Senior Staff Machine Learning Engineer (AI)

TL;DR

Senior Staff Machine Learning Engineer (AI): Automating targeting and delivering relevant audiences to advertisers using ML-driven solutions with an accent on designing and executing ML-based targeting products. Focus on researching and implementing new model architectures for retrieval using deep learning (GNNs, transformers, two tower models, LLMs) and improving advertiser outcomes.

Location: Must be based in the US

Salary: $266,000 - $372,400 USD

Company

hirify.global is a community of communities built on shared interests, passion, and trust, and is home to open and authentic conversations.

What you will do

• Own end-to-end design and execution of ML-based targeting products like auto targeting, user lookalikes etc.
• Drive research direction and technical roadmap for complex projects and contribute meaningfully to team vision and strategy.
• Research, implement, test, and launch new model architectures for retrieval using deep learning (GNNs, transformers, two tower models, LLMs) with a focus on improving advertiser outcomes.
• Own offline & online experimentation of ML models for improving targeting products.
• Work on large scale data systems, and product integration.

Requirements

• Tech lead experience in a product ML team driving the research and technical direction to improve business outcomes using applied ML.
• Experience with ads retrieval modeling, ranking or recommendation systems.
• Experience with deep learning models for retrieval (two tower, GNNs, transformers, LLMs).
• 8+ years of end-to-end experience of training, evaluating, testing, and deploying machine learning models.
• 5+ years of experience building machine learning models with Tensorflow/Pytorch.
• Experience with large scale data processing & pipeline orchestration tools like Spark, Dataflow, Kubeflow, Airflow, BigQuery.

Nice to have

• Experience working with nearest-neighbor search systems.
• Experience working with cross functional stakeholders across research, product & infrastructure to productize ML research.
• Experience with deep learning, representation learning or transfer learning is preferred.
• Tech lead experience in a product team is strongly preferred.

Culture & Benefits

• Comprehensive Healthcare Benefits and Income Replacement Programs.
• 401k with Employer Match.
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support.
• Flexible Vacation & Paid Volunteer Time Off.
• Generous Paid Parental Leave.