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AI Research Engineer (Applied AI) jobs in United States
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Bright Vision Technologies · 1 month ago

AI Research Engineer (Applied AI)

Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We are seeking an AI Research Engineer to bridge cutting-edge applied research and production engineering, designing and shipping advanced machine learning systems that solve high-impact business problems.
Artificial Intelligence (AI)Cyber SecurityInformation TechnologySoftware
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Responsibilities

Design, prototype, and evaluate applied AI solutions across natural language, vision, recommendation, and structured data domains
Translate ambiguous business problems into well-scoped ML formulations with clear success metrics and evaluation strategies
Stay current with the latest research in deep learning, large language models, and adjacent areas, and assess applicability to internal use cases
Implement rigorous experimentation workflows including baselines, ablations, and statistically sound evaluation methodology
Build production-quality training and inference pipelines using modern ML frameworks and orchestration tools
Collaborate with ML platform engineers to ensure efficient use of compute, storage, and accelerator resources
Optimize models for accuracy, latency, throughput, and cost based on production requirements
Develop tooling for dataset construction, labeling, validation, and ongoing monitoring of data quality
Partner with product, design, and domain experts to ensure model behavior aligns with user needs and policy requirements
Implement safety, fairness, and reliability evaluations and incorporate findings into model selection decisions
Document research findings, design decisions, and operational characteristics clearly for both technical and non-technical audiences
Mentor engineers on applied ML methodology, evaluation rigor, and responsible deployment
Contribute to internal knowledge sharing, reading groups, and prototype-to-production playbooks
Influence the broader AI roadmap based on research insight, capability gaps, and emerging opportunities

Qualification

PythonPyTorchJAXMachine LearningDeep LearningDistributed TrainingMixed-Precision TrainingAccelerator HardwareMathematicsStatisticsModel EvaluationLarge Language ModelsApplied AIResearch Literature EvaluationProduction ML Pipelines

Required

Master's or PhD in Computer Science, Machine Learning, Statistics, or a closely related field; or equivalent applied experience
Six or more years of combined research and applied ML engineering experience
Strong proficiency in Python and modern ML frameworks such as PyTorch or JAX
Hands-on experience training, fine-tuning, and evaluating deep learning models at non-trivial scale
Solid grounding in mathematics, statistics, and the theoretical foundations of modern ML
Experience taking ML models from research prototype to production with appropriate observability and safeguards
Familiarity with distributed training, mixed-precision training, and accelerator hardware
Strong written and verbal communication skills, including ability to explain complex methods clearly
Demonstrated ability to read, evaluate, and adapt techniques from current research literature
Track record of shipping impactful applied AI projects

Preferred

Published research at top-tier AI/ML venues
Experience with large language model training, fine-tuning, or evaluation
Familiarity with retrieval-augmented generation, agentic systems, or multimodal architectures
Exposure to responsible AI, model evaluation, and alignment practices
Experience contributing to open-source ML projects

Benefits

Competitive base salary commensurate with experience, plus benefits.
100% remote
Full-time, direct W2 with Bright Vision Technologies (no C2C, no 1099, no third-party)
Support H1B transfers for qualified candidates.

Company

Bright Vision Technologies

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Bright Vision Technologies is an information technology company that offers software development, AI, and cybersecurity services.

Funding

Current Stage
Growth Stage
Company data provided by crunchbase