MLOps Engineer

Seattle, Washington San Francisco, California Chicago, Illinois St. Louis, Missouri


Position Overview 

Climate, LLC is revolutionizing the agriculture industry with a platform and products that are helping the world’s farmers sustainably increase productivity with digital tools. We are leveraging Machine Learning and Big Data to build meaningful products that allow farmers to produce enough food to help feed a growing population.   

We are looking for an MLOps Engineer to join our production deployment team. We work with research scientists who are developing and prototyping ideas to get their models into our Field View platform. The team is highly collaborative and partners with data scientists, engineers, and product managers. We’re looking for someone with experience developing and maintaining Machine Learning Ops pipelines who can help us do the same while building tools to automate the path to productions. The ideal candidate is someone who has an interest in machine learning and would like to transition to the scaling, evaluation, and development of machine learning models, in the long-term.  

What You Will Do: 

  • Collaborate with data engineers, data scientists, and product teams to guide the translation of R&D prototypes into stable, testable, and maintainable production services 
  • Develop and deploy tools and services for our team to accelerate the production lifecycle and assessment of production readiness  
  • Help lead team members in executing continuous integration and continuous delivery (CI/CD) activities to release code into a Production environment 
  • Act as a consultant within the Science Organization on software engineering principles, code quality, and performance optimization techniques 
  • Apply software engineering rigor and best practices to machine learning, including CI/CD and automation 
  • Build model performance monitoring capabilities and data monitoring tools 

Basic Qualifications 

  • MS Computer Science, Engineering, Technology, Mathematics, Statistics, or related field with 3+ years of industry experience or BS + 5 years' experience 
  • Hands on coding experience with Python building end-to-end systems as an MLOps Engineer, Machine Learning Engineer, Software Engineer, or equivalent 
  • Experience in ML model development, orchestration, deployment, monitoring, support and creating and maintaining deployment pipelines with CI/CD tools 
  • Experience with cloud computing platforms like AWS, GCP, or other cloud providers developing with containers (e.g., Docker, Kubernetes) in cloud computing environments 

Preferred Qualifications 

  • Exposure to deep learning approaches and modeling frameworks (Py Torch, TensorFlow, Keras, etc.) 
  • Familiarity with MLflow or similar platforms like Kubeflow or SageMaker 
  • Experience building and evaluating machine learning models 
  • Strong understanding of software testing, benchmarking, and continuous integration 
  • Experience mentoring and teaching software development best practices to data scientists 
  • Ability to translate complex technical concepts to collaborations, decision makers, and non-technical audiences 

What We Offer:   

Our teams are composed of industry experts, top scientists, and talented engineers. The environment is extremely engaging and fast-paced, with dozens of specialties coming together to provide the best possible products and experiences for our customers. 

We provide competitive salaries and some of the best perks in the industry, including: 

  • Superb medical, dental, vision, life, disability benefits, and a 401k matching program 
  • Encouragement to get out of the office and into the field with agents and farmers to see first-hand how our products are being used 
  • We take part and offer various workshops, conferences, meet-up groups, tech-talks, and hackathons to encourage participation and growth in both community involvement and career development 

We also hinge our cultural DNA on these five values: 

  • Inspire one another 
  • Innovate in all we do 
  • Leave a mark on the world 
  • Find the possible in the impossible 
  • Be direct and transparent 

Employees can expect to be paid a salary between $119,573 to $197,407. Additional compensation may include a bonus or commission (if relevant). This salary salary range is merely an estimate and may vary based on an applicant’s location, market data/ranges, an applicant’s skills and prior relevant experience, certain degrees and certifications, and other relevant factors.

Learn more about our team and our mission:
Climate LLC - The Technology Behind Making A Difference  or visit  

Climate aims to create a welcoming and collaborative environment for our employees in which a diverse set of perspectives and voices are represented and celebrated.  

As part of our dedication to the diversity of our workforce, Climate, LLC is committed to Equal Employment Opportunity and does not discriminate based on race, religion, color, national origin, ethnicity, gender, sex (including pregnancy), protected veteran status, age, disability, sexual orientation, gender identity, gender expression, or any unlawful criterion existing under applicable federal, state, or local laws. If you need assistance or an accommodation due to a disability, you may contact us at [email protected].