remote sensing research scientist

Waymo

<div><p>MOUNTAIN VIEW, CALIFORNIA, UNITED STATES</p>
<p>FULL-TIME</p>
<p>AI FOUNDATIONS</p>
<p>4391</p></div>
<br><div></div><div><div><div><div><div><div>Add to favorites
</div></div> <div></div><div>View favorites
</div>
</div><div><div><p>Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver&mdash;The World's Most Experienced Driver&trade;&mdash;to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo&rsquo;s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.</p></div><p>
The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation.</p>
<p>
In this hybrid role, you will report to a Principal Scientist.</p>
<p><b>
You will:</b></p>
<ul>
<li>Participate in Waymo&rsquo;s Foundation World Model post-training and evaluation</li>
<li>Research and develop cutting edge RL and Distillation techniques for Autonomous Vehicle Trajectory Planning</li>
<li>Integrate emerging research from the broader AI community into Waymo&rsquo;s internal RL infrastructure, conducting rigorous ablations to identify and scale the most promising methods</li>
<li>Partner with engineering and research teams across Waymo to share recipes, techniques, and post-training best practices to accelerate our collective know-how</li>
</ul>
<p><b>You have:</b></p>
<ul>
<li>PhD or Masters in Computer Science, Machine Learning, Robotics, or a similar technical field; with 3+ years of industry or post-doc research experience in Reinforcement Learning or Foundation Models</li>
<li>Demonstration of original contributions to the field through high-impact publications (ArXiv, peer-reviewed conferences like NeurIPS/ICLR/CVPR), technical blog posts, or significant open-source contributions</li>
<li>Proficiency in implementing model training flows in a scalable, distributed and performant manner such as Data parallel, FSDP and other sharding approaches</li>
<li>A willingness to work with complexity of globally distributed inference infrastructure</li>
</ul>
<p><b>We prefer:</b></p>
<ul>
<li>PhD in Computer Science, Machine Learning, or Robotics, with a research focus on Reinforcement Learning, Foundation Models, or Multi-Modal learning</li>
<li>Extensive experience designing and deploying Reinforcement Learning infrastructure, specifically for on-policy learning or alignment with human preferences</li>
<li>A consistent history of original contributions to the AI community, evidenced by first-author publications at top-tier venues (e.g., NeurIPS, ICLR, ICRA) or maintaining significant open-source ML projects</li>
<li>Experience with large scale (many-machine) training infrastructure and techniques for inference with large models such as model sharding/tensor-parallel</li></ul><br>
<p></p>
<p>
((Remote jobs only - Please note that Waymo may not be able to employ remotely in all locations. Please speak with your recruiter about your preferred location for remote work when you begin the interview process.))</p><div><div>
<div>
<p>The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.</p>
<p>
Waymo employees are also eligible to participate in Waymo&rsquo;s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.</p>
</div>
<div>Salary Range</div>
<div>$204,000&mdash;$259,000 USD</div></div></div></div></div></div></div>

Research Scientist, RL for Autonomous Planning & World Modeling

LivingPath

<p>We are looking for a highly motivated, dynamic and proactive Remote Research Specialist to join our team. In this role your primary responsibility will be to call various US real estate companies to collect information on the pricing and availability at their properties. This is a part-time remote position.</p><p><b>Essential Job Duties and Responsibilities:</b></p><ul><li>Place outbound voice calls and communicate with energy and enthusiasm;</li><li>Achieve and exceed performance targets with our team;</li><li>Acquire data from primary or secondary data sources;</li><li>Input new data into our database.</li></ul><p><b>Required Skills and Abilities:</b></p><ul><li>Fluent English;</li><li>Excellent verbal and written communication skills;</li><li>Excellent convincing skills. Highly analytical and creative;</li><li>Skills in primary research, interviewing and data gathering;</li><li>Strong phone presence and capable of doing multiple calls per day;</li><li>Ability to handle a high volume of inbound and outbound calls.</li></ul><p>Job Types: Part-time, Contract</p><p>Pay: $18.00 - $30.00 per hour</p><p>Benefits:</p><ul><li>Flexible schedule</li><li>Referral program</li></ul><p>Work Location: Remote</p>

Research Specialist - Remote

Oak Ridge National Laboratory

<div><p>Requisition Id 16106</p><p><b>
Overview:
</b></p><p>Oak Ridge National Laboratory is the largest US Department of Energy science and energy laboratory, conducting basic and applied research to deliver transformative solutions to compelling problems in energy and security.</p><p></p><p><br>
We are seeking a Postdoctoral Research Associate who will support the Signals Collections and Analysis Group in the Nuclear Nonproliferation Division (NND), National Security Sciences Directorate (NSSD) at Oak Ridge National Laboratory (ORNL).</p><p><br>
</p><p>NSSD leads transformative research to address critical threats to national security. Leveraging a diverse array of capabilities in nuclear nonproliferation, data analytics, cybersecurity, cyber-physical resiliency, geospatial science, and high-performance computing, our organization seeks to produce world-class S&amp;T products for sensitive national security missions.</p><p></p><p><br>
The selected candidate will support research efforts in signal processing and analysis, with an emphasis on the development of novel algorithms to interpret results from complex data streams. The successful postdoctoral associate will be a highly motivated and creative problem solver to produce customized solutions for challenging nonproliferation problems.</p><p></p><p><b><br>
Major Duties/Responsibilities:</b></p><ul><li>
Perform processing and analysis on multimodal data streams, including RF, optical, and spectral signals</li><li>
Develop statistically defensible algorithms to identify and characterize radiated emissions from transmitters of interest</li><li>
Provide feedback on signal quality/attributes of collected data to support hardware development efforts</li><li>
Support planning of experimental campaigns to optimize utility of captured signals</li><li>
Conceive, write, and submit proposals to develop and expand a research program investigating signal collection and analysis for mission objectives</li></ul><p></p><p><b><br>
Qualifications:</b></p><ul><li>
A PhD in electrical engineering, nuclear engineering, chemistry, physics, or a related field completed within the last 5 years</li><li>
Demonstrated expertise with digital signal processing in the time- and frequency-domain</li><li>
Demonstrated expertise with scientific analysis and programming software such as C, Python, MATLAB, Igor, or comparable equivalent</li><li>
A background in productive and creative research efforts, exemplified by peer-reviewed journal publications</li><li>
Excellent written and oral communication skills</li><li>
Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory</li><li>
Ability to function well in a complex research environment requiring adaptability to satisfy sponsor and mission requirements</li></ul><p></p><p><b><br>
Special Requirements:</b></p><ul><li>
Q clearance with SCI: This position requires the ability to obtain and maintain a Secret Compartmented Information (SCI) clearance from the Department of Energy. As such, this position is a Workplace Substance Abuse (WSAP) testing designated position. WSAP positions require passing a pre-placement drug test and participation in an ongoing random drug testing program. In addition, due the SCI, you may also be subject to random polygraph testing.</li></ul><p></p><p><b><br>
About ORNL:</b></p><p>
As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation&rsquo;s most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation.</p><p></p><p><br>
ORNL offers competitive pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a range of employee benefits, including medical and retirement plans and flexible work hours, to support the well-being of you and your family. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also available for added convenience.</p><p></p><p><br>
Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts.</p><p></p><p><br>
If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov</p><p>
This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.</p><p><br>
We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment.</p><p><br>
ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.</p></div>

Postdoctoral Research Associate - Signal Collections and Sensor Development

YO IT CONSULTING

<div><div><h3 class="jobSectionHeader"><b>Location:</b><b> Remote</b><br>
<b>Job Type:</b><b> Contract</b></h3>
<h3 class="jobSectionHeader"><b>Role Description</b></h3>
Join a dynamic and fast-growing AI infrastructure company that collaborates with Fortune 100 clients to shape the future of machine learning and artificial intelligence. As a Data Annotator, you will be responsible for accurately identifying, classifying, and annotating entities within PDF documents. Your work will directly contribute to training AI models that extract structured information from complex documents, making high-quality annotation critical to project success.</div>
<div><h3 class="jobSectionHeader"><b>Your Profile</b></h3>
<ul><li>Bachelor&rsquo;s degree (any field; preference for Technology, Engineering, or Data-related disciplines).</li>
<li>6 months &ndash; 2+ years of experience in data annotation, labeling, or similar roles (preferred but not mandatory).</li>
<li>Strong attention to detail and ability to follow complex annotation guidelines.</li>
<li>Basic understanding of document structures (text blocks, tables, forms, figures, etc.).</li>
<li>Ability to interpret and apply rules related to bounding boxes, classification, and reading order</li>
<li>Comfortable working with repetitive tasks while maintaining high accuracy.</li>
<li>Familiarity with annotation tools or platforms is a plus.</li>
</ul></div><div><h3 class="jobSectionHeader"><b>Key Responsibilities</b></h3>
<ul><li>Annotate PDF documents by drawing precise bounding boxes around entities such as text, tables, figures, captions, headers, and key-value structures.</li>
<li>Classify annotated elements according to project guidelines.</li>
<li>Ensure bounding boxes are tight, accurate, and follow annotation standards.</li>
<li>Maintain correct reading order and logical structure across document elements.</li>
<li>Handle complex layouts including multi-column text, forms, tables, and rotated pages.</li>
<li>Follow detailed annotation instructions and apply rules consistently across all tasks.</li>
<li>Identify and flag unclear cases or guideline gaps to supervisors.</li>
<li>Maintain confidentiality and adhere strictly to data security policies.</li></ul></div></div><div></div>

Data Labeling Expert - Remote

Search 10000+ Remote sensing research scientist jobs near you this April. New roles added regularly across leading industries. Apply today.

10000 remote sensing research scientist jobs Near Me

Research Scientist, RL for Autonomous Planning & World Modeling

Research Specialist - Remote

Postdoctoral Research Associate - Signal Collections and Sensor Development

Data Labeling Expert - Remote

Data Labeling Expert - Remote

Data Labeling Expert - Remote

Data Labeling Expert - Remote