Senior Machine Learning Engineer

Job not on LinkedIn

November 27

🗽 New York – Remote

Although this job is listed in New York, this company may be open to hiring remote in other states.

💵 $180k - $200k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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beehiiv

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SaaS • Media • B2B

beehiiv is a SaaS platform that enables creators, publishers, and businesses to build, grow, and monetize newsletters and publication websites with no-code tools. It provides a newsletter editor, website builder, AI automations, growth tools (referral programs, pop-ups, boosts), audience segmentation, analytics, and an integrated ad network and monetization features such as paid subscriptions and sponsorships. The platform targets individual creators, media brands, and businesses looking to publish content, engage audiences, and generate revenue from their newsletters and sites.

51 - 200 employees

Founded 2021

☁️ SaaS

📱 Media

🤝 B2B

📋 Description

• Build and improve models for CTR prediction, publisher ad acceptance probability, publisher–advertiser matching, content quality classifiers, ad creative optimization, etc • Develop multi-stage optimization systems that assign ad opportunities using xarray tensors, constrained solvers, and multi-objective reward functions • Improve inventory estimators, cold-start models, and dynamic feature pipelines • Maintain and improve sentence-transformer embedding pipelines for publications, tags, campaigns, advertisers, and user behavior • Own vector similarity search, clustering, topic modeling, and publication-level semantic analytics • Create lightweight microservices on AWS for model inference • Develop and host APIs using Python FastAPI • Research and implementation of new methods, models, and frameworks as the complexity of the ad network increases

🎯 Requirements

• 4–7+ years building ML systems end-to-end in production • Deep experience with Python and common ML Libraries (pandas, NumPy, PyTorch, XGBoost, scikit-learn) • Strong understanding of supervised learning, ranking models, anomaly detection, embeddings, optimization, and feature engineering • Strong SQL and performance instincts (ClickHouse experience a huge plus) • Ability to analyze extremely large datasets (potentially billions of events) efficiently • Practical knowledge of statistics, experimental design, and investigative analytics • Knowledge of the NLP ecosystem (Huggingface, SentenceTransformers, etc) and underlining Transformers architecture • Familiarity with Airflow or similar orchestration tools

🏖️ Benefits

• Competitive salary • Stock Options • Health, Dental, and Vision Insurance • 401(k) employer match • Unlimited PTO (mandatory 10 days per year minimum) • Annual in-person team retreat • Unlimited book budget • Monthly Wellness Days (every third Friday of the month)