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.
🌍 Remote from anywhere in the globe
Workplace, Culture & Diversity
Corporate culture is essential to allow the organization to differentiate itself. In terms of image on the one hand, it has strengths both internally and externally to consumers. It is indeed a source of cohesion and motivation of employees and it limits conflicts. With customers, it conveys a positive image and can develop a feeling of closeness to the company or even become a criterion of choice.
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