Senior Software Product Manager at Aperia Technologies | San Mateo, CA

Aperia Technologies is pioneering a transformative era of efficiency and sustainability for commercial vehicle fleets through groundbreaking hardware and data analytics solutions. As the creators of the award-winning Halotm Automatic Tire Inflator and the cloud-based Halo Connect tire analytics platform, Aperia is dedicated to saving fleets thousands of hour…

About the TeamBecome a part of a pioneering team at the intersection of artificial intelligence and biochemistry.At Genesis Molecular AI, we are a dynamic collective of distinguished deep learning researchers, software engineers, and innovators in drug discovery. Our ambitious mission is to develop the next frontier of AI foundation models to unlock revolutionary treatments for patients battling serious diseases.We are not merely applying machine learning to biological problems; we are engaged in groundbreaking research that bridges machine learning, physics, and computational chemistry, challenging the limits of each discipline. The Genesis AI team is constructing the engine for this transformation. You will collaborate closely with leading multidisciplinary researchers to design and implement generative and discriminative foundation models at scale, utilizing extensive computational resources and large-scale simulations.About the RoleThis is a unique opportunity for a scientific innovator to influence the future landscape of generative AI in drug discovery. As a pivotal member of the Genesis AI team, you will direct our research strategy for foundation models. You will spearhead critical research initiatives in areas such as reinforcement learning, innovative model architectures, and advanced pretraining and post-training techniques. Your primary goal will be to develop transformative models and insights that play a crucial role in the discovery of new medications.This position demands a profound curiosity and a commitment to collaboration. You will be an integral team player, partnering closely with our exceptional engineers and drug discovery specialists to realize complex concepts. Additionally, we encourage you to engage with the scientific community, and we will actively support your endeavors to publish significant research findings in prestigious ML conferences such as NeurIPS, ICML, and ICLR.We are hiring for various levels of seniority: Senior, Staff, and Principal.Your ResponsibilitiesLead innovative research projects from inception to execution, addressing fundamental challenges in generative modeling for molecular systems.Design and develop advanced models and algorithms, leveraging the latest advancements in diffusion models, flow matching, reinforcement learning, and large language models.Conduct large-scale experiments utilizing our premier computational resources to validate your research.

About Us:At Fireworks AI, we are at the forefront of developing innovative generative AI infrastructure. Our platform is recognized for delivering top-tier models and the industry's fastest, most scalable inference capabilities. As an industry leader in LLM inference speed, we are pushing boundaries with groundbreaking projects, including our own function calling and multimodal models. Fireworks is a Series C startup valued at $4 billion, supported by premier investors such as Benchmark, Sequoia, Lightspeed, Index, and Evantic. Our passionate and collaborative team is comprised of seasoned professionals from Meta PyTorch and Google Vertex AI.The Role: We are seeking a Training Infrastructure Engineer to design, build, and optimize the infrastructure that underpins our large-scale model training operations. Your contributions will be pivotal in establishing high-performance AI training infrastructure. You'll work closely with AI researchers and engineers to develop robust training pipelines, optimize distributed training workloads, and guarantee the reliability of model development.