Learning Consultant

As a Learning Consultant at thinkacademyus, you will play a pivotal role in shaping educational experiences. Your expertise will guide students in their learning journeys, providing tailored support and resources to help them achieve their academic goals. You will collaborate with educators to design innovative learning solutions and engage with students to foster a love for learning.

Location: San Jose, CA Job Type: Full-Time (Hourly Contract), with potential for conversion to Full-Time (Exempt) based on performance! Intended Start Date: ASAP About Think Academy Think Academy US (www.TheThinkAcademy.com) is an innovative education technology (Ed-Tech) company focused on providing K-12 extracurricular learning services, primarily in science and technology. Our mission is to nurture local children's critical thinking abilities, enhance their logic skills, and support them in achieving their goals through cutting-edge teaching techniques. We believe that the combination of Love and Technology can transform education for the better! About This Role We are on the lookout for a dedicated Learning Consultant who is passionate about education and eager to make a difference in the lives of students. As a Learning Consultant, you will play a crucial role in delivering engaging learning experiences and supporting our mission to foster critical thinking in children.

Join thinkacademyus as a Part-Time Learning Consultant and play a pivotal role in shaping the educational experiences of our students. You will collaborate with educators to develop innovative learning strategies, tailored to meet the diverse needs of learners. As an advocate for student success, you will guide individuals in their educational journeys, providing insights and support to enhance their learning outcomes.

Join our dynamic team at Jobs for Humanity as a Machine Learning Manager. In this pivotal role, you will lead the development and implementation of innovative machine learning solutions that drive our mission of inclusivity and accessibility in the workforce. You will collaborate with cross-functional teams to leverage data, enhance decision-making processes, and ultimately improve the lives of individuals seeking employment opportunities.

Role Overview Western Digital seeks a Principal Learning and Development Partner based in San Jose. This role shapes learning initiatives and helps build a culture of ongoing improvement across the company. The Principal Partner works closely with teams to spot skill gaps, create effective learning strategies, and roll out training programs that strengthen employee performance and align with business objectives.

Zscaler is hiring a Manager, Learning Management Systems to drive employee training and development. This position can be remote within the USA or based in San Jose, California. The role centers on leading the design, rollout, and ongoing management of learning management systems to support the company's workforce. Key Responsibilities Lead the design, implementation, and daily administration of learning management systems. Collaborate with teams throughout the company to identify training needs and set priorities. Create and enhance learning strategies that promote employee growth and engagement. Leverage technology to expand access to training and improve content delivery. Review data to measure training effectiveness and suggest improvements. Location This role is open to remote candidates in the USA or those who wish to work from the San Jose, California office.

Join our innovative team at Jobs for Humanity as a Machine Learning Engineer, where you will have the opportunity to shape the future of technology and contribute to meaningful projects that impact lives. As a part of our dedicated team, you will harness your expertise in machine learning to develop cutting-edge solutions that drive efficiency and effectiveness.

With over two decades of experience, Smartsheet empowers teams to achieve remarkable outcomes through innovative work management solutions. Our tools are designed to streamline processes, automate tasks, and provide valuable insights, fostering an environment where creativity thrives and meaningful work flourishes. We believe in the power of purpose-driven progress, and we are dedicated to creating opportunities for our employees to think big and make impactful contributions.We are looking for a passionate Learning Experience Designer to enhance our internal learning and development initiatives. In this role, you will prioritize the knowledge and growth of our employees, working collaboratively within a supportive team that values your insights and creativity. A strong background in graphic design and human-computer interaction is crucial, along with a commitment to becoming a certified Smartsheet user to excel in your position.Reporting to the Manager of Learning Experience, this is a remote position available to candidates residing in Costa Rica.

Axiado is looking for a Staff Machine Learning Engineer in San Jose to help shape the next generation of machine learning solutions. This position centers on developing advanced algorithms and models that support the company’s products. Role overview As a key contributor, you will work closely with teams across the organization to analyze data and design machine learning strategies. Your expertise will play a central role in improving user experiences and advancing Axiado’s technology. What you will do Develop and refine machine learning algorithms and models Collaborate with cross-functional groups to identify opportunities for ML-driven improvements Implement strategies that enhance the capabilities of Axiado’s products Requirements Strong background in machine learning and algorithm development Experience working with data analysis and model implementation Ability to collaborate effectively with diverse teams

About the RoleWe are seeking a passionate Machine Learning Engineering Intern to join our perception and learned-behavior teams. As an intern, you will tackle real-world challenges using actual data from machines in the field, rather than simplified datasets. Your projects may include:Creating auto-labeling pipelines to enhance our training data.Designing generative simulation environments for model assessment.Refining model inference for deployment on edge devices (NVIDIA Jetson).Assisting in the training and evaluation of BEV (bird's-eye-view) perception or VLA models.This hands-on position will enable you to deploy code that directly influences our autonomy stack.

Drive Innovation with PurposeAt BILL, we empower businesses to thrive in today’s economy. By revolutionizing outdated financial practices with cutting-edge tools, we enable enterprises—from emerging startups to established brands—to make informed decisions and take command of their operations. Our mission extends beyond the present; we are pioneering the future of financial automation, allowing businesses to focus on what truly matters.Joining our team means becoming part of a vision-driven community that embraces challenges and crafts innovative solutions. We cherish purpose, ambition, and curiosity, thriving in a dynamic and fast-paced environment. Whether based in our offices in San Jose, CA, Draper, UT, or working remotely, BILLers collaborate to create significant impacts for businesses, giving them more time in their busy schedules.At BILL, we build high-performing teams and are committed to hiring the best talent for every position. We strive to create a workplace that promotes inclusion and diverse perspectives, valuing each individual’s unique skills and experiences. We are eager to hear from you—whether this role is a fit or not, you could be just who we need! Let’s provide businesses the time to focus on what’s important.Make Your Mark in a Rapidly Growing Fintech CompanyBecome a vital member of BILL's AI Product Engineering team and help define the future of intelligent financial automation. As a Senior Machine Learning Engineer, you will be instrumental in designing, developing, and deploying machine learning solutions that drive BILL's next-generation products. This role offers a unique opportunity to work in a collaborative, high-impact setting where your expertise will directly influence our growth and enhance the experience of millions of users.

Join our dynamic team at Jobs for Humanity, where we are dedicated to utilizing technology to create meaningful opportunities for individuals from diverse backgrounds. As a Machine Learning Engineer, you will drive innovative projects, develop cutting-edge algorithms, and collaborate with cross-functional teams to enhance our platform's capabilities.

Teamwork makes the stream work. Join Roku in Revolutionizing TV ViewingAs the leading TV streaming platform in the U.S., Canada, and Mexico, Roku is on a mission to power every television globally. We have pioneered the streaming revolution by connecting consumers with their favorite content, enabling publishers to grow their audiences, and offering advertisers unique opportunities to engage viewers.At Roku, your contributions are valued from day one. As a rapidly growing public company, we empower you to delight millions of TV streamers worldwide while gaining experience across various disciplines. About Our TeamRoku has innovated in creating operating systems for TVs. Our TV Technology team, part of the Roku TV NPI group, focuses on delivering the best audio and picture quality while embracing innovative technologies. With millions of TVs sold globally and billions of hours streamed, achieving optimal audio and picture quality is essential. Role OverviewWe seek a creative and dedicated Machine Learning (ML) and Deep Learning (DL) Engineer to join our Roku TV team. In this role, you will investigate enhancements in Picture Quality (PQ) and Audio Quality (AQ) through AI, all within a resource-constrained environment, redefining the boundaries of TV technology. You will implement cutting-edge ML techniques across various PQ and AQ tasks, playing a crucial role in developing scalable systems and algorithms that improve streaming experiences for millions of users globally.For California Only - The estimated annual salary for this position is between $135,000 and $185,000. Compensation packages vary based on individual qualifications, including skills, certifications, and geographical location. Benefits include health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and more.

Join our dynamic team at 360itprofessionals1 as a Mulesoft Consultant, where you will leverage your expertise in API development and integration to enhance our clients' business solutions. In this role, you will collaborate with cross-functional teams to deliver high-quality software solutions, utilizing Mulesoft's powerful integration capabilities. Your contributions will play a critical role in optimizing workflows and driving innovation.

Join our dynamic team as an Anaplan Lead Consultant at Sons of IT, Inc. in San Jose, California. We are seeking a highly skilled professional who possesses a deep understanding of Anaplan and its applications in business strategy and planning. In this role, you will lead the implementation of Anaplan solutions, guiding clients through the process of transforming their financial and operational planning.Your expertise will be crucial in delivering insightful analytics and ensuring that our clients achieve their strategic goals. You will collaborate with cross-functional teams and provide training to ensure the successful adoption of Anaplan solutions.

About UsAt ChipStack, we stand at the forefront of the technological revolution, aiming to transform the design of silicon chips which are pivotal in today's tech-centric landscape. While their complexity has surged due to rising performance requirements from applications such as AI, the methods used for their design have remained stagnant for decades. We are determined to innovate and lead this change.Our team is dynamic, highly skilled, and operates with agility. We are comprised of experts with experience at leading technology companies including Qualcomm, Nvidia, Google, Meta, and the Allen Institute for AI. Supported by premier investors such as Khosla Ventures, Cerberus, and Clear Ventures, we have already partnered with over 10 pioneering clients, ranging from Fortune 100 giants to ground-breaking AI silicon startups.About This RoleThis position offers an exceptional opportunity to join the founding team at ChipStack, where we are redefining the approach to modern silicon chip design. Collaborating with seasoned chip designers, machine learning scientists who have successfully trained large language models (LLMs) at scale, and top-tier infrastructure and software engineers, you will leverage your expertise in ML and data infrastructure to tackle some of the most challenging problems in chip design.About YouYou thrive in a startup environment, drawn by the energy and dynamism it provides. You are committed to delivering outstanding customer experiences, willing to go the extra mile to ensure satisfaction. Self-motivated and driven, you possess a strong sense of urgency and the ability to work independently with minimal guidance. You welcome complex problems and relish the opportunity to explore uncharted territories.This RoleWe seek a skilled and experienced ML Infrastructure Engineer to join our founding team. The ideal candidate will have a solid background in designing and scaling ML infrastructure and training pipelines. Your primary responsibility will be to construct the foundational infrastructure that supports the training, fine-tuning, evaluation, and deployment of LLMs in both cloud and on-premise environments. Your contributions will significantly enhance our product capabilities and accelerate our iteration processes.

Axiado is seeking a Senior Machine Learning Engineer with a focus on cybersecurity for its San Jose office. This position centers on building and refining machine learning models that strengthen security systems and help defend against new and complex cyber threats. Role overview This role involves designing, implementing, and optimizing advanced machine learning solutions tailored for cybersecurity applications. The work directly contributes to protecting clients by improving the detection and response capabilities of Axiado’s security technologies. What you will do Develop and enhance machine learning algorithms for security systems Apply cybersecurity knowledge to inform model design and implementation Optimize models to address evolving threat landscapes Requirements Expertise in machine learning algorithms Experience applying machine learning to cybersecurity problems Ability to design and implement advanced models for threat protection

Founded in 2017, WeRide (NASDAQ: WRD) stands at the forefront of autonomous driving technology, pioneering advancements from Level 2 to Level 4. As the only technology firm globally holding driverless permits across China, the UAE, Singapore, and the United States, WeRide conducts extensive R&D, testing, and operational deployment in over 30 cities across 10 countries. With a proven track record of operating a self-driving fleet for over 2,200 days, WeRide is dedicated to shaping the future of mobility.The Silicon Valley team at WeRide.ai is on the lookout for a talented Perception Engineer to drive the implementation of cutting-edge automotive vision and machine learning algorithms.

As a Course Consultant at thinkacademyus, you will play a pivotal role in guiding students through their educational journey. You will engage with prospective and current students, providing them with personalized advice on course selection and academic pathways. Your expertise will be instrumental in ensuring students achieve their learning goals through customized support and resources.

Teamwork Makes the Stream Work. Roku is Revolutionizing Television ViewingRoku stands as the leading TV streaming platform across the U.S., Canada, and Mexico, with ambitions to power every television globally. As pioneers in streaming technology, our mission is to serve as the connective tissue of the TV ecosystem. We bridge consumers with the content they cherish, empower content creators to build and monetize vast audiences, and offer advertisers innovative tools to engage users effectively.Your journey at Roku begins with a meaningful contribution. Join our rapidly expanding public company where every team member plays an integral role. Here, you will have the chance to delight millions of TV streamers worldwide while gaining invaluable experience across diverse fields. About Our TeamThe Recommendations team is dedicated to enhancing user experiences on our platform through cutting-edge machine learning. Our goal is to deliver personalized, context-aware recommendations that evolve with each user's preferences in real-time. We believe that true innovation in personalization is built upon a robust, adaptable ML platform designed for experimentation and scalability. Our team is responsible for designing and building the foundational ML infrastructure, ensuring our systems remain swift, reliable, and at the forefront of technological advancement. Our efforts combine innovation, engineering excellence, and a profound commitment to understanding our users, influencing how they discover and engage with content daily.About the RoleWe are looking for a talented, innovative, and passionate Senior Machine Learning Platform Engineer to join Roku's Recommendations team. In this role, you will design, build, and scale resilient distributed systems that power the next evolution of personalized content recommendations for millions of Roku users. Your focus will be on developing comprehensive machine learning platforms and infrastructure, ensuring seamless deployment, monitoring, and optimization of algorithms and operational workflows that deliver unique experiences at scale.For California Only - The estimated annual salary for this position is between $229,500 - $367,100 annually. Compensation packages are tailored to each candidate's unique factors, including but not limited to skill set, certifications, and geographical location. This role is eligible for health insurance, equity awards, life insurance, and more.