Operations Engineer jobs at Kaiser Permanente - 1348 jobs

A digital health company in San Francisco is seeking a Staff Engineer for the Brain Health team. This role involves leading technical development for innovative mental wellness solutions using AI, collaborating across teams to build comprehensive therapeutic experiences. The ideal candidate has extensive software engineering experience, particularly in AI platforms, and has a strong foundation in cloud environments. The role supports both remote and in-person work, fostering an environment that values employee engagement and innovation. #J-18808-Ljbffr

Staff Machine Learning Engineer, Oncology foundation Model page is loaded## Staff Machine Learning Engineer, Oncology foundation Modellocations: Chicago: New York City: Remote - Illinois: Redwood Citytime type: Full timeposted on: Posted 30+ Days Agojob requisition id: JR202500372Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.We are seeking an experienced and highly skilled **Staff Machine Learning Engineer** with deep expertise in **large-scale multimodal model systems engineering** to join our dynamic AI team. You will play a pivotal role in designing, building, and optimizing the foundational data infrastructure that powers Tempus's most advanced generative AI models. Your work will directly enable the training and deployment of robust, production-ready multimodal systems that analyze complex data types (like **genomics, pathology images, radiology scans, and clinical notes**) to improve patient care, optimize clinical workflows, and accelerate life-saving medical research. This is a critical, high-impact position for driving the practical application of cutting-edge AI to revolutionize healthcare.****Focus:****Your primary focus will be to **a****rchitect, build, and maintain the critical data infrastructure** supporting our large multimodal generative models. This includes managing the entire lifecycle of vast datasets - from ingestion and processing of diverse training data to the integration and retrieval of extensive knowledge sources used to augment model capabilities. You will be building the data backbone that enables our AI to learn from Tempus's rich real-world evidence.****Key Responsibilities:****As a technical leader in this space, you will be:* Architect and build sophisticated data processing workflows responsible for ingesting, processing, and preparing multimodal training data that seamlessly integrate with large-scale distributed ML training frameworks and infrastructure (GPU clusters).* Develop strategies for efficient, compliant data ingestion from diverse sources, including internal databases, third-party APIs, public biomedical datasets, and Tempus's proprietary data ecosystem.* Utilize, optimize, and contribute to frameworks specialized for large-scale ML data loading and streaming (e.g., MosaicML Streaming, Ray Data, HF Datasets).* Collaborate closely with infrastructure and platform teams to leverage and optimize cloud-native services (primarily GCP) for performance, cost-efficiency, and security.* Engineer efficient connectors and data loaders for accessing and processing information from diverse knowledge sources, such as knowledge graphs, internal structured databases, biomedical literature repositories (e.g., PubMed), and curated ontologies.* Optimize data storage for efficient large scale training training and knowledge access.* Orchestrate, monitor, and troubleshoot complex data workflows using tools like Airflow, Kubeflow Pipelines..* Establish robust monitoring, logging, and alerting systems for data pipeline health, data drift detection, and data quality assurance, providing feedback loops for continuous improvement.* Analyze and optimize data I/O performance bottlenecks considering storage systems, network bandwidth and compute resources.* Actively manage and seek optimizations for the costs associated with storing and processing massive datasets in the cloud.****Required Skills and Experience:***** Master's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field. A strong academic background with a focus on AI data engineering.* Proven track record (8+ years of industry experience) in designing, building, and operating large-scale data pipelines and infrastructure in a production environment.* Strong experience working with massive, heterogeneous datasets (TBs+) and modern distributed data processing tools and frameworks such as Apache Spark, Ray, or Dask.* Strong, hands-on experience with tools and libraries specifically designed for large-scale ML data handling, such as Hugging Face Datasets, MosaicML Streaming, or similar frameworks (e.g., WebDataset, Petastorm). Experience with MLOps tools and platforms (e.g., MLflow, Kubeflow, SageMaker Pipelines).* Understanding of the data challenges specific to training large models (Foundation Models, LLMs, Multimodal Models).* Proficiency in programming languages like Python and experience with modern distributed data processing tools and frameworks.* Leadership and collaboration: + Proven ability to bring thought leadership to the product and engineering teams, influencing technical direction and data strategy. + Experience mentoring junior engineers and collaborating effectively with cross-functional teams (Research Scientists, ML Engineers, Platform Engineers, Product Managers, Clinicians). + Excellent communication skills, capable of explaining complex technical concepts to diverse audiences. + Strong bias-to-action and ability to thrive in a fast-paced, dynamic research and development environment. + A pragmatic approach focused on delivering rapid, iterative, and measurable progress towards impactful goals.****Preferred Qualifications:***** Advanced degree (PhD) in Computer Science, Engineering, Bioinformatics, or a related field.* Contributions to relevant open-source projects.* Direct experience working with clinical or biological data (EHR, genomics, medical imaging).#LI-SH1New York Pay Range - $190,000 - $230,000 USDCalifornia Pay Range - $190,000 - $230,000 USDIllinois Pay Range - $170,000 - $210,000 USDRemote - USA Range - $170,000 - $210,000 USDThe expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.Additionally, ***for remote roles open to individuals in unincorporated Los Angeles** - including remote roles-*Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.We're looking for people who can change the world.Who question the status quo and don't shy away from tough problems. For the builders who are never done building and the learners who are never done learning. We're looking for passionate people with undying curiosity. Those who want to attack one of the most challenging problems mankind has ever faced. Head on. #J-18808-Ljbffr

About Pathway At Pathway we are shaking the foundations of artificial intelligence by introducing the world's first post-transformer model that adapts and thinks just like humans. Our breakthrough architecture outperforms Transformer and provides the enterprise with full visibility into how the model works. Combining the foundational model with the fastest data processing engine on the market, Pathway enables enterprises to move beyond incremental optimization and toward truly contextualized, experience-driven intelligence. We are trusted by organizations such as NATO, La Poste, and Formula 1 racing teams. Pathway is led by co-founder & CEO Zuzanna Stamirowska, a complexity scientist who created a team consisting of AI pioneers, including CTO Jan Chorowski who was the first person to apply Attention to speech and worked with Nobel laureate Geoff Hinton at Google Brain, as well as CSO Adrian Kosowski, a leading computer scientist and quantum physicist who obtained his PhD at the age of 20. The company is backed by leading investors and advisors, including Lukasz Kaiser, co-author of the Transformer (“the T” in ChatGPT) and a key researcher behind OpenAI's reasoning models. Pathway is headquartered in Palo Alto, California. The Opportunity This is an R&D position in attention-based models. We are currently searching for 1 or 2 R&D Engineers with a strong track record in machine learning models research. This is an extremely ambitious foundational project. There is a flexible GPU budget associated with this specific project, guaranteed to be in the 7-digit range minimum. You Will perform (distributed) model training. help improve/adapt model architectures based on experiment results. design new tasks and experiments. optionally: oversee activities of team members involved in data preparation. The results of your work will play a crucial role in the success of the project. Cover letter It's always a pleasure to say hi! If you could leave us 2-3 lines, we'd really appreciate that. You are expected to meet at least one of the following criteria: You have published at least one paper at NeurIPS, ICLR, or ICML - where you were the lead author or made significant conceptual & code contributions. You have significantly contributed to an LLM training effort which became newsworthy (topped a Huggingface benchmark, best in class model, etc.), preferably using multiple GPU's. You have spent at least 6 months working in a leading Machine Learning research center (e.g. at: Google Brain / Deepmind, Apple, Meta, Anthropic, Nvidia, MILA). You were an ICPC World Finalist, or an IOI, IMO, or IPhO medalist in High School. You Are A deep learning researcher, with a track record in Language Models and/or RL (candidates with a Vision or Robotics ML background are also welcome to apply). Interested in improving foundational architectures and creating new benchmarks. Experienced at hands-on experiments and model training (PyTorch, Jax, or Tensorflow). Have a good understanding of GPU architecture, memory design, and communication. Have a good understanding of graph algorithms. Have some familiarity with model monitoring, git, build systems, and CI/CD. Respectful of others Fluent in English Bonus Points Knowledge of approaches used in distributed training. Familiarity with Triton Successful track-record in algorithms & data science contests. Showing a code portfolio. Why You Should Apply Join an intellectually stimulating work environment. Be a pioneer: you get to work with a new type of "Live AI" challenges around long sequences and changing data. Be part of one of an early-stage AI startup that believes in impactful research and foundational changes. Type of contract: Full-time, permanent Preferable joining date: Immediate. The positions are open until filled - please apply immediately. Compensation: six-digit annual salary based on profile and location + Employee Stock Option Plan. Location: Remote work. Possibility to work or meet with other team members in one of our offices: Palo Alto, CA; Paris, France or Wroclaw, Poland. Candidates based anywhere in the EU, UK, United States, and Canada will be considered. If you meet our broad requirements but are missing some experience, don't hesitate to reach out to us. #J-18808-Ljbffr

A cutting-edge AI startup is seeking R&D Engineers for groundbreaking work in attention-based machine learning models. Candidates should have a strong research background and experience in model training using PyTorch or TensorFlow. This is a full-time remote position, offering competitive salary and stock options, with the potential to impact foundational AI developments. Join us to push the boundaries of AI technology and research. #J-18808-Ljbffr

A healthier future. It's what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That's what makes us Roche. Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche's Research and Early Development organisations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximising these opportunities. The new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness this transformative power of data and Artificial Intelligence to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide. Opportunity At Roche\'s AI for Drug Discovery (AIDD) group (Prescient Design), we are revolutionizing drug discovery with cutting-edge machine learning techniques. We are seeking a highly motivated and skilled ML Infrastructure DevOps Engineer to join our growing team within Genentech Research and Early Development AI Drug Development (gRED AIDD). This role is crucial for building and maintaining the scalable and robust infrastructure that powers our machine learning initiatives. The ideal candidate will be proactive, user-facing, and possess a "get-it-done" attitude, while consistently adhering to corporate standards and best practices. Responsibilities Design, implement, and maintain scalable and reliable ML infrastructure on AWS. Automate deployment, monitoring, alerting, and operational tasks using tools like Terraform and Helm. Manage and optimize CI/CD pipelines and Git repositories for ML projects, ensuring efficient version control to support collaboration and deployment. Collaborate closely with ML engineers and data scientists to understand their infrastructure needs and provide solutions. Troubleshoot and resolve infrastructure-related issues in a timely manner. Implement and enforce security best practices for ML infrastructure. Document infrastructure designs, processes, and operational procedures. Contribute to initiatives independently as part of a team, delivering assigned outputs. Proactively identify issues and gaps, proposing ideas and suggestions for improvements. Who you are / Qualifications Proven experience in designing, deploying, and managing infrastructure on Amazon Web Services (AWS), including services such as EC2, S3, RDS, EKS, SageMaker, etc. Strong proficiency with Git and Git repository management. Hands-on experience with Terraform for infrastructure provisioning and management. Experience with Helm for deploying and managing applications on Kubernetes. Proficiency in scripting languages (e.g., Python, Bash) for automation. Excellent problem-solving skills and a strong ability to debug complex issues. Strong communication and interpersonal skills to effectively collaborate with cross-functional teams and user-facing interactions. Demonstrated ability to take initiative, anticipate needs, and drive projects to completion. Ability to thrive in a fast-paced environment and adapt to evolving requirements while adhering to corporate guidelines. Ability to write clean code with little syntax/convention feedback. Applies software engineering best practices (linting automation, unit testing, documentation, CI/CD). Familiarity with modern machine learning methods. Knowledge of and experience with high-performance computing, distributed systems, and cloud computing. Preferred Experience with MLOps platforms and tools. Familiarity with CI/CD pipelines for ML workflows. Knowledge of monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack) Relocation benefits are available for this job posting. The expected salary range for this position based on the primary location of California is $147,600 - $274,000. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below. Benefits Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company\'s policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws. If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants. #J-18808-Ljbffr

Nimble is a frontier robotics and AI company building the next era of autonomous logistics. We design, manufacture, and deploy intelligent robots that enable fast, efficient, and sustainable commerce at global scale. Our team is building generalized robot intelligence and developing the world's first generalist super-humanoid robots capable of performing all core warehouse workflows with superhuman performance. We recently closed a $106M Series C at a $1B valuation, and we are continuing to grow our world-class team. Our long-term vision is to create the Autonomous Supply Chain-reinventing how goods move through factories, warehouses, and last-mile distribution using next-generation intelligent robotic systems. Founded out of Stanford and Carnegie Mellon's top AI labs and backed by the world's most prestigious investors, Nimble's board includes iconic leaders in AI and robotics such as Marc Raibert (Founder of Boston Dynamics), Fei-Fei Li (Former Chief Scientist of AI at Google, Director of Stanford's AI lab), and Sebastian Thrun (Waymo, Founder of Google X, Kitty Hawk, and Udacity). Join us and leave your mark on the future of robotics, AI, and global commerce. Link: Introducing Nimble - Intelligent Fulfillment Robots at Scale Why Join Nimble? At Nimble, we are committed to building legendary products, a legendary team, and a legendary legacy. Join us and become part of an ambitious, humble, and resourceful culture where your work will leave a lasting impact on the future of robotics and commerce. Nimble's Core Values Be relentlessly resourceful - Challenge conventions and overcome constraints. Be legendary - Pursue excellence and craft work that inspires. Be humble - Prioritize growth, learning, and the mission over ego. Be dependable - Take ownership and deliver with integrity. Role Summary We are seeking a senior, technically savvy Simulation Validation Engineer to bridge the gap between our operational needs and the simulation platform. This is a critical technical role that uses the robotic fleet simulator as a tool for release assurance, issue triage, and strategic operational guidance. Key Responsibilities Requirement Management: Serve as the primary liaison to Operations and System Integration teams, understanding and curating complex operational and integration needs and translating them into clear, actionable robot fleet simulator requirements. Development Partnership: Collaborate with the Simulator Development Engineer to define and document the simulator development requirement document. Release Assurance & Quality Gate: Analyze simulator results and validate outputs from nightly simulation runs to confidently approve or block fleet control and robot software releases. Issue Resolution & Triage: Utilize the simulator as the primary tool to triage and root‑cause field issues reported from the Warehouse, driving necessary fleet SW, integration, and Robot SW changes based on analysis and findings. Operational Alignment & Guidance: Work in lockstep with the operations team to minimize the discrepancy (sim‑to‑real gap) between simulation results and actual warehouse operations, ensuring the simulator is a reliable forecasting tool. Strategic Volume Goal: Guide and support operations in configuration and setup changes for the warehouse to achieve and sustain the package handling volume goal. Qualifications Bachelors or masters in computer science or electrical engineering, or equivalent experience. 5+ years of experience in system validation, operations research, industrial engineering, or complex system modeling/simulation, preferably in robotics or automation. Proven ability to define and manage complex system requirements, analyze large datasets, and use simulation outputs to drive critical business decisions. Exceptional communication and cross‑functional collaboration skills, with experience working directly with engineering, operations, and product teams. A strong, data‑driven problem‑solver with a proven track record of using analysis to influence high‑stakes operational and engineering changes. $180,000 - $225,000 a year The above range is the base salary range. This position will also provide generous equity. Culture We embrace challenges and strive to make the impossible possible each day. We're not in this to do what's easy or to be mediocre. We want to create something legendary and leave our mark on the world. We're ambitious, we're gritty, we're humble and we're relentlessly resourceful in pursuit of our goals. If this sounds like you then you might be a great fit! Press Link: Nimble Closes $106 Million Series C Funding Round, Scales Fully Autonomous Fulfillment with FedEx Link: FedEx Announces Expansion of FedEx Fulfillment With Nimble Alliance Equal Opportunity Statement Nimble Robotics, Inc. is an equal opportunity employer. We make all employment decisions based solely on merit. We provide equal employment opportunity to all applicants and employees without discrimination on the basis of race, color, religion, national origin, ancestry, disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, sexual orientation, age, military or veteran status, or any other characteristic by applicable state, federal or local laws. Nimble's Benefits Paid Time Off Enjoy the time you need to travel, rejuvenate, and connect with friends and family. Health Insurance Nimble provides medical, dental, and vision insurance through several premier plans and options to support you and your family. Paid Parental Leave Enjoy paid bonding time following a birth. Commuter Benefits Take the stress out of commuting with access to fully‑paid parking spots. Referral Bonus Get a cash bonus for any friend or colleagues that you refer to us that we end up hiring. 401k Contribute towards a 401k for retirement planning. Equity Be an owner in Nimble through our equity program. #J-18808-Ljbffr

Licensed Building Engineer - Full-Time, Day Shift Non-Profit | Award-Winning Multi-Care Center (the area's premier provider of services for older adults) About Us We are an award-winning, non-profit multi-care center known for providing exceptional services to older adults in a warm, respectful, and mission-driven environment. Our team is dedicated to maintaining a safe, comfortable, and efficient setting for residents, staff, and visitors alike. Position Overview We're seeking an experienced Licensed Building Engineer to join our Facilities team on a full-time, day shift schedule. Working as part of a team of two, the Building Engineer is responsible for ensuring the continuous and efficient operation of the boiler room, HVAC, and plant systems, as well as performing maintenance and safety inspections throughout the community. Key Responsibilities Operate and maintain boilers, HVAC systems, and associated mechanical equipment Perform preventative maintenance, equipment inspections, and general repairs Ensure compliance with federal, state, and local standards and regulations Support life safety systems and emergency preparedness procedures Collaborate with maintenance and facilities staff to ensure optimal building performance Maintain detailed records of maintenance activities and equipment operations Respond promptly to maintenance issues to support resident comfort and safety Qualifications 2nd Grade Stationary Engineer License - REQUIRED 1st Grade Stationary Engineer License - Preferred Minimum 5 years of boiler operation experience as an operating engineer - REQUIRED Valid driver's license - REQUIRED Healthcare or senior living facility experience - Preferred Willingness to attend additional training or seminars to enhance skills and performance Why You'll Love Working Here Hourly position and extensive benefits package Be part of a mission-driven, non-profit organization that values integrity and excellence Work in a supportive, team-oriented environment Make a difference by helping maintain a safe and comfortable home for older adults Enjoy the stability and satisfaction of a full-time, day-shift position If you're a skilled and Licensed Building Engineer who takes pride in reliability, safety, and service-and you're looking for a meaningful career in a respected, community-focused organization-we invite you to apply today.

A leading digital health company is seeking a Staff Engineer for the Brain Health team to lead the technical architecture of innovative mental wellness solutions. You'll collaborate with a multidisciplinary team to develop therapeutic AI systems that improve mental health outcomes. The role requires expertise in software engineering, machine learning, and cloud technologies. Enjoy a hybrid work environment where you'll innovate while supporting members in achieving better mental health. #J-18808-Ljbffr

Who We Are Tonal is the world's first all in one home gym with a simply stunning design. It has completely revolutionized the fitness journey, with adaptive weight and coaching cues powered by advanced AI technology. We've united a diverse team of experts and decades of research to reinvent strength training, making it more efficient, more effective, and more engaging. With this in mind, we want to bring that same innovative approach to the workplace. At Tonal, we continue our shift of emphasis by growing our instrumental team. We collectively weave our knowledge and creativity, as we redefine the future of fitness, and Power Progress for our members. Overview Tonal is looking for an AI Engineer to help expand Tonal's intelligence across movements, training modalities, and member goals. You'll be joining a high impact team at the intersection of machine learning, biomechanics, and product engineering. You will be responsible for building intelligent systems that adapt workouts, enhance coaching, and personalize progression using the largest strength training dataset in the world. With millions of workouts collected across diverse users and enriched by data from cameras, cable sensors, and external trackers, Tonal has a one of a kind platform for real world AI. You will help transform this data into production grade models and systems that deliver real time insights, predictions, and feedback to our members. What You Will Do Design, implement, and optimize machine learning training pipelines and model serving infrastructure for real time applications Develop algorithms and ML models that enable personalized training, adaptive coaching, and performance prediction Fine tune and evaluate transformer based or self supervised learning models using Tonal's multimodal dataset Build data driven systems that measure training effectiveness, effort, and progression beyond traditional weight based metrics Prototype, train, and deploy ML models that run efficiently at scale or on device Collaborate cross functionally with Exercise Science, Product, and Software teams to deliver intelligent features that improve the member experience Contribute to the development of automated tools for experimentation, model validation, and continuous retraining Write high quality, maintainable Python code and work closely with backend engineers to integrate models into Tonal's production systems Mentor teammates and help shape Tonal's growing AI and ML best practices Who You Are A self driven AI or ML Engineer passionate about bringing applied machine learning into real world, user facing products 7 plus years of experience in software engineering or applied ML, or 5 plus with a Master's degree, or PhD with 3 plus years of experience Strong coding skills in Python and experience with frameworks such as PyTorch, TensorFlow, or JAX Experienced in ML training, evaluation, and deployment workflows such as Sagemaker, MLFlow, Databricks, or similar Deep understanding of time series modeling, human motion, or sensor based learning from devices such as force transducers, position encoders, IMUs, or cameras Familiar with MLOps best practices and scalable model training pipelines Strong communicator who can collaborate with scientists, product managers, and engineers Track record of delivering performant ML systems from prototype to production Extra Credit Experience fine tuning large transformer or multimodal models Experience deploying models to real time or edge environments such as on device inference Experience with GoLang, Kotlin or Flutter Experience with distributed training, mixed precision optimization, or model compression Interest in fitness, digital health, or intelligent training systems Background in biomechanics, kinesiology, or human performance analytics At Tonal, we believe that the unique and varied lived experiences of our teammates contribute to our overall strength. We don't just appreciate differences, we celebrate them, and we always seek people that represent a wide variety of backgrounds. We're dedicated to adding new perspectives to the team and designing employee experiences that contribute to your growth as much as you do to ours. If your experience aligns with what we're looking for (even if you don't check every single box), send us your application. We would love to hear from you! Tonal is committed to meeting the diverse needs of people with disabilities in a timely manner that is consistent with the principles of independence, dignity, integration, and equality of opportunity. Should you have any accommodation requests, please reach out to us via our confidential email, accessibility@tonal.com. All requests will be addressed and responded to in accordance with Tonal's Accessibility Policy and local legislation. #J-18808-Ljbffr

We advance science so that we all have more time with the people we love. A healthier future. It's what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That's what makes us Roche. Advances in AI, data, and computational sciences are transforming drug discovery and development. Roche's Research and Early Development organizations at Genentech (gRED) and Pharma (pRED) have demonstrated how these technologies accelerate R&D, leveraging data and novel computational models to drive impact. Seamless data sharing and access to models across gRED and pRED are essential to maximizing these opportunities. The new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness this transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide. Within the CoE organization, the Data and Digital Catalyst (DDC) organization drives the modernization of our computational and data ecosystems and integration of digital technologies across Research and Early Development to enable our stakeholders, power data-driven science and accelerate decision-making. The Engineering - AI Enablement group within DDC is accountable for enabling AI across the board with our scientific and computational partners based on their goals. We help embed our AI strategy across our research organizations by providing employees with the tools and support needed to adopt AI into our daily work-helping us work smarter and enhancing our day-to-day work. We also build and deploy AI based solutions that reshape and transform business processes in order to unlock value at scale and optimise workflows. We also work on scaling up model training and inference, evaluating the quality of AI/ML models and output, and building impactful applications which accelerate the scientists doing the critical work of drug discovery and development. Partnering with colleagues to build, deploy and evolve a modern tech stack and utilities to enable our AI/ML and agentic efforts will be a key foundation to our success. Our aim is for everyone who can benefit from AI/ML to be able to leverage that utility where and when they need it, from data analysis to literature search to documentation writing. We are aiming for AI/ML to be an everyday utility. The team is cross-functional, impact driven, independent, and constantly evolving to meet the scientific needs. The Opportunity As a machine learning engineer in AI Enablement, you will be working closely with folks that span the gamut from Computational Scientists, Research Scientists, AI/ML experts, Product leaders, DevOps, and everyone in between. You\'ll build, own, and constantly improve scalable AI/ML based systems that unlock the potential of our diverse scientific data, accelerating the discovery and development of life-changing treatments for patients. #J-18808-Ljbffr

Job Title Facilities Technician II Contract 3 Months Work Schedule Onsite requires lifting up to 50 lbs Interview Process Phone interview In-person interview About the Role We are seeking a Facilities Technician II to support mission-critical operations in a regulated life sciences environment. This role is hands-on, execution-focused, and requires deep technical competence across mechanical, electrical, building automation, and environmental monitoring systems. The technician will be responsible for maintaining uptime, ensuring compliance, and responding decisively to facility issues. This is not a junior role. Candidates must bring strong field experience, sound judgment, and the ability to operate independently in a GMP setting. Key Responsibilities Perform preventive and corrective maintenance on HVAC-R systems, boilers, pumps, CTUs, RO/DI water systems, autoclaves, and utility distribution. Install, maintain, and troubleshoot electrical systems from 12V to 480V, including motors, VFDs, UPS, generators, ATS, and panels. Operate and troubleshoot Building Automation Systems (ALC, Siemens, JCI, Distech). Monitor and respond to Environmental Monitoring Systems (Rees), including alarms, excursions, and documentation. Execute inspections, PMs, testing, and emergency response activities. Manage work orders and documentation using SAP Plant Maintenance. Ensure strict compliance with Cal/OSHA, NEC, GMP, and site safety procedures. Collaborate with engineering, lab, EHS, and external vendors. Required Qualifications Candidates must meet one of the following: AA Technical Degree (Electrical, Mechanical, Industrial Technology, or related) plus 10+ years hands-on electrical and mechanical maintenance experience plus experience with building control systems OR Licensed/Certified Electrician (state or nationally recognized) plus 10+ years electrical and mechanical maintenance experience plus 3+ years experience with BAS/building management systems

A robotics and AI company in San Francisco is seeking a passionate Software Engineer to develop a robotic fleet simulation platform. The ideal candidate will have over 3 years of experience, expertise in Python and C++, and a strong commitment to quality. This position offers a salary range of $120,000 - $200,000 along with generous equity and benefits. Join us to contribute to the future of autonomous logistics. #J-18808-Ljbffr

A leading healthcare technology company is seeking a Staff Machine Learning Engineer to architect and maintain critical data infrastructure for its advanced AI models. This role involves managing multimodal data processing and optimizing large-scale data pipelines. Ideal candidates will have 8+ years of experience and a Master's degree in a related field. The position is based in Chicago and offers a salary range of $170,000 - $210,000. #J-18808-Ljbffr

I am looking for a technical cofounder for a social app for events. I need someone to take designs created on Figma or other platforms and to build the app from those designs. Preferred qualifications include strong back-end development skills, experience with mobile or web app development, and an ability to translate Figma prototypes into functional code. #J-18808-Ljbffr

Cresilon is a Brooklyn-based biotechnology company that develops, manufactures, and markets hemostatic medical devices utilizing the company's proprietary hydrogel technology. The company's plant‑based technology has revolutionized the current standard by stopping traumatic and surgical bleeds in seconds without the need for extended manual pressure. The company's current and future product lines target veterinary, human trauma, and human surgical applications. Cresilon's mission is to save lives. Learn more about the company at ***************** Job Summary The R&D Engineer I/II is responsible for supporting product design and process development activities while ensuring compliance with all quality and regulatory requirements. The position has a scientific focus that includes implementation of formulation development through process development, prototype fabrication, and characterization, along with additional process evaluation and data generation through designed experiments. Process development in an R&D environment will be followed by qualification and technology transfer into manufacturing. Collaboration is a key aspect of this role, as the engineer will work within a multidisciplinary team of researchers and engineers. The position offers diverse opportunities in a collaborative cross‑functional environment, requiring adaptability, flexibility, and a willingness to learn and innovate in the exploration of new technologies, new approaches, and techniques in pursuit of product/process robustness and innovation. The R&D Engineer I/II is expected to possess expertise in areas including, but not restricted to, polymer, chemical, material science, and process development and engineering. Additionally, they will assist in generating documentation essential for regulatory submissions, ongoing publication initiatives, and direct communication with the Head of Research regarding various tasks. This is a full‑time, on‑site position, located in Brooklyn, New York. This role is an independent contributor role (i.e. no direct reports). Level is dependent on experience. Responsibilities Oversee the planning, implementation, and analysis of experiments relevant to project objectives. Ensure the application of established scientific and engineering principles to solve complex problems and challenges innovatively and efficiently, adhering to rigorous scientific methodologies and protocols. Create and execute product/process enhancement, and new product/process development plans. Lead material/design/process changes and their implementation with well‑documented research/analyses. Process and analyze results, Author protocols and reports including engineering studies and design verification/validation activities. Aid in the development and execution of testing methods to aid in exploratory research, product/process development, and quality control; conduct chemical and mechanical property evaluation tests to assess the desirability of process or formulation changes. Prepare samples as required for manufacturing, testing, or other evaluations and data analysis. Participate in voice‑of‑customer (VOC) labs and other user needs assessments. Interface with external vendors, customers, and suppliers. Specify equipment and process requirements for developing and implementing new products, product improvement and new equipment/processes. Support process and product transfers to manufacturing or CDMOs. Maintain a laboratory notebook and other technical documentation according to required GLP/GMP guidelines. Understand and prioritize process improvements, design experiments to make those improvements, and execute these plans in the laboratory. Maintain active dialogue with Regulatory Affairs as subject matter expert on all product design elements/documentation about research towards FDA/regulated authority submissions. Provide support to the marketing and sales team, with the development of presentations, sales tools, and application data. Work with company leadership to evaluate existing research practices and contribute to a culture of ethical, high‑quality research operations within the organization. Provide other project or product support as needed to support Cresilon's business objectives. Required Qualifications Education: BS in Chemical Engineering, Polymer Engineering, Material Science & Engineering, or related engineering discipline. Minimum 4+ years previous experience in an industrial environment with a BS degree. (2 years minimum experience if advanced degrees). Proficiency as an adept experimentalist with hands‑on experience in the product and process development of polymeric materials and their characterization in an R&D or manufacturing environment. Mathematically inclined with strong analytical and problem‑solving skills with the ability to be observant and to think creatively. Demonstrated ability to design experiments and analyze data with the use of appropriate quality and statistical methodologies. Demonstrated ability to work independently as well as be a strong team contributor. Ability to effectively work within a team and cross‑functionally to expedite the completion of critical project tasks. Requires understanding of product/process design and engineering. Experience should include process development/validation and/or transfer/verification, protocols, and troubleshooting skills. Ability to handle multiple project assignments of medium scope and complexity and able to prioritize and complete work with a sense of urgency on time. Ability to lead directly and by influence, including strong problem‑solving, conflict resolution, and analytical skills. Working knowledge of Good Documentation Practices (GDP) and Good Manufacturing Practices (cGMP) requirements. Proficiency in the use of Microsoft Office, Microsoft Excel, Microsoft Word, Microsoft PowerPoint is required. Require excellent written and verbal communication and presentation skills. Legal authorization to work in the United States is required. Physical Requirements include: Aseptic Gowning Qualification: Able to be successfully qualified for aseptic gowning, including successful respirator training. Wear Appropriate Personal Protective Equipment (PPE). Be able to stand and walk for prolonged periods, with the ability to climb, balance, stoop, bend, reach, and handle equipment. Ability to speak, listen, and understand verbal and written communication. Possesses hand‑eye coordination and manual dexterity for delicate manipulations. Ability to lift up to 50 pounds occasionally and to carry, push, pull, or otherwise move objects. Visual acuity is required for performing close and distant activities. Preferred Qualifications An advanced technical degree (MS or PhD). Lab experience in an industry setting within cGMP-regulated environments. Prior experience developing processes and scaling these up into manufacturing or CDMO. Mechanical/electrical knowledge with the ability to troubleshoot processing equipment. Six Sigma green belt or black belt certification preferred. Experience implementing process and quality improvements in a manufacturing environment. Work experience with the medical device or pharmaceutical industries. Working knowledge of ISO 9001, ISO 13485:2003 and ISO 14971:200. Working knowledge of FDA requirements as per 21 CFR 820. Equal Opportunity Employment Cresilon is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Cresilon makes hiring decisions based solely on qualifications, merit, and business needs at the time. Benefits Competitive annual base salary range of $70,000 - $120,000, depending upon job level and qualifications Paid Vacation, Sick, & Holidays Monthly MetroCard Reimbursement 401(k) & Roth Retirement Savings Plan with company match up to 5% Work/Life Employee Assistance Program Company Paid Life and Short-Term Disability Coverage Medical, Dental, and Vision Insurance, FSA: Dependent & Healthcare, Commuter & Parking Benefits, Long Term Disability Coverage #J-18808-Ljbffr

A leading AI company in San Francisco is looking for a Research Engineer (Machine Learning) to enhance their multi-modal AI capabilities. The role involves building and optimizing infrastructure for training and inference systems at scale. Ideal candidates will have experience with deep learning frameworks, large model training, and production-grade systems. The company offers comprehensive benefits including equity participation and flexible paid time off. #J-18808-Ljbffr

Aldea is a multi-modal foundational AI company reimagining the scaling laws of intelligence. We believe today's architectures create unnecessary bottlenecks for the evolution of software. Our mission is to build the next generation of foundational models that power a more expressive, contextual, and intelligent human-machine interface. The Role We are hiring a Research Engineer (Machine Learning) to build the infrastructure that powers Aldea's multi-modal AI research. You will design, optimize, and scale the training and inference systems that enable our research team to explore next-generation architectures across language, speech, and multi-modal domains. What You'll Do Build and maintain distributed training infrastructure supporting researchers across language and speech domains at a billion-plus-parameter scale. Optimize training and inference performance across the stack, delivering significant speedups through framework optimization, custom kernels, and system-level improvements. Design experiment infrastructure including automated evaluation pipelines, experiment tracking, and monitoring systems that enable rapid iteration. Scale infrastructure from single-node to multi-node distributed training and deploy production inference systems for real-time applications. Support researchers with fast turnaround on infrastructure issues and maintain high reliability across all systems. Collaborate with research scientists, data engineers, and leadership to define technical priorities and infrastructure roadmap. Minimum Qualifications Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience. 3+ years of experience with PyTorch and distributed training frameworks (DDP, FSDP, DeepSpeed, or similar). Experience training large-scale deep learning models at 1B+ parameters. Deep understanding of training optimization techniques including mixed precision, gradient checkpointing, and memory management. Proven ability to build production-grade ML infrastructure with high reliability. Track record of delivering significant performance optimizations in ML training or inference systems. Preferred Qualifications Experience with custom kernel development (CUDA, Triton) or GPU optimization. Hands-on experience with large-scale pretraining (100B+ tokens, ideally trillion+ scale). Experience optimizing inference for production: quantization, vLLM, TensorRT, or custom serving engines. Familiarity with speech/audio ML systems and real-time inference constraints. Experience building automated evaluation frameworks and experiment tracking systems. Knowledge of profiling tools and multi-node training across 8-32+ GPUs. Exposure to job orchestration systems (SLURM, Kubernetes, Ray). Master's or PhD in Computer Science, Machine Learning, or related field. Performance-based bonus aligned with research and model milestones Equity participation Comprehensive health, dental, and vision coverage Flexible paid time off Aldea is proud to be an equal‑opportunity employer. We are committed to building a diverse and inclusive culture that celebrates authenticity to win as one. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, citizenship or immigration status, or any other legally protected characteristics. Aldea uses E‑Verify to confirm employment eligibility in compliance with federal law. For more information please visit: ************************ Please note: We do not accept unsolicited resumes from recruiters or employment agencies and will not be responsible for any fees related to unsolicited resumes. #J-18808-Ljbffr

A biotechnology company in Brooklyn, New York, is seeking an R&D Engineer I/II to support product design and process development. The ideal candidate will have a BS in Chemical Engineering and 4+ years of experience in polymer product/process development. Responsibilities include overseeing experiments, creating development plans, and collaborating across teams. The position offers diverse opportunities in ensuring compliance with quality and regulatory standards. Benefits include a competitive salary, paid vacation, and comprehensive health insurance. #J-18808-Ljbffr

Under general supervision, the Operating Engineer performs a variety of routine or skilled preventive maintenance duties in the repair, alteration, and modification of buildings, equipment and facilities. Essential Responsibilities: + Upholds Kaiser Permanentes Policies and Procedures, Principles of Responsibilities and applicable state, federal and local laws. + Inspects equipment and facilities for proper operation and working condition. + Maintains routine records and determines type and extent of any malfunction of equipment and, as necessary. + Adjusts, disassembles and repairs or replaces parts or components, reassembles and tests for proper operation. + Reports more serious problems to Chief Engineer for instructions or maintenance scheduling. + May attend to gas fired steam boilers, hot water boilers, and heaters. + May make necessary adjustments to assure proper steam pressure, combustion, water flow, water level and proper operation of safety devices and auxiliary equipment. + Tests boiler water and adds chemicals as necessary. + May service and make repairs to heating, air conditioning and refrigeration equipment including fans, motors, radiators, thermostats, dampers and regulating controls. + Replaces filters and fluids as necessary; and maintains routine records of repairs. + Performs a variety of general semi-skilled to skilled maintenance, alteration and repairs to machinery, equipment or facilities as assigned or in accordance with basic skills and abilities, and standard procedures, diagrams or manufacturer instructions, i.e. + Performs routine electrical maintenance, replacement or alteration of circuit wiring, switches, control equipment and mechanisms, motors, transformers, relays, generators, appliances, fixtures, alarms, communication equipment, etc. + Performs general mechanical maintenance of hospital and clinic equipment, kitchen equipment, office machines and equipment, etc. + Normally excludes specialized and highly technical x-ray and surgical equipment requiring specific training, experience and materials. + Performs general plumbing maintenance - Maintain, repair and make alterations to steam, gas, water, air, and sanitary plumbing pipes and fixtures. + Bend, cut, ream, and thread pipe, wipe joints, test joints, and pipe systems for leaks. + Repair leaks and clear drain stoppages. + General welding - cutting, joining metals not requiring critical test tolerance or certification. + Performs a variety of routine maintenance duties such as repair and assemble extension cords, replace fuses, fluorescent ballasts and tubes, clean and lubricate motors and other machinery. + Clean sink and grease traps, replace and re-pack valves, assemble equipment, repair drape pull mechanisms and related items. + Performs a variety of routine manual duties as required, such as moving supplies, furniture, equipment, removing trash, scrap material, and replacing light bulbs, etc. + Establishes and maintains courteous, cooperative relations when interacting with other personnel, Health Plan members and the public. + Performs other related duties as required. + Assume other activities and responsibilities from time to time as directed. Basic Qualifications: Experience + Three (3) to Five (5) years with in the last year, experience in Building Plant Operations and Maintenance. Education + Associate of Arts Degree in Engineering or technical disciplines in Plant Operations, HVAC, Electrical, Plumbing, or equivalent. License, Certification, Registration + Steam Engineer Unlimited License (California) OR Los Angeles Steam Engineer 500 HP License + Drivers License (in location where applicable) + Universal Chlorofluorocarbons Certificate within 6 months of hire Additional Requirements: + Ability to demonstrate knowledge of equipment, controls, and building automation maintenance. + Ability to read and interpret blue prints, schematic drawings and technical manuals. + The Employer reserves the right to review and modify these requirements during the term of the agreement pursuant to paragraphs 1819 and 2101 in the Labor Agreement. + Must be able to work in a Labor/Management Partnership environment. Preferred Qualifications: + N/A. COMPANY: KAISER TITLE: Operating Engineer-Plant LOCATION: Harbor City, California REQNUMBER: 1398773 External hires must pass a background check/drug screen. Qualified applicants with arrest and/or conviction records will be considered for employment in a manner consistent with Federal, state and local laws, including but not limited to the San Francisco Fair Chance Ordinance. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, protected veteran, or disability status.