Machine Learning Engineer

**Job Title:** Senior Machine Learning Research Scientist / Research Engineer **Type:** Full\-Time – Direct Hire **Start:** Interviews Now **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.