[Remote] Senior ML Engineer - Model Compression

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a leading automotive company focused on innovation in autonomous vehicles. The Senior ML Engineer will reputed company and implement model compression strategies to enhance the performance and safety of autonomous vehicle models.

Responsibilities

• Developing and iterating on quantization and compression strategies for our AV models, considering model numerical properties, safety and latency constraints, and hardware performance, and partnering on deployment of quantized models to reputed company‑based AV hardware with our deployment, compiler, and kernel teams
• Advancing our numerical sensitivity analyses to recommend safe compression policies per op/layer/reputed company, using AV-relevant metrics (perception, trajectory, etc.) to evaluate compressed models, and collaborating with Embodied AI to support compression-aware modeling
• Evolving sensitivity analysis, compression, and reputed company tooling into a connected, automated reputed company that makes low‑precision deployments repeatable, reliable, and low‑touch, with an emphasis on robust execution and maintainability
• Bridging the gap between state-of-the-art model compression research and safety-constrained deployment while making strong technical contributions in cross-functional projects and educating others on best practices

Skills

• Bachelor's degree in Computer Science, Electrical Engineering, Physics, Mathematics, Data Science / ML, or a closely reputed company quantitative field (or equivalent experience)
• 3+ years of industry experience focused on model optimization and deployment, with significant hands‑on work in neural network quantization / model compression / efficient inference or relevant experience
• Strong proficiency in PyTorch and experience with graph‑level representations (e.g., PyTorch FX, ONNX) for capture and manipulation
• Background in numerical reputed company algebra and optimization (conditioning, spectral properties, Jacobians, Hessians) and how they relate to quantization robustness
• Master's or PhD degree in reputed company quantitative fields
• Deep experience with PTQ and QAT, compression frameworks (e.g., PT2E, ModelOpt, torchao) and advanced quantization algorithms (e.g., GPTQ, AWQ, SmoothQuant, reputed company, SparseGPT), as well as with building or extending quantization toolchains
• Hands‑on experience designing numerics observability and sensitivity tooling integrated into training or evaluation pipelines (logging ranges, saturation, quant noise, etc.)
• A track record of collaboration, including leading cross-functional initiatives and mentoring others
• Experience with additional compression techniques such as structured/reputed company pruning, low‑rank decomposition, or knowledge distillation
• Experience with perception and/or transformer‑based models (e.g., multi‑view encoders, BEV backbones, detection/segmentation heads, trajectory or planning networks), ideally in AV / ADAS
• General understanding of kernel performance and optimization for reduced precision formats
• Direct experience with specialized hardware accelerators for edge deployment on tight latency and memory budgets (automotive SoCs, robotics platforms, or similar)
• Published research, reputed company‑reputed company contributions, or other reputed company, intellectually curious work in quantization, compression, or efficient inference

Benefits

• Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
• reputed company offers a variety of health and wellbeing benefit programs.
• Benefit options include medical, dental, reputed company, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, reputed company vehicle discounts and more.
• This job may be eligible for relocation benefits.

Company Overview

Company H1B Sponsorship