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Machine Learning Engineer jobs in United States
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Red Oak Technologies · 12 hours ago

Machine Learning Engineer

Red Oak Technologies is a trusted partner in the tech industry, specializing in delivering innovative talent solutions. They are seeking a Machine Learning Engineer focused on Conversational AI to prototype, build, and ship AI systems while collaborating with cross-functional teams to create scalable solutions.
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Growth Opportunities
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H1B Sponsor Likelynote
Hiring Manager
Thomas Nacnodovitz
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Responsibilities

Machine Learning Engineer to help prototype, build, and ship conversational and generative AI systems that feel deeply human, responsive
Design, prototype, and deploy ML-driven features that power conversational and generative experiences
Work hands-on with modern model architectures; ranging from large language and multimodal models to ranking and personalization system and integrate them into production frameworks used at scale
Work at the intersection of machine learning research and product engineering—rapidly iterating on new ideas, translating them into scalable systems, and partnering closely with cross-functional teams to bring them to life. You’ll contribute to foundational capabilities that power conversational understanding, generation, personalization, and embodied interactions
Collaborate closely with researchers, product managers, designers, and platform engineers to align on problem definitions
Iterate on solutions, and ship features that meet standards for reliability, privacy, and delight
Design and implement ML models and algorithms for conversational understanding, generation, and personalization
Rapidly prototype and evaluate new model architectures, prompting strategies, and fine-tuning approaches
Translate research ideas into production-ready systems, collaborating across teams to ensure smooth integration
Contribute to end-to-end ML pipelines, from data exploration and model training to deployment and evaluation
Write clean, maintainable, and well-tested code that meets production standards
Participate in architecture discussions, design reviews, and peer code reviews
Help shape technical direction and contribute to roadmaps for next-generation AI capabilities

Qualification

Deep learningNatural language processingPythonGenerative AI systemsConversational AI systemsML frameworksModel integrationEvaluation expertiseCommunication skillsCollaboration

Required

PhD +3yrs or MS + 5yrs relevant experience in related field (AI, ML, CS, EE etc.)
Experience with deep learning, particularly in natural language processing and/or multimodal models
Hands-on experience with modern generative AI systems and computer vision models, including prompt design, fine-tuning, and evaluation
Familiarity with ranking, retrieval, and personalization algorithms
Proficiency in Python and experience with ML frameworks such as PyTorch (TensorFlow a plus)
Experience integrating ML models into production systems
Strong communication skills and the ability to collaborate across disciplines
Experience with conversational AI systems or interactive ML-driven experiences
Exposure to multimodal or embodied AI systems (voice, animation, agents, or real-time interaction)
Familiarity with various platforms, frameworks, or ML infrastructure
Evaluation based measurement expertise using eval frameworks to measure non-deterministic experiences for consumer facing products

Company

Red Oak Technologies

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Red Oak Technologies is a staffing and recruiting company offering IT, marketing, and finance recruitment services.

H1B Sponsorship

Red Oak Technologies has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (13)
2024 (34)
2023 (19)
2022 (14)
2021 (24)
2020 (29)

Funding

Current Stage
Late Stage

Leadership Team

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Joel Leege
President & COO
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Company data provided by crunchbase