Senior device engineer work from home jobs - 338 jobs

A leading software solutions firm is seeking experienced engineers to build high-performance authorization systems. You will work directly with enterprise customers to translate their compliance needs into product features, ensuring integration with the WorkOS platform. Ideal candidates should have 5+ years in software development and a strong problem-solving mindset. The position offers remote work flexibility and competitive pay, supporting both personal and familial well-being. #J-18808-Ljbffr

Join us in shaping the future of finance for technology companies We're a team of builders, operators, and problem-solvers reimagining how businesses manage and grow their capital. At Arc, we're developing intelligent cash management accounts, capital markets access, and CFO-grade AI features that help companies make faster, smarter financial decisions. Our customers are startups driving technology innovation across dozens of industry verticals. This inspires us to build financial products that enable our customers to scale faster, on their terms, and without restriction. We deeply embed ourselves in our customers' missions, which keeps us relentlessly focused on our own: helping startups grow. FEEDBACK IS THE ACCELERANT TO OUR GROWTH 360 degree feedback is core to our culture. Our Arc-itects practice radical candor and don't shy away from difficult conversations. We also focus equally on celebrating our wins and making sure we celebrate the unique strengths of our teammates. WE WORK HARD AND HAVE FUN TOO We host dozens of events each year - it's been part of our culture since day one. These gatherings include company-wide happy hours, new-hire onboarding meet-n-greets, offsite team-bonding activities, and annual company-wide retreats. At Arc, we work hard and have fun too. Ourvalues These values guide how we work together 1 OPERATE AS AN OWNER Bring an ownership mentality to everything you do. Always strive for excellence. Be an Arc-itect others can trust and count on. 2 WIN WITH OUR CUSTOMERS Become customer-obsessed. Go out of your way to help customers in any way you can. When our customers win, we win. 3 THINK BIG We're disrupting a multi-trillion dollar financial services industry. Find the fast moving waters and don't be afraid to change course. Thrive in ambiguity and seek disruption. Take big swings. Benefits of becoming an Arc-itect Perks and benefits to help you do your best work. MEANINGFUL IMPACT As an early employee, you'll influence key strategic decisions, shape the culture, and play a major role in our success. We are flat and lean, so you'll have the opportunity to contribute to every facet of the business. COVERAGE WHERE IT COUNTS You'll have access to best-in-class medical, dental, and vision coverage and a monthly health and wellness stipend from day one. Mental health resources, learning & development stipends, and more are coming soon. MAXIMIZE YOUR MONEY Arc takes pride in benchmarking comp. packages (salary & equity) to the highest-paid talent-pools in the U.S. REST AND RECHARGE We all perform our best when we feel our best, that's why all Arc-itects receive unlimited PTO, paid holidays, flexible remote work options, and paid parental leave. INCLUSIVITY AT OUR CORE We currently provide dedicated funding for our affinity-groups and their hosted-events, and we offer bi-weekly volunteering opportunities. We plan to partner with local organizations and build out our suite of employee perks and benefits as we develop and mature as an organization. COMMITMENT TO THE COMMUNITY We recently took the Conscious Culture Pledge. Being a conscious company means that we consciously take action to foster an inclusive and diverse workplace. It starts with our hiring practices, and continues throughout our evolving benefits package. OpenrolesDon't see the perfectrole? Reach out to us! We're always looking to bring aboard people who are curious, action-oriented and passionate about leveling the playing field for startups. #J-18808-Ljbffr

Company Qualcomm Technologies, Inc. Job Area Engineering Group, Engineering Group > ASICS Engineering As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives communication and data processing transformation to help create a smarter, connected future for all. We are seeking a highly motivated and technically skilled AI Applications Engineer to help lead the development and deployment of artificial intelligence solutions aimed at improving silicon & assembly yield analysis and advanced diagnostics in semiconductor manufacturing. This role bridges the gap between advanced machine learning techniques and semiconductor test engineering, with a focus on extracting actionable insights from complex data to enhance product quality and manufacturing efficiency. Key Responsibilities AI Strategy & Development Design and implement AI/ML models to analyze silicon yield data and identify patterns, anomalies, and root causes of failures. Develop predictive models to forecast yield trends and proactively address potential issues. Apply deep learning and statistical techniques to improve scan diagnostic resolution and fault localization. Data Engineering & Analysis: Collaborate with test engineering teams to collect, clean, and structure large-scale test and yield datasets. Integrate data from ATE (Automated Test Equipment), DFT (Design for Test), and fab & assembly process logs for comprehensive analysis. Tool & Workflow Integration: Build scalable pipelines and tools that integrate AI models into existing diagnostic and yield analysis workflows. Work closely with EDA vendors and internal software teams to enhance tool capabilities with AI-driven features. Cross-Functional Collaboration: Partner with design, test, and manufacturing teams to understand challenges and translate them into AI solutions. Communicate findings and recommendations to stakeholders through clear visualizations and reports. Minimum Qualifications Bachelor's degree in Science, Engineering, or related field and 6+ years of ASIC design, verification, validation, integration, or related work experience. Master's degree in Science, Engineering, or related field and 5+ years of ASIC design, verification, validation, integration, or related work experience. PhD in Science, Engineering, or related field and 4+ years of ASIC design, verification, validation, integration, or related work experience. Preferred Qualifications Master's or Ph.D. in Electrical Engineering, Computer Science, Data Science, or related field. Strong coding skills in Python and experience building AI-driven applications. Hands‑on experience with GenAI concepts (LLMs, RAG, prompt engineering) and frameworks like LangChain. Solid foundation in data analytics and ability to learn semiconductor workflows quickly. Excellent communication skills in English; proven ability to lead technical initiatives. Strong understanding of semiconductor test methodologies, scan diagnostics, and yield analysis. Familiarity with DFT concepts, fault models, and EDA tools (e.g., Synopsys, Cadence). Experience with AI applications in semiconductor manufacturing or test engineering. Background in deploying AI models in production environments. Equal Opportunity Employer Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll‑free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. To All Staffing and Recruiting Agencies Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/ applications. Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification. Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. Pay range and Other Compensation & Benefits $164,000.00 - $246,000.00 The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales‑incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer - and you can review more details about our US benefits at this link. If you would like more information about this role, please contact Qualcomm Careers. #J-18808-Ljbffr

A leading insurance company in California is seeking a Senior Staff Engineer to drive technical innovation and enhance existing systems. You will collaborate closely with product teams, lead a technical roadmap, and mentor others while utilizing your extensive experience in software development, cloud services, and modern programming languages. This role offers a competitive salary range and a vibrant workplace culture. #J-18808-Ljbffr

A medical technology company in San Francisco is seeking a Machine Learning Engineer to leverage vast medical imaging data in training deep neural network models. You will work on enabling a surgical robot to understand anatomy, empowering doctors to perform safe procedures. The ideal candidate should have at least 2 years of experience in machine learning engineering, expertise in Python, and familiarity with image-based neural networks. Join us in revolutionizing access to life-saving interventions. #J-18808-Ljbffr

We're looking for a Customer Success Engineer II to drive the success of Procore's French Speaking customers in Canada. In this role, you'll be the product champion of Procore and serve as a subject matter expert. You will succeed in this role when the customer succeeds in adopting and realizing business performance gains from their investment in Procore. You will literally be helping improve the lives of our construction customers by connecting them on a global platform. As a successful Customer Success Engineer II, you'll help organizations understand best practices around construction technology and solutions, and the many business benefits they can provide. You'll work in a highly collaborative, creative, and driven environment that values openness, optimism, and ownership. In this role, you'll leverage your consultative-mindset and knowledge of the construction industry and Procore's software platforms to provide clients with important recommendations on how to maximize the value of their Procore technology, and what other products they can benefit from. You'll partner closely cross-functionally with Sales, PS, Support, Product and Marketing. Successful candidates are passionate about construction and technology. This position reports to the Manager, Customer Success and can be based remotely within Canada. We're looking for candidates to join our team immediately! What you'll do: Make data-driven recommendations to your customers on how they can optimize the value of Procore, based on customer analytics and industry best practices. Craft value-based presentations that address customer business problems and accelerate the adoption of the Procore platform Provide product roadmap and product release updates to your customers so that they can benefit from our leading-edge technology Drive in product demonstrations and coordinate multiple technical resources, both internal and external Serve as a technical account manager by providing the highest level of responsiveness and customer service and to your clients, through clear and effective communication Foster a positive team culture by supporting and mentoring your fellow Procorians and collaborating with all levels of the organization to develop best practices. Develop a mastery of Procore's products, professional services, and industry best practices Up to 50% travel to client sites (may include domestic and international), industry events, and other Procore offices What we're looking for: Fluent in French (speaking and writing) 2+ years of Construction industry expertise 2+ years of Customer Success, Professional Services, Technical Pre-Sales experience Ability to leverage strong technical aptitude to master Procore's product offerings, business model, services, and emerging technologies Ability to work cross-functionally and collaboratively with multiple stakeholders on time-sensitive projects Outstanding presentation and communication skills both in-person and through virtual meetings, and in writing Strong analytical and problem-solving skills to synthesize relevant and impactful intelligence from ambiguous data Understanding of the construction industry across different verticals (general contracting, subcontracting, real estate development, etc.), with previous experience as a construction Project Manager, Site Super, Project Finance Manager, Estimator, or Project Engineer preferred Bachelor's degree in Construction Management, Civil Engineering, Mechanical Engineering, Information Systems, or CS preferred, along with experience managing project construction including bidding, procurement, RFIs, submittals, drawings, specifications, documents, schedule, quality control, and safety Additional Information Base Pay Range: 96,000.00 - 132,000.00 CAD Annual On Target Earning Range: 120,000.00 - 165,000.00 CAD Annual This role may also eligible for Equity Compensation. Procore is committed to offering competitive, fair, and commensurate compensation, and has provided an estimated pay range for this role. Actual compensation will be based on a candidate's job-related skills, experience, education or training, and location.

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. YOUR PROFILE * Intune Management knowledge * Experience with Intune administration and configuration * Mobile phone (iPhone) management * Excellent troubleshooting and problem-solving skills * English and German language is must have YOUR TASKS * Enterprise Mobility - iPhone device management * Configure, deploy, and maintain Microsoft Intune * Provide technical support and troubleshooting for mobile devices * Doing health checks for the systems * Align parameter changes * Standard run operation * Monitoring of mobile device infrastructure WHAT YOU'LL LOVE ABOUT WORKING HERE * Practical benefits: yearly financial bonus, private medical care with Medicover with additional packages (e.g., dental, senior care, oncology) available on preferential terms, life insurance and access to NAIS benefit platform. * Access to over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, Pluralsight, TED Talks, Coursera and Udemy Business materials and trainings. * Cutting-Edge Technology: Position yourself at the forefront of IT innovation, working with the latest technologies and platforms. Capgemini partners with top global enterprises, including 145 Fortune 500 companies. * Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details. GET TO KNOW US Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued. Do you want to get to know us better? Check our Instagram - @capgeminipl or visit our Facebook profile - Capgemini Polska. You can also find us on YouTube. ABOUT CAPGEMINI Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members globally in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. Apply now!

Role Description As a Product Engineer at Dropbox, you will play a pivotal role in shaping the future of collaboration and file sharing. Your responsibilities will revolve around developing and enhancing our suite of Dropbox Products to deliver exceptional user experiences. You will work closely with cross-functional teams, turning innovative ideas into robust, scalable, and user-friendly features. This year, Dropbox is on a mission to expedite the creation and implementation of AI-enable products by providing a comprehensive AI technology stack that facilitates speedy prototyping and reliable deployment of AI-driven functionalities. Our Engineering Career Framework is viewable by anyone outside the company and describes what's expected for our engineers at each of our career levels. Check out our blog post on this topic and more here. Responsibilities Write and maintain high performance Java code from day 1. Debug and optimize database queries and schemas, including the creation of indices as needed and the resolution of deadlocks when they happen. Write resilient distributed software that integrates with 3rd parties, such as Google Calendar, Slack, Office 365, Asana, Linear, and more. Develop REST (and perhaps GraphQL) services to be consumed by the Reclaim front end to start and eventually by 3rd parties. Participate in the process of continuous deployment, including multiple code reviews and deploys per day. Debug customer issues using logs, metrics, and traces. Autonomously deliver ongoing business impact across a team, product capability, or technical system. Collaborate effectively with cross-functional teams, including product managers, designers, and other engineers. Excellent problem-solving skills and the ability to make effective tradeoffs between technical requirements and business goals. Mentor junior engineers and contributing to the overall growth and success of the engineering team. Adapt to a dynamic and fast-paced work environment, with a focus on continuous learning and professional development. Many teams at Dropbox run Services with on-call rotations, which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation, all engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying. Requirements 8+ years of professional experience in Java backend development, with a strong track record of building and maintaining high-performance, scalable systems. BS degree or higher in Computer Science or a related technical field. (e.g., physics or mathematics), or equivalent technical experience. Proven ability to thrive in agile, fast-paced environments, including comfort with continuous deployment practices and rapid iteration. Passion for customer advocacy and support, with a user-first mindset and experience building systems that solve real customer pain points. Delivered tangible results, from conceptualization to implementation, while making significant contributions to the success of the project. Experience in developing web applications, demonstrating a deep understanding of the intricacies involved in building robust and scalable systems. Preferred Qualifications Deep expertise in AWS (or similar cloud platforms), including hands-on experience designing and operating cloud-native infrastructure. Strong proficiency in SQL and Postgres, including schema design, performance tuning, and operational troubleshooting. Familiarity with modern observability tools and practices, including monitoring, logging, and tracing in distributed systems. Compensation US Zone 1 This role is not available in Zone 1 US Zone 2$202,700-$274,300 USDUS Zone 3$180,200-$243,800 USD

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. Join the Affirm team as a Senior Staff Machine Learning Engineer and become a pivotal part of our innovative ML team. Our team is dedicated to Affirm's mission of revolutionizing financial services with transparency and inclusivity at its core. We are utilizing advanced machine learning techniques ensuring responsible and accessible financial products. In this role, you will help shape the future of machine learning at Affirm. You'll partner with ML Platform, engineering, product, and risk leaders to design, implement, and scale advanced modeling approaches that drive critical decisions across the company. You will elevate our modeling capabilities, influence architectural direction, and ensure our systems can support increasingly sophisticated workloads. You will mentor senior engineers, bring clarity to complex, ambiguous problems, and contribute to a cohesive long-term ML strategy. If you are passionate about modern machine learning and excited to drive high-impact innovation across a growing organization, Affirm is the place for you. What you'll do You will define and drive multi-year, multi-team technical strategy for machine learning across Affirm, ensuring alignment with company-wide priorities and influencing the roadmaps of partner teams and platforms. You will lead the design, implementation, and scaling of advanced ML systems, setting the architectural direction for complex, cross-functional initiatives and ensuring systems remain reliable, extensible, and prepared for increasingly sophisticated modeling workloads. You will partner deeply with ML Platform, product, engineering, and risk leadership to shape long-term modeling capabilities, define new opportunities for ML impact, and guide infrastructure evolution required for next-generation ML methods. You will provide broad technical leadership across the ML organization, mentoring senior engineers, elevating design and code quality, and spreading ML expertise through documentation, talks, and cross-org guidance. You will drive clarity and alignment on ambiguous, high-stakes technical decisions, resolving cross-team tensions, balancing competing priorities, and exercising judgment optimized for the broader engineering organization. You will champion operational and system excellence at the area level, owning the long-term health, availability, and evolution of critical ML systems, and ensuring robust testing, monitoring, and reliability practices across teams. What we look for You have 10+ years of experience researching, designing, deploying, and operating large-scale, real-time machine learning systems, with a proven record of driving technical innovation and delivering measurable business impact. Relevant PhD can count for up to 2 YOE. You have experience leading end-to-end ML system design, from data architecture and feature pipelines to model training, evaluation, and production deployment. You use distributed frameworks such as Spark, Ray, or similar large-scale data processing systems. You are proficient in Python and ML frameworks, including PyTorch and XGBoost. You are experienced with ML tooling for training orchestration, experimentation, and model monitoring, such as Kubeflow, MLflow, or equivalent internal platforms. You have a strong understanding of representation learning and embedding-based modeling. You possess deep expertise in neural network-based sequence modeling, including architectures such as Transformers, recurrent, or attention-based models, and multi-task learning systems. You are comfortable designing and optimizing models that learn from sequential or temporal event data at scale. You have deep hands-on experience with large-scale distributed ML infrastructure, including streaming or batch data ingestion, feature stores, feature engineering, training pipelines, model serving and inference infrastructure, monitoring, and automated retraining. You provide strong technical leadership: defining long-term strategy, guiding research direction, and aligning work across teams. You are recognized as a trusted expert who can drive clarity and execution even in ambiguous problem spaces. You demonstrate exceptional judgment, collaboration, and communication skills, enabling effective technical discussions with engineers, researchers, and executives. You mentor senior engineers, foster technical excellence, and contribute to a culture of continuous learning. You have strong verbal and written communication skills that support effective collaboration across our global engineering organization. This position requires equivalent practical experience or a Bachelor's degree in a related field. Pay Grade - R Equity Grade - 15 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (CA, WA, NY, NJ, CT) per year: $260,000 - $310,000 USA base pay range (all other U.S. states) per year: $232,000 - $282,000 #LI Remote Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities. We're extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include: Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount We believe It's On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process. [For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.

Waabi, founded by AI pioneer and visionary Raquel Urtasun, is an AI company building the next generation of self-driving technology. With a world class team and an innovative approach that unleashes the power of AI to “drive” safely in the real world, Waabi is bringing the promise of self-driving closer to commercialization than ever before. Waabi is backed by best-in-class investors across the technology, logistics and the Canadian innovation ecosystem. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: ************ You will...- Be part of a team of multidisciplinary Engineers and Research Scientists using an AI-first approach to enable safe self-driving at scale.- Lead the design and development of automotive-grade electrical distribution systems, including wire harnesses, connectors, load analysis, pin outs and vehicle networks.- Develop complex 3D CAD assemblies that integrate COTS and proprietary hardware across diverse vehicle zones.- Tailor integration strategies for various vehicle platforms (passenger cars to heavy-duty trucks) while adhering to specific technical requirements.- Deliver production-ready 2D and 3D CAD packages, applying GD&T and detailed specifications to ensure precision fabrication. Includes development and upkeep of device transmittals.- Utilize deep knowledge of injection molding, machining, sheet metal, and casting to optimize part design for manufacturability.- Oversee technical implementation from initial prototyping through final vehicle launch, collaborating with build technicians to validate hardware performance.- Resolve complex electromechanical interface issues between proprietary technology and OEM platforms through rigorous diagnostics.- Manage end-to-end subsystem details, including BOMs and mass roll-ups, while ensuring adherence to safety and regulatory standards. Qualifications:- Bachelor of Science in Mechanical, Electrical, or related engineering disciplines.- 5+ years of automotive or aerospace harness assembly design and release experience.- Experience with electrical harness and routing CAD design in the automotive, autonomous vehicle industry or equivalent.- Experience / understanding with harness sub-components, rapid proto-harnessing sub-assembly, and form-board production assembly processes.- Hands-on experience and willingness to build rapid-prototypes, including supporting the procurement of necessary components.- Effective ability to package harness in 3D virtual environment, understanding. non-compliant ergonomics, tach-times, and vehicle assembly sequencing.- Experience packaging harnesses with consideration of communication protocol circuits (ex: CAN/LIN/Base T-1000/video, lighting signals, etc.).- Industry standard knowledge of design verification testing required for various Harness Assemblies.- Strong 2D CAD experience and proficiency with Zuken, Capital, MentorGraphics, Arcadia, or etc.- Ability to interface with connector, PDC, vehicle architecture and systems engineers to manage all electrical aspects of wiring design.- Proficient in Google Workspace (formerly Google Suite).- Open-minded and collaborative team player with the willingness to help others.- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions. The US yearly salary range for this role is: $155,000 - $230,000 USD in addition to competitive perks & benefits. Waabi US Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.

SummaryGE HealthCare is accelerating its transformation through a series of strategic “AI Big Bets” in Commercial excellence, Logistics optimization, Inventory management, and Manufacturing innovation. The Enterprise AI team, part of the Chief Data and Analytics Office, is at the forefront of delivering robust, enterprise-grade AI and ML solutions that drive measurable business impact at scale. You will be at the forefront of developing and delivering innovative GenAI and Agentic AI solutions that generate actionable business insights and transform key areas within GE HealthCare, including Finance, Commercial, Supply Chain, Quality, Operational Excellence and Lean, and Manufacturing. GE HealthCare is a leading global medical technology and digital solutions innovator. Our mission is to improve lives in the moments that matter. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world.Job Description We are seeking a highly skilled and motivated AI Engineer to join our dynamic team. You will play a pivotal role in shaping and executing our AI strategy. You'll collaborate across a unified, cross-functional delivery organization-partnering with experts in data engineering, ML engineering, analytics, and GenAI development-to solve complex business challenges and deliver scalable solutions. Responsibilities Lead development of AI-driven solutions including but not limited to: Designing RAG models, agent workflows, and multi-step reasoning models. Unstructured data analysis. Integrating ML/GenAI models and LLM orchestration into end-user AI applications. Conduct research and stay updated with the latest advancements in AI technologies. Translate AI research into business solutions. Collaborate with cross-functional teams to integrate AI solutions into various applications and products. Analyze large datasets to extract meaningful insights and improve AI model performance. Design and conduct experiments to validate and optimize AI models. Present findings and recommendations to stakeholders in a clear and concise manner. Collaborate with the MLOps & AIOps teams to establish standards for AI model development, deployment and monitoring. Proactively measure and communicate value generation from developed AI solutions to business and IT leaders across GE HealthCare. Proactively identify new opportunities to further leverage AI solutions - prioritizing opportunities with the biggest potential benefit to the business. Ensure best practice adoption within the Enterprise AI team, applying appropriate levels of technical capability, standardization, and subject matter expertise. Drive a culture of analytics and fact-based decision making through the utilization of standard methodologies and approaches. Operating as a thought leader and visionary, with the ability to influence executive leaders in the strategic use of ML, AI, GenAI, and advanced analytics in decision-making and value creation. Requirements Bachelors degree in Computer Science, Data Science, Engineering or a STEM related field with a focus on neural networks and computer vision. or related with 5+ years of hands-on experience in developing and deploying AI models and applications. Deep expertise in the latest AI tools and platforms such as MCP, A2A, AWS Bedrock, Azure AI Foundry, LLM foundational models, and agentic orchestration & monitoring platforms such as LangGraph/LangSmith. Deep expertise in GenAI model development, AI Agent design and orchestration, Computer Vision, Deep Learning, Transformers, Self-Supervised Learning, and LLM fine tuning. Experience implementing transformers, self-supervised learning, and generative AI models in reliable, maintainable APIs or microservices. Ability to work with large-scale datasets and perform efficient data analysis. Expertise in transformers, self-supervised learning, and generative AI models. Ability to continuously track, evaluate, adapt the latest advancements in AI technology to business use cases across GE HealthCare. Strong problem-solving skills and the ability to think critically and creatively. Excellent communication skills and the ability to work collaboratively in a team environment. PhD preferred. We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership -always with unyielding integrity. Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you'd expect from an organization with global strength and scale, and you'll be surrounded by career opportunities in a culture that fosters care, collaboration, and support. #LI-BR3 #LI-Remote We will not sponsor individuals for employment visas, now or in the future, for this job opening. For U.S. based positions only, the pay range for this position is $139,200.00-$208,800.00 Annual. It is not typical for an individual to be hired at or near the top of the pay range and compensation decisions are dependent on the facts and circumstances of each case. The specific compensation offered to a candidate may be influenced by a variety of factors including skills, qualifications, experience and location. In addition, this position may also be eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). GE HealthCare offers a competitive benefits package, including not but limited to medical, dental, vision, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, and tuition reimbursement. GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees. Relocation Assistance Provided: Yes Application Deadline: January 31, 2026

Job Description Synthesis Health Who We Are We're a mission- and values-driven company with tremendous dedication to our customers. Our 100% remote team is dedicated to a common goal - to revolutionize healthcare through innovation, collaboration, and commitment to our core values and behaviors. About the Opportunity We are looking for a Sr. Staff Platform Engineer to serve as the key steward and architect of our medical data domain. In this role, you will own the integrity of our logical data model, ensuring that every service we build and every integration with customer systems preserves the accuracy and fidelity of our patient data. Your primary focus will be on the interaction between our services and our data. You will define the patterns that allow our systems to interact with complex medical data structures in the most elegant, flexible, and performant way possible. You will act as the guardian of our domain model, ensuring that as we scale, we never compromise on data correctness or structural coherence. This is a leadership role for a hands-on technical visionary. You will solve deep, structural problems regarding data consistency and interoperability. As a key voice on the Architecture Review Board (ARB), you will be the ultimate gatekeeper for decisions involving the data model, ensuring that our architecture evolves to support new clinical capabilities without accruing technical debt. If you are an expert in healthcare data standards and modern cloud engineering, this is your chance to build a legacy. Key Responsibilities Medical Data Strategy & Domain Integrity Domain Model Stewardship & Service Interaction: You will define and enforce the integrity of our logical data model. You will architect the patterns for how all internal services and external integrations interact with this model, ensuring data accuracy and structural flexibility are preserved across the entire platform. High-Throughput Ingestion Architecture: You will architect and optimize our ingestion pipelines to handle massive bursts of DICOM images and HL7 messages without latency or data loss. Standards & Interoperability: You will lead the strategy for FHIR, HL7, and DICOM interoperability, ensuring our platform speaks the language of modern healthcare fluently. Compliance & Security by Design Automate Compliance: You will design systems that enforce HIPAA, ISO 27001, and SOC2 requirements at the infrastructure and code level. You will build "compliance as code" to ensure audit readiness without manual toil. Data Governance: You will define the patterns for data residency, retention, and deletion, ensuring we meet strict legal and contractual obligations across global deployments. Architectural Leadership & Influence Systemic Data Consistency: You will solve hard problems regarding distributed data consistency, helping us move away from tight coupling while ensuring data correctness across services. Elevate the Platform: You will be the subject matter expert (SME) for healthcare data within the engineering organization, mentoring Staff and Senior engineers on the nuances of medical data standards and distributed data patterns. What We're Looking For Deep Healthcare Data Expertise: 10+ years of engineering experience with a specific focus on healthcare data. You are an expert in DICOM (tags, transfer syntaxes, WADO/QIDO) and HL7/FHIR. Scale & Performance: Proven track record of building data pipelines that handle terabytes of medical imaging data. You understand the specific storage and retrieval challenges of pixel data vs. metadata. Language Fluency & Strategy: Deep expertise in TypeScript/Node.js is required. As we pivot performance-critical paths toward Go, experience leading similar language transitions or strong Go proficiency is highly desirable. Deep Technical Mastery: Deep expertise in schema design for both SQL (PostgreSQL) and NoSQL environments. Experience with data lakes and warehousing (BigQuery/Snowflake) in a healthcare context. Experience with stream processing (Kafka/Dataflow) for real-time DICOM and HL7 feeds. Expertise in container orchestration (Kubernetes) at scale. Compliance expertise: You have built systems that are HIPAA/GDPR compliant from the ground up and understand the technical implications of PHI (Protected Health Information) protection. Communication at Scale: You can effectively communicate the business value of architectural investments to executive leadership while diving deep into the code with engineers. Preferred Qualifications Imaging Physics Knowledge: Understanding of the physics of medical imaging (CT, MRI, X-Ray) and how it impacts data storage and rendering. AI/ML Pipeline Experience: Experience architecting data flows that feed AI models for clinical decision support. PACS/VNA Architecture: Experience architecting or operating Picture Archiving and Communication Systems (PACS) or Vendor Neutral Archives (VNA). Why You Should Join Us Solve Our Toughest Puzzles: This is a high-leverage role. You will be working on the most impactful technical challenges that are critical to the company's success. Define the Architecture: You won't just be maintaining a system; you will be a primary author of its future state, with the autonomy to make it happen. Lead from the Front: This is a chance to establish yourself as a key technical voice in a rapidly growing company. Competitive Compensation & Benefits: We offer a strong salary, meaningful equity, a 100% remote culture, and significant opportunities for growth. We are a values-driven company. Our values: Clinical service first. Collaborate with our customers. Listen, respect, learn. Innovate to excel. The behaviors we look for: Be nice. Be creative. Be honest. Be helpful. Compensation and Benefits Typical salary range for this position is $170,000 - $205,000. However, Synthesis participates in location based hiring and salary ranges can be adjusted based on candidate's residence. Other benefits include, but are not limited to: Medical, Dental, Vision, "Use as needed" vacation policy, and participation in our employee option program. Synthesis Health is an Equal Employment/Affirmative Action employer. We do not discriminate in hiring on the basis of sex, gender identity, sexual orientation, race, color, religious creed, national origin, physical or mental disability, protected veteran status, or any other characteristic protected by federal, state, or local law.

Agility Robotics is a pioneer. Our robot, Digit, is the first to be sold into workplaces across the globe. Our team is differentiated by its expertise in imagining, engineering, and delivering robots with advanced mobility, dexterity, intelligence, and efficiency -- robots specifically designed to work alongside people, in spaces built for people. Every day, we break through engineering challenges and invent new solutions and capabilities that will one day make robots commonplace and approachable. This work is our passion and our responsibility: our mission is to make businesses more productive and people's lives more fulfilling. About the Role We are seeking a Senior Product Compliance Engineer with a strong focus on machinery and robotics to ensure our products meet all applicable regulatory and safety requirements. In this role, you will be responsible for guiding products from design through market launch, ensuring conformity across global markets with a focus on CE marking requirements and relevant EU directives. You will work closely with mechanical, electrical, system and software engineering teams to embed compliance into product development while supporting risk assessment, technical documentation, and certification activities. This is a remote-friendly role with a preference for candidates located near our offices in either San Francisco Bay Area or Salem, OR for in-person collaboration, meetings, and events. About the Work Lead CE conformity assessments for machinery and robotic systems in accordance with EU regulations Interpret and apply relevant directives and regulations, including but not limited to: Machinery Directive / Machinery Regulation (2006/42/EC / EU 2023/1230) Low Voltage Directive (LVD) EMC Directive Radio Equipment Directive (RED), where applicable Perform and review risk assessments in accordance with ISO 12100 Ensure compliance with relevant harmonized standards (e.g., EN ISO 13849, EN IEC 62061, EN 60204-1, ISO 10218) Support the creation and maintenance of Technical Files, including: Risk assessments Schematics and drawings Test reports Declarations of Conformity User manuals and safety instructions Coordinate and support testing activities (EMC, electrical safety) Interface with Notified Bodies, test laboratories, and regulatory authorities as required Provide compliance guidance during product design reviews and change management Monitor regulatory updates and assess impact on existing and future products Support internal audits and continuous improvement of compliance processes About You Bachelor's or Master's degree in Engineering (Mechanical, Electrical, Mechatronics, Robotics, or related field) 5+ years of experience in CE compliance for machinery, automation, or robotics Strong knowledge of EU CE marking requirements and conformity assessment procedures Hands-on experience with risk assessment and safety-related control systems Ability to read and interpret electrical schematics and mechanical drawings Experience working cross-functionally with engineering and product teams Strong documentation, analytical, and communication skills Bonus Points Experience with collaborative robots (cobots) or industrial robotic cells Familiarity with international standards (UL, ANSI, IEC) is a plus Experience supporting products through external certification or Notified Body review Knowledge of software safety considerations in machinery and robotics Physical and Environmental Requirements This role requires the ability to complete the following physical activities in warehouse-like environments: Move yourself in different positions to accomplish tasks while stooping and holding 10lbs. Remain in a stationary position frequently, often standing or sitting for prolonged periods. Adjust or move objects up to 50lbs. in all directions. Able to work in various positions / environments including overhead reaching, kneeling, crawling, twisting and stretching on dusty concrete floors, rubber mats and steel. Routinely required to; talk and hear; use hands to touch, feel, handle, push/pull and move objects; see details of objects that are less than a few feet away; see differences between colors, shades, and brightness. This job requires PPE inclusive of but not limited to safety-toe shoes, gloves and safety glasses. The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions Full-time Employees are eligible for Benefits: 401(k) Plan: Includes a 6% company match. Equity: Company stock options. Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees. Benefit Start Date: Eligible for benefits on your first day of employment. Well-Being Support: Employee Assistance Program (EAP). Time Off: Exempt Employees: Flexible, unlimited PTO and 10 company holidays, including a winter shutdown. Non-Exempt Employees: 10 vacation days, paid sick leave, and 10 company holidays, including a winter shutdown, annually. On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations. Parental Leave: Generous paid parental leave programs. Work Environment: A culture that supports flexible work arrangements. Growth Opportunities: Professional development and tuition reimbursement programs. Relocation Assistance: Provided for eligible roles. All of our roles are U.S.-based. Applicants must have current authorization to work in the United States. Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment. Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly. Apply Now: ***************************

About Us Our company is on a mission to reduce food waste and make high-quality, affordable food accessible to everyone. Through our innovative app-based marketplace, we connect shoppers with discounted perishable items while helping retailers turn would-be waste into revenue and meaningful environmental impact. We're growing quickly across North America and partnering with retailers of all sizes to expand our reach. If you're passionate about creating real change for people and the planet, we'd love for you to join us. Your work here will directly contribute to a mission that helps families save money, reduces waste, and builds a more sustainable future. What We're Looking For We're hiring a hands-on Tech Lead / Senior Staff Full-Stack Engineer to own and evolve core services and customer-facing experiences. You'll be a TypeScript/JavaScript expert across our stack, including shipping backend services (Node.js + Go), modern React/Next.js frontends, and driving architecture, reliability, and developer productivity across the org. This is a player-coach role: you'll write production code, lead cross-team architecture, mentor engineers, and work closely with Product and Business leaders. What You'll Do End-to-end ownership & delivery Own, design, build and operate critical services and customer experiences across backend and frontend. Ship high-impact features from design through production; own the full lifecycle (coding, testing, CI/CD, rollout, and runbooks). Troubleshoot complex production problems and lead reliability and performance improvements. Architectural leadership Define and drive architecture for full-stack systems: APIs, data models, frontend architectures (React/Next.js SSR/ISR), and service boundaries. Simplify systems and reduce operational complexity while improving scalability and maintainability. Set standards for TypeScript usage, API design, testing, and observability. Developer experience & platform Lead initiatives to improve developer velocity - CI/CD pipelines, local dev environments, monorepo / package strategies, infra-as-code, and tooling. Drive SLO/SLI thinking, observability (metrics, logs, tracing), and robust incident response / post-mortems. People & cross-functional partnering Mentor and coach engineers across teams; provide technical reviews and career growth support. Partner closely with Product, Design and Business leaders to translate product goals into technical roadmaps and concrete plans. Influence cross-team priorities, identify technical risk, and balance tradeoffs between speed, quality and technical debt. What You Bring 8+ years of professional software engineering experience with recent, hands-on full-stack development. Strong JavaScript & TypeScript expertise: you write idiomatic, type-safe, maintainable TS across backend and frontend. Extensive experience building and operating Node.js services (Express / Koa / Fastify or equivalent). Production experience with React and Next.js (server-side rendering, incremental/static regeneration, routing, data fetching). Experience with Go (Golang) for backend services or the ability to rapidly learn & lead Go services in production. Solid cloud experience (AWS/GCP/Azure), containers and orchestration (Docker, Kubernetes). Practical knowledge of CI/CD, automated testing, infra as code, and observability (metrics/logs/traces). Experience designing robust data models and working with relational and NoSQL databases at scale. Excellent communication, proven mentorship experience, and the ability to drive cross-team technical initiatives. Nice to Have Experience with monorepos, TypeScript build tooling, and package management (pnpm/yarn/lerna). Familiarity with GraphQL, event streaming (Kafka), job orchestration (Airflow), or modern analytics platforms. Prior experience at consumer marketplaces, retail/grocery tech, logistics, or high-throughput systems. Experience leading large cross-team projects and defining org-level technical strategy. What We Offer Competitive salary, equity, and comprehensive benefits. 100% remote work with flexibility and trust. Mission-driven work that reduces food waste and expands access to affordable food. A fast-growing, collaborative team with big ambitions. Real opportunities for career growth and professional development. Flashfood is an equal opportunity employer and is committed to building a diverse, inclusive, and equitable workplace. We welcome candidates from all backgrounds and experiences, and we're dedicated to creating an environment where everyone feels supported and empowered to do their best work.

Who We Are We are a mission-driven technology company with a long-standing history of shaping the internet for the better. Our flagship products are on every desktop worldwide, and the team is now focused on building the next generation of technologies across areas such as AI, social media, and online security. As a privately held organization without shareholder pressure, we're able to prioritize long-term impact over short-term returns. We collaborate with talented engineers, researchers,and contributors worldwide to create products that allow people to take control of their online experiences. The Team & Role Our browser engineering group is made up of developers who are passionate about creating a fast, reliable, and intuitive web experience. This team builds and maintains the core features you interact with every day, ensuring they run smoothly, efficiently, and securely. We're now searching for a Senior Staff Machine Learning Engineer to help shape the future of our AI-powered features and tools. In this role, you'll contribute to building responsible, safe, and user-centered applications of machine learning and artificial intelligence. Senior Staff Engineers are recognized leaders in their areas of expertise. They influence product vision across multiple teams, transform high-level goals into coordinated execution, and set technical direction that guides others. A big part of the role also involves mentorship-supporting less experienced engineers as they take on new responsibilities-while working with leadership to build alignment and clarity across the organization. What you'll do Take ownership of broad, complex challenges and see them through from concept to delivery, partnering closely with designers, engineers, and other stakeholders to improve the web experience. Spot high-impact opportunities where large language models can meaningfully enhance the browser experience. Lead the creation, deployment, and integration of new AI and machine learning models, working closely with product managers, engineers, and designers. Keep pace with the latest research and advances in artificial intelligence, ensuring our solutions stay modern, effective, and forward-looking. Share knowledge and provide guidance to the team, helping strengthen overall AI expertise and thought leadership within the organization. What Skills / Experience You Need 8+ years of hands-on experience in machine learning engineering, including designing, training, and deploying models for real-world, user-facing products. Direct experience launching large language models or multimodal AI systems into consumer applications. Strong foundation in machine learning methods such as deep learning, NLP, reinforcement learning, and advanced LLM architectures, with proven depth in one or more of these areas. Ability to recognize complex, high-value problems and work across multiple teams to develop and execute the best solutions. Established record of technical leadership, showing success in building and shipping AI products while fostering collaboration, adaptability, and respect for diverse perspectives. Familiarity with both open-source AI tools and major cloud platforms (e.g., AWS, Azure, GCP). Background in experimental design, survey development, and large-scale A/B testing. Experience building AI systems that prioritize transparency, responsibility, and user needs. A pragmatic approach to balancing ambitious innovation with practical timelines, trade-offs, and safeguards. Comfortable thriving on a distributed, collaborative team. Nice to have: Background in on-device or edge machine learning. Contributions to open-source projects. Knowledge of browser ecosystems or architecture. Compensation, Benefits & Perks: Total Comp. approximately $425,000 (Base + Bonus) Full medical, dental, and vision benefits. Retirement plan with immediate vesting. Regular company-wide wellness days and generous paid time off, including your birthday. Professional development and well-being stipends. Paid parental leave and other family-friendly policies. Fully remote position with home office stipend. Why Us We're here to ensure technology serves people - not the other way around. Joining our team means building products that millions rely on daily while helping to shape a healthier, more human-centered digital future.

The Sr. Staff Engineer, AI will lead the architecture, delivery, and continuous improvement of agentic AI systems across multiple healthcare domains. This role will own complex initiatives end-to-end-setting technical direction, establishing quality and safety bars, and mentoring engineers-while ensuring solutions are compliant, reliable, and cost-efficient at scale. The Engineer will collaborate with cross-functional teams-including product managers, data engineers, and clinical experts-to develop solutions that are HIPAA/HITECH compliant, clinically relevant, and technically robust. Architect, engineer, and deploy multi-agent ecosystems (MCP/A2A/ACP) with clear boundaries, contracts, and observability-covering planning, tool-use, retrieval, and safety rails. Drive model selection, fine-tuning, evaluation design, red-teaming, and continuous feedback loops; codify standards for RAG, prompt governance, and context management. Use agentic frameworks (e.g., LangChain/LangGraph) to design modular, scalable agent architectures. Scale and harden production deployments with monitoring, drift detection, prompt/version control, A/B/ABn frameworks, cost/perf segmentation, and rollback playbooks. Partner with product/clinical leaders to define multi-quarter roadmaps and success metrics; translate clinical workflows into agent capabilities. Mentor & elevate the team: code reviews, design docs, internal talks, and guiding other engineers. Perform other duties that support the overall objective of the position. Education Required: Bachelor's degree (or higher) in Computer Science, Data Science, Artificial Intelligence, or a related field. Or, any combination of education and experience which would provide the required qualifications for the position. Experience Required: 8-12 years as a Data Scientist/AI Engineer with experience leading complex, cross-team projects to production. Deep expertise with Python and ML frameworks (PyTorch/TensorFlow) and agentic stacks (LangChain/LangGraph) with proven experience implementing RAG at scale and fine-tuning models. Demonstrated experience in safety, reliability, and cost governance for GenAI systems. Knowledge, Skills & Abilities: Knowledge of: Generative AI frameworks and architectures (Transformers, LLMs, diffusion models). Machine learning frameworks (PyTorch, TensorFlow, Scikit-learn). Healthcare data formats, privacy requirements (HIPAA), and integration challenges. Voice recognition and transcription technologies (preferred). Skill in: Programming in Python (preferred) or similar languages. Designing modular, scalable AI agent architectures. Prompt engineering, retrieval-augmented generation (RAG), and model context optimization. Problem-solving and analytical thinking. Ability to: Rapidly prototype and iterate on AI agent designs. Collaborate effectively across technical and clinical teams. Adapt in a fast-paced, mission-driven environment. Communicate technical concepts to non-technical stakeholders. The company has reviewed this to ensure that essential functions and basic duties have been included. It is intended to provide guidelines for job expectations and the employee's ability to perform the position described. It is not intended to be construed as an exhaustive list of all functions, responsibilities, skills and abilities. Additional functions and requirements may be assigned by supervisors as deemed appropriate. This document does not represent a contract of employment, and the company reserves the right to change this job description and/or assign tasks for the employee to perform, as the company may deem appropriate. NextGen Healthcare is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

👋🏼 We're Nagarro. We are a digital product engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale - across all devices and digital mediums, and our people exist everywhere in the world (18,000+ experts across 33 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in! Job Description By this point in your career, it is not just about the tech you know or how well you can code. It is about what more you want to do with that knowledge. Were you given the tools to go beyond solving for X? Can you help your teammates proceed in the right direction? Can you tackle the challenges our clients face while always looking to take our solutions one step further to succeed at an even higher level? Yes? You may be ready to join us. Additional Information Click here to access the application privacy notice

As a Senior Staff Engineer specializing in equipment for oral solid formulations, you will collaborate with and assist 6 facilities dedicated to solid oral dosages. We are seeking a professional with in-depth knowledge of Solid oral Dose manufacturing equipment. In this role you will provide recommendations on equipment requirements, engage on trouble shoot equipment, assess asset life cycle and support new equipment start ups. This role supports the commercial operations including root cause analysis and problem solving on machine issues on the sites. You will remove roadblocks and drive intensity to the operations, maintenance activities, and capital projects. You will work alongside the sites to guarantee capital project execution, establishment and oversight for all major investments to align with the business plans. This role will be a key partner and collaborator growing consistency in the OSD network. The position involves working closely with Quality, IT, Supply Chain, and Sustainability teams to guarantee that the Capital, Engineering, and Maintenance teams follow policies, master planning, shutdown planning, and fulfill company commitments. This is an outstanding opportunity to create an impact with Thermo Fisher Scientific. KEY RESPONSIBILITIES Technical domain authority on Oral Solid Dose Equipment Equipment Lifecycle Planning Maintenance Excellence Program Data and information exchange Capital project governance New Asset Start up and Readiness QUALIFICATIONS AND REQUIREMENTS Education Bachelors degree in Engineering or related field Masters Degree is desirable Experience: 10+ years experience in Engineering with a consistent track record Specific knowledge and experience with Oral Solid Dose Pharmaceutical manufacturing equipment Knowledge, Skills, Abilities: Knowledge of granulation, Compaction, Encapsulation, Coating equipment and Processes. Knowledge of Pharmacuetial regulatory requirements Outstanding leadership and management skills. Ability to implement global standards. Strong analytical and problem-solving skills. Experience in leading teams and/or initiatives is a plus Self-directed with strong partner development skills. Ability to lead and influence in a matrix and global environment. Consistent in delivering results.

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. Pinterest helps Pinners discover and do what they love. Homefeed is literally the first surface Pinners see when they open the app and so it forms the front-and-center of the Pinterest experience for 400M+ pinners every month. The Homefeed Relevance team's mission is to recommend inspiring & engaging pins for all our Pinners. We are looking for a Tech Lead Architect who can drive cross-team engineering efforts for shipping ML-driven product experiences to our pinners. You'll have the opportunity to work on various innovative projects of new product experiences, build large-scale low-latency systems and state-of-the-art machine learning models, and deliver great impact to our pinners and business metrics. What you'll do: Improve relevance and the user experience on Homefeed Work on state-of-the-art large-scale applied machine learning projects Improve the efficiency and reliability of large-scale data processing and ML inference pipeline Improve our engineering systems to improve the latency, capacity, stability and reduce infra cost What we're looking for: Languages: Python, Java Machine Learning: PyTorch, Tensorflow Big data processing: Spark, Hive, MapReduce 7+ years experience with Recommender system or User modeling, implementing production ML systems at scale 7+ years experience with large scale distributed backend service Experience in working in Deep learning and Generative AI models Experience in closely collaborating with product managers / designers to ship ML-driven user-facing product Bachelors in computer science or equivalent experience Relocation Statement: This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. In-Office Requirement Statement: We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection. This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country. #LI-REMOTE #LI-DM57 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only$227,871-$469,147 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.