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Upstart is the leading AI lending marketplace partnering with banks and credit unions to expand access to affordable credit. By leveraging Upstart's AI marketplace, Upstart-powered banks and credit unions can have higher approval rates and lower loss rates across races, ages, and genders, while delivering the digital-first lending experience their customers demand. More than 80% of borrowers are approved instantly, with zero documentation to upload. Upstart is a digital-first company, which means that most Upstarters live and work anywhere in the United States. However, we also have offices in San Mateo, California; Columbus, Ohio; and Austin, Texas. Most Upstarters join us because they connect with our mission of enabling access to effortless credit based on true risk. If you are energized by the impact you can make at Upstart, we'd love to hear from you! The Team Upstart's Machine Learning, Personal Loan Underwriting team is focused on leveraging machine learning to power Upstart's underwriting models. This team builds the underwriting model which determines credit decisioning at Upstart and plays a central role in overall performance with numerous challenging problems to solve. As a Machine Learning Engineer, PL UW at Upstart, you will collaborate with Research Scientists, Data Scientists, and other engineering departments. Your work will impact the team in a number of ways: Increase ML productivity through better software and infrastructure; improve how we research, train, deploy, serve and monitor our models. Reduce the time from idea to production and enable testing of new ideas to fulfill our mission of enabling access to credit more effectively. Design and implement code and algorithms to improve our model's predictive power. How you'll make an impact Build repeatable workflows and automation that allow scientists to focus on high-leverage tasks (methodology, writing, analysis) and reduce time spent on maintenance. Discover and develop a short and long-term roadmap of engineering improvements for the PL UW team. Explore new algorithms and methodologies for our machine learning models. Interface cross-functionally with other engineering teams to provide feedback and requirements for end-to-end high-quality systems. Qualifications Education and Experience Phd in a quantitative field with 0+ years of relevant experience Masters in a quantitative field with 2+ years of relevant experience Bachelors in a quantitative field with 4+ years of relevant experience Experience in Python Experience with Machine Learning Position location This role is available in the following locations: Remote Travel requirements As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S but are encouraged to spend high quality time in-person collaborating via regular onsite. The in-person sessions cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time. What you\'ll love Competitive Compensation (base + bonus & equity) Comprehensive medical, dental, and vision coverage with Health Savings Account contributions from Upstart 401(k) with 100% company match up to $4,500 and immediate vesting Employee Stock Purchase Plan (ESPP) Life and disability insurance Generous holiday, vacation, sick and safety leave Supportive parental, family care, and military leave programs Annual wellness, technology & ergonomic reimbursement programs Social activities including team events and onsite sessions, ERGs, and interest groups Catered lunches + snacks & drinks when working in offices #LI-REMOTE #LI-Associate Compensation At Upstart, your base pay is one part of your total compensation package. The anticipated base salary for this position is expected to be within the below range. Your actual base pay will depend on your geographic location. Individual pay is also determined by job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. In addition, Upstart provides employees with target bonuses, equity compensation, and generous benefits packages (including medical, dental, vision, and 401k). United States | Remote - Anticipated Base Salary Range $123,200-$170,500 USD Equal Opportunity Upstart is an Equal Opportunity Employer. We are dedicated to ensuring that underrepresented classes receive better access to affordable credit, and are committed to embracing diversity and inclusion in our hiring practices. We celebrate all cultures, backgrounds, perspectives, and experiences, and know that we can only become better together. Reasonable accommodations for applications, interviews, or pre-employment testing can be requested by emailing candidate_accommodations@upstart.com. ************************************************ #J-18808-Ljbffr

A technology consulting firm is seeking a Machine Learning Engineer with over 5 years of experience. This role involves leveraging expertise in Machine Learning and data analysis to solve critical problems. Candidates should have experience in design, deployment, and maintenance of ML pipelines. The position offers remote work and a pay range of $95 to $105 per hour, with optional benefits including PTO and 401(k) matching. #J-18808-Ljbffr

Who is Recruiting from Scratch:Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire.About the client : Title of Role: Machine Learning Engineer Location: San Francisco, CA Company Stage of Funding: Series A Office Type: Onsite (5 Days a Week) Salary: $140,000 - $240,000 + Equity (0.2% - 0.8%) Company Description We are partnering with a rapidly growing Series A healthcare AI company that's transforming how medical systems operate. Backed by premier investors including YC and General Catalyst, the company has raised $14M and is solving some of the most complex operational challenges in American healthcare using cutting-edge AI. Their flagship platform streamlines prior authorization workflows by analyzing EHR data, accelerating patient access to care, and improving provider revenue. Despite being early-stage, the company has already signed enterprise contracts with major U.S. health systems and is scaling quickly. They are looking for mission-driven engineers who are eager to make a meaningful impact in healthcare using modern machine learning and language models. What You Will Do Design and develop LLM-powered pipelines to process various medical documents, including handwritten clinical notes. Build production-ready question-answering systems that extract actionable insights from structured and unstructured patient data. Create ML solutions that automate integrations between EHR platforms and other healthcare infrastructure systems. Own ML features from research and experimentation to scalable deployment in real-world healthcare environments. Collaborate cross-functionally with the product and engineering teams to align machine learning solutions with business goals. Continuously iterate on and improve ML models, pipelines, and infrastructure to ensure performance and scalability. Ideal Candidate Background 5+ years of hands-on experience building and deploying production-grade machine learning systems. Strong expertise in training and fine-tuning large language models (LLMs), beyond basic API use. Deep understanding of ML frameworks such as PyTorch and TensorFlow. Proven success in roles at companies with mature ML environments (e.g., FAANG, AI startups, or top-tier ML-focused orgs). Prior work in document processing, information extraction, or question-answering systems. Preferred MS or PhD in Computer Science or a related STEM discipline, or equivalent industry research and production experience. Exposure to fast-paced startup environments with small, collaborative teams. Contributions to ML research or publications are a plus, but not required. Experience in healthcare tech or working with EHR data is a bonus. Compensation and Benefits Base Salary: $140,000 - $240,000 Equity: 0.2% - 0.8% stock options Visa Sponsorship: H1B transfers supported Work Schedule: Full onsite presence (5 days/week), working west coast hours Additional Perks: Join a tight-knit engineering team of 11, with high-impact ownership and the opportunity to help shape the future of healthcare AI from the ground up. #J-18808-Ljbffr

Odins3 Remote / Seattle Full-time Posted 685 days ago AI Development 3+ years $160K - $220K 0.05% - 0.2% equity Build and deploy ML models that power our AI website builder. Work on cutting-edge algorithms for automated web design and development. About This Role Join our ML Engineering team to build the brain behind our AI website builder. You'll develop sophisticated machine learning models that understand design principles, generate beautiful layouts, and create intelligent web experiences automatically. This role combines traditional ML engineering with creative applications in web design and development. You'll work with computer vision models for design analysis, NLP systems for content generation, and recommendation engines for design optimization. Our ML Engineers work across the full stack - from research and experimentation to production deployment and monitoring. You'll collaborate closely with our AI researchers, product team, and frontend engineers to bring cutting-edge ML capabilities to millions of users. Requirements 3+ years ML engineering experience Strong Python, TensorFlow/PyTorch background Experience with computer vision and NLP Knowledge of web technologies and design principles Experience with MLOps and model deployment Understanding of design systems and UI/UX principles Experience with cloud platforms (AWS, GCP, Azure) Knowledge of containerization and orchestration Experience with A/B testing and experimentation Strong data analysis and visualization skills Responsibilities Develop ML models for automated web design Deploy and monitor ML models in production Research and prototype new AI capabilities Optimize model performance and accuracy Build data pipelines for training and inference Collaborate with design team on AI‑generated layouts Contribute to ML platform and infrastructure Required Skills & Technologies Python TensorFlow PyTorch Scikit‑learn NumPy Computer Vision NLP MLOps Docker AWS Redis Airflow Git Equity package: 0.05% - 0.2%. Unlimited PTO and flexible hours. $4,000 annual learning budget. Top‑tier hardware and equipment. Conference attendance support. Health and wellness benefits. Team building and social events. Fully remote with optional quarterly in‑person sessions. Flexible schedule with some overlap with PST hours. Reporting Structure Reports to: Senior AI Developer. Collaborates with: AI Research team, Product Engineering, Design team. Job Summary Department: AI Development Experience: 3+ years Type: Full‑time Location: Remote / Seattle Equity: 0.05% - 0.2% Posted January 12, 2024 About Odins3 We're revolutionizing web development with AI‑powered tools that make creating beautiful, functional websites accessible to everyone. Join our innovative team and help shape the future of digital experiences. #J-18808-Ljbffr

San Francisco, United States | Posted on 01/14/2026 We're hiring a Machine Learning Engineer to lead our progression from teleoperation to autonomy. You'll use cutting-edge Vision-Language-Action (VLA) models and imitation learning to make our teleoperated robots increasingly autonomous over time. This role spans the full ML lifecycle: data capture and organization, model training and evaluation, deployment to edge devices, and continuous improvement based on real-world performance. You'll work at the intersection of robotics, computer vision, and foundation models-turning thousands of hours of human demonstrations into autonomous capabilities. What we do Avatar Robotics is building flexible robot fleets to revolutionize industrial work across the country. We're on a mission to make every tedious and dangerous warehouse/factory job virtual, safe, and semi-autonomous. With proven AI approaches and long distance teleoperation, you'll join a team that deploys a physical work solution that's scalable now, not later. We envision a world where millions of machines will make our goods and consumables more affordable and accessible than ever, while critical workers operate these robot fleets from the comfort of their homes. At Avatar Robotics, you'll create the workforce of the future-in one of the largest markets ($1T+ manual labor market in the US alone). We're a small but powerful team at the early innings of deploying thousands of units into facilities worldwide. What you'll do Design and implement data collection pipelines for synchronized sensor streams and task annotations from teleoperated robots. Build data processing systems for cleaning, labeling, and organizing multi-modal data (RGB-D, LiDAR, proprioceptive feedback). Develop and train Vision-Language-Action models, imitation learning policies, and behavior cloning systems. Deploy trained models to edge compute devices with real-time inference constraints. Collaborate with Robotics and Teleop teams to define autonomous capabilities and integrate models into the control stack. What you bring 3+ years of hands‑on ML experience, preferably in robotics, computer vision, or embodied AI. Strong foundation in deep learning frameworks (PyTorch, JAX, TensorFlow) and training large models. Experience with imitation learning, behavior cloning, or reinforcement learning in physical systems. Proficiency with computer vision techniques (object detection, segmentation, point cloud processing). Understanding of robotics fundamentals (kinematics, control theory, sensor fusion). Strong Python skills and experience with ML libraries. Bonus: Experience with Vision‑Language‑Action models, foundation models, or deploying models to edge devices. Additional Notes Our team develops on physical robots in person-expect hands‑on testing and debugging Need to be located or willing to relocate to San Francisco, CA Opportunity to shape the autonomy roadmap for a rapidly scaling robot fleet Come join us in building a new global economy, where anyone can do manual work remotely and with robo‑scale. Together, we can make goods and resources more affordable and available than they've ever been, for everyone on Earth. #J-18808-Ljbffr

About Lightfield Lightfield is an AI-native CRM that assembles itself from your email, calendar, and meetings. It captures every interaction and turns it into organized context: accounts, tasks, follow-ups, and insights, so nothing slips through the cracks. We're rethinking CRM from first principles. Instead of forcing teams to maintain rigid systems, Lightfield learns from how companies actually work, adapting, automating, and surfacing the insight that drives growth. We're building the CRM platform we always wished existed: fast, intelligent, and genuinely helpful. We are backed by Greylock, Lightspeed, and Coatue, and our team previously built Tome, a generative AI presentation product used by over 25 million people. Before Tome, many of us worked on Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce. About the role Lightfield's AI/ML team builds the experiences at the core of our product, developing new applications to wow our customers. Today, the team is focused on building a powerful, domain-specific AI that outperforms generic LLMs. We're inspired by the challenge of creating innovative new AI products for people doing serious work, and we're looking to grow our AI/ML team to meet that challenge. What you'll do Create and ship magical, highly-differentiated AI experiences that sales teams are eager to use Craft Lightfield's AI/ML strategy in tight collaboration with founders and execs Identify user needs that are well suited for AI/ML solutions, frame the problems, and collaborate with product leaders on solutions Prototype innovative, LLM-powered experiences, and drive their development into robust product features Help build a world class AI/ML engineering team by recruiting and mentoring teammates Who you are You have a BS or MS degree in CS, AI, or applied math You have 5+ years of experience building AI/ML based products in NLP domains You have a strong understanding of deep learning AI/ML frameworks or cloud services You have hands-on ML Ops experience Bonus Points Experience leading AI/ML product initiatives Publications in applied AI/ML scientific journals Experience navigating open source/vendor solutions in LLM ops space (LangChain, Llama, Pinecone, etc) Benefits & Perks Competitive salary Meaningful early equity Health insurance (medical, dental, vision) 3 weeks of PTO 11 paid company holidays + we enjoy a winter holiday break 3 months of paid family leave Wednesdays work from home Regular team dinners, events, offsites, and retreats 401k plan Other perks include: commuter and lunch stipend #J-18808-Ljbffr

A technology company is seeking a Senior Mechanical Engineer to design custom hardware for forestry equipment. The role is remote-first, allowing for high ownership and autonomy. Ideal candidates have experience in mechanical design and startup environments, alongside a strong technical foundation in various mechanical processes. Benefits include stock options, flexible time off, and health insurance. #J-18808-Ljbffr

A culinary essentials distributor is seeking a Machine Learning Engineer to design predictive models and automate ML pipelines. You will work with data science teams to turn prototypes into production code. Ideal candidates have over 2 years in ML engineering, proficient in Python, and familiar with tools like TensorFlow and AWS. The role offers flexible remote or hybrid work options and a competitive salary range of $50,000 - $200,000 USD annually based on experience and location. #J-18808-Ljbffr

Company: Qualcomm Technologies, Inc. Job Area: Engineering Group, Engineering Group > Machine Learning Engineering Artificial Intelligence is changing the world for the benefit of human beings and societies. QUALCOMM, as the world's leading mobile computing platform provider, is committed to enable the wide deployment of intelligent solutions on all possible devices - like smart phones, laptops, autonomous vehicles, robotics and IOT devices. Qualcomm is creating building blocks for the intelligent edge. We are part of Qualcomm AI Research, and we focus on advancing Gen AI Technology for the Edge - including model fine tuning, hardware acceleration, model quantization, edge inference and related fields. Come join us on this exciting journey. In this particular role, you will work in a dynamic research environment, be part of a multi-disciplinary team of researchers and software engineers who work with cutting edge AI frameworks and tools. You will architect, design, develop, test, and deploy on-device prototype software for cutting-edge AI use cases. The successful applicant should have a strong theoretical background and proven hands-on experience with enabling on-device AI using modern software engineering best practices. Must have experience and skills: Strong Python and C/C++ design and implementation skills. Knowledge of deep learning and ML frameworks (i.e. PyTorch). Strong software design skills with a focus on usability. Strong analytical, debugging and problem-solving skills. Experience in Embedded Software development. At least 3 years of work experience in a relevant field. Preferred extra experience and skills: Excellent programming capabilities in Java. Knowledge of Generative AI (GenAI) technologies. Knowledge of Android programming is a plus. Knowledge of neural network model optimization and on-target deployment is a plus. Previous experience with Docker, Git and CI/CD. Knowledge of NPUs / ML accelerators. Minimum Qualifications: Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. PhD in Computer Science, Engineering, Information Systems, or related field. 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. 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. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). 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. EEO Employer: 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: $140,800.00 - $211,200.00 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

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: ************ Responsibilities Work directly with engineering teams as the main point of contact for product security. Conduct formal TARA (ISO/SAE 21434) to define security requirements for vehicle ECUs and autonomous stacks. Develop data integrity standards for CAN and Automotive Ethernet to block injection and spoofing attacks. Perform threat modeling for new infrastructure to identify vulnerabilities in fleet management and diagnostic tools. Specify automated security testing requirements, including protocol fuzzing, for the software build pipeline. Translate high-level security goals into actionable engineering specifications alongside senior architects. Design Hardware Security Module (HSM) integrations to establish a hardware-rooted Chain of Trust. Architect secure boot and OTA update mechanisms using cryptographic signing to prevent unauthorized code execution. Design secure truck-to-cloud interfaces utilizing end-to-end encryption and robust mutual authentication. Qualifications Minimum of 5 years in cybersecurity, specifically focusing on product security for embedded systems, robotics, or automotive platforms. Proven ability to conduct structured TARA or threat models, particularly using ISO 21434 Technical proficiency in CAN bus (J1939) and Automotive Ethernet Working knowledge of automotive security and safety standards, such as UNECE R155 and ISO 26262 Proficiency in Python or Go for developing security automation and design validation tools. Familiarity with securing IoT cloud architectures and managing secure data pipelines between edge devices and backends. Bonus Hands-on experience with PKI, digital signatures, and encryption as applied to Secure Boot, OTA, and hardware-based Roots of Trust Proficiency in C/C++ and/or Rust for auditing embedded firmware The US yearly salary range for this role is: $144,500- $207,600 USD and the Canada salary range for this role is: $144,374 - $176,500 CAD in addition to competitive perks & benefits. Waabi US Inc. and Waabi Canada Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US and Canada locations. Note: The Company provides additional compensation for employees in this role, including discretionary equity incentive awards and discretionary annual performance bonus. Perks/Benefits Waabi provides a competitive benefits package that includes: Competitive compensation and equity awards. Premium choices for Health and Wellness benefits that include Medical, Vision and Dental coverage. 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. 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. #J-18808-Ljbffr

Company: Qualcomm Technologies, Inc. Job Area: Engineering Group > Machine Learning Engineering Artificial Intelligence is changing the world for the benefit of human beings and societies. QUALCOMM, as the world's leading mobile computing platform provider, is committed to enable the wide deployment of intelligent solutions on all possible devices - like smart phones, laptops, autonomous vehicles, robotics and IOT devices. Qualcomm is creating building blocks for the intelligent edge. We are part of Qualcomm AI Research, and we focus on advancing Gen AI Technology for the Edge - including model fine tuning, hardware acceleration, model quantization, edge inference and related fields. Come join us on this exciting journey. In this particular role, you will work in a dynamic research environment, be part of a multi-disciplinary team of researchers and software engineers who work with cutting edge AI frameworks and tools. You will architect, design, develop, test, and deploy on- and off-device frameworks enabling optimization. The successful applicant should have a strong theoretical background and proven hands-on experience with enabling on-device AI using modern software engineering best practices. Must have experience and skills: Strong theoretical background in AI and general ML techniques Proven hands-on experience evaluating and optimizing Generative AI workflows for accuracy, performance, and other key metrics ML Accelerator architecture knowledge & experience with ML Accelerators - GPU/NPU Proven hands-on experience building LLM stacks to solve real-world problems Strong Python and modern C++ design and implementation skills. Strong command of Machine Learning training frameworks (i.e. PyTorch ) Proven hands-on experience establishing a high-quality software delivery process using industry best-practices (code review, CI/CD, automation, etc.) Strong Linux command line skills. Strong general analytical and debugging skills. Prior experience working in agile environments. Prior experience in collaborating with multi-disciplinary teams across time zones. Strong team player, communicator, presenter, mentor, and teacher. Preferred extra experience and skills: Hands-on experience developing software for heterogenous platforms with OpenCL. Experience developing solutions that target a variety of hardware ( CPU, GPU, NSP …) along with their respective SW development environments. Prior experience with model quantization, profiling and running models on edge devices. Experience developing SDKs/libraries targeting multiple platforms and operating systems (Android, Linux, Windows) Previous experience with Docker and Git. Preferred qualifications: Master's and/or PhD degree in Computer Science, Engineering, Information Systems, or related field and 5+ years of work experience in Software Engineering, Systems Engineering, or related. Minimum Qualifications: Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. PhD in Computer Science, Engineering, Information Systems, or related field. 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 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. EEO Employer: 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. Pay range: $140,800.00 - $211,200.00 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 software development company in San Francisco is seeking experienced Engineers to join their Vault team, focused on building and scaling encryption key management products. Responsibilities include architecting systems for real-time encryption, collaborating with customers and other teams, and mentoring junior engineers. Candidates should have 5+ years of software development experience, particularly in security and encryption. Benefits include competitive pay, healthcare coverage, remote work flexibility, and equity grants. #J-18808-Ljbffr

A tech innovation firm in San Francisco seeks engineers to build scalable platforms and integrate systems for deeper AI-powered intelligence. The role emphasizes collaboration with design and engineering teams, and requires solid backend tech skills, including Python and SQL. Candidates should have a strong desire to win as a team and be comfortable with ambiguity. The company offers a remote-first culture with opportunities for collaboration and competitive compensation aligned with Tier-1 market data. #J-18808-Ljbffr

Empower the voices of the ******************** you want to push the world of podcasting into the future, come join a team that loves to live on the edge! We are a fully distributed team of smart people who are passionate about changing the world one voice at a time. You should join us if you: You have significant experience with codecs / encoding / transcoding, media containers, streaming You have a good understanding of computer science fundamentals. You might not have gone to school for it, but you know the difference between heap and stack, different time complexities, which patterns to use, and when You are not afraid of words like H264, VP8, I-frames, P-frames, NALU, SVC, DTS You are ambitious. You might want to build your own company one day or have tried to tackle the toughest tech problems just for fun You have deep experience writing C / C++ You are open to writing typescript sometimes You have an eye for performance. Whether thinking about maintaining the best frame rates, or creating the fastest video codecs you care about speed. You are a team player. One team, one dream. You have good communication skills. You can write a technical spec as well as play “Among Us” with the team and find the imposter! What sets you apart: You have a passion for high-performance applications You have significant open source contributions You want to work in a fast-growing startup. Which comes with the blood, sweat, and tears of working to disrupt an established industry You have empathy for the end-user. A spec is a conversation starter, as an advocate for the end-user you always are thinking about how to best serve their needs You have an eye for code quality and you strive to uphold best practices in engineering, security, and design Why you should choose us: You'll be working with world‑class engineers, Ph.D.'s, and designers in a fully distributed team Work in an agile and fast-changing environment Equity commensurate to your contribution in a profitable company Health insurance Unique challenges and the support and talent to solve them 4 weeks PTO Freedom to work where you please Office setup budget Continuing education credits What we're looking for: 5 + years of С/С++ experience Ability to lead the design and implementation of major software components, systems, and features Bonus points if you have: Experiencing working in high traffic, low latency applications Digital Signal Processing experience Experience working with bleeding edge technology of video and audio processing Experience deploying a/v pipelines on edge devices We are flexible! For the right candidate, we ask: What do you need to do your best work? #J-18808-Ljbffr

We offer you the opportunity to put your passion and your God given talents and abilities to use. Our goal is to attract and develop skilled, called, and passionate people to impact our devoted customers and our team. We want to attract immensely creative employees with an ability to inspire, motivate, and challenge others. For more information, see ********************** Our People Strategy We believe in a people strategy to be the fundamental driver of our organization. While we can never reach a perfect organizational model, we can certainly strive towards it in our daily efforts and mission. With that vision comes a focus of key initiatives we are working on, listed here, with the indicators of what it should look like as we approach: Shared Direction: A collective understanding of what the organization stands for, where it is going, and how we will get there. Indicators: a clear inspiring vision, well-executed strategies, clear aligned goals. Authentic Values: Deeply held principles guiding all decisions and relationships and reflected in the conduct of everyone at all times. Indicators: high levels of trust and communications, uncompromising integrity and ethics, socially responsible practices. Productive Relationships: Open, collaborative relationships that recognize and honor the commitments that people make to themselves, each other, their work, and the organization. Indicators: respect for all individuals, effective problem solving and decision-making, clear accountability, effective teamwork at all levels. Liberating Processes: Flexible structures, processes, and technologies that allow people to do their best work and to collaborate effectively across boundaries. Indicators: clear organizational design, collective knowledge, the right tools and technologies, the right people for the right jobs. Outcome Learning: Results-focused learning that strengthens individual and organizational capacity to cope with the present and define the future. Indicators: continuous teaching and learning, effective knowledge and skills development, leadership development at all levels. Motivating Metrics: Fair, meaningful performance requirements, measure and rewards that reinforce high performance and manage poor performance. Indicators: clear and energizing performance requirements, relevant work measures, differentiated rewards. Our Vision - What We Want to Do Continuously improving the built environment for the glory of God. Our Mission - Why We Exist Demonstrating the love of Jesus Christ through empowering excellent AEC professionals to provide superior service. Our Values - How We Will Accomplish This Mission Our Core Values are the tools we use and the behaviors we exhibit as Employees of Above Group. They describe how we work together to achieve this special place we're developing and how they make us uniquely successful. Christian Values - We demonstrate humility, honesty, integrity, respect, kindness, and a sense of social responsibility. Uncompromising Quality - We provide excellent results all the time, every time. Buffalo - We take initiative running toward and owning challenges. Extreme Team - We are accountable to each other to continuously grow and succeed. Mechanical Designer (MD) The Position The Mechanical Designer for Above Group shall contribute and support HVAC, Plumbing, Fire Protection, and Process Piping design efforts for the firm. The MD shall directly contribute to the Firm and its success through drafting and design efforts. This individual shall directly contribute to the Firm and its success through technical experience to effectively produce a quality design and ultimate product to the customer. The MD shall execute drafting and design duties as required to ensure quality is always maintained. The MD is a Designer by education and experience: Ability to combine personal judgment with information to implement design criteria. Has expertise in fire protection, HVAC, mechanical, plumbing and mechanical utility systems. Demonstrates proficiency of mechanical concepts including Psychometrics, Heat Transfer and Fluid Flow both compressible and incompressible. Ability to work well in a team environment and as an individual. Communicates well with individuals in the organization. Capable of interpreting information set forth in a Basis of Design, field surveys and code research. Applies design principles to resolve design problems and tasks assigned. Develops and implements design criteria and system designs from concept through detailed design and construction. Directs and mentors subordinate staff of their responsibilities on a daily basis. Implements criteria for distribution systems, researches applicable codes, and investigates system routing options and equipment room layouts. Proficient in the use of design tools such as the Psychrometric Chart, Ductulator, and Pipe Flow. Coordinates and implements the layout of distribution systems and equipment locations with team members within the discipline, as well as project team members in other disciplines. Proficient with Revit. Performs system calculations. Sizes and selects system components. Reviews shop drawing submittals, and travels to job sites to perform field verification. The MD develops organizational skills including technical writing and time management: Uses excellent writing skills to author basis of design (BOD) narratives, design criteria documents, Reports, and other high quality highly technical written documents as needed. Uses excellent writing skills to edit design specifications; respond to Requests for Information (RFIs) incorporating information from project documents, specifications, shop drawings and design criteria; and prepare meeting notes. Reads relevant project correspondence and maintains project design files. Demonstrates willingness to work to meet deadlines as required by client demands. Key Characteristics of the Ideal Mechanical Designer (MD) Called - A strong sense of knowing who you are (i.e., gifts, talents, competencies) and how you are to spend your life. We fulfill our calling by being excellent at what God designed us to be and we diligently pursue it. Practice Servant Leadership- Leaders at Above Group are called to serve. We realize that effective leadership starts on the inside. We demonstrate that we are willing to do what others are unwilling to do. We will practice a Servant Leadership character that enriches the lives of others. A Commitment to Above Group- An understanding of and a commitment to the special purpose, mission, and beliefs of Above Group and will have a value system compatible with our values. People Abilities- Deep interest and care for people with an understanding of their primary interests, aims, strengths, and motivations. Working with Customers- A demonstrated ability to accomplish results through collaboration with and development of strong relationships with our customers. Organizational Skills- An ability to organize his/her own thoughts and work, while continually growing a results-oriented team. Ability to win the confidence of colleagues and office staff that demonstrates a well-functioning department. Insight and Strategy- A focused sense of strategy, (i.e., possessing the knowledge and sixth sense for how to implement our mutual goals). The ability to set realistic objectives and achieve them. A Sense of Timing- An intuitive sense of timing and appropriateness in relation to people and projects. Work Capacity- Sufficient physical and emotional energy to deliver the results necessary to advance our mission. Self-Starter- Creates ideas and follow through without prodding. (Balanced with judgment and knowing when and how to ask for assistance and counsel). Enthusiasm- A heartfelt passion for the work we do, which displays optimism - but not overselling and overstating. Character - A level of impeccable integrity that permeates others. Passion- The Above Group Vision will be irresistible to the right person. People skills, organizational and communication abilities must be truly remarkable, this person will be excellent at vision-casting in a manner that inspires others to join with us and develop solid relationships. Minimum Requirements The Mechanical Designer shall meet the following minimum requirements: Minimum of 5 years mechanical drafting and design experience at an MEP Engineering firm or A-E firm Associates degree in Drafting and Design desired but not required Proficient in REVIT Excellent Communication skills, both oral and written This is a remote position or can be a hybrid position for local residents who desire to work in an office environment. U.S. Citizen or Permanent Resident of the U.S.

About the role We are seeking licensed (PE) Mechanical/Electrical Engineers with experience completing forensic investigations to determine the cause and origin of various site issues; root cause analysis, commissioning and condition assessments correlate and weather-related damage to residential, commercial and industrial properties. This is a fully remote, part-time, 1099 contracted position. The ideal candidate will have experience... With power surges, lightning strikes, evaluation of electrical components after a fire (wiring, control systems, panels, outlets, and appliances/equipment) HVAC units - repair vs. replace after storm/hail damage, cause of damage - wind/hail, improper maintenance, improper installation or product defect of boilers, chillers, pumps, plumbing and heating systems. What you'll do Performs engineering failure analysis; specifically, determining cause and of damage, causes of fire, electrocutions and equipment failures. Capable of performing site evaluations, field analysis, and assessments that include mechanical, electrical and/or plumbing systems. Provide evaluations for failures as a result of hail/wind damage, lightning strike damage, ause of damage - wind/hail, improper maintenance, improper installation or product defect of boilers, chillers, pumps, plumbing and heating systems., freeze events, machinery breakdown, wear and tear, general construction failures, and/or providing general recommendations for remediation and repair. Safely access roofs, attics & crawl spaces to photo document areas of interest. Identify and interview witnesses and/or other key parties involved. Prepare & submit findings and recommendations that can be used to resolve insurance claims or litigation matters. Qualifications Active Professional Engineering license(s) required Degree in Mechanical/Electrical engineering or similar field Well-versed in building materials, codes, construction methods & common modes of failure Ability to adhere to tight deadlines Availability to readily accept assignments and perform site inspection within 5-7 days Tech-savvy across multiple software platforms, tools / equipment & investigative techniques Outstanding written & verbal communications skills An analytical mind and strong problem-solving ability

Title: Mechanical Designer (NX) Location: Remote (U.S.-based) Hire Type: Contract (1-Year) Pay Range: $45-$60/hour (flexible based on experience) Benefits: Medical, Dental, Vision, PTO, and Holiday Pay Sterling Engineering is partnering with a nationally recognized research and engineering organization to hire a Mechanical Designer to support advanced technical projects within a design and drafting group. This is a fully remote, long-term contract opportunity for an experienced designer who is comfortable working in deadline-driven environments and collaborating closely with engineers. Responsibilities Create and modify mechanical designs and detailed drawings using NX1980 Develop advanced 3D models and 2D drawings in accordance with project requirements Apply GD&T standards (ASME Y14.5) to designs and drawings Perform design tolerance and stack-up calculations Support layout design, detailing, and component selection Collaborate with engineering teams to research, analyze, and develop design solutions Ensure all work meets internal quality, documentation, and design standards Manage design tasks to meet project schedules and deliverables Qualifications Minimum of 5 years of experience in a Mechanical Designer or Design/Drafting role Demonstrated proficiency in NX1980 CAD (must be verified via Zoom interview) Experience producing high-quality 3D models and 2D drawings Strong understanding of GD&T and mechanical drawing standards Ability to deliver accurate work in a deadline-driven environment Experience working collaboratively with engineering teams Why This Opportunity Fully remote contract role Competitive hourly pay with flexibility based on experience Long-term project stability (1-year engagement) Exposure to complex, high-impact engineering projects Partner with a respected organization through Sterling Engineering Sterling Engineering is an equal opportunity employer and values diversity in the workplace. All qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other protected status.

M Staffing Qualifications Mechanical and Electrical Engineer The Mechanical and Electrical Engineer will work with members of the design and project teams to create mechanical systems(components) and outline electrical schematics for power conversion products using Solidworks and AUTOCAD. The M&E Engineer will develop new products within the Company and support existing designs. The position will be located in Columbus, OH and will play an important role in developing new products and value analysis and value engineering activities. Qualifications: The candidate must possess both mechanical and electrical aptitude to develop new products and create new assembly processes. The candidate must be able to interpret electrical system schematics must; familiarity with power conversion systems is desirable. Knowledge or familiarity with electromagnetic interference (EMI) methods is a plus. Knowledge of manufacturing materials and the production of sheet metal and machining methods are required attributes. Familiarity of thermal design, heat flow and structural analysis is desired but not mandatory. Strong 3D CAD skills with Solid Works is necessary and an ability to complete high level interconnect schematics using AUTOCAD is a must. Experience: The Mechanical and Electrical Engineer should have a minimum of 7 years design experience with electromechanical packaging including enclosures, sheet metal and manufacturing techniques, preferably with a company manufacturing power conversion systems. Alternatively, an exceptional talent for Mechanical and Electrical design with less experience will be considered. In addition, a working knowledge of electrical interconnect technologies including cable and harness, connectors, power distribution and signal interconnects would be considered most favorably. Education: BS in Mechanical Engineering from a recognized, fully accredited program with a minor in Electrical Engineering. BS in Mechanical Engineering from a recognized, fully accredited program with a minor in Electrical Engineering. Alternatively, better than a working knowledge and solid/proven experience working in electrical power conversion will be considered in lieu of an Electrical Engineering degree. Specific Responsibilities: The M&E Engineer is specifically responsible and accountable the following areas: Design mechanical components and systems for power conversion products. Support the product line from concept to production. Verifies that the design conforms to safety practices and customer specifications. Supervises the construction and testing of prototypes Analyzes methods and suppliers for cost reductions on assemblies and equipment Estimates costs for designed products Collaborates with other team members to obtain timely results Documents designs so they can be adequately manufactured within the time and budget targets Continuously improves product quality and process effectiveness. Work with Sales and Service personnel to ensure products conform to customer requirements. Additional Information All your information will be kept confidential according to EEO guidelines.

Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy solutions for natural and built assets. We are more than 36,000 people, in over 70 countries, dedicated to improving quality of life. Everyone has an important role to play. With the power of many curious minds, together we can solve the world's most complex challenges and deliver more impact together. Role description: Arcadis is currently searching for a Mechanical Designer, with a minimum of 4 years of experience, to join our Building Design Services team in the Columbus, OH office. Designer will be working in a team environment to develop water / wastewater related projects. Our growing team has a lot of exciting projects on the horizon which will create an excellent opportunity for motivated designer to elevate their knowledge and advance into the group. Designer will primarily focus on 3D modeling of HVAC, Plumbing, and Fire Protection while assisting with development of design drawings, providing support during project planning, working alongside project team during design, and engaging QA/QC reviews. Role accountabilities: Mechanical Designer will assist in developing conceptual layouts at the start of the project as well as create and maintain mechanical 3D Revit models for each project. The Designer will also create, monitor, and/or review preliminary and detailed design drawings and assist in the development of conceptual cost opinions (i.e. quantity take-offs) and possibly other engineering related. Additional duties include: * Work effectively in team situations while establishing and maintaining strong relationships with other teams where overlap of client project work exists. * Work directly with a variety of engineering disciplines, office / project staff and sub-contractors, throughout the project life cycle, and therefore should have clear and concise, oral and written communication skills with a demonstrated ability to work effectively with others in the preparation of design documents, participation in team meetings and field interaction with clients and subcontractors. * Assist with development and management of personal workload and coordination with team workload and project budgeting. * Ensure project compliance with all Arcadis practices and quality and safety standards and facilitate coordination for timely completion and submission of projects on time and within budget. Required Qualifications * 4 years of experience with mechanical drafting/modeling for buildings or water/wastewater treatment design and construction projects. * Proficient at using of AutoCAD, Revit and 3D modeling. Preferred Qualifications * Professional work experience in similar role with a Consulting Engineering firm. * Experience with BIM (Building Information Modeling) software and both 2D & 3D drafting. * Experience with x'refing, layering, preparing quantity takeoffs and estimates. Why Arcadis? We can only achieve our goals when everyone is empowered to be their best. We believe everyone's contribution matters. It's why we are pioneering a skills-based approach, where you can harness your unique experience and expertise to carve your career path and maximize the impact we can make together. You'll do meaningful work, and no matter what role, you'll be helping to deliver sustainable solutions for a more prosperous planet. Make your mark, on your career, your colleagues, your clients, your life and the world around you. Together, we can create a lasting legacy. Join Arcadis. Create a Legacy. Our Commitment to Equality, Diversity, Inclusion & Belonging We want you to be able to bring your best self to work every day which is why we take equality and inclusion seriously and hold ourselves to account for our actions. Our ambition is to be an employer of choice and provide a great place to work for all our people. We are an equal opportunity and affirmative action employer. Women, minorities, people with disabilities and veterans are strongly encouraged to apply. We are dedicated to a policy of non-discrimination in employment on any basis including race, creed, color, religion, national origin, sex, age, disability, marital status, sexual orientation, gender identity, citizenship status, disability, veteran status, or any other basis prohibited by law. Arcadis offers benefits for full time and part time positions. These benefits include medical, dental, and vision, EAP, 401K, STD, LTD, AD&D, life insurance, paid parental leave, reward & recognition program and optional benefits including wellbeing benefits, adoption assistance and tuition reimbursement. We offer nine paid holidays and 15 days PTO that accrue per year. The salary range for this position is $68,000 - $112,000. Actual salaries will vary and are based on several factors, such as experience, education, budget, internal equity, project and location. #LI-RT4 #Resilience-NA #Water-NA #WaterJobsOhio