Field Implementation Manager Jobs

The Prediction & Behavior ML team is responsible for developing machine learning (ML) algorithms that learn and predict behaviors from data, applying them both on-vehicle to influence driving behavior and off-vehicle to provide ML capabilities to simulation and validation. Given the tight integration of behavior forecasting and motion planning, our team collaborates closely with the Planner team to advance overall vehicle behavior. We also work closely with our Perception, Simulation, and Systems Engineering teams to accelerate our ability to validate our driving performance. As a Learned Trajectory Machine Learning Engineer you will be responsible for developing deep learned models that produce trajectories for our vehicles to drive. Given the tight integration of behavior prediction and motion planning, you will closely collaborate with the Planner and Perception teams in the advancement of our overall vehicle behavior. In this role, you will: You will develop new deep learning models that use imitation learning and reinforcement learning to generate driving plans for our autonomous vehicle. You will also work on techniques to estimate the quality of those driving plans along the dimensions of safety, progress, comfort etc. You will leverage our large-scale machine learning infrastructure to discover new solutions and push the boundaries of the field You will develop metrics and tools to analyze errors and understand improvements of our systems You will collaborate with engineers on Perception, Planning, and Simulation to solve the overall Autonomous Driving problem in complex urban environments Qualifications BS, MS, or PhD degree in computer science or related field Experience with training and deploying transformer-based model architectures and reinforcement learning Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines Fluency in C++

The Prediction & Behavior ML team is responsible for developing machine learning (ML) algorithms that learn and predict behaviors from data, applying them both on-vehicle to influence driving behavior and off-vehicle to provide ML capabilities to simulation and validation. Given the tight integration of behavior forecasting and motion planning, our team collaborates closely with the Planner team to advance overall vehicle behavior. We also work closely with our Perception, Simulation, and Systems Engineering teams to accelerate our ability to validate our driving performance. As a Learned Trajectory Machine Learning Engineer you will be responsible for developing deep learned models that produce trajectories for our vehicles to drive. Given the tight integration of behavior prediction and motion planning, you will closely collaborate with the Planner and Perception teams in the advancement of our overall vehicle behavior. In this role, you will: You will develop new deep learning models that use imitation learning and reinforcement learning to generate driving plans for our autonomous vehicle. You will also work on techniques to estimate the quality of those driving plans along the dimensions of safety, progress, comfort etc. You will leverage our large-scale machine learning infrastructure to discover new solutions and push the boundaries of the field You will develop metrics and tools to analyze errors and understand improvements of our systems You will collaborate with engineers on Perception, Planning, and Simulation to solve the overall Autonomous Driving problem in complex urban environments Qualifications BS, MS, or PhD degree in computer science or related field Experience with training and deploying transformer-based model architectures and reinforcement learning Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines Fluency in Pyt

Please send CVs to [email protected] with “202 7 QR Summer Internship Application” in the subject line. When your application is received, we will consider you for all similar positions at Cubist. About Our Firm: Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. About Our Team: KEPL is a fast-growing team at Cubist Systematic Strategies. We specialize in trading medium-frequency statistical arbitrage strategies with high Sharpe. The team is made up of people from top universities and top tier trading and tech firms. We have an open and collaborative culture, and we value rigorous research and innovative technologies. Role / Experience: We are looking for exceptional students to be our quantitative researcher interns for the summer of 2027 . An ideal candidate should have a strong passion and initiative to work in a start-up environment. He/she should have strong analytical skills and be able to solve hard problems rigorously. Our typical intern candidates come from quantitative PhD programs of top US universities. Our internship program offers unique KEPL experience. During the internship, our interns will receive rigorous and comprehensive trainings. They will develop strong research skills through working closely with our full-time researchers on brand new quant trading models with real-world impact. We will consider full-time offers for interns after the internship. Requirements: PhD candidate in math/physics/statistics/EE/CS, or other quantitative fields Strong knowledge of computational math, probability, and statistics Strong analytical skills, with attention to details Good communication skills Willing to work in a fast-paced start-u

P-8 At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Data Engineering is foundational and among the largest scale workloads on the Databrick Data Intelligence Platform. We are reinventing Data Engineering with Lakeflow - a unified product and experience for simple data ingestion, declarative data transformation, and real-time streaming. In this role, you will lead product management for a core Lakeflow product area. You will own and drive all aspects of product management including vision, strategy, roadmap, execution, and go-to-marketing. In addition, you will partner closely with various Databricks product teams to enable Data Engineering for the overall Databrick product portfolio including data science, data warehousing, business intelligence, and machine learning products. The impact you will have Lead product management for one of the fastest growing products and businesses at Databricks Make company wide impact by driving Data Engineering across the Databricks product portfolio Develop and deepen understanding of and expertise in Data Engineering, a foundational domain in the data and AI industry Define, shape, and drive the future of data processing, data applications, and data pipelines Own the full life cycle of product development from ideation to requirements, development, pricing, launch, and go-to-market. What We Look For 5+ years of product management and related experience with enterprise or SaaS products. Educational or professional background in computer science or related engineering fields. Ability to partner with senior technical leaders from Engineering, while going deep on technical concepts. Track record of delivering products

About us Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor and Clay Bavor . Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you’ll do Run the monthly and quarterly commission cycle, from pulling data and calculating commissions to validating payouts, getting approvals and handing off to payroll. Investigate rep questions, document what you find, recommend fixes, and clear issues quickly so reps trust their payouts. Work with Salesforce and data owners to keep source data clean, map new fields and deal types, and find upstream problems before they turn into payout errors. Reconcile and audit payouts against payroll, bookings and plan terms every cycle. Model the cost and payout impact of proposed plan changes and set up new plans in the system. Automate manual steps, tighten SLAs and build reporting on attainment, payout cost and comp effectiveness. What you’ll bring 5+ year

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Join Micron’s SSD Controller Engineering team, where we develop advanced memory and storage technologies that power cloud, AI, and enterprise computing. We work across global teams to deliver innovative, high-quality storage solutions that help transform information into intelligence and enrich life for all. As a Principal PCIe ASIC Application Engineer, you will lead validation efforts for next-generation SSD controller ASICs from development through production. This is a highly visible technical leadership role where you will drive validation strategy, solve complex system challenges, and collaborate with architecture, firmware, design verification, and product engineering teams to ensure successful product delivery. Responsibilities: Lead ASIC validation activities from pre-silicon FPGA development through product qualification and production release Develop and implement validation plans covering functional, performance, power, reliability, and system-level testing Perform post-silicon bring-up, debug, and root-cause analysis across PCIe, NVMe, DDR, NAND/ONFI, and firmware subsystems Build automation frameworks, validation tools, and test infrastructure to improve efficiency and coverage Provide technical leadership, mentor engineers, and drive teamwork across global multi-functional teams Minimum Qualifications: Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field 10+ years o

Become a part of our caring community The Provider Contracting Professional supports the West Region in the negotiation, analysis, and maintenance of physician and other provider agreements for an organization delivering healthcare to the senior population. You will assist with contract management activities, provides analytical support, and ensure accurate documentation within established processes and guidelines. You will report to a Director, Provider Contracting. Job Responsibilities: Support the contracting team in drafting, reviewing, and processing provider contracts and amendments Collaborate with market engagement, leadership, and legal teams to facilitate contract execution and resolve basic contract term revisions Assist in communicating contract terms, payment structures, and reimbursement rates to IPA and ACO provider groups under the guidance of senior staff Conduct initial financial analyses of contracts and terms; prepare summaries for senior review Maintain contract files and documentation within the organization's tracking system, ensuring accuracy and compliance Assist in identifying and reaching out to potential providers for network development based on current needs and network composition Prepare reports and updates for contracting initiatives as requested Manage assigned priorities and deadlines, escalating complex issues to senior team members Use your skills to make an impact Required Qualifications 2+ years' experience in provider contracting, network management, or a related healthcare field Knowledge of managed care or value-based contracting Understand contract terms and basic financial impact Preferred Qualifications Experience supporting ACO or IPA provider

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: Do you want to fast track your career? Are you an adept communicator with internal and external stakeholders? We are looking for an analytical Rockstar to join our fast-paced and hardworking Freddie Mac Multifamily Underwriting team. We’re looking for someone who is smart, a fast learner, strong with numbers and can hustle. Apply now to contribute to our mission of Making Home Possible. Our Impact: We are responsible for underwriting conventional multifamily loans originated by our Production partners Innovate based on market behaviors while efficiently analyzing, mitigating, and clearly defining credit risk Evaluating the overall story and making decisions on the credit risk profile Your Impact: Build toward credit approval and closing individual mortgage loans collateralized by multifamily properties Accurately prepare concise, complete, and clear Investment Briefs for loan approval and loan commitment Apply company principles/policies and critical thought to complete assigned tasks accurately, completely, and in a timely manner Collaborate and communicate with external and internal business partners to solve problems and achieve shared success Qualifications: Bachelor’s degree in real estate, finance, economics, business administration, or related field 1 to 3 years of related work experience in the commercial/multifamily real estate industry Knowledge of real estate property fundamentals and real estate lending/underwriting Strong written and verbal communicati

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Beyond the typical Scribe role, these important care team members serve as clinical documentation assistants to their paired provider. Internally, we call them CISs (Clinic Informatics Specialists) in recognition of their important role in supporting accurate, specific, and timely clinical documentation. In addition to observing and documenting all patient encounters in real time, our Scribes become experts in our value-based care model and the documentation and care of chronic conditions, including ICD-10 and CPT coding. Scribes use this expertise to help providers identify and help close care gaps. Scribes receive extensive on-the-job training in clinical workflows, value-based medicine, preventative care for chronic conditions, accurate and specific documentation, population health data streams, and team based care. Because our patients and providers rely on our Scribes, the ideal candidate should commit at least 1-2 years to this role. This is an excellent opportunity for pre-med track individuals looking to gain practical, paid experience in a clinical setting before applying to an MD/DO/PA/NP program, as well as those pursuing careers in Health Informatics, Public Health, Healthcare Administration, Medical Coding, and other related fields. Check out this <a href="https://drive.google.com/file/d/1xNEBBvLUXmNPLViIRhhqr2hGpjTZrvin/view?usp&#61;sharing" target="_blank"