Applied AI Scientist

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Role Details

Company: US-based enterprise AI company

Location: San Francisco, California

Employment Type: Full-time

Work Arrangement: In-office

Salary: $170,000–$300,000

Experience: 3–8 years preferred

Visa Sponsorship: H-1B transfers possible; OPT considered on a case-by-case basis

Company Size: Approximately 20 employees

About the Company

An enterprise AI company developing custom AI models to solve complex prediction and optimisation challenges for businesses. Its technology focuses on applying advanced machine learning to supply chain forecasting and other enterprise decision-making problems.

The company is backed by leading venture capital investors and has a founding team with experience across major technology companies, AI research, and enterprise software.

About the Role

The company is hiring an Applied AI Scientist to work at the intersection of machine learning, data science, and customer engagement.

This is a technical, customer-facing role focused on applying AI to real-world business problems. You will work directly with enterprise customers to understand their needs, develop data-driven solutions, and demonstrate measurable business impact.

As part of a newly expanding Applied AI team, you will have the opportunity to shape how the function develops and help deploy AI solutions for large enterprise customers.

Responsibilities

• Develop ML and data science solutions for enterprise forecasting and optimisation.

• Work with customers to translate business challenges into technical solutions.

• Analyse data and build models using Python, SQL, and ML tools.

• Manage projects end to end, from problem definition to deployment.

• Present technical insights and demonstrate business impact to stakeholders.

• Collaborate with leadership to build and scale the Applied AI team.

Requirements

• Bachelor's degree or higher in a STEM, quantitative, or related technical discipline.

• Strong foundations in data science, machine learning, and statistical analysis.

• Proficiency in Python and SQL.

• Experience managing technical projects and engaging directly with customers.

• Strong analytical thinking and the ability to solve ambiguous business problems.

• Excellent communication and stakeholder management skills.

• Ability to connect technical solutions with measurable business outcomes.

Benefits

• Health, dental, and vision insurance.

• 401(k) retirement plan.

• Commuter benefits.

• Unlimited paid time off.

Interview Process

• Initial screening.

• Technical take-home assessment.

• Demo interview.

• Business impact presentation.

• Final evaluation and offer.