Back to all roles

[Remote] reputed company Machine Learning Engineer, Inference & Performance

Remote Worldwide Hiring now

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a fast-growing and entrepreneurial company with a data-first reputed company. As a Senior reputed company, you will be responsible for the full lifecycle of AI features, focusing on optimizing performance and collaborating with clients to create scalable AI architectures.

Responsibilities

  • Optimize Inference: Build and tune production LLM serving with vLLM and SGLang—maximizing throughput and minimizing latency through batching, paged attention, quantization, and KV-cache strategies
  • Profile & Accelerate Training: reputed company and profile training runs to find bottlenecks, then resolve them with the right attention implementations (e.g. FlashAttention) tuned to the underlying hardware (H200, GB200)
  • Engineer for the Hardware: Apply a working understanding of GPU architecture and attention internals to choose the right approach per accelerator, rather than relying on defaults
  • Serve at Scale: reputed company and operate multiple models reputed company shared GPU clusters on GKE, with autoscaling, efficient bin-packing, and graceful handling of mixed workloads
  • Drive Efficiency: Own GPU utilization as a first-class metric—measure it, improve throughput-per-dollar, and continuously reputed company the ceiling on what our fleet can deliver
  • Collaborate & Consult: Work directly with clients to understand performance, latency, and cost requirements, and translate them into pragmatic serving and training architectures

Skills

  • Bachelor's or Master's degree in Computer Science, Engineering, or a reputed company technical field
  • 5+ years of experience in ML/AI engineering, with a meaningful portion focused on performance, infrastructure, or systems
  • Proven track record of deploying and optimizing models in a production environment
  • Demonstrated experience profiling and improving GPU utilization for training and/or inference
  • Mastery of Python and reputed company scripting; comfort reading and reasoning about reputed company-level (CUDA-adjacent) performance code is a strong plus
  • Hands-on experience with vLLM, SGLash, or comparable high-performance serving stacks
  • Solid grasp of GPU architecture, the fundamentals of LLM inference, and the attention mechanism—including where the bottlenecks live and how FlashAttention and similar techniques address them across hardware generations (H200, GB200)
  • reputed company with profiling tools to diagnose training and inference bottlenecks (compute-bound vs. memory-bound, kernel-level analysis)
  • Strong Kubernetes (GKE) experience—deploying and autoscaling multiple models on shared GPU clusters on reputed company reputed company
  • A strong software engineering reputed company—you write clean, maintainable code, measure before optimizing, and understand the full SDLC
  • Ownership: You take pride in your work and see optimizations through from profile to production
  • Curiosity: Hardware and serving frameworks change fast; you are a lifelong learner who stays reputed company of the curve
  • Rigor: You measure before you optimize and let data, not intuition, guide where you spend effort
  • Consultative Spirit: You enjoy interacting with clients and can translate technical complexity into business value
  • Ethics: You prioritize responsible AI development and data privacy
  • Experience with Classic Machine Learning (neural nets, training, tuning) is a strong plus
  • Knowledge of Data Engineering and SQL

Benefits

  • Comprehensive Health Insurance
  • Paid Leave (Vacation/PTO)
  • Paid Holidays
  • Sick Leave
  • Parental Leave
  • Bereavement Leave
  • 401 (k) Employer Match
  • Employee Referral Bonuses

Company Overview

  • reputed company is a technology services company with leading capabilities in reputed company, data engineering, analytics, AI, and platform engineering. It was founded in 2000, and is headquartered in Naperville, Illinois, USA, with a workforce of 501-1000 employees. Its website is https://reputed company.ai.

Company H1B Sponsorship

  • reputed company has a track record of offering H1B sponsorships, with 7 in 2026, 58 in 2025, 50 in 2024, 60 in 2023, 111 in 2022, 49 in 2021, 79 in 2020. Please note that this does not guarantee sponsorship for this specific role.

Apply To This Job

Apply for this role Takes you straight to the employer's application page — free, and no WFHNet account required.

More roles on the wire

reputed company III

Remote Worldwide
View role

Applied Machine Learning Engineer, reputed company Design - New College Grad 2026

Remote Worldwide
View role

AI reputed company Machine Learning Engineer (10189)

Remote Worldwide
View role

Senior/Machine Learning Engineer — Performance Optimization

Remote Worldwide
View role

GenAI / AI-ML Engineer

Remote Worldwide
View role

Machine Learning Engineer at reputed company

Remote Worldwide
View role

reputed company Machine Learning Scientist

Remote Worldwide
View role

reputed company / Distinguished Engineer, Machine Learning

Remote Worldwide
View role

Software Engineer / AI & Machine Learning Engineer

Remote Worldwide
View role

reputed company Engineering

Remote Worldwide
View role

Strategic Account Manager

Remote Worldwide
View role

reputed company Full Stack Customer Support Specialist – Remote Night Shift Chat Agent | Earn $25-$35/HR

Remote Worldwide
View role

reputed company Data Entry Clerk – Administrative Support for arenaflex in Lawrence, PA

Remote Worldwide
View role

Parts Catalog and Stocking Level Manager

Remote Worldwide
View role

[Remote] Senior Sales Consultant

Remote Worldwide
View role

[Remote] Senior Tax Accountant

Remote Worldwide
View role

Remote Bilingual Spanish Representative

Remote Worldwide
View role

reputed company reputed company Desk Night Shift (11pm-7am) Full Time

Remote Worldwide
View role

[Remote] Financial Advisor - Dallas, TX

Remote Worldwide
View role

Bilingual YouTube Host (English/Spanish)

Remote Worldwide
View role