Voice Engineer Salary in Palo Alto, CA

Director of Product ManagementPalo Alto, CA - Full-Time, Hybrid855 El Camino Real Palo Alto, California 94301 - (will need to go into the office 2-3 days a week)Reports To: CTO*Very Important to note that this position will have occasional international travel.*MISSION/CORE PURPOSE OF THE JOB:Envision taking your career to the next level as a Director of Product Management working for a leading Silicon Valley data platform and services company. You will be the voice of product and will have the opportunity to see first-hand how the products are changing outcomes for our clients worldwide. You will be challenged with technological and market advances, and your responsibilities include product ownership, innovation, release management, and on time deliveryKEY FUNCTIONS:Product ownership/definition, Release management, Product fact sheet documentation, and key product artifacts creation and updatesImplement and continuously improve project management tools and processes to ensure on time deliveryManage multiple product related projects with various independent tracks with an understanding of the organization's strategies, priorities, and constraintsDefine the scope and overall objectives of the projects, as well as the product increments, while providing leadership and visionEnsure coordination of schedules, deliverables and dependencies with the different project teams and clientsProduce and communicate project KPIs, manage risks and propose mitigation measuresLead and drive implementation of technology projects based on project objectives and business requirements for remote teams in different time zonesEngagement Planning - technical understanding, strategic and API-led mindsetParticipate in defect triage and work with project teams to resolve prioritized defect fixesProduct Roadmaps - work with stakeholders and technical teams to build product roadmapsDemand Management - support processes that encompass evaluation of business needs against the available team capacity specifically assessing the ability of our Organization, Vendors, and Processes to carry out the prioritized activitiesRequirements Gathering - manage processes inclusive of functional, system and architectural requirements following Agile or Waterfall methodologyQuality Assurance - work with product teams and clients to ensure quality standards are metSKILLS/QUALIFICATIONS:Strong understanding of technical and feature requirements gathering with customer focusAbility to learn and adapt to new technologies and market changes and drive innovations into the productPrevious experience working on data fabric/data mesh platforms related to highly scalable analytics, AI, and cloud deployed platform productsPrevious experience coordinating and managing projects across cross-functional teams and across time zonesExperience working with both Waterfall and Agile product development and project management processesUnderstanding of emerging technologies in data processing/analytical/AI platforms and API platformsUniversity degree, preferably in Engineering, Computer Science or Business analyticsMinimum 4 years of platform product development or product management experience or Background building scalable data systems for large organizationMinimum 5 years of project management experience related to platform productsA team player, fostering collaboration and creativity in an open and honest environmentExcellent in collaborating in the delivery of initiatives and the ability to link your expertise with business needs to create valueComfortable working in constantly evolving complex environments and multidisciplinary teamsAn excellent communicator, adept at negotiating, risk management and decision-makerMobilizer, organized and results orientedLOCATION & TRAVEL REQUIREMENTS:This position might require occasional international travel to visit customers and distributed product teamsreq24-00100

Job Description:We are looking for an experienced Lead Generative AI Engineer to train, optimize, scale, and deploy a varietyof generative AI models such as large language models, voice/speech foundation models, vision andmulti-modal foundation models using cutting-edge techniques and frameworks. In this hands-on role, you willarchitect and implement state of art neural architecture, robust training and inference infrastructure toefficiently take complex models with billions of parameters to production while optimizing for low latency,high throughput, and cost efficiency.Key Responsibilities:1. Architect and refine foundation model infrastructure to support the deployment of optimized AImodels with a focus on C/C++, CUDA, and kernel-level programming enhancements.2. Implement state-of-the-art optimization techniques, including quantization, distillation, sparsity,streaming, and caching, for model performance enhancements.3. Spearhead the development of Vision pipelines, ensuring scalable training and inference workflows of10s and 100s of billions of parameter foundation models.4. Should be able to innovate for the state-of-the-art architectures involving Panoptic Segmentation,Image Classification and Image Generation. It is expected that the candidate experiments with theinternals of Vision Transformers and convolutional Models like ConvNext, CLIP, Visual QuestionAnswering (VQA) and Diffusion Models. Practice around AI Arts, Image Prompts, Conditional ImageGeneration will be an additional advantage.5. Execute training and inference processes with a key emphasis on minimizing latency and maximizingthroughput, utilizing GPU clusters and custom hardware.6. Innovate on current model deployment platforms, employing AWS, GCP, and GPU clusters, to enablehigh scalability and responsiveness.7. Integrate and tailor frameworks such as PyTorch, TensorFlow, DeepSpeed, and FSDP for theadvancement of super-fast model training and inference.8. Advance the deployment infrastructure with MLOps frameworks such as KubeFlow, MosaicML,Anyscale, Terraform, ensuring robust development and deployment cycles.9. Enhance post-deployment mechanisms with exhaustive testing, real-time monitoring, andsophisticated explainability and robustness checks.10. Drive continuous improvement initiatives for deployed models with automated pipelines for driftdetection and performance degradation.11. Lead the charge in model management, encompassing version control, reproducibility, and lineagetracking.12. Cultivate a culture of high-performance computing and optimization within the AI/ML domain,propagating best practices and knowledge sharing.Qualifications:1. Ph.D. with 5+ years or MS with 8+ years of experience in ML Engineering, Data Science, or relatedfields.2. Demonstrated expertise in high-performance computing with proficiency in Python, C/C++, CUDA, andkernel-level programming for AI applications.3. Extensive experience in the optimization of training and inference for large-scale AI models, includingpractical knowledge of quantization, distillation, and Vision Pipelines.4. It will be of additional benefit if the Candidate understands Diffusion Models (DDPM), VariationalAutoencoders, Bayesian Modelling, Stochastic Variational Inference (SVI) and ReinforcementLearning.5. Experience in building 10s and 100s of billions of parameters generative AI foundation models6. AI training job scheduling, orchestration, and management via SLURM and Kubeflow.7. Proven success in deploying optimized ML systems on a large scale, utilizing cloud infrastructures andGPU resources.8. In-depth understanding and hands-on experience with advanced model optimization frameworks suchas DeepSpeed, FSDP, PyTorch, TensorFlow, and corresponding MLOps tools.9. Familiarity with contemporary MLOps frameworks like MosaicML, Anyscale, Terraform, and theirapplication in production environments.10. Strong grasp of state-of-the-art ML infrastructures, deployment strategies, and optimizationmethodologies.11. An innovative problem-solver with strategic acumen and a collaborative mindset.12. Exceptional communication and team collaboration skills, with an ability to lead and inspire.