Learning and Coaching Partner

Join Roblox as a Learning and Coaching Partner, where you will play a pivotal role in shaping the professional development of our team members. You will work closely with various departments to foster a culture of continuous learning, coaching, and improvement. Your expertise will help drive employee engagement and performance through innovative training pro…

Immediate Opening - Start within weeks!Are you a passionate and energetic individual who enjoys engaging with children through sports? Amazing Athletes, the leading educational sports program for kids aged 2 to 12, is seeking enthusiastic coaches to join our dynamic team! We offer year-round classes designed to inspire and develop young athletes. Classes are scheduled from 9:00 AM to 4:30 PM, Monday through Friday, with Saturday options available. Multiple positions are open. Don’t miss out on this exciting opportunity—apply today!

Are you a passionate and energetic individual with a love for sports and working with children? Join Amazing Athletes, the leading educational sports program for kids aged 2 to 12, offering engaging classes throughout the year. Our classes are scheduled in blocks from 9:00 AM to 4:30 PM, Monday through Friday, with Saturday options available. We are hiring for multiple positions, so apply today!

Join Youth Athletes United, the leading children’s sports organization in the nation! We proudly serve the Bay Area, including San Francisco, Marin County, East Bay, and the South Bay/Peninsula regions.We are seeking a passionate and dynamic Soccer Coach to guide young athletes in engaging and educational soccer activities while prioritizing their safety. Our ideal candidate has a background in working with children, whether as a sports coach, teacher, camp leader, or similar roles, and possesses a genuine love for mentoring kids. This role is perfect for individuals interested in early childhood education or child development, as well as those looking to have fun while making a positive impact.Schedule:Share your seasonal availability with us, and we will fit you into classes accordingly. We are currently looking for coaches available for our Fall and Winter seasons (year-round availability is also a plus):WINTER/SPRING/FALL: Weekday afternoons (2 PM - 5:30 PM) and weekends.YEAR-ROUND: Saturdays and Sundays from 8:30 AM - 1:30 PM & 2:20 PM - 5:30 PM.SUMMER: Weekend sessions (8:30 AM - 1:30 PM) and weekday camps (9 AM - 12 PM) from June to late August, with additional PM opportunities available.Salary:Lead Coaches start at $30 per session (45-60 minutes) and can earn up to $45 for leading classes. Assistants begin at $19.18 per session. Note that rates are prorated for classes shorter than 45 minutes.Locations:Weekend classes are available in Palo Alto, Redwood City, Burlingame, San Bruno, and Foster City.Day-to-Day Responsibilities:Engage with small groups of children to foster skill development and teamwork in a fun, educational environment.Provide personalized attention to each child.Arrive on time, ready for class both physically and mentally (including commuting time).Requirements:Must be available for one or more of the following: Weekday Afternoons (2 PM – 6 PM), Weekend Mornings (8:30 AM – 2 PM).Previous experience working with children is preferred.A soccer playing background is preferred.Must be energetic, patient, and attentive.Candidates are encouraged to be fully vaccinated upon starting employment, with legally required exemptions considered.

Roblox is seeking a Senior People Business Partner to join our dynamic team in San Mateo, California. In this pivotal role, you will collaborate with various departments to align HR strategies with business objectives, drive employee engagement, and foster a culture of excellence. Your expertise will help shape the employee experience, enhance organizational effectiveness, and ensure that our workforce is equipped to meet the challenges of tomorrow.

Role Overview Roblox is seeking an Executive Business Partner - Company Floater based in San Mateo, CA. This role supports multiple teams and leaders throughout the organization, stepping in where needed to advance key initiatives and foster cross-department collaboration. What You Will Do Support strategic projects across different departments as priorities shift. Help teams coordinate efforts and keep work aligned with company goals. Build connections between groups to improve communication and workflow. Location This position is based in San Mateo, CA, United States.

About zaimlerAt zaimler, we recognize that AI agents struggle to make decisions based on fragmented data. Today’s enterprise data is scattered across numerous systems, lacking shared context and structure, which contributes to the challenges faced in enterprise AI. As we transition from copilots to fully autonomous agents, we're establishing a revolutionary infrastructure layer to support this evolution.zaimler serves as the foundational context infrastructure for the agentic era. Our platform autonomously uncovers domain knowledge, maps intricate relationships, and equips AI agents with the semantic understanding necessary for precise operations at scale. Envision knowledge graphs that facilitate real-time inference, designed specifically for systems that require reasoning capabilities, rather than mere data retrieval.Founded by industry veterans Biswajit Das and Sofus Macskassy, zaimler is a small yet highly skilled team at the seed stage, collaborating with major enterprises across sectors such as insurance, travel, and technology. If you aspire to develop the infrastructure that will underpin the next decade of AI advancements, we invite you to join our journey.About the RoleWe are in search of a Senior Machine Learning Engineer to enhance our dynamic team, ideally based in the Bay Area or open to relocation. The perfect candidate will possess strong expertise in one or more of the following areas: Knowledge Extraction, Natural Language Understanding, Unsupervised Learning, Information Retrieval, and Fine-tuning Large Language Models (LLMs). In this pivotal role, you will be instrumental in developing and training the models, pipelines, and methodologies that drive our semantic graph systems. We seek an individual with a robust background in machine learning, natural language processing, LLMs, and semantic technologies, along with a proven history of managing complex, large-scale machine learning projects.

Join our innovative team at parspect as a Machine Learning Engineer, where you’ll be at the forefront of developing cutting-edge machine learning solutions. This is an exciting opportunity for an entry-level candidate eager to expand their skills in a dynamic and supportive environment.

Who We AreVerkada is revolutionizing the way organizations safeguard their people and places with an integrated, AI-driven platform. As a frontrunner in cloud-based physical security, Verkada empowers organizations to enhance safety and operational efficiency through a unified software platform that encompasses solutions for video surveillance, access control, air quality monitoring, alarms, intercoms, and visitor management.With over 30,000 organizations globally, including more than 100 Fortune 500 companies, Verkada is the trusted choice for physical security, delivering streamlined management, intelligent oversight, and scalable implementations. Established in 2016, Verkada has experienced rapid growth, boasting 15 offices and over 2,200 dedicated employees.About The RoleWe are seeking an outstanding People Partner, also known as an HR Business Partner, to join our expanding People team. This critical position, based in our San Mateo office, provides a unique opportunity to influence and drive people strategies within a rapidly scaling organization.As a People Partner, you will collaborate closely with a designated business unit and its executive leadership to formulate and implement people strategies that enhance performance, foster growth, and boost employee engagement. Your responsibilities will include advising on employee relations and developing career advancement programs, playing a vital role in creating an exceptional employee experience.This position offers a high level of autonomy and requires a proactive, strategic thinker passionate about driving impactful people initiatives.

About UsAt Dyneti, we are committed to ensuring that digital payments are both seamless and secure. We have developed DyScan, an innovative software library that empowers digital merchants to prevent fraud while enhancing conversion rates by simply taking a photo of a credit card.Founded by a fraud prevention specialist from Uber, Dyneti has secured backing from a distinguished group of investors, including Y Combinator. Our technology has facilitated the processing of hundreds of millions of credit card scans globally, serving a diverse clientele that includes Fortune 100 companies and rapidly growing tech unicorns.Job OverviewWe invite you to join Dyneti as a member of our founding engineering team. This is a unique opportunity to work closely with our CEO in developing new features and launching innovative products within the deep learning domain.

Role OverviewJoin our dynamic team as a Senior Reward Partner, where you will serve as the primary advisor on compensation for our global business function. In this pivotal role, you will manage the entire reward relationship, transitioning from a service-oriented model to being the go-to authority for senior leaders making critical talent decisions. Your responsibilities will include designing, implementing, and refining reward programs that align with Xero's strategic objectives to attract and retain top talent across your designated portfolio.You will have a significant impact by proactively identifying necessary shifts in reward strategy and leading essential projects such as the annual salary review. Whether you're managing the global Go-To-Market portfolio or concentrating on the Americas region, your insights will reshape stakeholder perspectives on reward trade-offs, transforming cost discussions into strategic investments in retention.Team CollaborationYou will be part of a trusted, distributed team of compensation professionals located in San Mateo, San Francisco, and New Zealand. Our team connects through bi-weekly meetings to align on priorities and celebrate achievements, supplemented by weekly one-on-one sessions within a culture that promotes agility and low bureaucracy.Initial Focus AreasEstablishing foundational compensation infrastructure, including new job architecture and equity refresh methodologies.Creating a global pay transparency framework and a total rewards portal to enhance employee experience.Redesigning compensation structures to support Xero's growth within the small business and partnership ecosystem.Work EnvironmentThis position is based in our San Mateo office with a hybrid working model. Enjoy the flexibility of remote work alongside in-office collaboration, with quarterly in-person meetings to strengthen team connections.Desired QualificationsExtensive knowledge of global compensation structures, including incentive design and equity programs within the technology sector.Experience navigating complex M&A integrations or scaling reward frameworks in high-growth SaaS environments is highly valued.Proven ability to influence strategic outcomes through effective communication and collaboration with stakeholders.

Join Roblox as a Compensation Business Partner, where you will play a critical role in shaping our compensation strategies to attract and retain top talent. You will collaborate with cross-functional teams to design competitive compensation programs that align with our company's goals and values. This position requires a strategic mindset, a deep understanding of compensation practices, and the ability to communicate complex concepts effectively.

At Roblox, millions of individuals engage daily to explore, create, play, learn, and connect with friends in immersive 3D digital experiences crafted by our global community of developers and creators.We are dedicated to building tools and platforms that empower our community to realize their imaginative experiences. Our vision is to transform how people connect from anywhere in the world and on any device. Our mission is to unite one billion people with optimism and civility, and we are seeking exceptional talent to help us achieve this goal.Joining Roblox means you will play a pivotal role in shaping the future of human interaction, tackling unique technical challenges at scale, and contributing to the creation of safer, more civil shared experiences for all.The Rights Manager and Content Suitability teams, part of our Safety Experience, are in search of a Senior Machine Learning Engineer.The Safety Experience organization develops tools and systems that empower Roblox users and creators to control their experiences while enabling moderators to uphold our community standards. Our focus includes education, intervention, visibility, and action.Our initiatives include:Monitoring and influencing user behavior for enhanced safety.Building scalable and efficient moderation platforms.Providing transparency and educational resources for parents and developers.Empowering users to manage their own safety.Allowing IP owners to manage their creations on Roblox.Delivering quick and accurate support through our Customer Care Chatbot.Your responsibilities will include:Implementing machine learning solutions for safety-focused systems.Promoting a culture of technical excellence and inclusivity.Breaking down long-term product requirements into actionable phases for continuous improvement.Designing and building large-scale machine learning models with billions of parameters, ensuring they are production-ready.Facilitating complex technical decisions with empathy and foresight.

Skydio stands as the preeminent drone company in the United States and a global leader in autonomous flight technology, which is vital for the future of drones and aerial mobility. Our team is comprised of experts in artificial intelligence, cutting-edge hardware and software development, operational excellence, and a relentless focus on customer satisfaction. We aim to empower a diverse range of drone users, from utility inspectors to first responders and military personnel in various scenarios.About the Role:At the heart of our autonomy system is the ability to learn a semantic and geometric understanding of the world through visual data. We are at the forefront of real-time deep learning networks, striving to enhance intelligent aerial robots capable of navigating unknown environments and delivering substantial operational value. If you are passionate about applying deep learning to real-world challenges in computer vision and autonomy, we encourage you to apply.As a Deep Learning Engineer, your primary responsibility will be to train and deploy optimized models for our products. You will tackle complex challenges including optical flow estimation, stereo depth estimation, object detection, segmentation and tracking, visual place recognition, localization and mapping, few-shot learning, occupancy networks, and automated path planning.Your Impact:Design, implement, and deploy computer vision and multimodal deep learning models for Skydio’s autonomy system.Utilize vast amounts of real-world video and sensor data for data mining, curation, labeling, training, and evaluation.Employ large-scale diverse synthetic data to enhance deep learning algorithms.Utilize state-of-the-art foundation models for knowledge distillation and efficient learning.Refine and optimize models for low-latency performance on embedded hardware.Develop evaluation benchmarks and metrics to assess the performance of autonomous systems.Contribute broadly to various aspects of the software as required.Your Qualifications:A Master’s or Ph.D. in Computer Science, Electrical Engineering, or a related field.Proven hands-on experience in designing, training, and deploying deep learning models.Strong ability to produce high-quality, well-architected code (preferably in Python/PyTorch).

Join Roblox as a Learning Design & Development Associate, where you will play a pivotal role in enhancing the learning experiences of our users. You will collaborate with cross-functional teams to create engaging educational content and design innovative learning solutions that align with our strategic objectives. This position offers an exciting opportunity to contribute to the growth of our community through effective learning methodologies.

About Us:At Fireworks AI, we are pioneering the future of generative AI infrastructure. Our platform is recognized for delivering the highest-quality models with the fastest and most scalable inference capabilities in the industry. Proudly benchmarked as a leader in LLM inference speed, we are at the forefront of innovation with projects like function calling and multimodal models. As a Series C company valued at $4 billion, we are supported by prestigious investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. Our team comprises ambitious builders, many of whom hail from Meta PyTorch and Google Vertex AI.The Role:As an Applied Machine Learning Engineer, you will play a crucial role in bridging the gap between advanced AI research and practical applications. Your responsibilities will include developing, fine-tuning, and operationalizing machine learning models that deliver significant business value and enhance user experiences. This hands-on engineering position demands a blend of deep technical expertise and a strong customer-centric approach to create scalable AI solutions.Key Responsibilities:Customer Success: Collaborate with the Go-To-Market (GTM) team, including Account Executives and Solutions Architects, to ensure seamless integration and successful deployment of machine learning solutions.Demo / Proof of Concept (PoC): Develop and present engaging PoCs that showcase the capabilities of our AI technology.Application Build: Design, develop, and deploy end-to-end AI-powered applications customized to meet customer needs.Platform Features / Bug Fixes: Contribute to the internal machine learning platform by adding features and resolving issues.New Model Enablements: Integrate and enable new machine learning models within the existing platform or client environments.Performance Optimizations: Enhance the performance, efficiency, and scalability of deployed models and applications.Partnership Enablement: Collaborate closely with partners to facilitate joint AI solutions and ensure effective collaboration.

Roblox is a vibrant platform where millions of users engage daily to explore, create, play, learn, and connect through immersive 3D experiences, all crafted by our diverse community of developers and creators.At Roblox, we are dedicated to building innovative tools and platforms that empower our community to turn their imaginative experiences into reality. Our vision is to revolutionize how people connect from anywhere in the world, across any device. We are on a purposeful mission to unite a billion individuals with positivity and respect, and we are seeking exceptional talent to help us achieve this goal.Joining Roblox means contributing to the evolution of human interaction, tackling unique technical challenges at scale, and fostering safer, more respectful shared experiences for all.In the role of Distinguished Machine Learning Engineer/Technical Director within the Safety organization at Roblox, you will spearhead the technical vision and execution of machine learning projects aimed at ensuring user safety and promoting civility. Our top-tier safety features are what make Roblox a secure and inclusive space for creative expression and shared experiences. The Safety team plays a critical role in maintaining Roblox as one of the safest platforms on the internet, protecting users as our platform grows to accommodate diverse age groups and locations.You Will:Take ownership of the technical direction and implementation of machine learning solutions for safety systems.Lead and mentor fellow engineers, fostering an environment of technical excellence and inclusivity.Translate long-term product requirements into manageable milestones, ensuring ongoing enhancements.Design and develop large-scale machine learning models with billions of parameters, ensuring they are production-ready.Navigate complex technical decisions across teams, showcasing empathy and fostering mutual understanding.Work collaboratively with cross-functional teams to outline and prioritize the machine learning roadmap.

About WisdomAIAt WisdomAI, we are committed to democratizing access to data and insights for everyone. We leverage the transformative potential of Generative AI to revolutionize how organizations utilize data for informed decision-making. Join us now, as we partner with multiple Fortune 100 companies and embark on an exciting journey to shape the future of data accessibility and understanding.Position OverviewWe are on the lookout for talented Machine Learning and Natural Language Processing engineers to join our dynamic team. You will tackle core challenges in large language model (LLM) code generation, document comprehension, context synthesis, and the development of LLM-based agents. Our team is comprised of seasoned professionals who hail from industry leaders such as Glean, Apple, Rubrik, Google, and Meta.Key ResponsibilitiesDevelop workflows and agentic pipelines to handle complex analytical tasks.Design and implement an evaluation framework for our query processing engine.Collaborate closely with customers and founders to establish the product and engineering roadmap.Influence the engineering culture and technology stack at WisdomAI.

About the RoleAt Generalist, we are at the forefront of training expansive robot foundation models, leveraging cutting-edge GPU hardware, primarily from Nvidia, to execute distributed training tasks and experimental research. Our operations demand exceptional storage solutions and optimized data loading processes, necessitating the full utilization of cloud infrastructure alongside custom-built solutions.In this role, you will take charge of our inference infrastructure. Our robotic systems rely on a dedicated fleet of on-premises GPUs designed for demanding real-time computations and latency-sensitive applications within resource-constrained environments.Your Responsibilities:Manage and optimize our GPU compute fleets.Facilitate user-friendly access to GPUs for researchers, ensuring optimal utilization.Enhance ML data loading, transport, and storage systems in extensively utilized distributed environments.Oversee the orchestration of our robot inference fleets.You May Excel in This Position If You:Have experience managing large GPU fleets for large-scale, distributed training or inference.Possess significant expertise in using Slurm or Kubernetes for ML workload orchestration.Have developed high-scale ML data loaders and preparation systems.Understand the intricacies of ML hardware, storage, and networking systems.Are familiar with the Nvidia GPU ecosystem.

Join Roblox as a Senior Machine Learning Engineering Manager and lead a dynamic team focused on developing cutting-edge machine learning solutions. In this role, you will be responsible for overseeing the design, implementation, and optimization of algorithms that enhance user experience and gameplay. Your leadership will guide the team in leveraging data to drive strategic decisions, ensuring our platform remains at the forefront of technology.