Remote Senior Machine Learning Engineer

Description:

• Replicant is a leader in Contact Center Automation, focusing on transforming customer service through AI and complex conversations.
• The company helps automate common customer service calls, allowing agents to address more complex challenges.
• Replicant's AI platform enables natural conversations across various channels, providing 24/7 customer support.
• The Machine Learning team is responsible for creating effective conversations and resolutions through contact center automation.
• The role involves leading the exploration of Large Language Models (LLMs) and Generative AI, translating research into practical applications.
• Responsibilities include setting strategic direction, fostering innovation, and collaborating with teams to implement ML solutions.

Requirements:

• Candidates must have 5+ years of software development experience in ML infrastructure, tooling, or products utilizing ML.
• Experience with the ML ecosystem, including Python, PyTorch, Faiss, and Elastic Search, is preferred.
• Excellent communication skills and a vivid imagination are essential.
• A passion for engineering and team culture is required.
• Candidates should enjoy tackling ambiguous technical problems and developing impactful solutions.
• Independent thinking and ownership of complex problem-solving are necessary.
• An interest in the nuances and aesthetics of conversations is important.

Benefits:

• The position offers a remote working environment that respects time zone differences.
• Employees receive highly competitive salaries, equity, and a 401(k) plan for US employees.
• Top-tier healthcare benefits, including medical, vision, and dental coverage, are provided.
• Health and wellness perks are included.
• An equipment stipend is available for employees.
• The company has a flexible vacation policy.
• Employees can participate in team trips and offsites, with unique experiences such as baking bread with the CEO.
• After 4.5 years of service, employees are eligible for a 5-week sabbatical.