Research Engineer at Decagon

San Francisco, California, United States

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$180,000 – $270,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI & Machine LearningIndustries

Skills

Key technologies and capabilities for this role

AIMLAI/ML engineeringAI solutionsAI modelsProduction environments

Questions & Answers

Common questions about this position

What is the salary range for the Research Engineer position?

The salary range is $180K - $270K.

Is this role remote or does it require office work?

This information is not specified in the job description.

What skills and experience are required for this role?

Candidates need 5+ years of experience in AI/ML engineering, a proven track record of working on AI/ML projects from concept to production, and experience with deploying AI models in production environments.

What is the company culture like at Decagon?

This information is not specified in the job description.

What makes a strong candidate for this Research Engineer role?

Exceptional candidates with strong spikes and a background of high achievement are emphasized, particularly those passionate about AI, tackling complex problems, and building AI products with large tech enterprises.

Decagon

Generative AI solutions for customer support

About Decagon

Decagon.ai provides generative AI solutions designed to improve customer support and operational efficiency for various clients, from large enterprises to growing startups. Their tools automate complex data processes, helping businesses identify themes, detect anomalies, and extract valuable insights from customer interactions. The AI-powered assistance offered by Decagon.ai takes care of routine tasks and learns from human agents, which boosts productivity and enhances customer satisfaction. Unlike many competitors, Decagon.ai focuses on deeply integrating its scalable solutions with clients' internal systems, ensuring smooth automation and support. The company operates on a subscription-based model, allowing clients to access their AI tools and support services. Notable clients include Bilt, Fourthwall, and Vanta, who utilize Decagon.ai's technology for automating ticketing, supporting creators, and improving pre-sales processes.

San Francisco, CaliforniaHeadquarters

2023Year Founded

$97.3MTotal Funding

SERIES_BCompany Stage

Data & Analytics, Enterprise Software, AI & Machine LearningIndustries

51-200Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Unlimited Paid Time Off

Meal Benefits

Risks

Increased competition from AI giants like OpenAI and Google threatens Decagon's market share.

Over-reliance on key clients like Bilt and Vanta poses a potential business risk.

Rapid technological advancements could render Decagon's solutions obsolete without continuous innovation.

Differentiation

Decagon.ai offers AI solutions that enhance customer support and operational efficiency.

Their AI-powered agent assistance handles mundane tasks, improving productivity and satisfaction.

Decagon.ai's tools automate complex data processes, unlocking valuable insights from interactions.

Upsides

Increased demand for AI-driven customer support solutions enhances Decagon's market potential.

Growing interest in AI automation tools boosts Decagon's client acquisition opportunities.

Shift towards subscription-based AI services aligns with Decagon's scalable business model.

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