Senior ML Ops Engineer

November 20

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

💵 $153k - $215k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

Apply Now

Receive Emails with Similar Jobs

Greenhouse Software

WebsiteLinkedInAll Job Openings

SaaS • HR Tech • Enterprise

Greenhouse Software is a leading provider of hiring software solutions designed for people-first companies. The company offers a comprehensive recruitment and onboarding platform that enhances every aspect of the hiring process. Greenhouse Software focuses on structured hiring and diversity, equality, and inclusion, helping organizations improve their recruitment outcomes and create better experiences for candidates. Their tools are aimed at optimizing the efficiency and effectiveness of hiring teams, reducing biases, and leveraging automation to accelerate talent acquisition. Greenhouse Software partners with other technology providers to offer integrations and additional functionalities, making it a versatile choice for both small and large enterprises worldwide.

501 - 1000 employees

Founded 2012

☁️ SaaS

👥 HR Tech

🏢 Enterprise

📋 Description

• Operationalize ML and LLM-based workloads, gather stakeholder feedback, and drive them into production-ready systems • Create, manage, and improve continuous integration and delivery pipelines to support rapid iteration and deployment of ML models and services • Implement observability practices for ML systems, including monitoring, logging, and alerting • Maintain and improve the infrastructure for ML/LLM evaluation sets, including versioning, automated validation pipelines, and continuous quality checks across the model lifecycle • Ensure high data quality and monitor performance of ML workloads in production • Work closely with ML engineers, data scientists, and cross-functional teams to build impactful solutions • Participate in an on-call rotation to ensure system uptime and reliability • Additional projects and responsibilities as business needs require

🎯 Requirements

• Proven experience in an MLOps, DevOps, or a related software engineering field • Experience implementing safe, ethical, and compliant ML systems (familiarity with ISO 42001/NIST AI RMF and the associated common controls) • Strong cloud infrastructure experience with AWS • A deep understanding of Kubernetes • Expertise with IaC (Infrastructure as Code) & GitOps Tools like Terraform and Argo CD • Experience developing and augmenting CI/CD Pipelines • A strong understanding of the state of the art in machine learning, especially LLMs • Familiarity with ML frameworks such as PyTorch, MLFlow, vLLM, Transformers, and Torch • Practical experience managing data quality and performance in production ML environments • Experience designing data architectures optimized for AI/ML, such as with Opensearch (vector databases) • Familiarity with tools and platforms like Bedrock/Sagemaker, MetaFlow, Databricks, Vertex AI, Skypilot, Kubeflow, Loki, or Grafana is a plus • Your own unique talents! If you don't meet 100% of the qualifications outlined above, tell us why you'd be a great fit for this role in your cover letter

🏖️ Benefits

• medical, dental, and vision insurance • basic life insurance • mental health resources • financial wellness benefits • a fully paid parental leave program • short-term and long-term disability coverage • 401(k) plan and company match • up to 14 scheduled paid holidays • up to 80 hours of paid sick leave • up to 20-25 days of paid vacation time annually depending on tenure • flexible paid time off (PTO)