Senior Applied ML Engineer – Enterprise Recommendation Systems

Liquid AI; Boston (MA); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Real ML work

Equity in unicorn-stage company

Health premiums for employees and deps

401(k) matching up to 4%

Unlimited PTO

Refill Days

Job summary

Liquid AI is seeking an experienced applied ML leader to own enterprise recommendation engagements end-to-end, from requirements to delivery and evaluation. You will adapt and deploy large-scale sequential models for customers, building reusable tooling and workflows to accelerate future engagements.

You will reason about user interaction data, model latency, and business impact, translating customer metrics into technical decisions and delivering measurable value in production environments.

Qualifications

• Must own enterprise recommendation engagements end-to-end, from requirements through delivery and evaluation.
• Strong ability to reason about user interaction data, sequential modeling, feature engineering, and evaluation at scale.
• Demonstrated pragmatism, optimizing for measurable customer outcomes (engagement, revenue lift).
• Excellent ability to translate customer metrics into technical decisions and communicate with stakeholders.

Responsibilities

• Act as the technical owner for enterprise customer engagements involving recommendation and ranking workloads
• Translate customer requirements into concrete specifications for recommendation models
• Design and execute data pipelines for user interaction data, feature engineering, and training data curation at scale
• Fine-tune and adapt large-scale sequential recommendation models for customer-specific use cases
• Design task-specific evaluations for model performance (ranking quality, latency, throughput) and interpret results
• Build reusable applied tooling and workflows to accelerate future engagements

Skills

Ownership mindset

Scalability thinking

Communication skills

Python

PyTorch

Tools

HSTU architectures

SASRec

Job description

Liquid AI is seeking an experienced applied ML leader to own enterprise recommendation engagements end-to-end, from requirements to delivery and evaluation. You will adapt and deploy large-scale sequential models for customers, building reusable tooling and workflows to accelerate future engagements.

You will reason about user interaction data, model latency, and business impact, translating customer metrics into technical decisions and delivering measurable value in production environments.