Job Title: Senior Machine Learning Research Scientist / Research Engineer

Type: Full-Time – Direct Hire

Start: Targeting October 2025

Location: Remote (U.S.-based)

Compensation: Up to $180K + Benefits

We’re seeking a Senior Machine Learning Research Engineer who operates at a research-grade level — someone whose primary work is inventing new machine learning methods, advancing the field through original research, and selectively translating that work into production systems. This role sits within a deeply technical innovation lab focused on unstructured data, advanced modeling, and defensible intellectual property. If you’ve authored peer-reviewed ML research, contributed to patented ML methods, or created novel learning approaches that others have built upon, this role is aligned. This is not a general applied ML or product engineering role.

What You’ll Be Doing:

• Invent and evaluate novel machine learning methods
• Architectures, learning paradigms, optimization strategies, or representation frameworks
• Conduct first-principles research on unstructured and multimodal data
• Design rigorous experiments to validate novel ML ideas, including failure analysis and ablation studies
• Translate a subset of validated research into production-grade systems when appropriate
• Collaborate with senior researchers and engineers to develop defensible IP, including patents and internal research artifacts
• Author or co-author research papers, technical reports, and internal whitepapers
• Influence long-term R&D direction through original thinking and experimentation

This role emphasizes research depth and invention first — production work is secondary and selective.

Must-Haves (Non-Negotiable):

• PhD in Machine Learning, Computer Science, Statistics, Applied Mathematics, or a closely related field
• 5+ years of experience post-PhD working on research-level or research-driven ML problems
• Demonstrated proof of original ML innovation, such as:
• Peer-reviewed publications with meaningful citations
• Patents or patent-pending ML methods
• Novel architectures, algorithms, or learning frameworks
• Deep experience with modern ML architectures (e.g., Transformers, generative models, representation learning)
• Strong proficiency in Python and at least one systems language (C++ or Java)
• Ability to take ideas from theory → experimentation → defensible implementation
• U.S.-based professional experience strongly preferred

You’ll Stand Out If You…

• Have authored or co-authored highly cited machine learning research
• Have contributed to patents or protected intellectual property in ML
• Have experience in research labs or innovation-driven R&D teams (academic or industrial)
• Have created new datasets, benchmarks, or evaluation methodologies used by others
• Can clearly articulate what is novel about your work — and why it matters
• Have demonstrated long-term ownership of complex research efforts
• Thrive in ambiguous problem spaces where solutions must be invented, not assembled

This is a full-time role with competitive compensation and benefits.