Deep Learning Engineer (Distributed) - Remote Work | REF#300940

At BairesDev, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley.

Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide.

When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success.

As a Deep Learning Engineer (Distributed), you will lead the development and optimization of large-scale model training across multi-GPU and multi-node environments. You will focus on maximizing training throughput and efficiency, ensuring that complex models scale seamlessly across high-performance compute clusters.

What You'll Do

• Design and implement distributed training pipelines using PyTorch DDP, FSDP, and DeepSpeed.
• Optimize model performance through mixed-precision training and advanced sharding techniques.
• Identify and resolve system bottlenecks using Nvidia GPU profiling tools like Nsight.
• Develop and deploy optimized model kernels using Triton or TensorRT to enhance inference and training speed.
• Collaborate with research and systems teams to manage distributed state and resilient checkpointing at scale.
  
  

What We Are Looking For

• 4+ years of experience in Machine Learning Engineering, Distributed Systems, or a related technical field.
• Proven expertise in PyTorch and distributed training frameworks including DDP, FSDP, and DeepSpeed.
• Strong familiarity with CUDA and Nvidia GPU profiling tools like Nsight.
• Hands-on experience with ML performance optimization using Triton or TensorRT.
• Advanced proficiency in English.
  
  

How we do make your work (and your life) easier:

• 100% remote work (from anywhere).
• Excellent compensation in USD or your local currency if preferred
• Hardware and software setup for you to work from home.
• Flexible hours: create your own schedule.
• Paid parental leaves, vacations, and national holidays.
• Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.
• Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.
  
  

Join a global team where your unique talents can truly thrive and make a significant impact!

Apply now!