Ladders
Senior Software Engineer, ML Enablement
Skills
10 days ago
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Important information
Contract type:
Permanent
Location:
United States
Work mode:
Onsite
Published on:
16 October 2026
What they need
For our client, we are seeking a Senior Software Engineer, ML Enablement to join the team of a leader in the Consumer Technology space.
This role will focus on building the infrastructure that supports machine learning model training and serving at scale. You will partner closely with Applied Scientists and other engineering stakeholders to improve performance, reliability, and cost efficiency across production systems. The work will span backend engineering, cloud infrastructure, and LLM serving support in a fast-moving consumer technology environment.
Location: Remote - US based candidates only, no visa sponsorship available
Compensation: $164,000 – $246,000 annually
Responsibilities
- Write high-quality, production-grade Python code and participate in code reviews
- Build and improve infrastructure for training and serving ML models on GCP and Kubernetes
- Design and maintain serving infrastructure for open-source and internal LLMs
- Apply ML fundamentals to make informed infrastructure decisions
- Collaborate with Applied Scientists to streamline model training and serving workflows
- Contribute to system design discussions, balancing performance, cost, and reliability
- Utilize generative AI tools to enhance productivity and learning
Qualifications
- Bachelor's degree in Computer Science, Applied Statistics, Mathematics, Electrical Engineering, or a related field, or equivalent experience
- 5+ years of experience building and troubleshooting complex backend systems
- Strong software engineering skills with proficiency in Python and understanding of algorithms and data structures
- Hands-on experience with Google Cloud and Kubernetes for production workloads
- Familiarity with observability tools for monitoring distributed systems
- Knowledge of machine learning fundamentals and LLM serving infrastructure
- Basic understanding of transformer architectures and their impact on serving infrastructure
Benefits
- Equity package and annual performance bonus
- Comprehensive benefits supporting you and your family
- Flexible work arrangements with a focus on collaboration in the Brooklyn office
Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.
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