[Remote] Senior Machine Learning Engineer at Replicant

United States

Replicant Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Contact Center Automation, AIIndustries

Skills

Key technologies and capabilities for this role

PythonPyTorchFaissElasticsearchLarge Language ModelsGenerative AIML infrastructureML toolingML productsCommunicationProblem-SolvingTeam Collaboration

Questions & Answers

Common questions about this position

Is this position remote?

Yes, this is a remote position.

What is the salary for this Senior Machine Learning Engineer role?

This information is not specified in the job description.

What skills and experience are required for this role?

Candidates need 5+ years of software development experience in ML infra, ML tooling, or products with ML usage, preferred experience with the ML ecosystem like Python, PyTorch, Faiss, and Elasticsearch, plus excellent communication skills, independent problem-solving, and passion for engineering and team culture.

What is the company culture like at Replicant?

The role involves setting the team's strategic direction and fostering innovation and professional growth, with emphasis on passion about engineering and team culture.

What makes a strong candidate for this position?

Strong candidates have 5+ years in ML-related software development, experience with tools like Python and PyTorch, excellent communication, independent problem-solving skills, and a passion for engineering, team culture, and conversational AI nuances.

Replicant

AI-powered customer service solutions provider

About Replicant

Replicant provides AI-powered customer service solutions designed for businesses with high call volumes, such as restaurants and retail companies. Their platform operates in the cloud and integrates with existing systems like IVR, CCaaS, and CRM, allowing businesses to authenticate callers and resolve issues efficiently. Replicant's pay-as-you-go pricing model enables companies to adjust their customer service capacity based on demand, making it ideal for handling seasonal fluctuations. The platform is available 24/7, which helps eliminate wait times and enhances customer satisfaction. Replicant stands out from competitors by offering seamless integration with various systems and a flexible pricing structure, aiming to improve customer service operations and overall satisfaction for its clients.

San Francisco, CaliforniaHeadquarters
2017Year Founded
$113MTotal Funding
SERIES_BCompany Stage
Consumer Software, Enterprise Software, AI & Machine LearningIndustries
51-200Employees

Risks

Emerging competitors like Observe.AI and Talkdesk are advancing rapidly.
Businesses are developing in-house AI solutions, reducing third-party dependency.
Privacy concerns and regulatory scrutiny around AI voice data are increasing.

Differentiation

Replicant offers seamless integration with IVR, CCaaS, and CRM systems.
The platform provides 24/7 availability, eliminating customer wait times.
Replicant's AI understands complex speech patterns, including slang and humor.

Upsides

Voice AI is increasingly used to enhance customer service experiences.
AI-driven solutions are expanding into industries like healthcare and finance.
Demand for 24/7 customer service solutions is rising globally.

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