Corporate Development Jobs

About the Team The Foundations Research team works on high-risk, high-reward ideas that could shape the next decade of AI. Our goal is to advance the science and data that enable our training and scaling efforts, with a particular focus on future frontier models. Pushing the boundaries of data, scaling laws, optimization techniques, model architectures, and efficiency improvements to propel our science. The Search team sits within Foundations, building agentic search by co-designing model–system interfaces with the core search stack (serving, indexing, retrieval) to translate model intent into reliable, real-world actions. Operating at the frontier of AI and information retrieval, the team develops large-scale systems that transform and index vast corpora, enabling models to reason over global knowledge and act dependably. In close partnership with researchers, we rapidly bring modeling breakthroughs into production and redefine how intelligent systems discover, retrieve, and synthesize information at planetary scale. About the Role We’re looking for a researcher focused on our search efforts. You’ll work with a a team of world-class research scientists and engineers developing foundational technology that enables models to retrieve and condition on the right information, at the right time. This includes designing new embedding training objectives, scalable vector store architectures, and dynamic indexing methods. This work will support retrieval across many OpenAI products and internal research efforts, with opportunities for scientific publication and deep technical impact. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Responsibilities Tackle embedding models and retrieval systems optimized for grounding, relevance, and adaptive reasoning. Collaborate with a team of researchers and engineers building end-to-end infrastructure for training, evaluating, and integ

- Maintain repair adjust and replace the entire plumbing system including waste-vent-water piping valves and the various fixtures and equipment served by this system. - Perform visual inspections for the detection of abnormal operation and correction of deficiencies. - Receive work orders and coordinate work to fit schedule as assigned by Supervisor/Manager. - Estimate time and materials required on work order. - Maintain work area and equipment in a clean and orderly condition following prescribed safety regulations. - Respond to calls from facility departments requesting immediate assistance for plumbing problems. - Respond to emergency call-in situations. - Cooperate with members of the department and facility on all emergency conditions regarding internal customers visitors and staff. - Perform preventive maintenance on related equipment assigned by the Supervisor. - Have necessary stock and tools in order to maintain repair or replace malfunctioning equipment. - Coordinate with other departmental employees on diversified work projects. - Make daily rounds of building and related equipment as assigned by Supervisor. Address: TVS Motors Company Ltd., Post Box No.4, Harita, Hosur, Tamil Nadu-635109 Facility: TVS - B'LORE Experience: 3 - 5 years Source: Sodexo India | Job Code: IJP576021

About the Role We are building a new class of clinical-grade AI agents powered by a foundational model that unifies 3D volumetric medical data and textual reasoning . These agents will assist with radiology workflows, treatment planning, case summarization, longitudinal patient analysis, and human-in-the-loop clinical decision support. In this role, you will design the agent layer that transforms a powerful multimodal foundation model into a safe, reliable, adaptive medical assistant capable of analyzing 3D scans, retrieving past cases, explaining findings, and coordinating multi-step reasoning chains. This position is ideal for researchers from multimodal/VLM/CLIP ecosystems who want to move up the stack into autonomous medical reasoning , multimodal alignment, and real-world clinical impact. What You Will Work On Architect LLM-driven medical agents capable of: Reading & interpreting 3D medical volumes (MRI, CT, PET). Answering radiology questions, generating report drafts, and performing differential reasoning. Retrieving similar prior cases using contrastive embeddings. Synthesizing multi-instance evidence across scans, labs, and notes. Executing multi-step “clinical workflows”—image → analysis → summary → recommendation. Integrate clinical agents with the 3D foundation model’s representations, enabling structured medical reasoningand contextual memory across longitudinal data. Develop evaluation frameworks for trustworthiness, interpretability, calibration, and clinical safety. Collaborate with clinicians and scientists to co-design tasks, datasets, and validation protocols. Benchmark models against open and proprietary datasets: MIMIC, CheXpert, MosMed, LiTS, BraTS, and India-specific clinical corpora. Publish findings at top-tier venues (MICCAI, NeurIPS, AAAI, EMNLP). Work with regulatory and product teams to translate research into medically viable systems. Why This Role Appeals to CLIP / VLM / Chitrarth / Patram Authors A rare opportunity to work at the

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. Job Description: 1.Primarily focused on the prevention of accidents, incidents, and events that harm people, property. 2.Responsible for safety and health management; to comply and support safety and healthy activities of legal requirement and company requirements, guidelines and standard. Responsibilities and Tasks: 1.To develop the EHS standard by Micron Policy and legal requirement. 2.Ensure all the operation onsite in accordance with legal requirement. 3.Leading and participating in ISO45001, TOSHMS operation. 4.Conducting accident and incident investigations and identify controls to prevent their reoccurrence. 5.Developing, suggesting and conducting health and safety training. 6.Conducting construction safety management. 7.Conducting dangerous workplace management and process safety assessment. 8.Conducting management of change. 9.Conducting Risk management. 10.Conducting contractor management. 11.Conducting high-risk work management. 12.Conducting semiconductor equipment safety management. 13.Developing and conducting lockout-tagout system. 14.Responsible for government document application. 15.To cooperate with EHS activities. Education/Experience/Qualifications: 1.College or university degree and Industrial Safety/ Health engineering related. 2.Have Safety/ Health engineering related work experience more than 1-3 years. 3.Occupational Safety / Health Specialist or Occupa

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: As a Senior Member of Technical Staff specializing in web data for pre-training, you will play a pivotal role in developing the large scale web data pipeline that underpins Cohere’s advanced language models. In this role, you will work extensively with large-scale web corpora, transforming raw, noisy internet data into high-quality training data for pretraining. You will own key components of the data pipeline, including extraction, parsing, deduplication, and filtering. You will also analyze the composition and quality of web data, study its impact on downstream model performance, and collaborate closely with the broader data and evaluation teams to iterate on the training corpus. Your work will be essential to Cohere’s mission of delivering efficient and reliable language understanding and generation capabilities, driving innovation in natural language processing. If you are passionate about transforming data into the foundation of AI systems, this role offers a unique opportunity to make a meaningful impact. Please Note: We have offices in London, Paris, Toronto, San Francisco and New York but also embrace bein