Senior Software Engineer, ML Ops

You will architect and build infrastructure and automation, in AWS and on-premises, to support ML application development and deployment

You will drive system design and lead architectural discussions for our MLOps suite, ensuring it meets performance, security, and compliance requirements.

You will lead technical initiatives by researching, evaluating, and implementing new MLOps tools, frameworks, and best practices.

You will collaborate with machine learning engineers, data scientists, product engineering, and infrastructure teams to bridge the gap between research and production.

You will optimize ML workflows, ensuring models are efficiently and reproducibly deployed & monitored.

You will champion engineering excellence by enforcing high coding standards, conducting design reviews, and mentoring junior engineers.

You will automate ML operations, including CI/CD for ML models, feature engineering pipelines, and deployment strategies using Kubernetes, Airflow, and other orchestration tools.

You have a BS or Master’s in Computer Science, Computer Engineering, Software Engineering or closely related field.

You have 5+ years of software engineering experience , with a focus on building production-grade frameworks or applications

You have strong software engineering skills in complex, multi-language systems and experience with scalable backend architecture.

You have experience with Kubernetes and cloud computing platforms (AWS preferred).

You have experience with observability and monitoring tools (e.g., Prometheus, Grafana, Datadog).

You have a solid understanding of DevOps principles and infrastructure-as-code (Helm, Terraform).

You have experience owning development platforms and serving internal customers

You have a solid level of proficiency in Python + exposure to additional languages

You have experience with ML frameworks like PyTorch or Scikit-learn.

You have experience with data workflow orchestration frameworks (e.g., Airflow, Kubeflow).

You have expertise in MLOps principles , including model lifecycle management, feature stores, model monitoring, and CI/CD for ML.

You have experience with streaming data processing (Kafka, Flink, or Spark Streaming).

You have a solid level of familiarity with security and compliance best practices in ML systems.

You have experience using AI assistants (e.g. CoPilot, Cursor) in development.

You have outstanding interpersonal, verbal, and written communication and influencing skills: have built and cultivated important relationships both inside and outside of the organization and externally; have proven abilities to influence internal partners and stakeholders, thought leaders, national advocacy organizations, national standard-setting bodies, and other relevant external parties.

You have strong analytical and critical thinking skills with attention to detail; you have the ability to manage multiple projects and drive results in a fast-paced environment; you have a collaborative mindset with demonstrated leadership capabilities.

This is a hybrid position based in Boston, MA. (A remote option may be considered for an exceptional candidate.) Relocation benefits are not available for this position.

The expected salary range for this position based on the primary location Boston, MA is $127,500 - $195,500. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law.

PathAI is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.