Lead Ai Engineer
Sphere- Location
- Not specified
- Work mode
- On-site
- Type
- full time
- Listed
Applications go directly to Sphere. Ramai takes no fee for placement and no money for ranking.
[ About this role ]
Lead development of Sphere's proprietary AI reasoning model, TRAM, which interprets global trade law. This involves building data pipelines for legal sources, the model stack for structured evidence, evaluation frameworks for accuracy, and fine-tuning loops for performance improvement, all while ensuring speed, scale, correctness, and robustness at millisecond latency.
Skills and focus areas
- ai reasoning
- llms
- data pipelines
- model stack development
- evaluation frameworks
- fine-tuning
- speed
- scale
- correctness
- robustness
- millisecond latency
- zero downtime
Summary written by Ramai from the original posting. Full details and requirements are on Sphere’s careers page.
[ More at Sphere ]
AI-powered sales tax, VAT and GST compliance
See all 16 open roles at Sphere →[ Similar roles at other startups ]
- Software Engineer - SystemsDoe
- Site Reliability Engineer, Sr. Site Reliability EngineerProve
- Senior Software Engineer, ComputationAurora Solar
- Chief Technology OfficerArtsy
- Staff Technical Program Manager - MobileMX Technologies
- Software Engineer - Full-stackCardless
[ Not quite right? ]
Tell the assistant what you’re after — stage, location, stack, visa sponsorship — and it searches every open role for you. A few questions are free, no account needed.