For our client, we are seeking a Senior Deep Learning Algorithm Engineer to join the team of a leader in the Telecommunications & Hardware space. This role will drive marketing initiatives focused on growth, customer acquisition, brand performance, and measurable demand creation. You will collaborate with analytics, product, creative, and commercial teams to turn market insights into scalable campaigns, testing strategies, and performance improvements. The position offers the opportunity to directly influence customer engagement, conversion performance, and revenue growth within a Telecommunications & Hardware environment.
Location: Remote - US based candidates only, no visa sponsorship available
Compensation: $184,000 – $356,500 annually
Responsibilities
- Develop algorithms for AI/DL, data analytics, machine learning, or scientific computing
- Contribute to and advance open-source frameworks like NeMo-RL and Megatron Core
- Address large-scale AI training and inference challenges throughout the model lifecycle
- Work at the intersection of computer architecture, libraries, frameworks, and AI applications
- Innovate model architectures, distributed training algorithms, and parallel paradigms
- Optimize performance through tuning, training, and finetuning on the company GPUs
- Research and develop robust, scalable AI tools and pipelines
Qualifications
- MS, PhD or equivalent experience in Computer Science, AI, Applied Math, or related fields
- 5+ years of industry experience
- Experience with AI Frameworks (e.g. PyTorch, JAX, Ray) and inference environments (e.g. TRTLLM, vLLM, SGLang)
- Proficient in Python programming, software design, debugging, and performance analysis
- Record of improving AI libraries with new innovations
- Strong understanding of AI/Deep-Learning fundamentals and practical applications
Benefits
- Access to equity incentives
- Opportunity for collaboration with open-source community and internal partners
- Engagement in cutting-edge AI research and application
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.