Senior AI/ML Engineer

Summary

Join Upwork's Hybrid Workforce Solutions team as a Senior AI/ML Engineer and build cutting-edge machine learning models to drive significant business growth. You will analyze vast datasets, design and implement efficient models, optimize recommendation systems, and collaborate with cross-functional teams. This role requires deep knowledge of machine learning, strong programming skills, and experience with deep learning frameworks. You'll contribute to groundbreaking projects shaping the future of work, working with some of the brightest minds in the industry. The position involves a significant time commitment and requires strong communication skills. Upwork is committed to fostering a diverse and inclusive workforce.

Requirements

• Deep knowledge of machine learning, information retrieval, recommender systems, natural language processing or related fields e.g. Learning-to-Rank, Large Language Models, NLP & NLU, Deep Learning, Transfer Learning, Multi-task Learning, Graph Neural Network. A willingness to branch out and learn new domains and approaches
• Solid programming skills (e.g. Python, Spark, SQL, scala, java) that enable you to retrieve, analyze and process data, and build machine learning models from scratch
• Experienced with deep learning frameworks such as PyTorch and TensorFlow, Large Language Models, Generative AI, Langchain, Transformer models
• Superior ability to analyze and interpret the results of product experiments
• Employment history preferably a recognizable consumer Internet company
• Strong communication skills, both written and verbal

Responsibilities

• Analyze millions of structured and unstructured data to identify patterns and insights in user behavior and build meaningful features to improve model performance
• Design and implement efficient and reusable features, models and systems for different machine learning applications (classical & deep learned models) in low latency fashion
• Contribute to the performance and continued optimization of our recommendation systems: build machine learning models to improve understanding of user preferences, user intent and context to deliver accurate, relevant and personalized recommendations
• Collaborate with the business, analytics, and engineering counterparts to share the discovered data stories with stats, charts, and formal presentations, and finally propose recommendations to maximize the business impact
• Create and maintain comprehensive documentation for our services ensuring transparency and knowledge sharing with the team
• Manage your time independently and effectively to achieve project deliverables, which may require an estimated 40 hours of effort per week
• Communicate and collaborate frequently, proactively and effectively in English
• Participate in project meetings and provide regular status updates
• Participate in on-call pager duty schedules providing timely responses and resolutions to critical issues
• Show a commitment to continuous learning and improvement in both technical and soft skills
• Ensure consistent availability from 9am to 12pm PST to facilitate team collaboration and meetings