Senior Machine Learning Engineer

Tensec; San Francisco (CA); On-site; USD 216,700 - 303,400; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) program with employer match

Generous vacation time

Parental leave

Job summary

Tensec is seeking a Machine Learning Engineer to join the Ads team in San Francisco. In this role, you will design, build, and deploy machine learning models that enhance advertising effectiveness, influencing ad ranking and bidding processes. Ideal candidates should have at least 3 years of ML experience and be proficient in Python and frameworks like TensorFlow or PyTorch.

With a competitive base salary ranging from $216,700 to $303,400, alongside equity opportunities and comprehensive benefits including medical insurance and parental leave, Tensec is committed to diversity and providing reasonable accommodations for applicants.

Qualifications

• 3+ years of experience in training, evaluating, and deploying ML models.
• Proficient in programming languages like Python or Scala.
• Experience with TensorFlow or PyTorch.

Responsibilities

• Design, build, and deploy machine learning models for ad ranking.
• Take ownership of the ML lifecycle from ideation to production.
• Perform feature engineering on diverse data.

Skills

Machine Learning

Python

Scala

TensorFlow

PyTorch

Feature Engineering

Cross-Functional Collaboration

Education

Advanced degree (MS/PhD) in a quantitative field

Tools

Spark

Kafka

Job description

Join the Ads team as a Machine Learning Engineer and become a key contributor to Reddit’s business. In this hands‑on role, you will be responsible for the full lifecycle of our ML systems, from initial research and modeling to deployment and optimization in production. Your work will directly impact how we deliver relevant ads and drive value for our advertisers across areas like ad ranking, bidding, measurement, and optimization.

Responsibilities:

• Design, build, and deploy industrial-level machine learning models to solve critical problems in ad ranking, bidding, and optimization.
• Take full ownership of the ML lifecycle, from ideation and research to building scalable serving systems and maintaining models in production.
• Perform systematic feature engineering to transform raw, diverse data into high-quality features that drive model performance.
• Work closely with product managers, data scientists, and engineers to translate business challenges into effective ML solutions.
• Improve the reliability and stability of our ML systems by building robust monitoring, alerting, and automated retraining pipelines.
• Research new algorithms, stay up‑to‑date with state‑of‑the‑art ML techniques, and contribute to the team’s strategy and roadmap.

Required Qualifications:

• At least 3+ years of end-to-end experience in training, evaluating, and deploying machine learning models in a production environment.
• Proficient in one or more general-purpose programming languages (e.g., Python, Scala) and have a solid understanding of software development best practices.
• Hands‑on experience with a major machine learning framework (e.g., TensorFlow, PyTorch) and a deep understanding of core ML concepts and algorithms.
• Proof of ability to work effectively with cross‑functional teams, including product managers and data scientists, to translate business needs into technical solutions.
• Track record of using machine learning to drive key performance indicator (KPI) wins and solve complex, real-world problems.

Bonus Points:

• Experience working in the Ads domain.
• Experience or interest in the advertising business and understanding customer needs.
• An advanced degree (MS/PhD) in a quantitative field.
• Familiarity with distributed systems and large‑scale data processing technologies (e.g., Spark, Kafka).

Pay Transparency:

The base pay range for this position is: $216,700 — $303,400 USD.

This job posting may span more than one career level.

In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave.

Reddit is proud to be an equal‑opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.