Raft is hiring a
Senior AI/ML Engineer in United States

Summary

The job description is for a Senior AI/ML Engineer position at Raft, a customer-obsessed small business focusing on Distributed Data Systems, Platforms at Scale, and Complex Application Development. The role involves developing Machine Learning models in a cross-functional team. The position requires U.S. citizenship, is remote, and offers a salary range of $110,000 - $180,000.

Requirements

• 1-3 years of relevant hands-on experience
• Proven capability in deploying Machine Learning models, particularly using frameworks such as PyTorch
• Experience with Computer Vision or Natural Language Processing (NLP)
• Strong background in software engineering with proficiency in Python
• Experience with data processing frameworks such as Apache Spark
• Experience building and maintaining Machine Learning pipelines
• Demonstrated ability to work independently and collaboratively in a team environment
• Excellent problem-solving skills with meticulous attention to detail
• Familiarity with Scrum/Agile development methodologies and DevOps tools, including Git
• Fast learner, analytical thinker, creative, hands-on, strong communication skills
• Required to obtain Security+ certification within the first 90 days of employment

Responsibilities

Develop Machine Learning models that are integral to a larger pipeline delivering value to end customers

Preferred Qualifications

• Exposure to unmanned systems technologies and working with sensor and geospatial data
• Experience deploying and tuning Large Language Models (LLMs) including both encoder-decoder and decoder-only
• Active contributions to open-source projects or visible GitHub repositories
• Knowledge of container orchestration systems, particularly Kubernetes

Benefits

• Highly competitive salary
• Fully covered healthcare, dental, and vision coverage
• 401(k) and company match
• Take as you need PTO + 11 paid holidays
• Education & training benefits
• Annual budget for your tech/gadgets needs
• Monthly box of yummy snacks to eat while doing meaningful work
• Remote, hybrid, and flexible work options
• Team off-site in fun places!
• Generous Referral Bonuses
• And More!