Staff Software Engineer

Summary

Join EvolutionIQ, a company dedicated to improving the lives of injured and disabled workers, as a Staff Software Engineer - ML Platform. Lead the architecture, deployment, and scaling of our machine learning (ML) and artificial intelligence (AI) infrastructure. Collaborate with machine learning engineers and senior leadership to streamline experimentation, improve model observability, and enhance overall system performance. Set MLOps standards across the organization and design, build, and launch scalable ML and data processing systems. Automate model lifecycle management and implement monitoring systems. Research and implement the latest MLOps tools and share knowledge through training sessions. Support the next phase of ML pipeline development to handle increased data volume.

Requirements

• 8+ years of software development experience with a focus on platform development with AI/ML applications of scale
• Experience in providing technical leadership to ML Infra / ML Platform teams
• Experience in shipping products at scale
• Expertise in clean and efficient coding with a focus on Python
• Experience with orchestration frameworks such as Dagster/Airflow
• Expertise in one or more Cloud platforms (GCP preferred but not required)
• Bachelor’s Degree or higher in Computer Science, Mathematics, or related field
• Excellent document writing skills (additional to presenting results through Jupyter notebooks)
• Extreme creativity and resourcefulness, appetite to solve previously unsolved problems

Responsibilities

• Design, build, and launch scalable ML and data processing systems supporting multi-machine data processing (e.g., MapReduce), GPU/TPU model training, and automated model monitoring systems on cloud platforms
• Automate model lifecycle management, including training, evaluation, and deployment, to enable fast, safe, and consistent updates across environments
• Introduce modern, scalable frameworks for model monitoring, feature engineering,  hyperparameter tuning, and continuous re-training, ensuring robust model performance over time
• Lead the deployment of models through REST and gRPC APIs, enabling smooth integration with application frontends and real-time user interaction
• Continuously research, evaluate, and implement the latest MLOps tools, frameworks, and platforms to improve efficiency, scalability, and reliability of ML operations
• Implement and manage monitoring systems to track model and data performance, proactively identifying and mitigating issues using tools like Prometheus and Grafana
• Apply best practices in secure data handling and model integrity within ML workflows, ensuring regulatory and security compliance norms
• Share MLOps knowledge and improvements in ML engineering workflows through internal training sessions and presentations
• Support the next phase of ML pipeline development, focusing on building, maintaining, and monitoring pipelines to handle 10-100x increases in data volume

Benefits

• Work-life, Culture & Perks
• Compensation: The range is $225-250K with flexibility depending on a candidate’s background and experience plus meaningful equity (stock options)
• Well-Being: Full medical, dental, vision, short- & long-term disability, 401k matching. 100% of the employee contribution up to 3% and 50% of the next 2%
• Work/Life Balance: For this role we are hoping this person can work out of the NYC office regularly with much of our leadership with flexibility. We also have a flexible vacation/PTO policy
• Home & Family: 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers), sick days, paid time off. For new parents returning to work we offer a flexible schedule. We also offer sleep training to help you and your family navigate life schedules with a newborn
• Office Life: Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend
• Growth & Training: $1,000/year for each employee for professional development, as well as upskilling opportunities internally
• Sponsorship: We are open to sponsoring candidates currently in the U.S. who need to transfer their active H1-B visa