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PitchBook Logo

Sr. Software Development Engineer, Machine Learning Operations

PitchBook

$180,000 - $230,000
Jun 16, 2025
Seattle, WA, US
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The company is looking to optimize the Machine Learning Development Life Cycle (MLDLC) by providing tools that remove roadblocks and improve ideation and innovation.

Requirements

  • 5+ years of experience in hands-on development of Machine Learning algorithms
  • 5+ years of experience in hands-on deployment of Machine Learning services
  • 5+ years of experience supporting the entire MLDLC, including post-deployment operations such as monitoring and maintenance
  • 5+ years of experience with Amazon Web Services (AWS) and/or Google Cloud Platform (GCP)
  • Experience with at least 80%: PyTorch, Tensorflow, LangChain, scikit-learn, Redis, Elasticsearch, Amazon SageMaker, Google Vertex AI, Weights & Biases, FastAPI, Prometheus, Grafana, Apache Kafka, Apache Airflow, MLflow, KubeFlow
  • Proficiency in GitOps and creation/management of CI/CD pipelines
  • Demonstrated experience building and using SQL/NoSQL databases

Responsibilities

  • Serve as a force multiplier for development teams by creating golden paths that remove roadblocks and improve ideation and innovation
  • Design and deliver on projects end-to-end with little to no guidance
  • Provide support to teams building and deploying AI applications by addressing common painpoints in the MLDLC
  • Evaluate frameworks, vendors, and tools that can be used to optimize processes and costs with minimal guidance
  • Contribute to strategic planning in a way that ensures the team is building exceptional products that bring real business value
  • Participate in various company initiatives and projects as requested
  • Collaborate with other engineers, product managers, and internal stakeholders in an Agile environment

Other

  • Degree in Computer Science, Information Systems, Machine Learning, or a similar field preferred
  • Ability to break large and complex problems into well-defined steps, ensuring iterative development and continuous improvement
  • Excellent problem-solving skills with a focus on innovation, efficiency, and scalability in a global context
  • Strong communication and collaboration skills, with the ability to engage effectively with internal customers across various cultures and regions
  • Ability to be a team player who can also work independently
  • Experience working across multiple development teams is a plus
  • Must work in the office 3+ days/week, and some are expected to work in the office 4-5 days/week