Machine Learning Research Engineer
Posted about 20 hours ago
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: Machine Learning Research Engineer
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $100,000–$150,000 Annually
Experience Required: 6+ years
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.
Job Summary
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. The role blends scientific rigor with practical software engineering, requiring deep understanding of modern ML and deep learning techniques alongside the ability to build robust, scalable, and well-instrumented production pipelines. The ideal candidate stays current with the rapidly evolving AI research landscape, can critically evaluate new techniques for real-world applicability, and is comfortable operating across the full lifecycle from problem framing and experimentation to deployment and continuous improvement.
Key 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.
- 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.
- 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.
Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] or contact us at (908) 505-3544. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer.
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Bright Vision Technologies is a minority-owned, product-focused AI technology company headquartered in Bridgewater, New Jersey. Founded in July 2020, we are a pure-play product engineering firm dedicated to transforming the staffing and enterprise automation industries through our flagship platform — Lumina. Lumina is an advanced AI-powered talent intelligence and enterprise automation platform that integrates artificial intelligence, hybrid cloud, and blockchain technologies to revolutionize how organizations source talent and automate complex workflows. What Lumina delivers: - AI-driven candidate sourcing, semantic resume matching, and intelligent ranking - Generative AI and Large Language Model orchestration with LangChain and RAG-based architecture - Automated recruiter assistant and workflow automation - Blockchain-enabled credential verification and tamper-proof digital identity - Advanced optimization for talent supply chain, workforce planning, and resource allocation - Enterprise-grade security with role-based access, encryption, and comprehensive audit logging - Seamless integration with CRM, ERP, HRMS, ATS, and legacy enterprise systems Built on a scalable microservices architecture with cloud-native deployment across AWS, Azure, GCP, and Red Hat OpenShift, Lumina is trusted by enterprises across financial services, healthcare, manufacturing, and retail — delivering efficiency improvements of 40–60% and measurable ROI within the first quarter of deployment. At Bright Vision, we are building the future of AI-powered talent intelligence — with a strong commitment to innovation, enterprise security, and U.S.-based job creation in AI engineering, product development, and go-to-market functions. Learn more at www.bvteck.com
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