7 analyst machine learning central jobs found

Job Description A large Infrastructure Design team leads the development of innovative solutions for complex R&D and manufacturing facilities across the Bay Area and beyond. They specialize in creating sophisticated infrastructure systems that power next-generation research and production environments. They are seeking a specialized BMS Controls Engineer to bridge the gap between Facilities Operations and Data Science teams. The ideal candidate will optimize the Building Management Systems (BMS) not just for operation, but for high-fidelity data acquisition. You will work closely with facilities personnel to instrument systems, validate sensor accuracy, and architect the data pipeline required to feed predictive Machine Learning models. What You'll Do Collaborate with facilities staff to identify critical control points and sensors required for ML modeling. Translate the complex requirements of the ML team into technical tasks for the facilities team....

The opportunity At Unity, we’re committed to building a culture that fosters collaboration and innovation. Within our fast-paced environment, we’re tackling complex challenges that drive meaningful impact for creators and users across our ecosystem. Our Foundation Modeling team plays a central role in this effort by developing state-of-the-art conversion rate (CVR) prediction and market price models that power our ad ranking and recommendation systems. By leveraging large-scale data and contextual signals, we continuously enhance prediction relevance and accuracy. This drives outcomes such as higher user engagement, stronger conversion performance, and better return on ad spend—helping advertisers achieve their goals while delivering a more engaging experience for users. We are seeking a highly skilled Senior ML Engineer to build and maintain advanced systems for understanding user behavior across applications. You will be responsible for improving ad ranking, conversion...

About Exponent Exponent is the only premium engineering and scientific consulting firm with the depth and breadth of expertise to solve our clients’ most profoundly unique, unprecedented, and urgent challenges. Our vision is to engage multidisciplinary teams of science, engineering, and regulatory experts to empower clients with solutions that create a safer, healthier, more sustainable world. For over five decades, we've connected the lessons of past failures with tomorrow's solutions to advise clients as they innovate technologically complex products and processes, ensure the safety and health of their users, and address the challenges of sustainability. Join our team of experts with degrees from top programs at over 500 universities and extensive experience spanning a variety of industries. At Exponent, you’ll contribute to the diverse pool of ideas, talents, backgrounds, and experiences that drives our collaborative teamwork and breakthrough insights. Plus, we help you...

Lensa is a career site that helps job seekers find great jobs in the US. We are not a staffing firm or agency. Lensa does not hire directly for these jobs, but promotes jobs on LinkedIn on behalf of its direct clients, recruitment ad agencies, and marketing partners. Lensa partners with DirectEmployers to promote this job for Amazon. Clicking "Apply Now" or "Read more" on Lensa redirects you to the job board/employer site. Any information collected there is subject to their terms and privacy notice. Description Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team you’ll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed machine learning inference datacenter server. Our success depends on our world-class server infrastructure; we’re handling massive scale and rapid integration of emergent technologies. We’re...

Software Engineer, Simulation Hawthorne, CA Apply SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars. SOFTWARE ENGINEER, SIMULATION As a software engineer on the Numerical Modelling team, you will develop, improve, and advance our in-house multiphysics simulation engine-currently supporting high-pressure die casting and investment casting processes-to the next level. This role will expand the engine's capabilities to additional manufacturing domains, including additive manufacturing, welding, structural stress and strain analysis, grain prediction, and more. You will help apply these simulations to increase part yield, reduce inspection burden, and optimize parts across Raptor, Starship, Starlink, and other programs at SpaceX. Strong C++...

Job Description General Motors is a global leader in advanced driver assistance. With Super Cruise hands-free technology in more than 500,000 Super Cruise-equipped vehicles on the road, and over 700 million hands-free miles driven, GM is proving that automation can be trusted, intuitive, and helpful. GM has the global reach to bring cutting-edge advances to everyday drivers at unprecedented scale. Join us to help deliver the next generation of safe and delightful personal autonomous vehicle experiences. The Evaluation team builds and evolves the evaluation ecosystem that powers developing and scaling GM's autonomous driving technology. We develop metrics, automated workflows, and analysis approaches that enable data-driven decisions across AV development and verification. Partnering with Autonomy, Simulation, Systems, and Safety teams, we act as system-level integrators and arbiters of end-to-end AV quality. We own large scale test scenario libraries, continuous evaluation...

Job Description As a Principal Data Scientist, you will play a key role in designing, building, and maintaining the data infrastructure that powers statistical analyses and machine learning initiatives for the Network Reliability Engineering organization. You will work closely with data scientists, engineers, and other stakeholders to develop and deploy scalable, efficient, and reliable ETL data pipelines that drive business value. You will also lead initiatives to improve, deliver, and enable reporting and insights. Responsibilities Design, build, and maintain large-scale ETL data pipelines to support statistical analyses and machine learning model training, testing, and deployment Collaborate with data scientists and other stakeholders to understand data needs and develop effective solutions Create comprehensive data strategies to enable reporting, analytics, and machine learning Conduct research to evaluate data and answer strategic business...