<h3>Job Description</h3><div>Job Description<div><ul><li>Develop Learning based planning algorithms for trajectories (deep learning, reinforcement learning, decision trees, etc) to ensuring that the vehicle behavior is natural, safe and smooth</li><li>Design policies and plans to manage multi-actor interactions and plans under uncertainty</li><li>Work with other internal autonomy teams to help to continuously improve and refine the self-driving system</li></ul>Requirements<ul><li>Master or Ph.D. degree in Computer Science, Electric Engineering or a related field</li><li>Experience solving problems using Machine Learning with Tensorflow or equivalent tools</li><li>Professional C++ experience designing any-angle robotic navigation algorithms such as Dijkstra, A*, D*, RRT, RRT* and RRG</li><li>Experience in at least one of: robotics research in motion planning, trajectory optimization, planning under uncertainty, probabilistic robotics, data analysis at scale, machine learning at scale</li><li>Publications in top conferences/journals in a related field or equivalent experiences is a plus</li></ul></div></div>

Consider before submitting an application: This position is expected to start around January or February 2025 and continue through the entire Spring term (i.e. through May 2025) or into Spring/Summer 2025 if available. We ask for a minimum of 12 weeks, full-time and on-site, for most internships. International Students: If your work authorization is through CPT, please consult your school on your ability to work 40 hours per week before applying. You must be able to work 40 hours per week on-site. Many students will be limited to part-time during the academic year. Internship Program at Tesla The Internship Recruiting Team is driven by the passion to recognize and develop emerging talent. Our year-round program places the best students in positions where they will grow technically, professionally, and personally through their experience working closely with their Manager, Mentor, and team. We are dedicated to providing an experience that allows the intern to experience life at Tesla by including them in projects that are critical to their team's success. About the Team The NVH team is looking for a Machine Learning Engineer to join the team. In this role, you will be involved in developing and implementing audio algorithms that will enable advanced diagnostics for Tesla products. You will also collaborate with our manufacturing and audit teams to seamlessly integrate your algorithms into our production processes. Responsibilities <ul> <li>Develop and implement audio algorithms that will enable advanced diagnostics for Tesla products. </li> <li>Design and develop automated data generation pipelines that create various high quality ground truth data for real-world perception problems. </li><li>Deploy and scale your work across millions of Tesla vehicles worldwide </li> <li>Collaborate with our manufacturing and audit teams to seamlessly integrate your algorithms into our production processes. </li></ul>Requirements<ul> <li>Currently pursuing a degree in Data Science, Computer Science, Computer Engineering, or related degree </li><li>Strong experience with Python, C++, and software engineering best practices </li><li>An "under the hood" knowledge of deep learning: layer details, loss functions, optimization, etc. </li><li>Fluency with common neural network architectures for audio event detection and classification </li><li>Experience with PyTorch, or another major deep learning framework such as TensorFlow </li><li>Experience with data manipulation tools including jupyter notebooks, numpy, scipy, matplotlib, scikit-learn, Python & Bash scripting, Linux environment </li><li>Record of driving research projects from start to end, including conception, experimentation, iteration, and integration into a working product </li></ul>Compensation and Benefits Benefits As a full-time Tesla Intern, you will be eligible for:<ul><li> Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction</li> <li> Family-building, fertility, adoption and surrogacy benefits</li> <li> Dental (including orthodontic coverage) and vision plans. Both have an option with a $0 payroll contribution</li> <li> Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Medical Plan with HSA</li> <li> Healthcare and Dependent Care Flexible Spending Accounts (FSA)</li> <li> LGBTQ+ care concierge services</li> <li> 401(k), Employee Stock Purchase Plans, and other financial benefits</li> <li> Company Paid Basic Life, AD&D, and short-term disability insurance</li> <li> Employee Assistance Program</li> <li> Sick time after 90 days of employment and Paid Holidays</li> <li> Back-up childcare and parenting support resources</li> <li> Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance</li> <li> Commuter benefits</li> <li> Employee discounts and perks program</li> <ul>Expected Compensation $20.00 - $50.00 + benefits Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.</ul></ul>

<h3>Job Description</h3><div>Job Description<div>Position Type: Full Time Location: Remote  Salary Range / Rate (Currency): $130,000 - $180,000 per year Job ID#: #148181 Company Overview Backed by top-tier investors, including a16z, and are building the monetization layer for the next generation of Generative AI traffic. Our mission is to create a real-time information layer for the GenAI age, where AI-native content takes center stage and drives consumer engagement. If you're passionate about cutting-edge technologies and building scalable systems, this is the perfect opportunity for you. Role Overview As a Senior Machine Learning Engineer, you will play a crucial role in designing and building scalable machine learning systems that power our AI-native ad platform. You will collaborate closely with the engineering team to develop and optimize ML models and pipelines, integrating them into a low-latency, high-throughput backend system.Responsibilities<ul><li>Develop, train, and deploy machine learning models that drive ad recommendations and bidding systems within our AI-native advertising platform.</li><li>Build and optimize NLP pipelines to interpret user intent, enabling real-time product recommendations and personalized ads.</li><li>Design and scale the machine learning infrastructure to support large-scale, AI-driven ad systems, ensuring low latency and high reliability.</li><li>Explore and implement new ML algorithms and techniques to continuously improve system performance and scalability.</li><li>Collaborate closely with cross-functional teams, including backend engineers and product managers, to align business objectives with technical solutions.</li><li>Utilize cloud platforms (GCP, AWS) and distributed computing technologies to manage and scale machine learning models.</li></ul>Requirements<ul><li>Proven experience in machine learning, with expertise in deep learning architectures and frameworks like PyTorch or TensorFlow.</li><li>Strong proficiency in NLP (Natural Language Processing) and large language models (LLMs), including experience building and optimizing embedding models.</li><li>Hands-on experience with Python and related ML libraries.</li><li>Knowledge of backend systems, including API development, database optimization, and high-concurrency environment management.</li><li>Experience in ads systems, including familiarity with bidding, auction algorithms, and optimizing ad performance metrics.</li><li>Experience with cloud platforms (GCP, AWS) and distributed computing technologies is a plus.</li><li>Strong problem-solving skills, ability to iterate quickly, and eagerness to experiment with innovative solutions.</li><li>Self-starter mindset with the ability to work independently in a remote, fast-paced startup environment.</li><li>Mandarin or experience working with international teams is a plus but not required.</li></ul> About Us: Founded in 2009, IntelliPro is a global leader in talent acquisition and HR solutions. Our commitment to delivering unparalleled service to clients, fostering employee growth, and building enduring partnerships sets us apart. With a dynamic presence in the USA, China, Canada, Singapore, Philippines, UK, India, Netherlands, and Germany, we continue leading global talent solutions. IntelliPro, a global leader connecting individuals with rewarding employment opportunities, is dedicated to understanding your career aspirations. As an Equal Opportunity Employer, IntelliPro values diversity and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or any other legally protected group status. Moreover, our Inclusivity Commitment emphasizes embracing candidates of all abilities and ensures that our hiring and interview processes accommodate the needs of all applicants. Learn more about our commitment to diversity and inclusivity at https://intelliprogroup.com/.Powered by JazzHRrYv3cYBJmY</div></div>

About our group: Our organization specializes in Global Data Analytics and provides comprehensive solutions for Big data, Generative-AI, and MLOps frameworks and deployments. We are a proactive, solution-focused, and collaborative team that partners with various business groups across the organization to deliver end to end solutions About the role - you will: <ul> <li>Develop, fine-tune, and deploy large language models for various applications</li> <li>Manipulate and build models (traditional ML and generative AI) to extract insights from large data sets</li> <li>Design and implement prompt engineering strategies to optimize model performance</li> <li>Utilize Retrieval-Augmented Generation (RAG) and related techniques to enhance model output.</li> <li>Integrate generative AI innovations into Sales, marketing , Supply chain and other business products to improve performance and engagement.</li> <li>Collaborate with cross-functional teams to identify and address AI-related challenges.</li> <li>Stay updated with the latest trends and advancements in Generative AI and machine learning.</li> <li>Adapt generative AI models for diverse machine learning tasks and application</li></ul> The ideal candidate will have extensive experience with traditional machine learning techniques, as well as recent work experience with Large Language Models, prompt engineering, fine-tuning, Retrieval-Augmented Generation (RAG), and related technologies. The successful candidate will also be skilled at adapting Generative AI models for various data science problems. About you: <ul> <li>Passionate professional who is up to the challenge of blending the fast-changing technology landscape of Generative AI with the complex and high-impact space of HiTech and Manufacturing analytics.</li> <li>Strong appetite for constant learning, thinking out of the box, questioning the problems & solutions with the intent to understand and solve better.</li> <li>Uncompromisingly detail oriented, well organized with solid time management skills, and you have solid, effective verbal and written communications abilities. </li> <li>Ability to motivate people and instill ownership, reliability, teamwork, and commitment in the team.</li> <li>Excellent interpersonal skills to develop relationships with different teams and peers in the organization.</li></ul> Your experience includes: <ul> <li>Proven experience with Large Language Models (e.g. OpenAi, Lama, Gemini) and prompt engineering</li> <li>Proficiency in Python, SQL, and ML frameworks like PyTorch and TensorFlow</li> <li>Ability to quickly generate working code with a Generative AI coding copilot</li> <li>Expertise in fine-tuning and deploying AI models in production environments</li> <li>Strong knowledge of Retrieval-Augmented Generation (RAG) and related techniques</li> <li>Masters Degree in Computer Science or Business Analytics</li></ul> You might also have: <ul> <li>Experience with cloud platforms (e.g. Azure, AWS, Google Cloud) for model deployment</li> <li>Experience with DevOps tools like Git and Docker</li></ul> Location: Our Gold LEED-certified Fremont product-design campus drives innovation, bringing together a diverse set of engineering, design, operations, support, and administrative teams. The site is equipped with a state-of-the-art clean room and lab space. On-site social activities are popular, including our annual BBQ, ice cream social, and holiday events. Wellness programs, gaming rooms, and the on-site fitness center help round out and balance your Seagate work-life experience, along with opportunities to give back to our local community. The estimated base salary range for this position is $98,400.00 - $116,000. The individual salary is based on work location and additional factors, including job-related skills, experience, and relevant education or training. Seagate offers comprehensive benefits to its eligible employees, including, but not limited to, eligibility for variable pay bonus, medical, dental, vision, and life insurance, short-and long-term disability, 401(k), employee stock purchase plan, health savings account, dependent care, and healthcare spending accounts. Seagate also offers paid time off, including 12 holidays, flexible time off provided pursuant to Seagate policy, a minimum of 48 hours of paid sick leave, and 16 weeks of paid parental leave. The benefits for this position are based on a full-time schedule for a full calendar year and may differ depending on work location. Location: Fremont, USA, Research Center Travel: None Innovation thrives in a culture that embraces different voices, where employees are equal contributors and are empowered to express themselves authentically. Building this culture takes constant work and willingness to be transparent about progress. Read more in our Diversity, Equity, and Inclusion, Annual Report. - Learn more about our commitment to the U.S. military and veteran community by watching this video. - 4th year in a row as a Best Employer for LGBTQ+ Equality - 4th year in a row as a Best Company for Women in Technology About Us With more than four decades of storage innovation, Seagate empowers humanity to thrive in the data age and helps people and businesses navigate the ever-expanding data landscape. We craft precision-engineered, cutting-edge solutions that help the world store and manage exponential data growth. Seagate is powered by our talented, passionate, and diverse workforce of 29,000 employees across the globe who embody our core values: integrity, innovation, and inclusion. Striving towards excellence every single day, we show up with these values for our customers, business partners, shareholders, and communities alike. Join us and get inspired to make a difference in the datasphere! Seagate is proud to be an equal opportunity employer. Seagate provides an environment where equal opportunity is available to all. All qualified applicants will receive consideration for employment without regard to age, race, color, ancestry, ethnic or national origin, physical or mental disability, medical condition, genetic information, marital status, sex (which includes pregnancy or perceived pregnancy, childbirth, breastfeeding, or related medical conditions), gender, gender identity, gender expression, sexual orientation, perceived or actual religious creed or political opinion, military and veteran status, taking or requesting statutorily protected leave, taking or requesting a reasonable accommodation for a protected basis, or other basis protected by applicable law. We will consider for employment qualified applicants with arrest and conviction records. EEO Know Your Rights Poster & OFCCP Pay Transparency Provision Information. Seagate will provide reasonable accommodations with the application process upon request as required to comply with applicable laws. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@seagate.com. All Seagate jobs will remain open for a minimum of seven days. For information on how Seagate collects and uses your personal information during the application process, please review the Applicant Privacy Statement.

Machine Learning Engineer Jobs in Fremont, CA

Machine Learning Engineer Planning Prediction And Control
November 13, 2024

Internship Machine Learning Engineer Nvh
October 29, 2024

Senior Machine Learning Engineer
October 29, 2024

Generative Aimachine Learning Engineer
October 26, 2024

Generative Aimachine Learning Engineer
October 23, 2024

Internship Machine Learning Engineer Nvh
October 23, 2024

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Machine Learning Engineer Jobs in Fremont, CA

Machine Learning Engineer Planning Prediction And ControlNovember 13, 2024

Internship Machine Learning Engineer NvhOctober 29, 2024

Senior Machine Learning EngineerOctober 29, 2024

Generative Aimachine Learning EngineerOctober 26, 2024

Generative Aimachine Learning EngineerOctober 23, 2024

Internship Machine Learning Engineer NvhOctober 23, 2024