MyFitnessPal is hiring a
Senior Search Engineer in United States

Summary

MyFitnessPal is looking for a Software Engineer to join their Search Engineering team. The engineer will build and maintain APIs, assist Data Scientists, handle search performance tuning, collaborate with senior engineers, and support production issues. The role requires 4+ years of experience in performance tuning, machine learning frameworks, high availability and disaster recovery options for search, AWS or other cloud computing platforms, Scala, Python, SQL, database design, data architecture, and performance tuning, large-scale data infrastructure systems, and a variety of data stores. MyFitnessPal offers a salary range of $130,000 - $150,000 and comprehensive employee benefits including healthcare, parental planning, mental health benefits, annual performance bonus, 401(k) plan and match, flexible time-off policy, monthly wellness and technology allowances, and others.

Requirements

• 4+ years of experience or relevant work experience
• Experience in performance tuning, query analysis, defining success criteria and metrics, designing ranking and relevance experiments and optimizing Elasticsearch
• Experience working with industry standard machine learning frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow)
• Knowledge of high availability and disaster recovery options for search
• Familiarity with AWS, GCP and/or other cloud computing platforms
• Prior experience with Scala, Python, and SQL
• Understanding of best practices in database design, data architecture, and performance tuning
• First-hand experience in building, scaling, and supporting large-scale data infrastructure systems in production
• Experience with a variety of data stores (e.g. MySQL, MongoDB, DynamoDB, Redis)
• Profiling and performance tuning applications
• Experience with high volume messaging queues such as Kafka

Responsibilities

• Build and maintain APIs that drive user experience, integrating with services and systems across MyFitnessPal engineering teams
• Assist Data Scientists in development, monitoring, and training of machine learning models
• Handle search performance tuning including data-design, indexing, evaluation and improvement
• Collaborate closely with senior search engineers, product management, and other technical leaders in discovery and planning of solution creation, experimentation, and delivery
• Support resolution of production issues across the search stack
• Engage in peer code-reviews

Benefits

Healthcare, parental planning, mental health benefits, annual performance bonus, a 401(k) plan and match, flexible time-off policy, monthly wellness and technology allowances, and others