Member of Technical Staff - Applied ML, Japanese Multimodal

Liquid AI; United States; Remote; USD 150,000 - 210,000; Full time

Benefits offered by this job

Remote work

Mentorship

Unlimited PTO

Salary & equity

Job summary

Liquid AI seeks a leader to own applied machine learning projects for customers in Japan, guiding work from discovery through production deployment. You will ensure models are reliable in real environments, optimize inference, and support model integration across products and engineering teams.

You will collaborate with customer engineering teams, cross-functional research, product, and engineering groups, travel occasionally to Japan and the US for conferences and on-site collaboration.

Qualifications

• Translate ambiguous customer problems into practical engineering plans.
• Ability to lead technical work from discovery to deployment.
• Strong applied ML judgment considering privacy, compute, latency, and memory.
• Clear communication across globally distributed teams.

Responsibilities

• Clarify customer needs and convert into technical plans.
• Integrate and optimize inference to meet latency and memory targets.
• Build data pipelines, evaluation workflows, and serving components.
• Adapt or post-train models and validate results with error analysis.
• Share findings with product and engineering teams and develop deployment approaches.
• Travel occasionally within Japan and to the United States or conferences.

Job description

Role overview

Own applied machine learning projects for customers in Japan, guiding work from early technical discovery through production deployment. The focus is making models reliable in real operating environments, which may involve inference optimization, evaluation, post-training, and supporting software as well as model integration. You will work with customer engineering teams and collaborate across research, product, and engineering groups.

Responsibilities

• Clarify customer needs, scope applied ML projects, and turn requirements into technical plans.
• Integrate, profile, and optimize inference to meet targets for latency, throughput, memory, power, cost, and reliability.
• Build supporting systems such as data pipelines, evaluation workflows, serving components, and reference implementations.
• Adapt or post-train models when the use case calls for it, then validate results with careful evaluation and error analysis.
• Share field findings with product and engineering teams and develop reusable deployment approaches.
• Travel occasionally within Japan and to the United States or relevant conferences.

Requirements

• Ability to lead technical work from discovery and implementation through validation and deployment.
• Experience translating ambiguous customer problems into practical engineering plans.
• Strong applied ML judgment that accounts for privacy, maintainability, compute, latency, and memory constraints.
• A rigorous approach to baselines, profiling, evaluation, and diagnosing errors.
• Clear communication and collaboration across customer teams and globally distributed colleagues.

Benefits and work setup

Primarily remote for candidates based in Japan, with typical in-person collaboration at a Tokyo office once or twice a week. Working hours are flexible, with coordination across Japan-based customers and colleagues in other time zones. The role offers close collaboration with core research and engineering teams, mentorship and career development, unlimited paid time off, salary, equity, and standard employee benefits in Japan.