Senior AL/ML Engineer - Search & Recommendations


Upwork ($UPWK) is the world’s work marketplace. We serve everyone from one-person startups to large, Fortune 100 enterprises with a powerful, trust-driven platform that enables companies and talent to work together in new ways that unlock their potential.Last year, more than $3.8 billion of work was done through Upwork by skilled professionals who are gaining more control by finding work they are passionate about and innovating their careers.


We're looking for an experienced Senior AI/ML Engineer to join our Al team in the Search & Recommendations domain. In this role, you will be building cutting-edge machine learning models that elevate our AI  strategies to drive significant business growth. As a senior ML Engineer, you will have the opportunity to work with some of the brightest minds in the industry and contribute to groundbreaking projects that shape the future of work. If you are passionate about pushing the boundaries of machine learning, thrive in a collaborative, results-oriented culture, and are excited about our mission, we invite you to join us.


  • 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.

What it takes to catch our eye:

  • Strong Industry experience with large scale production grade machine learning systems an ML engineer with proficiency in one or more areas: Information Retrieval, Recommender Systems, 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. 
  • Experienced with deep learning frameworks such as PyTorch and TensorFlow, Large Language Models, Generative AI, Langchain, Transformer models 
  • Experienced  with operationalizing, monitoring, and scaling machine learning models and pipelines in cloud ecosystems
  • Excellent programming skills with one or more of the following languages Python, Spark, SQL, scala, java
  • Hands-on experience with modern recommendation systems such as online and adaptive recommender systems is …
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