Dive into anything
Software Engineering • Full-Stack Engineering • Frontend Engineering • Backend Engineering • Social Media
501 - 1000
March 21
Dive into anything
Software Engineering • Full-Stack Engineering • Frontend Engineering • Backend Engineering • Social Media
501 - 1000
• 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, lead day to day project execution, and contribute meaningfully to team vision and strategy • Be a thought leader for the team and collaborate closely with product managers and cross-functional partners to develop and prioritize the roadmap based on data analysis, industry research and product research • 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 • Provide mentorship to junior MLEs • Own offline & online experimentation of ML models for improving targeting products • Work on large scale data systems, and product integration • Collaborate closely with multiple stakeholders cross product, engineering, research and marketing
• 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) • 5+ years of end-to-end experience of training, evaluating, testing, and deploying machine learning models • 2+ 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 • Experience working with nearest-neighbor search systems is a big plus • 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
• Comprehensive Health benefits • Retirement Savings plan with matching contributions • Workspace benefits for your home office • Personal & Professional development funds • Family Planning Support • Flexible Vacation & Reddit Global Days Off
Apply NowMarch 20
1001 - 5000
March 20
5001 - 10000
🇺🇸 United States – Remote
💵 $204k - $254k / year
💰 Post-IPO Equity on 2020-12
⏰ Full Time
🔴 Lead
🤖 Machine Learning Engineer
🗽 H1B Visa Sponsor
March 19
51 - 200
🇺🇸 United States – Remote
💵 $150k - $240k / year
💰 $60M Series C on 2021-10
⏰ Full Time
🔴 Lead
🤖 Machine Learning Engineer
🗽 H1B Visa Sponsor
March 12
51 - 200
🇺🇸 United States – Remote
💵 $150k - $240k / year
💰 $60M Series C on 2021-10
⏰ Full Time
🔴 Lead
🤖 Machine Learning Engineer
🗽 H1B Visa Sponsor
February 22
11 - 50
🇺🇸 United States – Remote
💵 $85k - $200k / year
💰 $20M Series A on 2022-03
⏰ Full Time
🔴 Lead
🤖 Machine Learning Engineer
🗽 H1B Visa Sponsor