Machine Learning/Computer Vision Research Scientist at Hitachi America, Ltd.

Apply for the Machine Learning/Computer Vision Research Scientist role at Hitachi America, Ltd. (Santa Clara, CA). Advance industrial AI, develop few-shot learning models, file patents, and publish in top venues.

About the Company: Hitachi America, Ltd.

Hitachi America, Ltd. is a leading provider of advanced technology, industrial equipment, and social innovation solutions across the Americas. As a subsidiary of Hitachi, Ltd., the company is dedicated to driving digital transformation and sustainability by merging operational technology (OT) with cutting-edge information technology (IT) to optimise high-value enterprise asset performance.

This premier scientific position is situated within the Regional Headquarters R&D Division at Hitachi’s state-of-the-art Silicon Valley innovation laboratory in Santa Clara, California. This specialised R&D core is responsible for pioneering Next-Gen Industrial AI paradigms, safeguarding foundational intellectual property, and spearheading co-innovation initiatives that translate advanced scientific hypotheses into commercialised software architectures for smart factories, digital healthcare, and the Internet of Things (IoT).

About the Role: ML/CV Research Scientist (Industrial AI)

Are you an elite scientific researcher eager to build deep learning frameworks that solve complex physical-world bottlenecks? Hitachi America, Ltd. is hiring an experienced Machine Learning/Computer Vision Research Scientistfor its flagship R&D facility in Santa Clara, CA. This highly collaborative, full-time engineering track is designed for autonomous researchers holding a PhD degree plus 2 years of advanced experience who excel at formulating mathematical hypotheses, publishing peer-reviewed breakthroughs, and architecting production-grade machine learning models.

As a Research Scientist, you will drive the development of state-of-the-art Generative AI and foundational Computer Vision models tailored for data-scarce enterprise networks. Your daily focus will transcend standard application development; you will design novel algorithms for few-shot learning, object tracking, and cross-modal identification within the industrial domain. Partnering directly with enterprise clients via co-innovation workshops, you will map raw physical data to robust mathematical formulations, build proof-of-concepts using PyTorch and TensorFlow, protect Hitachi’s global IP portfolio through patent filings, and publish original findings in world-class AI venues.

Key Responsibilities & Advanced Scientific Workflows

• Algorithmic Research & Deep Learning Design: Research, prototype, and scale advanced deep learning and computer vision architectures for custom industrial operations (including identification, few-shot tracking, and image comparison).

• Mathematical Formulation & Hypothesis Testing: Translate ambiguous corporate challenges into precise mathematical models, creating codebases to systematically test, refine, and validate experimental hypotheses.

• Co-Innovation & Strategic Discovery: Lead technical deep-dives with global enterprise clients to extract operational data constraints, align data distributions, and continuously refine solutions against deployment benchmarks.

• Intellectual Property & Patent Generation: Safeguard Hitachi’s market position by transforming novel algorithmic discoveries into comprehensive patent applications and defensive disclosures.

• Academic Publication Leadership: Write, review, and publish original research findings in elite peer-reviewed journals and international conference venues (e.g., CVPR, ICCV, NeurIPS, ICLR).

• Production Deployment Cross-Over: Partner closely with internal software engineering and operations squads to convert successful laboratory proofs-of-concept into scalable, enterprise-ready software pipelines.

• Multi-Modal AI Integration: Explore and integrate bleeding-edge Generative AI and Natural Language Processing (NLP) models to accelerate cross-domain automation for Smart Industry systems.

Candidate Prerequisites & Technical Skill Stack

Successful candidates must combine a rigorous, world-class academic research background with practical, high-velocity programming capabilities in production-level frameworks.

Required Education & Core Experience Baseline:

• Academic Credentials: PhD degree or equivalent in Computer Science, Computer Engineering, Electrical Engineering, or a highly related quantitative, research-driven field.

• Professional Tenure: Minimum of 2 years of dedicated post-graduate or combined industrial research experience specialising in Machine Learning, Deep Learning, or Computer Vision domains.

• IP Track Record: Demonstrated experience in authoring peer-reviewed scientific publications in leading AI venues or actively filing technical inventions for patents.

Core Technical Stack Proficiencies:

• Deep Learning Frameworks: Expert, hands-on command of deep learning libraries and frameworks, specifically PyTorch, TensorFlow, or scikit-learn.

• Data Science Programming: Advanced programming fluency in Python or R, paired with a deep understanding of standard scientific computing and manipulation packages.

• Systems Programming Languages: Strong capability to navigate and write clean algorithms in low-level or enterprise back-end languages, including C, C++, or Java.

• Domain Expertise: Profound theoretical grasp of advanced machine learning algorithms, including Generative AI models, few-shot learning paradigms, image segmentation, and predictive temporal tracking.

Core Position Specifications

• Position Title: Machine Learning/Computer Vision Research Scientist

• Hiring Organisation: Hitachi America, Ltd.

• Corporate Work Location: 2535 Augustine Drive, 3rd Floor, Santa Clara, CA 95054 (On-Site R&D Hub)

• Job Identification: ID: R0135875

• Experience Level: Experienced Professional (PhD + 2 Years Required)

• Base Salary Allocation: $164,403 – $193,545 Per Annum (Good faith estimate for California-based hires)

• Compensation Additions: Eligible to participate in Hitachi America’s corporate variable pay program

• Employment Framework: Full-Time, Permanent Scientific Assignment

• Functional Focus: Mathematical Modelling, Few-Shot Computer Vision, Patent Authoring, and Client Co-Innovation

• Industry Placement: Industrial AI / Research & Development / Internet of Things (IoT)