Senior Machine Learning Engineer

Replicant · Remote · United States · Canada ·
Fully remoteFull-timeSenior5+ years
COMPENSATION
$170k – $210k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Senior level role
  • Fully remote (US/Canada)
  • Generative AI & LLMs
  • Python & PyTorch stack
  • Equity compensation

Replicant uses voice AI to automate customer service interactions, allowing over half of callers to resolve issues without human assistance. As a Senior Machine Learning Engineer, you will apply the latest research in Generative AI and NLP to enhance these conversational experiences.

You will join a distributed team working on complex enterprise automation scenarios. The role involves translating academic research into high-performing systems that scale securely and deliver tangible business results for major clients.

What you'll do

  • Lead exploration and application of Large Language Models and Generative AI
  • Translate latest research into practical, high-performing systems and models
  • Help set strategic direction and foster an innovative team environment
  • Engage in full development lifecycle from ideation to deployment
  • Collaborate with product managers to optimize ML solutions for business goals

What you'll need

  • 5+ years of software development experience in ML infra or products
  • Experience with ML ecosystem tools like Python, PyTorch, Faiss, or Elastic Search
  • Excellent communication skills and ability to tackle ambiguous problems
  • Independent thinker who enjoys owning and solving complex technical challenges
  • Interest in the nuances and aesthetics of human conversation

Stack

  • Python
  • PyTorch
  • Faiss
  • Elastic Search
  • Large Language Models
  • Generative AI

How you'll work

  • Fully remote by design for US and Canada based employees
  • Distributed team with flexibility to manage your own calendar
  • Company-wide offsites and smaller team gatherings for connection

What you get

  • Competitive salary and equity with upside potential
  • Tech and learning stipend for conferences, books, and courses
  • Comprehensive health and wellness benefits
  • Flexible vacation policy and paid sabbatical after five years
  • Stipend for physical and mental well-being support