ML Solution Consultant (Applied ML)

Location: New York, San Francisco, Munich or London

Salary: New York $110K–$130K; Munich €60K–€90K; London £50K–£80K. Equity and performance bonus are offered.

Company

hirify.global builds a unified AI and R&D platform that helps chemists, materials scientists, biologists, and industrial research organizations accelerate product discovery and development.

What you will do

• Partner with enterprise R&D teams to understand scientific challenges, data environments, and experimentation workflows.
• Guide customers through onboarding to ML tools, including data structuring and model configuration for their scientific context.
• Help customers interpret model outputs, apply recommendations, and build confidence in AI-driven experimentation.
• Advise researchers and R&D leaders on statistical modeling, machine learning, experimental design, and data-driven strategies.
• Translate complex ML concepts into actionable guidance and troubleshoot data quality and modeling challenges.
• Collaborate with product and engineering teams, sharing customer feedback and identifying opportunities for platform improvements.

Requirements

• Strong foundation in machine learning, statistical modeling, or applied statistics, including model evaluation and experimental design.
• Experience with R&D data, physical experimentation workflows, or scientific datasets.
• Exceptional communication skills for working with audiences ranging from bench scientists to R&D directors.
• Fluency with data science tools and environments, including Python or statistical software.
• M.S. or Ph.D. in Chemistry, Materials Science, Chemical Engineering, Physics, Data Science, or a related quantitative field.
• Experience in a customer-facing technical role such as solutions engineering, technical consulting, or pre/post-sales data science, with the ability to manage engagements independently.

Nice to have

• Experience with scientific or R&D software.
• Exposure to product development in materials, chemicals, pharmaceuticals, food science, or adjacent industries.
• Familiarity with Bayesian optimization, design of experiments, or active learning in applied settings.

Culture & Benefits

• Competitive base salary with performance bonus and meaningful equity.
• Health and dental insurance.
• 401(k) with employer contribution for US locations.
• Direct collaboration with engineering and data science teams.
• High-autonomy role with direct influence on the ML product roadmap.