Data Science team in DNV Energy Managements Technology group is more than just a job; its an opportunity to be part of a collaborative community where you can learn grow and thrive. Join a dynamic and diverse technology team that values innovation impact and sustainability. Help us bridge the gap between advanced analytics systems and user-facing web applications that support demand side management demand flexibility and transportation electrification programs!

This role is based at our DNV office in Medford MA; Chalfont PA; New York NY; Rochester NY; Troy NY; San Diego CA; Oakland CA; Vegas NV; and Phoenix AZ offices presenting a dynamic hybrid schedule where employees will typically spend three (3) days per week working from either aDNV office. Further details regarding role-specific requirements will be shared during the interview process. Other DNV offices may also be considered.

What Youll Do:

• As a Senior Machine Learning Engineer Energy Systems you will build and deploy scalable machine learning solutions that support utilities renewable developers grid operators and clean energy programs.
• You will partner with data scientists data engineers analytics engineers and software developers from the US and internationally to take models from experimentation to production ensuring they are performant reliable and impactful in the energy domain. This position will coordinate and collaborate across multiple time zones.
• Your work will directly enable data-driven decisions that improve grid reliability increase energy efficiency accelerate decarbonization and support the clean energy transition.
• Applications must clearly demonstrate relevant hands-on experience in both ML engineering.
• Direct experience working with energy systems utilities grid operations renewable energy energy efficiency programs or energy-market data is strongly preferred.

• Generous paid time off (vacation sick days company holidays personal days)
• Multiple Medical and Dental benefit plans to choose from Vision benefits
• Spending accounts FSA Dependent Care Commuter Benefits company-seeded HSA
• Employer-paid therapist-led virtual care services through Talkspace
• 401(k) with company match
• Company provided life insurance short-term and long-term disability benefits
• Education reimbursement program
• Flexible work schedule with hybrid opportunities
• Charitable Matched Giving and Volunteer Rewards through our Impact Program
• Volunteer time off (VTO) paid by the company
• Career advancement opportunities

**Benefits vary based on position tenure location and employee election**

For California Washington New York Washington D.C. Illinois and Maryland: DNV provides a reasonable range of compensation for this role. The actual compensation is influenced by a wide array of factors including but not limited to skill set level of experience and specific location. For the states of California Washington New York Washington D.C. Illinois and Maryland only the starting pay range for this role is $145000 - $155000.

DNV is a proud equal opportunity employer committed to building an inclusive and diverse workforce. All employment is decided on the basis of qualifications merit or business need without regard to race color religion age sex sexual orientation gender identity national origin disability or protected veteran status. DNV is committed to ensuring equal employment opportunity including providing reasonable accommodations to individuals with a applicants with a physical or mental disability who require a reasonable accommodation for any part of the application or hiring process may contact the North America Recruitment Department (). Information received relating to accommodation will be addressed confidentially.

For more information:

is Required

• Bachelors degree in Computer Science Machine Learning Data Science or related field (or equivalent experience)

• Minimum 5 years of hands-on experience building and deploying machine learning models in production
  Demonstrated Azure cloud experience including one or more of the following:

  • Azure Machine Learning
  • Azure Databricks or Spark
  • Azure DevOps (CI/CD)
  • Azure Containers

  Strong proficiency in:

  • Python (scikit-learn pandas numpy MLflow etc.)
  • PySpark (Databricks)
  • ML Ops tooling and model deployment frameworks
  • SQL
• Experience working collaboratively with cross-functional engineering and analytics teams
• Ability to manage multiple concurrent projects
• Excellent written and verbal communication skills in English.
• We conduct pre-employment drug and background screening.

What is Preferred

• Experience supporting ML solutions in the energy industry including utilities grid operations renewables demand-side programs or energy market
• Experience with time-series models anomaly detection clustering or forecasting
• Understanding of interpretability fairness model governance and responsible AI