Role Description We are seeking a Machine Learning Engineer (3–5+ years of experience) to help design, build, evaluate, and deploy advanced machine learning systems across a range of safety, security, and intelligence applications. This role spans the full ML lifecycle, from dataset development and experimentation to model training, evaluation, deployment, and monitoring. You will work both independently and collaboratively across projects involving multimodal classification systems, frontier model evaluations, model distillation research, and agentic workflows. The ideal candidate combines strong engineering fundamentals with a research mindset and enjoys tackling ambiguous, high-impact problems at the frontier of AI. You will collaborate closely with researchers, software engineers, red teamers, and subject-matter experts to develop production-ready systems that support leading AI organizations and technology companies. - Design, train, evaluate, and deploy machine learning models across text, image, audio, and multimodal domains. - Develop and improve classification systems for safety, security, abuse detection, and intelligence applications. - Conduct experiments to benchmark, evaluate, and compare AI models, including large language models and multimodal systems. - Contribute to model distillation, optimization, and fine-tuning efforts to improve performance, efficiency, and deployability. - Design evaluation pipelines, metrics, and testing frameworks to measure model capabilities, reliability, and safety. - Build agentic systems and automated workflows for evaluation, red teaming, research, and large-scale experimentation. - Own ML projects from initial research and prototyping through production deployment and monitoring. - Partner with software engineers to productionize ML systems and support ongoing improvements. - Provide technical expertise and guidance across client engagements and internal research initiatives. Qualifications - Brings curiosity, creativity, and rigor to ambiguous research and engineering problems, with a bias toward experimentation and rapid iteration. - Thrives in collaborative, interdisciplinary environments while also being comfortable independently driving projects to completion. - Communicates technical concepts clearly to both technical and non-technical audiences. - Is resourceful, proactive, and comfortable operating in a fast-moving startup environment. - Is excited about developing novel approaches that advance the state of AI safety, evaluation, and security. Requirements - 3–5+ years of professional experience building and deploying machine learning systems. - Strong proficiency in Python and modern machine learning frameworks such as PyTorch and/or TensorFlow. - Experience working across multiple modalities, with expertise in one or more of: - Computer Vision: image classification, object detection, OCR, segmentation, deepfake detection, multimodal vision-language systems, or related areas. - Natural Language Processing: LLMs, text classification, information extraction, retrieval systems, speech-to-text, agentic applications, or related areas. - Experience training, fine-tuning, evaluating, and deploying machine learning models in production environments. - Experience designing evaluation methodologies, benchmarking systems, and model performance metrics. - Experience with MLOps tools and practices (Docker, Kubernetes, CI/CD for ML, MLflow, etc.). - Experience with cloud platforms such as Google Cloud Platform (preferred), AWS, or Azure, including ML infrastructure, workflow orchestration, storage, and database services. - Familiarity or experience with model distillation, synthetic data generation, reinforcement learning, or AI evaluation research is strongly preferred. Benefits - Salary Range: $130K–$200K, depending on experience and location. - Bonus: Performance-based annual bonus. - Professional Development: Support for conferences, continuing education, or leadership training. - Work Environment: Fully remote, U.S.-based. - Health Benefits: Comprehensive health, dental, and vision coverage. - Time Off: Generous PTO and paid holiday schedule.

• Desenvolver, manter e otimizar pipelines de dados em ambiente Azure Databricks • Trabalhar com ingestão, transformação, tratamento e disponibilização de dados para consumo analítico ou operacional • Apoiar a modelagem e organização de dados em arquiteturas baseadas em Data Lake e Lakehouse • Desenvolver notebooks, jobs e rotinas de processamento utilizando Databricks • Integrar diferentes fontes de dados ao ambiente Azure, conforme necessidade do projeto • Colaborar com times técnicos e de negócio para entendimento dos requisitos e tradução em soluções de dados • Apoiar boas práticas de performance, governança, versionamento e documentação técnica

• Employee lifecycle automation: new hires, role changes, terminations, transfers, and leave. Eliminate the manual coordination that currently runs on emails and spreadsheets by building automated task orchestration with SLAs, escalation paths, and audit-ready logs. • Comp planning infrastructure hardening: access controls, versioning, approval workflows, and AI-assisted benchmarking across our SecureSheets environment. • Build a unified People analytics layer connecting ADP Workforce Now, Greenhouse, and Lattice into a governed data model that gives People leaders real workforce intelligence. • Performance and goals connectivity: build the data infrastructure that links performance data in Lattice to workforce decisions. • Spend your first 60 days embedded across every People sub-function, listening, mapping, and building a prioritized automation backlog that you own and execute against. • Establish logging, monitoring, and alerting infrastructure for all automations. Publish reusable modules to the Automation Hub. • Document all production automations to handoff-ready standard. Ensure every automation touching sensitive data has Legal sign-off and complies with HIPAA and PII governance requirements. • Additional duties and responsibilities as necessary.

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. 職務内容• 責任範囲： - プロセス条件およびプロセス技術の確立• 改善 - プロセス能力の向上および製造コストの削減 - プロセス管理プロジェクトの立ち上げおよび改善 - 各種半導体製造装置におけるプロセスパラメータの設定 - 新規装置• 材料の評価, 導入検討および導入計画の推進 - 異常解析および改善対応 About Micron Technology, Inc. We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all . With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities - from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_japan@micron.com Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.