applied science manager, artificial general intelligence Jobs in San Francisco

applied science manager, artificial general intelligence

computational scientist, spatial omics Jobs in San Francisco

computational scientist, spatial omics

machine learning scientist, risk Jobs in San Francisco

machine learning scientist, risk

software engineer, ai agents Jobs in San Francisco

software engineer, ai agents

software engineer, ai product Jobs in San Francisco

software engineer, ai product

machine learning scientist risk

Block

<div><div><p>Since we opened our doors in 2009, the world of commerce has evolved immensely, and so has Square. After enabling anyone to take payments and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn't work together.</p>
<p>
So we expanded into software and started building integrated, omnichannel solutions &ndash; to help sellers sell online, manage inventory, offer buy now, pay later functionality, book appointments, engage loyal buyers, and hire and pay staff. Across it all, we've embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow in one place. Afterpay furthers our goal to provide omnichannel tools that unlock meaningful value and growth, enabling sellers to capture the next generation shopper, increase order sizes, and compete at a larger scale.</p>
<p>
Today, we are a partner to sellers of all sizes &ndash; large, enterprise-scale businesses with complex operations, sellers just starting, as well as merchants who began selling with Square and have grown larger over time. As our sellers grow, so do our solutions. There is a massive opportunity in front of us. We're building a significant, meaningful, and lasting business, and we are helping sellers worldwide do the same.</p>
<h3 class="jobSectionHeader"><b>
The Role</b></h3>
<p>
Square risk is a core function to ensure we keep the platform as well as merchants safe by gaining their trust and through our dedicated economic empowerment. This role sits in the Square Risk Machine Learning team and we partner with product, engineering, data science, policy and operations together to take a principled approach to manage fraudulent activities on our platform.</p>
<p>
We leverage both traditional and SOTA AI and ML techniques to detect and mitigate risks in the ecosystem. We are looking for a strong machine learning engineer to build end to end AIML solutions to elevate our risk management and optimize the way we operate. If you are strong in AIML space, like to work with smart people around the world and have passion to continuously take ownership and pride to challenge and improve stuff, you are the right person we are looking for.</p>
<h3 class="jobSectionHeader"><b>
You Will</b></h3>
<ul><li>Act as the ML modeling DRI, collaborating with platform engineers, product managers, data scientists, and policy analysts to drive the health and success of your risk squad.</li>
<li>Become a risk domain expert and trusted technical leader in your risk squad.</li>
<li>Build AI-powered automation tools or pipelines and propose improvements across Square's ML and broader Block risk ML org.</li>
Own the full lifecycle of ML solutions: data ingestion / processing / enrichment model development deployment<li> iteration.</li>
<li>Champion reusable, scalable solutions by building tools, libraries, and packages that boost team velocity.</li>
<li>Provide technical thought leadership and partner with peers and team lead to define roadmaps and execute on ambitious initiatives.</li>
<li>Contribute positively to team culture as a collaborative, empathetic, and reliable teammate who uplifts others.</li>
</ul><h3 class="jobSectionHeader"><b>You Have</b></h3>
<ul><li>5+ years of software engineering or machine learning experience</li>
<li>A degree (preferably masters or PhD) in Computer Science, Engineering, Statistics, Physics, Applied Math or a related technical field</li>
<li>Hands-on experience independently designing and deploying ML solutions using methods such as tree-based models, deep learning, transfer learning, or reinforcement learning.</li>
<li>Proficiency in modern ML stacks including: PySpark, PyTorch, MLflow, SageMaker, GCP Vertex AI, Workflow orchestration tools (i.e. Airflow, Prefect)</li>
<li>Proficiency with containerization, orchestration, cloud platforms (AWS, GCP), and CI/CD practices.</li>
<li>Experience collaborating with cross-functional teams to prioritize, scope, and deploy ML/AI solutions&mdash;both traditional and LLM-based&mdash;at scale.</li>
<li>Strong written and verbal communication skills with the ability to explain complex concepts to technical and non-technical stakeholders.</li>
<li>A natural sense of curiosity, and a passion for mentoring and helping shape a world-class machine learning team.</li>
</ul>
<p>We're working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, based solely on the core competencies required of the role at hand, and without regard to any legally protected class. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. <b><i>Want to learn more about what we're doing to build an inclusive workplace?</i></b></p>
<p>
Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.</p>
<p>
Zone A: USD $189,000 - USD $283,600</p>
<p>
Zone B: USD $179,600 - USD $269,400</p>
<p>
Zone C: USD $170,100 - USD $255,100</p>
<p>
Zone D: USD $160,700 - USD $241,100</p><div><p><b>
Use of AI in Our Hiring Process</b></p>
<p>
We may use automated AI tools to evaluate job applications for efficiency and consistency. These tools comply with local regulations, including bias audits, and we handle all personal data in accordance with state and local privacy laws.</p>
<p>
Contact us at privacy@block.xyz with hiring practice or data usage questions.</p>
<p><i>
Every benefit we offer is designed with one goal: empowering you to do the best work of your career while building the life you want. Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning are just some of our offering.</i></p>
<p><i>
Block, Inc. (NYSE: XYZ) builds technology to increase access to the global economy. Each of our brands unlocks different aspects of the economy for more people. </i><b><i>Square</i></b><i> makes commerce and financial services accessible to sellers. </i><b><i>Cash App</i></b><i> is the easy way to spend, send, and store money. </i><b><i>Afterpay</i></b><i> is transforming the way customers manage their spending over time. </i><b><i>TIDAL</i></b><i> is a music platform that empowers artists to thrive as entrepreneurs. </i><b><i>Bitkey</i></b><i> is a simple self-custody wallet built for bitcoin. </i><b><i>Proto</i></b><i> is a suite of bitcoin mining products and services. Together, we&rsquo;re helping build a financial system that is open to everyone.</i></p></div></div></div><p></p>

Machine Learning Scientist, Risk

Opendoor

<div><h3 class="jobSectionHeader"><b>About the Role</b></h3>
<p>
We&rsquo;re looking for an experienced Staff / Senior Staff Research Scientist to push the boundaries of applied machine learning and AI at Opendoor. While this role will have a significant impact on our valuation systems &mdash; ensuring we provide the most accurate and transparent pricing possible &mdash; the scope goes well beyond pricing. You&rsquo;ll work across a range of challenging ML problems, from multi-modal modeling to operational optimization, helping us rethink how we use structured and unstructured data to make better decisions for our customers.</p>
<h3 class="jobSectionHeader"><b>
What You'll Need</b></h3>
<ul>
<li><p>Strong software engineering and coding skills in Python, with experience contributing to production codebases</p>
</li>
<li><p>9+ years of experience developing and deploying ML models end-to-end &mdash; from research and prototyping to implementation in production systems</p>
</li>
<li><p>Hands-on experience with deep learning architectures, including ConvNets, Transformers, or similar</p>
</li>
<li><p>Advanced degree (MS or PhD) in computer science, statistics, mathematics, or a related quantitative field</p>
</li>
<li><p>Solid foundation in statistics and experimental design</p>
</li>
<li><p>Strong communication and collaboration skills &mdash; you&rsquo;re comfortable working with cross-functional stakeholders and can communicate technical ideas clearly</p>
</li>
</ul><h3 class="jobSectionHeader"><b>Nice to Have</b></h3>
<ul>
<li><p>Familiarity with Pyspark and distributed data processing</p>
</li>
<li><p>Background in search, recommendation systems, or personalization</p>
</li>
<li><p>Experience working with large language models (LLMs) or vision-language models (VLMs)</p>
</li>
<li><p>A genuine interest in real estate &mdash; no prior experience required, but you'll engage deeply with housing data</p>
</li>
</ul><h3 class="jobSectionHeader"><b>What You'll Do</b></h3>
<ul>
<li><p>Design and deploy architectural improvements to our deep neural network (DNN)-based home valuation models</p>
</li>
<li><p>Build interpretable ML models that can help us explain pricing decisions to customers</p>
</li>
<li><p>Incorporate unstructured data &mdash; like images, videos, or text &mdash; into our forecasting and valuation pipelines using cutting-edge AI models (LLMs, VLMs, etc.)</p>
</li>
<li><p>Collaborate with Engineering and Ops to enhance our human-in-the-loop pricing systems</p>
</li>
<li><p>Improve the feature engineering and model training pipelines that power our production systems</p>
</li>
<li><p>Rethink our risk and optimization models using real-world data and domain insight</p>
</li>
</ul><p>We&rsquo;re a small, nimble team &mdash; there&rsquo;s ample opportunity to work across the entire research and modeling stack.</p>
<h3 class="jobSectionHeader"><b>
Compensation</b></h3>
<p>
The base pay range for this position is <b>$</b><b>238,400 - $327,800</b><b> </b>annually, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.</p><br>
<p></p>
<div><h3 class="jobSectionHeader"><b>About us&hellip;. Powering life&rsquo;s progress, one move at a time</b></h3>
<p>
Since 2014, we&rsquo;ve been reinventing life&rsquo;s most important transaction with a new, simple way to buy and sell a home. The traditional real estate process is broken, and our mission is clear: build a digital, end-to-end experience that makes buying and selling a home simple and certain.</p>
<p>
We&rsquo;re a team of problem solvers, innovators, and operators building the largest, most trusted platform for residential real estate. Whether it&rsquo;s starting a family, taking a new job, or making a life change, we help people move forward with confidence.</p>
<p>
This work isn&rsquo;t easy, and it&rsquo;s not for everyone. But if you want to be part of a team that&rsquo;s tilting the world in favor of people who want to sell, buy, or own a home then you&rsquo;ll find purpose here.</p>
<h3 class="jobSectionHeader"><b>
Opendoor Values Openness</b></h3>
<p>
We believe that being open about who we are and what we do allows us to be better. Individuals seeking employment at Opendoor are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, gender identity or other protected status under all applicable laws, regulations, and ordinances. We collect, use, and disclose applicant personal information as described in our personnel privacy policies. To learn more, you can find the policy details for California residents here and for Canada residents here.</p>
<p>
We are committed to assisting members of the military community in utilizing their skills at Opendoor.<i> </i>U.S. candidates are able to review your military job classification at MyNextMove.org and apply for positions that align with your expertise.</p>
<p>
At Opendoor, we are committed to providing reasonable accommodations throughout our recruitment processes for candidates with disabilities, pregnancy, religious beliefs, or other reasons protected by applicable laws. If you require assistance or a reasonable accommodation, please contact us at TAops-accomodations@opendoor.com.</p></div></div>

Staff / Senior Staff Research Scientist

Genentech

<div><div><div>THE POSITION</div><div><b>
THE OPPORTUNITY</b></div><p>
The Research Pathology Department, an integral part of Genentech&rsquo;s Research and Early Development Organization (gRED), is dedicated to ensuring that strategies for the treatment of diseases are grounded in accurate analyses of pathogenetic mechanisms. Building upon a strong foundation in digital pathology, the department is at the forefront of advancing spatial omics capabilities, integrating cutting-edge, tissue-based technologies with computational methods to enable high-resolution spatial profiling of biological systems. By collaborating with therapeutic areas and research scientists, the department supports the discovery, characterization, and development of treatments for a wide range of diseases.</p><p></p><p>
DPIA-SO (Digital Pathology Image Analysis- Spatial Omics) is a specialized team within Research Pathology focused on collaborative spatial omics computational analysis. The team&rsquo;s mission is to provide scientists with actionable insights from high-dimensional imaging data by developing and employing transparent, reproducible, and scalable spatial analysis methods and pipelines. We are seeking a highly skilled and motivated Spatial Omics Computational Scientist to join our team.</p><p></p><p>
Key Responsibilities</p><ul><li><p>
Lead end-to-end analyses of single-cell spatial transcriptomics and proteomics datasets.</p></li><li><p>
Develop and apply advanced machine learning for spatial omics data analysis.</p></li><li><p>
Implement multi-modal data integration workflows for comprehensive biological insights.</p></li><li><p>
Analyze diverse spatial omics datasets from cutting-edge platforms (e.g., 10X Genomics Xenium/Visium HD, Lunaphore COMET).</p></li><li><p>
Collaborate with pathologists and researchers to interpret data and design experiments.</p></li><li><p>
Contribute to the advancement of spatial omics capabilities within Research Pathology.</p></li></ul><div></div><div><b>
WHO YOU ARE</b></div><ul><li><p>
Advanced degree (M.S. with 5+ years relevant experience or Ph.D.) in Computational Biology, Bioinformatics, Biomedical Engineering, Data Science, Imaging Science or a related field.</p></li><li><p>
Demonstrated tissue-based image processing experience.</p></li><li><p>
Proficiency in Python programming.</p></li><li><p>
Experience with machine learning techniques and tools (e.g., TensorFlow, PyTorch and scikit-learn).</p></li><li><p>
Experience in statistical analysis, structured data analysis (e.g. high dimensional data reduction, validation and statistics) and data visualization.</p></li><li><p>
Excellent problem-solving, communication, and collaborative skills as well as communication skills to present findings and prepare reports.</p></li></ul><div></div><div><b>
PREFERREDS</b></div><ul><li><p>
Expertise in single-cell spatial transcriptomics and/or spatial proteomics analysis.</p></li><li><p>
Hands-on experience with spatial omics platforms (e.g., 10X Genomics Xenium, Visium, Lunaphore COMET).</p></li><li><p>
Experience with multi-modal data integration combining various omics datasets.</p></li><li><p>
Basic knowledge of tissue histology and cell biology.</p></li><li><p>
Knowledge of computational and/or digital pathology workflows.</p></li><li><p>
Familiarity with tools like the scverse ecosystem (Scanpy, Squidpy, SpatialData) and image processing libraries (OpenCV, scikit-image).</p></li><li><p>
Understanding of infrastructure for managing large-scale imaging and single-cell data, including AWS cloud-based storage and distributed computing.</p></li><li><p>
Familiarity with tissue imaging techniques such as multiplexed immunofluorescence, in situ hybridization, or related methods.</p></li><li><p>
Background in experimental design for spatial omics or multi-modal studies.</p></li></ul><p></p><p>
Relocation benefits are available for this posting.</p><p></p><p>
The expected salary range for this position based on the primary location of South San Francisco, CA is $109,500 - $203,300. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.</p><p>
Benefits</p><p>
#LI-KC2</p><p>
#tech4lifeComputationalScience</p><p></p><p>
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.</p><p></p><p>
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.</p></div><p></p>
<div><div>JOB FACTS
</div><div><div><ul><div><b>Job Sub Category</b><b>
</b><p>Research Informatics
</p></div><div><b>Schedule</b><b>
</b><p>Full time
</p></div><div><b>Job Type</b><b>
</b><p>Regular
</p></div><div><b>Posted Date</b><b>
</b><p>Oct 24th 2025
</p></div><div><b>Job ID</b><b>
</b><p>202510-126866</p></div></ul></div></div></div></div><p></p>

Computational Scientist, Spatial Omics

Uber

<div><b>About the Role</b>
<br>
<br>
The Courier Pricing team sits within Uber's Delivery Marketplace org and plays a key role in shaping pricing across food, grocery, and other delivery verticals. We work closely with cross-functional teams to develop scalable pricing products that keep our marketplace efficient, reliable, and ready to grow. As a Sr Staff Machine Learning Engineer, you'll build a world-class pricing system that efficiently prices every offer made to Uber's delivery partners-impacting hundreds of millions of consumers and millions of merchants worldwide.
<br>
<br>
<b>What You Will Do</b>
<br>
<br>
<b>Technical Leadership &amp; Innovation</b><b>
</b><br>
<ul><li>Lead the design and implementation of advanced ML systems for courier pricing algorithms serving millions of couriers
</li>Own end-to-end ML model lifecycle from research through production deployment and continuous optimization<br>
<li>
</li></ul><br>
<br>
<b>Platform &amp; Architecture</b><b>
</b><br>
<ul><li>Build scalable ML architecture and feature management systems supporting Courier Pricing and broader Marketplace teams
</li><li>Design experimentation frameworks enabling rapid testing of pricing algorithms using A/B, Switchback, Synthetic Control, and other experimental methodologies
</li><li>Establish ML engineering best practices, monitoring, and operational excellence across the organization
</li>Create platform abstractions that enable other ML engineers to iterate faster on pricing algorithms<br>
<li>
</li></ul><br>
<br>
<b>Cross-Functional Impact</b><b>
</b><br>
<ul><li>Collaborate with Marketplace Engineering and Science teams to productionize cutting-edge ML research
</li><li>Work with Platform Engineering teams to ensure ML systems meet reliability and performance standards
</li>Influence technical roadmaps across multiple teams through technical leadership and strategic thinking<br>
<li>
</li></ul><br>
<br>
<b>Team Development</b><b>
</b><br>
<ul><li>Mentor and grow senior ML engineers, establishing technical standards and engineering culture
</li><li>Lead technical discussions and architecture reviews for complex ML systems
</li></ul>- Basic Qualifications -
<br>
<ul><li>PhD in Computer Science, Machine Learning, Operations Research, or related quantitative field OR Master's degree with 12+ years of industry experience
</li><li>10+ years of experience building and deploying ML models in large-scale production environments
</li><li>Expert-level proficiency in modern ML frameworks (TensorFlow, PyTorch) and distributed computing platforms (Spark)
</li><li>Deep expertise across multiple areas including: Deep Learning, Causal Inference, Reinforcement Learning, Multi-objective Optimization, and Algorithmic Game Theory
</li><li>Proven track record of leading complex ML projects from research through production with significant measurable business impact
</li><li>Strong programming skills in Python, Java, or Go with experience building production ML systems
</li><li>Experience with feature engineering, model serving, and ML infrastructure at scale (handling millions of predictions per second)
</li><li>Technical leadership experience including mentoring senior engineers and driving cross-team technical initiatives
</li></ul>- Preferred Qualifications -
<br>
<ul><li>Marketplace or two-sided platform ML experience with understanding of supply-demand dynamics and pricing mechanisms
</li><li>Publications or patents in applied machine learning, particularly in areas relevant to optimization, pricing, or marketplace dynamics
</li><li>Experience with causal inference methodologies and their application to business problems with network effects
</li><li>Reinforcement learning experience in production environments with long-term optimization and strategic agent considerations
</li><li>Technical leadership experience including mentoring senior engineers and driving cross-team technical initiatives
</li><li>Experience with real-time ML systems requiring low-latency inference and high-throughput model serving
</li>Background in economics, operations research, or related quantitative disciplines with application to marketplace problems<br>
<li>
</li></ul><br>
<br>
For San Francisco, CA-based roles: The base salary range for this role is USD$257,000 per year - USD$285,500 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$257,000 per year - USD$285,500 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.</div>

Sr Staff Machine Learning Engineer - Delivery Courier Pricing

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Applied Science Manager with a strong deep learning background, to lead the development of industry-leading technology with generative AI (GenAI) and multi-modal systems.<br>
<br>
Key job responsibilities<br>
As an Applied Science Manager with the AGI team, you will lead the development of novel algorithms and modeling techniques to advance the state of the art with multimodal systems. Your work will directly impact our customers in the form of products and services that make use of vision and language technology. You will leverage Amazon&rsquo;s heterogeneous data sources and large-scale computing resources to accelerate development with multi-modal Large Language Models (LLMs) and GenAI in Computer Vision.<br>
<br>
About the team<br>
The AGI team has a mission to push the envelope with multimodal LLMs and GenAI in Computer Vision, in order to provide the best-possible experience for our customers.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>5+ years of scientists or machine learning engineers management experience</li><li>Experience building machine learning models or developing algorithms for business application</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with deep learning libraries such as PyTorch, TensorFlow, MxNet Research publications in computer vision, deep learning or machine learning at peer-reviewed workshops, conferences or journals</li><li>PhD, or Master's degree and 5+ years of applied research experience</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>PhD in Computer Vision, Computer Science, Electrical Engineering, Mathematics or related field</li><li>Experience leading, mentoring and growing teams of scientists (teams of five or more scientists)</li><li>Experience in patents or publications at top-tier peer-reviewed conferences or journals</li><li>Experience with popular deep learning frameworks, including PyTorch</li><li>Experience with learning multi-modal LLMs and GenAI in Computer Vision, both in the image and video domains</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $165,500/year in our lowest geographic market up to $286,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Applied Science Manager, Artificial General Intelligence

Skild AI

<div>
 <strong>
  Company Overview
  <br/>
  <br/>
 </strong>
 At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.
 <br/>
 <br/>
 <strong>
  Position Overview
  <br/>
  <br/>
 </strong>
 We're looking for a Technical Animator to help bring our robotic simulations to life. In this role, you'll work closely with the simulation, perception, and autonomy teams to develop high-fidelity motion systems and animations for human and robot avatars. Your work will directly support model training and evaluation, helping us generate realistic motion data to train large-scale neural networks
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Build high-quality motion capture systems
  </li>
  <li>
   Collaborate with robotics teams to synthesize realistic robot motions
  </li>
  <li>
   Collaborate with ML teams to develop state-of-the-art techniques for motion generation
  </li>
  <li>
   Design and build pipelines for processing animation data
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3+ years of industry experience in technical animation, game development, VFX, or simulation
  </li>
  <li>
   Competence in building accurate motion capture systems
  </li>
  <li>
   Strong foundation in rigging, character animation, and physics-based motion systems
  </li>
  <li>
   Familiarity with deep-learning based motion synthesis techniques
  </li>
  <li>
   Background working with humanoid or robotic characters in simulation
   <br/>
   <br/>
  </li>
 </ul>
 Base Salary Range
 <br/>
 <br/>
 $100,000&mdash;$300,000 USD
</div>


Technical Animator

MNF Global

<div><p><b>EE/CS Patent Agent - Bay Area</b></p><div><b><br>
Join a Top Intellectual Property Law Firm Group:</b></div><div></div><div><br>
A leading law firm is actively seeking a <b>Patent Agent or Technical Specialist</b> to join its <b>Intellectual Property Practice Group</b>. This is an extraordinary opportunity to work on cutting-edge technologies in <b>electrical, and software-related fields.</b> The ideal candidate will have at least 3 years of experience in patent preparation and prosecution, along with a degree in electrical engineering, computer engineering, software engineering, computer science, or physics.<br>
<br>
</div><div></div><br>
<div>Preferred experience includes patent prosecution in <b>Artificial Intelligence</b>, <b>Machine Learning</b>, <b>5G-Telecom</b>, <b>Robotics</b> and <b>Semiconductor Manufacturing and Packaging</b>.</div><div></div><div><br>
This opportunity is presented by <b>MNF Global legal search firm</b>, a trusted legal search firm operating for over <b>17 years</b> nationally. www.mnfglobal.com</div><div></div><div><b><br>
Ideal Candidate Requirements:</b></div><p></p><ul><li><p><br>
Degree in <b>Electrical Engineering, Computer Engineering, Computer Science, Physics, or related fields</b>.</p></li><li><p><b><br>
3+ years</b> of experience in drafting and prosecuting <b>U.S. and international patent applications</b> in mechanical, electrical, and software-related technologies.</p></li><li><p><br>
Eligibility to practice before the <b>USPTO</b>.</p></li><li><p><br>
Strong academic credentials, writing ability, interpersonal, and communication skills.</p></li></ul><p></p><div><b><br>
Role and Responsibilities:</b></div><p></p><ul><li><p><br>
Collaborate with <b>top innovators</b> in drafting and prosecuting patent applications.</p></li><li><p><br>
Contribute to <b>patent litigation and client counseling</b>.</p></li><li><p><br>
Apply <b>technical expertise</b> and legal writing skills in a dynamic legal environment.</p></li></ul><div></div><div><b><br>
Professional Growth and Development:</b></div><div></div><ul><li><p><br>
Significant <b>career advancement</b> opportunities.</p></li><li><p><br>
A firm culture that fosters <b>continuous learning and innovation</b>.</p></li></ul><p></p><p><b><br>
Anticipated Compensation and Benefits:</b></p><div></div><ul><li><p><br>
Competitive base salary ranging from <b>$110,000 to $190,000</b>, commensurate with qualifications, skills, location, and relevant experience.</p></li><li><p><br>
Comprehensive <b>benefits package</b>, including <b>health, dental, and vision insurance</b>, plus various wellness initiatives.</p></li><li><p><b><br>
Retirement planning options</b>.</p></li><li><p><b><br>
Bonus potential and commission opportunities</b>.</p></li><li><p><br>
Generous workplace policies.</p></li></ul><div></div><div><b><br>
Job Order 713SF</b></div><p></p><ul><li><p><br>
Seize this chance to <b>elevate your career</b> in a firm that invests in <b>technology, professional development, and employee well-being</b>.</p><div></div><div><b><br>
Apply Now For This Opportunity!</b></div></li></ul><p></p><h3 class="jobSectionHeader"><b><br>
Requirements</b></h3><ul><li><p>
Degree in <b>Electrical Engineering, Computer Engineering, Computer Science, Physics, or related fields</b>.</p></li><li><p><b><br>
3+ years</b> of experience in drafting and prosecuting <b>U.S. and international patent applications</b> in mechanical, electrical, and software-related technologies.</p></li><li><p><br>
Eligibility to practice before the <b>USPTO</b>.</p></li><li><p><br>
Strong academic credentials, writing ability, interpersonal, and communication skills.</p></li></ul><div></div><h3 class="jobSectionHeader"><b><br>
Benefits</b></h3><p><b>
Anticipated Compensation and Benefits:</b></p><p></p><ul><li><p><br>
Competitive base salary ranging from <b>$130,000 to $190,000</b>, commensurate with qualifications, skills, location, and relevant experience.</p></li><li><p><br>
Comprehensive <b>benefits package</b>, including <b>health, dental, and vision insurance</b>, plus various wellness initiatives.</p></li><li><p><b><br>
Retirement planning options</b>.</p></li><li><p><b><br>
Bonus potential and commission opportunities</b>.</p></li><li><p><br>
Generous workplace policies.</p></li></ul></div><div></div>

EE/CS Patent Agent

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