Harnham
This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
$180,000.00/yr - $200,000.00/yr Job Summary: We are seeking a Staff Machine Learning Engineer to lead core AI initiatives including personalization, marketplace trust, and seller tools. This role requires architecting large-scale ML systems, partnering with Data Science teams to productionize models, and mentoring junior engineers while influencing cross-functional stakeholders. Key Responsibilities: Technical lead for core AI initiatives with hands-on contribution Architect and deploy large-scale ML systems (batch & real-time) Partner with DS leads to productionize experimentation-ready models Drive system design across MLOps, model serving, and monitoring Mentor junior MLEs and influence cross-squad engineering culture Preferred Qualifications Technical Skills Strong software engineering foundation with expert Python proficiency Backend and data systems experience with production model deployment Distributed systems knowledge with focus on model performance and cost optimization MLOps expertise across model serving and monitoring systems ML Frameworks: PyTorch (preferred) or TensorFlow Tools: Airflow, Spark, Databricks, MLFlow, Feature Store Cloud: GCP and AWS hybrid environments Infrastructure: Real-time + batch pipelines, vector DBs, scalable inference Seniority level
Mid-Senior level Employment type
Full-time Job function
Management Industries
Social Networking Platforms, Internet Marketplace Platforms, and Retail Referrals increase your chances of interviewing at Harnham by 2x Harnham is an equal opportunities employer and welcomes applications from all qualified candidates.
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$180,000.00/yr - $200,000.00/yr Job Summary: We are seeking a Staff Machine Learning Engineer to lead core AI initiatives including personalization, marketplace trust, and seller tools. This role requires architecting large-scale ML systems, partnering with Data Science teams to productionize models, and mentoring junior engineers while influencing cross-functional stakeholders. Key Responsibilities: Technical lead for core AI initiatives with hands-on contribution Architect and deploy large-scale ML systems (batch & real-time) Partner with DS leads to productionize experimentation-ready models Drive system design across MLOps, model serving, and monitoring Mentor junior MLEs and influence cross-squad engineering culture Preferred Qualifications Technical Skills Strong software engineering foundation with expert Python proficiency Backend and data systems experience with production model deployment Distributed systems knowledge with focus on model performance and cost optimization MLOps expertise across model serving and monitoring systems ML Frameworks: PyTorch (preferred) or TensorFlow Tools: Airflow, Spark, Databricks, MLFlow, Feature Store Cloud: GCP and AWS hybrid environments Infrastructure: Real-time + batch pipelines, vector DBs, scalable inference Seniority level
Mid-Senior level Employment type
Full-time Job function
Management Industries
Social Networking Platforms, Internet Marketplace Platforms, and Retail Referrals increase your chances of interviewing at Harnham by 2x Harnham is an equal opportunities employer and welcomes applications from all qualified candidates.
#J-18808-Ljbffr