Senior Staff Software Engineer, ML Training & Serving

Job not on LinkedIn

July 31

🏄 California – Remote

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

⛰️ Colorado – Remote

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

+4 more states

🏄 California – Remote ⛰️ Colorado – Remote 🎰 Nevada – Remote 🌲 Oregon – Remote ⛷️ Utah – Remote ☕ Washington – Remote

💵 $265k - $345k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

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Liftoff Mobile

WebsiteLinkedInAll Job Openings

Advertising • Mobile • Machine Learning

Liftoff Mobile is a leading platform designed to enhance mobile advertising and growth for businesses. The company specializes in leveraging advanced machine learning solutions through its Cortex platform to improve user acquisition, engagement, and monetization strategies in the mobile ecosystem. Liftoff's services cater to marketers, mobile game developers, and agencies, providing tools for performance marketing, creative ad solutions, and data-driven insights. Their offerings include products like the Vungle Exchange, Creative Studio, and Intelligence solutions, aimed at maximizing earnings and creating impactful ad experiences across mobile applications.

501 - 1000 employees

Founded 2012

📋 Description

• As a Senior Staff Software Engineer on the Training & Serving Team, you will: • Design and build scalable, resilient infrastructure for training and serving deep learning models, ensuring millisecond-level latency and high availability under heavy traffic. • Collaborate with ML modeling and platform teams to productionize cutting-edge neural network models, ensuring infrastructure meets the demands of evolving model architectures and workloads. • Instrument and monitor system performance with detailed observability tooling, proactively identifying bottlenecks in model inference, data throughput, or distributed training. • Profile and optimize ML model performance across the training and inference stack. • Build internal tooling and automation to accelerate the ML experimentation cycle — including experiment tracking, model versioning, reproducibility tools, and rapid feedback loops for researchers and engineers. • Utilize vendor-based products (AWS, etc.), open-source technologies (PyTorch, PySpark, etc.) and in-house tooling.

🎯 Requirements

• Very strong coding ability (any backend language) • Strong core CS fundamentals (data structures, algorithms, architecting systems) • 12+ years of related experience with a Bachelor’s degree; 8+ years and a Master’s degree • Experience building Machine Learning tooling or platforms, in particular when applied to large scale problems • Experience with NVIDIA Triton, PyTorch, or PySpark is a big plus • Experience working in high-growth startup atmosphere is a plus • A passion for quality and excellence, and the ability to temper it when necessary to ship • Nice to haves: Previous experience in ad-tech • Python, Golang

🏖️ Benefits

• Liftoff offers all employees a full compensation package that includes equity and health/vision/dental benefits associated with your country of residence. • We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT. • Liftoff is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and applicants regardless of race, ethnicity, national origin, age, marital status, disability, sexual orientation, gender identity, religion, veteran status, or any other characteristic protected by applicable law. • Liftoff’s compensation strategy includes competitive salaries, equity, and benefits designed to support employee well-being and performance. We benchmark compensation based on role, level, and location to ensure fairness and market alignment. Benefits may include medical coverage, wellness stipends, and additional perks based on your country of residence.