Machine Learning Engineer (Fully Remote)

Replicant; United States; Remote; USD 180,000 - 240,000; Full time

Job summary

Replicant is seeking a Lead ML Engineer to spearhead LLM and Generative AI exploration for its core products. You will turn cutting-edge research into scalable, production-grade ML systems and work closely with product and engineering teams to deploy solutions that meet business goals.

The role emphasizes building robust ML infra in a fast-paced environment, with emphasis on collaboration and delivering measurable AI impact across customer-service applications.

Qualifications

• 5+ years in ML infra, tooling, or products with ML usage.
• Strong programming experience in Python and ML frameworks.
• Experience turning research into production-grade ML systems.

Responsibilities

• Lead LLM and Generative AI exploration for core products.
• Turn latest research into high-performing, practical ML systems.
• Collaborate across teams to deploy ML solutions aligned with business goals.

Skills

ML infra experience

Python

PyTorch

Elasticsearch

FAISS

Tools

Python

PyTorch

FAISS

Elasticsearch

Job description

• Lead LLM and Generative AI exploration for core products.
• Turn latest research into high-performing, practical ML systems.
• Collaborate across teams to deploy ML solutions aligned with business goals.

What you'll bring:

• 5+ years in ML infra, tooling, or products with ML usage.
• Experience with Python, PyTorch, FAISS, Elasticsearch.
• Excellent communication and love for ambiguous technical challenges.

Our values:

• Blade Runners: take ownership, communicate openly, and drive results.
• Bread Makers: humble, collaborative, and egalitarian.
• Självdistans: self-distance, objectivity, and openness to feedback.

Replicant

Replicant is the industry leader in voice AI for customer service, providing automated phone bots for enterprises like AAA and Fanatics. Founded in 2017, the company is backed by top-tier Silicon Valley investors, has offices in the SF Bay Area, Toronto, and New York, and maintains a distributed team across the US and Canada.