Project Engineer jobs at Globus Medical - 3569 jobs

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

About the Role The Staff Application Engineer (Individual Contributor) is a highly experienced technical leader who delivers high-impact engineering outcomes across multiple teams and products without formal people management responsibilities. This role takes ambiguous, cross-functional problems from concept to scalable solutions; drives architecture and systems design that meet Onyx's standards for security, reliability, and performance; raises the quality bar for engineering excellence; and mentors engineers to level up their technical and operational capabilities. Key Responsibilities Lead architecture and systems design for full-stack, data-driven, loosely coupled cloud applications; make pragmatic trade-offs that balance speed, quality, and long-term stability. Take poorly defined, high‑ambiguity problems and drive them to a clear specification and execution plan; deliver solutions with cross‑organizational impact and value. Own end‑to‑end delivery of large, strategic engineering initiatives, often crossing collective boundaries; ensure alignment to agreed target architectures and standards. Write high‑quality, well‑tested code and documentation; produce proposals, runbooks, and operational playbooks that enable clarity, maintenance, and scaling. Champion operational excellence: design for reliability and security, implement comprehensive observability (metrics, logs, traces), and ensure robust alerting and SLOs. Operate and support production systems: participate in on‑call, lead incident resolution when needed, perform root‑cause analysis, and drive durable follow‑ups that reduce risk. Proactively refactor and simplify complex systems; repay technical debt with intent and measurable outcomes; improve performance, scalability, and cost efficiency. Develop APIs (REST/GraphQL/gRPC) and integration contracts that are resilient, secure, and well documented; advocate for consistent patterns across teams. Collaborate closely with product, design, data science, compliance/risk, and platform teams to align architectural decisions with user needs and organizational strategy. Mentor and sponsor engineers across teams (including senior engineers): raise coding standards, guide design choices, and help others navigate trade‑offs and delivery. Elevate engineering practices across Onyx: standard‑bearer for code reviews, test automation, CI/CD, accessibility, performance, and security‑first design. Use data to inform decisions; introduce monitoring where needed to improve product and operational outcomes; communicate risk clearly to non‑technical stakeholders. Stay current with relevant technologies (cloud‑native services, data platforms, front‑end frameworks); bring strategic insights that shape area‑level technology direction. Contribute to cross‑team initiatives that improve ways of working, incident management, support processes, and the overall quality bar for Onyx Application Engineering. Basic Qualifications Bachelor's degree in computer science or related field, or equivalent experience. 7+ years of experience delivering complex, production‑grade, cloud applications at scale. Experience with backend language and ecosystem (e.g., Python, Java, Scala, JavaScript/Node.js), including documentation, testing, observability, and operations. Proficiency in front‑end technologies: JavaScript/TypeScript with React.js, Angular, or similar frameworks. Experience designing and building APIs (REST/GraphQL/gRPC); solid understanding of integration patterns and interoperability. Cloud experience developing and deploying in environments like Google Cloud (preferred), AWS, or Azure; hands‑on with cloud‑native services and infrastructure‑as‑code patterns. Experience with authentication and authorization mechanisms (e.g., OAuth2, OIDC); security‑first mindset throughout the SDLC. Experience with modern SDLC and DevOps tooling: git/GitHub, CI/CD pipelines, automated testing, containerization/orchestration, metrics/monitoring (e.g., Prometheus, Grafana, OpenTelemetry). Experience in agile software development and common environments such as Jira and Confluence. Preferred Qualifications Master's degree or higher in Computer Science or related field. Experience leading large, strategic, complex engineering projects across multiple teams or collectives. Knowledge of database modelling, relational and non‑relational data concepts, and SQL; performance tuning and data lifecycle management at scale. Experience with data visualization frameworks (e.g., D3.js, Plotly, Matplotlib) and building scientific data experiences. Evidence of embedding operational excellence (runbooks, on‑call discipline, SLOs, post‑incident learning) across teams. Familiarity with regulated environments and collaboration with compliance/security functions. Demonstrated ability to lead architectural designs for complex systems, drive cross‑team solutions, and deliver measurable improvements in reliability, performance, and scalability. Proven ability to debug and resolve complex production issues under pressure; leads incident resolution and drives durable prevention. Excellent communication skills (verbal and written); can articulate technical risk and decisions to technical and non‑technical stakeholders; collaborates effectively across disciplines. Track record of mentoring engineers and elevating team standards and ways of working. Compensation & Benefits The annual base salary for new hires in this position ranges $170,775 to $284,625 based on location. This role offers an annual bonus, eligibility to participate in our share‑based long‑term incentive program, health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. Why GSK Uniting science, technology and talent to get ahead of disease together. Equal Opportunity Employer Statement GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. #J-18808-Ljbffr

A leading biotechnology organization seeks a Staff Application Engineer to drive architecture and systems design for data-driven cloud applications. The candidate will deliver high-impact solutions, mentor engineers, and champion operational excellence. Ideal for those with 7+ years in scalable tech and frontend/backend expertise. The role offers a competitive salary range of $170,775 to $284,625, plus bonuses and comprehensive benefits. #J-18808-Ljbffr

Nimble is an AI robotics company building the autonomous supply chain to enable fast, efficient, and sustainable commerce. We're developing a general-purpose robot AI and a warehouse generalist superhumanoid robot, the first robot in the world capable of performing all core warehouse functions. We recently closed a $106M Series C at a $1B valuation, and we are continuing to grow our world‑class team. Mission: to empower and inspire mankind to accomplish legendary feats by inventing robots that liberate us from the menial. Vision: invent the Autonomous Supply Chain - everything from the inside of factories and warehouses to your front door - powered by industry‑generalist superhumanoids to deliver faster, more efficient, and more sustainable commerce. Proudly led by founders from Stanford and Carnegie Mellon and a board featuring Marc Raibert (founder of Boston Dynamics), Sebastian Thrun (founder of GoogleX, Waymo), and Fei‑Fei Li (Chief Scientist of AI at Google). Join us and leave your mark on the future of robotics, AI, and global commerce. Core Values Be relentlessly resourceful - Challenge conventions and overcome obstacles. Be legendary - Be the very best and do work that inspires. Be humble - Prioritize growth, learning, and doing whatever is needed to further the mission. Be dependable - Take ownership and deliver with high agency. About the Role You will own the development and architecture of our next‑generation robotics diagnostic system, which is crucial for improving the reliability and maintainability of the robotic fleet. This system must proactively detect and surface anomalies across the entire robot stack-from low‑level firmware glitches to complex hardware failures-either automatically during operation or upon manual trigger. You will be the architect of the diagnostic data structure, translating complex sensor readings and error logs into actionable, easy‑to‑read health reports that accelerate root cause analysis for engineering, manufacturing, and support teams. This role requires tight collaboration with our Embedded Software and Infrastructure teams, and the Operations team to build a robust, scalable data pipeline. Key Responsibilities Design, implement, and maintain the on‑robot diagnostic framework, enabling both autonomous background checks and on‑demand manual diagnostic scans. Define the diagnostic data schema, ensuring efficient, standardized, and human‑readable reporting of fault codes, event logs, and status checks. This data structure must be scalable and optimized for use by both on‑robot systems and cloud‑based analytics tools. Work closely with embedded software and hardware teams to develop sophisticated diagnostic routines that surface hardware issues, abnormal sensor behavior (e.g., drift, noise, and communication failures), motor anomalies, and transient firmware glitches. Collaborate with the Infrastructure team to architect and build the data pipeline responsible for reliably collecting, storing (e.g., S3 or data lake), and processing high volumes of diagnostic data from the robot fleet. Ensure diagnostics generate clear, prioritized, and contextualized reports that summarize the state of the robot, enabling engineers to quickly understand the root cause of an abnormality without extensive log diving. Qualifications BS or MS in Computer Science, Electrical Engineering, Robotics, or a related technical discipline. 3+ years of professional experience in developing diagnostics, monitoring, or telemetry systems for complex electro‑mechanical devices, robotics, or embedded systems. Proficiency in software development (e.g., C++, Python) with specific experience in writing testable, robust code for embedded environments or robotics middleware. Experience with data structuring, schema design, and working with data ingestion pipelines (e.g., utilizing message queues, time‑series databases, or cloud data storage). Deep understanding of common robotics hardware and firmware failure modes, including motor control systems, sensor interfaces (e.g., CAN, I2C, Serial, USB), and power management systems. Technical triaging skills, familiarity with Ishikawa diagram are big plus. Familiarity with interpreting hardware schematics and leveraging low‑level system logs to identify failure points. Salary and Equity $145,000 - $190,000 a year. The range above is the salary range. This position will also receive 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! 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 protected 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 colleague 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

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

Our Goals At Farcast, we aim to improve global prosperity. We achieve this goal by building innovative products that enable access to information. Satellite internet is one of the most important ways to achieve this goal and to provide global connectivity coverage. However, the capacity of satellite internet services is limited by the quality and affordability of the devices consumers use to connect to satellites. These devices are called “user terminals”. Our mission is to bring unprecedented innovation to the user terminal industry. We believe our innovation will be key in making satellite internet accessible to everyone. Please join us if your goals align with ours! Responsibilities Design schematic and layout of mixed-signal, power, and digital circuitry for RF applications. Contribute to system architecture decisions, including power networks, thermal management, and component selection. Successful delivery of PCB/PCBA builds using HDI technology Develop and execute PCBA test plans with an emphasis on IEC compliance and reliability across environmental conditions. Required Experience Strong working knowledge and experience with schematic capture and layout of high-density PCBs in Orcad or Allegro Working knowledge of Signal Integrity, Power Integrity 5+ years of hands-on experience in board-level design, bring-up, manufacturing, and testing Experience with DFM/DFT/DFX Experience with IPC standards for PCB manufacturing, assembly, and test Established track record of designing and releasing electronics into production, ensuring manufacturability and cost efficiency Demonstrated experience with general EE test equipment Education Bachelor's in Electrical Engineering, MS is preferred What Makes You Stand Out Previous experience with HDI in high-reliability electronics Working knowledge of RF design principles, including transmission line theory and practical implementation in PCB layout. Experience in testing complex digital, power, and RF systems, including active antenna modules or phased arrays Experience in regulated industries such as aviation or the automotive fields Base Salary Range Compensation includes a competitive base salary as part of a comprehensive package tailored to the candidate's experience and background. $140,000 - $170,000 a year Offered Benefits Meaningful company stock ownership Unlimited PTO plus 20+ days of company shutdown Parental leave designed by parents for parents 401k with 5% company matching $6,000 annual wellness perk Individualized health, dental, and vision insurance plans for you and your family In-Person Requirement All employees are expected to be at the office, in person, for a minimum of two days per week Export Control Requirement To comply with U.S. Government space technology export regulations, all applicants and employees must hold U.S. citizenship, lawful permanent residency, or protected status as defined by 8 U.S.C. 1324b(a)(3) Diversity and Inclusion Farcast is proud to be an equal opportunity workplace We celebrate diversity and are committed to creating an inclusive environment for all employees We do not discriminate on the basis of race, religion, color, gender identity, sexual orientation, age, disability, veteran status, or other applicable legally protected characteristics We encourage people of different backgrounds, experiences, abilities, and perspectives to apply. Studies have shown that marginalized communities are less likely to apply for jobs unless they meet every single qualification. If you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to consider still applying. Note to Recruiters Farcast does not accept unsolicited resumes from recruiters or staffing agencies Please do not forward resumes to Farcast employees Farcast is not responsible for any fees for unsolicited resumes or candidates submitted by agencies #J-18808-Ljbffr

Persona is the configurable identity platform built for businesses in a digital-first world. Verifying individuals and organizations is harder - but more important - than ever, with AI enabling fraudsters to launch sophisticated accounts at scale and regulations evolving rapidly. We've built Persona to support practically every use case and industry - that's why we're able to serve a wide range of leading companies. For example, Instacart relies on Persona to verify shoppers who onboard onto their platform before delivering groceries to your doorstep. Meanwhile, OpenAI relies on Persona to keep bad actors out, protecting one of the world's most powerful AI platforms from large-scale abuse in a time when AI is reshaping the way we work and live. We're growing rapidly and looking for exceptional people to join us! About the Role Are you a software engineer ready to step out from behind the code and make a direct impact by building lasting relationships with customers? As a Field Product Engineer, you'll have the opportunity to leverage your technical background to address complex business and technical challenges. In this role, you'll develop both business and customer-facing acumen while working directly with team members to deliver impactful solutions. Beyond providing day-to-day support, you'll work closely with product and engineering teams, acting as a vital bridge between technical and customer-facing functions. If you're excited about using your technical skills to drive business growth and make a direct impact, this position is perfect for you. Best fit for Someone with 1-3 years of experience in a technical role (e.g., Software Engineer, Solutions Engineer, etc) looking to build lasting relationships with customers Someone curious to learn the ins and outs of a highly technical product Someone looking to level up their career alongside some of the brightest minds in the industry What you'll gain at Persona Technical challenges: You'll learn how to own the end-to-end delivery of complex solutions, such as design, implementation, quality assurance, and deployment for our customers ranging from startups to Fortune 10 companies. Dynamic business exposure: You will be exposed to various facets of our growing business. You will collaborate with teams across the organization, including Product, Engineering, and Sales, gaining a broad understanding of how different functions work together. Business growth partnerships: You will partner with members of our Post‑Sales & Sales teams to help solve problems and drive business results. You'll understand how to prioritize features and solutions that will help us win new business from startups to Fortune 10 companies. Impactful contributions: You will become an expert in Persona's platform products and future offerings, and directly inform Persona's product roadmap and go‑to‑market strategy. You'll serve as their technical advisor, helping craft solutions to their business needs by leveraging our platform's capabilities and industry best practices. Mentorship and growth: You will receive 1:1 mentorship directly from a member of our post‑sales/sales team, allowing you to learn from seasoned professionals and develop the skills needed for a successful career in the tech industry. Professional development: You'll build relationships with Persona's executives, who are former Square, Dropbox, and Coursera alumni. Persona offers an environment heavily focused on learning and development, with opportunities for career advancement across teams. What you'll bring to Persona Experience: You have 1-3 years of experience in a technical role (e.g., Software Engineer, Solutions Engineer) Curiosity: You have a passion for learning and embracing new challenges Strong interpersonal skills: You have a genuine desire to provide exceptional customer experiences and contribute to a customer's success Empathy: You can understand and manage the needs of others, and build an environment where others feel understood Outstanding verbal and written communication skills: You can effectively convey complex concepts to different audiences A growth mindset: You have a demonstrated love for learning and adaptability to ambiguity. You are eager to give and receive constructive and positive feedback, fostering a collaborative and supportive environment Willingness to travel: You are open to traveling up to 15% of the time for customer engagements Location and Travel This is a full‑time position based in our HQ in downtown San Francisco. Our in‑office days are Tuesday - Thursday, with the option to work from home on Monday and Friday. Many associates are expected to transition into full‑time positions after completing placement. This position may also include up to 15% travel. Full‑time Employee Benefits and Perks For full‑time employees (excluding internship and contractor opportunities), Persona offers a wide range of benefits, including medical, dental, and vision, 3% 401(k) contribution, unlimited PTO, quarterly mental health days, family planning benefits, professional development stipend, wellness benefits, among others. While we believe competitive compensation and benefits are a critical aspect of you deciding to join us, we do hope you consider why our core values and culture are right for you. If you'd like to better understand what it's like working at Persona, feel free to check out our reviews on Glassdoor. #J-18808-Ljbffr

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

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

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 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

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

Mentor Technical Group (MTG) provides a comprehensive portfolio of technical support and solutions for the FDA-regulated industry. As a world leader in life science engineering and technical solutions, MTG has the knowledge and experience to ensure compliance with pharmaceutical, biotechnology, and medical device safety and efficacy guidelines. With offices in Caguas, PR, Boston, MA & San Francisco, CA and we serve life sciences clients in six global markets: United States, Puerto Rico, Dominican Republic, Mexico, Germany, Canada, and South America. Responsibilities Engineering Experience in Medical Device Industry Problem Solving Knowledge (Yellow or Green Belt knowledge) Responsibilities may include the following and other duties may be assigned. Designs manufacturing processes, procedures and production layouts for assemblies, equipment installation, processing, machining and material handling. Designs arrangement of machines within plant facilities to ensure most efficient and productive layout. Designs sequence of operations and specifies procedures for the fabrication of tools and equipment and other functions that affect product performance. Adapts machine or equipment design to factory and production conditions. May incorporate inspection and test requirements into the production plan. Inspects performance of machinery, equipment, and tools to verify their efficiency, and investigates and initiates corrective action of problems and deficiencies to ensure product quality. Develops manufacturing processes that are applicable to statistical process control, and may develop those techniques. Provides guidance to engineering regarding design concepts and specification requirements to best utilize equipment and manufacturing techniques. Ensures processes and procedures are in compliance with regulations. Qualifications Requirements/Knowledge/Education/Skills BBA in Engineering Knowledge in CSV Problem Solving Knowledge (Yellow or Green Belt knowledge) Mentor Technical Group is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, protected veteran status, disability status, or any other characteristic protected by law. #J-18808-Ljbffr

A leading technical solutions provider is seeking an engineer specialized in the medical device industry. The role involves designing manufacturing processes and ensuring compliance with safety regulations. Candidates should have a BBA in Engineering, knowledge in CSV, and problem-solving skills (Yellow or Green Belt). The position offers an opportunity to work with innovative technologies in a dynamic environment located in Caguas, Puerto Rico. #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

A leading technical solutions provider is seeking an engineer specialized in the medical device industry. The role involves designing manufacturing processes and ensuring compliance with safety regulations. Candidates should have a BBA in Engineering, knowledge in CSV, and problem-solving skills (Yellow or Green Belt). The position offers an opportunity to work with innovative technologies in a dynamic environment located in Caguas, Puerto Rico. #J-18808-Ljbffr

Mentor Technical Group (MTG) provides a comprehensive portfolio of technical support and solutions for the FDA-regulated industry. As a world leader in life science engineering and technical solutions, MTG has the knowledge and experience to ensure compliance with pharmaceutical, biotechnology, and medical device safety and efficacy guidelines. With offices in Caguas, PR, Boston, MA & San Francisco, CA and we serve life sciences clients in six global markets: United States, Puerto Rico, Dominican Republic, Mexico, Germany, Canada, and South America. Responsibilities Engineering Experience in Medical Device Industry Problem Solving Knowledge (Yellow or Green Belt knowledge) Responsibilities may include the following and other duties may be assigned. Designs manufacturing processes, procedures and production layouts for assemblies, equipment installation, processing, machining and material handling. Designs arrangement of machines within plant facilities to ensure most efficient and productive layout. Designs sequence of operations and specifies procedures for the fabrication of tools and equipment and other functions that affect product performance. Adapts machine or equipment design to factory and production conditions. May incorporate inspection and test requirements into the production plan. Inspects performance of machinery, equipment, and tools to verify their efficiency, and investigates and initiates corrective action of problems and deficiencies to ensure product quality. Develops manufacturing processes that are applicable to statistical process control, and may develop those techniques. Provides guidance to engineering regarding design concepts and specification requirements to best utilize equipment and manufacturing techniques. Ensures processes and procedures are in compliance with regulations. Qualifications Requirements/Knowledge/Education/Skills BBA in Engineering Knowledge in CSV Problem Solving Knowledge (Yellow or Green Belt knowledge) Mentor Technical Group is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, protected veteran status, disability status, or any other characteristic protected by law. #J-18808-Ljbffr

At Globus Medical, we move with a sense of urgency to deliver innovations that improve the quality of life of patients with musculoskeletal disorders. Our team is inspired by the needs of these patients, and the surgeons and healthcare providers who treat them. We embrace a culture of exceptional response by partnering with researchers and educators to transform clinical insights into tangible solutions. Our solutions improve the techniques and outcomes of surgery so patients can resume their lives as quickly as possible. **Position Summary** **:** As a Manufacturing Engineer, you will develop, implement and maintain methods, operation sequence and processes in the manufacture or fabrication of parts, components, sub-assemblies and final assemblies. Support new initiatives and productivity targets for given manufacturing processes. Interface with design engineering in coordinating the release of new products. Estimate manufacturing cost, determine time standards and make recommendations for tooling and process requirements of new or existing product lines. Maintain records and reporting systems for coordination of manufacturing operations. **Essential Functions** **:** + Leads projects of moderate scope for existing families of production + Coordinates cross-functional teams to execute and document the manufacturing launch of new/legacy products + Supports the development and optimization of manufacturing processes required to accurately and efficiently make spinal implants, from raw material to final cleaning and shipment + Develops and completes manufacturing documentation (pFMEA, control plan, process flow, work instructions, and inspection plans) + Drives machine/equipment efficiency thru cycle time reduction, waste elimination, tooling improvements, and changeover reductions + Performs product/process analysis and troubleshooting for cost reduction, quality improvement, and improved efficiency + Designs, develops, tests, sources, and cost-justify various tools, machinery, and equipment for recommended manufacturing methods + Supports design for manufacturability analysis with CNC Programmers and Quality Engineers, and provide input to Development (Design) Engineers + Adheres to the letter and spirit of the company Code of Conduct, the AdvaMed Code, MedTech Code, and all other company policies + Ensures Compliance with applicable governmental laws, rules, and regulations, both in the United States and internationally, by completing introductory and annual training and maintaining knowledge of compliance as it applies to your role + Represents the company in a professional manner and upholds the highest standards of ethical business practices and socially responsible conduct in all interactions with other employees, customers, suppliers, and other third parties + Performs other duites as assigned Reasonable accommodations may be made to enable individuals with disabilities to perform these essential functions. **Qualifications:** + Ability to effectively communicate information, both formally and informally, such as data, methods, findings, and remediation recommendations at all levels within the organization and with key contacts + Able to effectively influence others, develop consensus, and create support throughout the organization + Support design for manufacturability analysis with CNC Programmers and Quality Engineers, and provide input to Development (Design) Engineers + Familiar with implementing, maintaining, analyzing data to react to various production performance metrics and KPIs + Proven ability and fluency in Print Reading and GD&T, Statistical Process Control, Lean Manufacturing, Six Sigma, Siemens NX or Solidworks and Gage/fixture design + Typically requires a Bachelor's degree and a minimum of 2 years of related experience; or an advanced degree without experience; or equivalent work experience + Bachelor's degree in an engineering discipline preferred + Experience in 21 CFR 820 and/or ISO 13485 regulated environment **Physical Demands** **:** The physical demands listed here are representative of those that must be met by an employee to successfully perform the essential functions of this job. + Required to sit; climb or balance; and stoop, kneel, crouch or crawl + Required to regularly lift and/or move up to 10 pounds and occasionally lift and/or move up to 25 pounds + Required to possess specific vision abilities, including close vision, distance vision, color vision, peripheral vision, depth perception and capacity to adjust focus **Our Values** **:** Our Life Moves Us philosophy is built on four values: Passionate About Innovation, Customer Focused, Teamwork, and Driven. + **Passionate about Innovation** : Improving patient care by delivering advanced technology to our customers is at the core of what we do. We are passionate in our role in improving the lives of patients by continuously developing better solutions. + **Customer Focused** : We listen to our customers' needs and respond with a sense of urgency. + **Teamwork** : Working together, anything is possible. We value every person on our team and treat each other with respect. We are accountable to one another and support each other. Together, we make each other stronger. + **Driven** : We pursue our mission with energy and passion. We are nimble, results-oriented and decisive. We overcome obstacles that arise in our quest to deliver solutions that will improve the lives of our customers and patients. **Equal Employment Opportunity** **:** Globus Medical is an equal opportunity employer. All applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, age, disability, marital status, pregnancy, national origin or citizenship. We are committed to a diverse workforce. We value all employees' talents and support an environment that is inclusive and respectful. **Other Duties** **:** Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.