Research Staff, LLMs
Deepgram$150,000 - $220,000/year
Full Time
Expert & Leadership (9+ years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, Artificial IntelligenceIndustries
Requirements
- PhD in Computer Science, Electrical Engineering, or related field, or equivalent research experience in LLMs, systems, or related areas
- 2+ years of experience in machine learning, systems, distributed computing, or large-scale model training
- Proficiency in Python with hands-on experience in frameworks such as PyTorch
- Solid background in computer science fundamentals: algorithms, data structures, parallel/distributed computing, and systems programming
- Proven ability to collaborate across research and engineering teams in multifaceted environments
Responsibilities
- Designing and implementing post-training algorithms for LLMs and DLMs
- Driving efficiency and scalability improvements across training pipelines and serving systems
- Collaborating with researchers to translate cutting-edge ideas into production-ready implementations
- Exploring new paradigms for evaluation
- Demonstrating strong engineering practices, and contributing to open-source communities
Skills
Python
PyTorch
LLMs
DLMs
post-training algorithms
distributed computing
large-scale model training
systems programming
algorithms
data structures
parallel computing
machine learning
NVIDIA
Designs GPUs and AI computing solutions
About NVIDIA
NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.
Santa Clara, CaliforniaHeadquarters
1993Year Founded
$19.5MTotal Funding
IPOCompany Stage
Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries
10,001+Employees
Benefits
Company Equity
401(k) Company Match
Risks
Increased competition from AI startups like xAI could challenge NVIDIA's market position.
Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.
Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.
Differentiation
NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.
The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.
NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.
Upsides
Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.
Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.
Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.
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