Summary
Join Liftoff's Conversion ML group as a Software Engineer and design, implement, and scale efficient ML pipelines for real-time and batch processing. You will gain hands-on experience with training and serving ML models at scale, developing software to enhance team productivity, and monitoring model performance. Responsibilities include tracking performance, detecting drift, automating retraining, and collaborating with a team of engineers. Strong communication skills are essential to explain complex concepts to both technical and non-technical audiences. Liftoff fosters an "engineering excellence" culture with state-of-the-art tools and rigorous testing. This role offers full-time remote work options in several US states and Canada.
Requirements
- 8+ years of industry experience in Software Engineering and/or Infrastructure
- B.S. or higher in Computer Science
- Very strong coding ability
- Experience with Machine Learning, PyTorch and PySpark
- Deep understanding of computer architectures, data structures, and algorithms
- Experience building machine learning tooling and/or platforms
- Good team communication and collaboration skills
Responsibilities
- Design & implement reliable, scalable, and cost-efficient ML pipelines โ Build and scale efficient pipelines for real-time and batch processing
- Gain hands-on experience with training and serving ML models at scale
- Develop software that enhances team productivity
- Model Monitoring & Improvement โ Track performance, detect drift, and automate retraining
- Work with an experienced team of ML, Software, and Infrastructure Engineers
- Use strong communication skills (verbal and written) to explain statistical and machine learning concepts to both technical and non-technical audiences
- Be part of an โengineering excellenceโ culture through state-of-the-art tools, risk-driven testing, explainable systems, and code review
Preferred Qualifications
- Previous experience in ad-tech
- Python, Golang
Benefits
- Health/vision/dental benefits
- Equity
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