AI Engineer in ML Data

Logical Intelligence • San Francisco, CA

11d

About The Position

Join our team as an AI Engineer and help us push the boundaries of what's possible in logical reasoning! We’re looking for a motivated individual to design and refine the data and ML pipelines for scaled distributed training and validation of ML models. You'll work closely with a talented team of AI experts, EBM specialists, formal verification engineers, and software developers to create groundbreaking solutions.

Requirements

• You have an M.Sc. focusing on one or more of the following areas: Computer Science, Artificial Intelligence, Mathematics, or a closely related field
• 3+ years of production experience in ML Infra, DataOps, distributed training
• Expertise in programming languages and tools critical for high-performance computing in Python/C++ and machine learning including Deep Learning frameworks like PyTorch /TensorFlow/JAX
• Ability to understand deep learning algorithms, e.g. in natural language processing, reasoning
• Familiarity with Azure/AWS/GCP cloud products for MLOps and DataOps pipelines
• Proficiency with Kubernetes clusters and distributed compute assets
• Strong communication and teamwork skills
• Readiness to explore and promote cutting edge technologies in ML Infrastructure domain and beyond

Nice To Haves

• Demonstrated publications in any of the major conferences
• Multi-node and multi-GPU training
• Mathematical Reasoning – discrete math and logic
• Formal Verification - lean

Responsibilities

• Research new reasoning algorithms and models
• Develop model benchmarking processes and tools
• Build effective and efficient ML data pipelines
• Adjust frameworks and interfaces to accelerate machine learning development
• Develop the infrastructure for data augmentation pipelines and synthetic data generation
• Collaborate with other teams to understand their pain points and priorities to define milestones of the corresponding roadmaps
• Derive practical solutions and integrate them with the results of other teams to provide the best overall resolution

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level