ml engineer intern

Skyworks Solutions

<div><p>If you are looking for a challenging and exciting career in the world of technology, then look no further. Skyworks is an innovator of high-performance analog semiconductors whose solutions are powering the wireless networking revolution. Through our broad technology expertise and one of the most extensive product portfolios in the industry, we are Connecting Everyone and Everything, All the Time.</p><p></p><p><br>
At Skyworks, you will find a fast-paced environment with a strong focus on global collaboration, minimal layers of management, and the freedom to make meaningful contributions in a setting that encourages creative thinking. We are excited about the opportunity to work with you and glad you want to be part of a team of talented individuals who together are changing the way the world communicates.</p><p>
Requisition ID: 76560</p><div><div><div><h2 class="jobSectionHeader"><b>
Description</b></h2></div><div><div>
As an AI/ML Co-op, you will support engineering efforts for AI and machine learning initiatives spanning multiple business units. You&rsquo;ll lead small projects under the supervision of the enterprise AI/ML engineering team, collaborating with stakeholders from various departments.</div><div>
</div><div>
Term: Summer/Fall (June &lsquo;26 - Dec&rsquo; 26)</div></div></div><div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2></div><div><div>
Your responsibilities will include:</div><ul><li>
Gathering and analyzing engineering and business data to identify opportunities for AI/ML solutions.</li><li>
Developing code for core use case functionality with guidance and gradually work independently</li><li>
Designing and implementing new procedures and workflows for AI/ML projects.</li><li>
Identifying bottlenecks and working with cross-functional teams to develop and deploy solutions.</li><li>
Assisting with documentation, reporting, and other project deliverables.</li></ul><div>
This opportunity will allow you to sharpen your AI/ML, technical, and problem-solving skills in a dynamic business environment.</div></div></div><div><div><h2 class="jobSectionHeader"><b>
Required Experience and Skills</b></h2></div><div><ul><li>
Current Junior/Senior undergraduate studying Computer Science, Data Science, Electrical, Mechanical, or Industrial Engineering</li><li>
Must be able to temporarily relocate to work on-site, full-time hours from Jan to June 2026</li><li>
Experience using programming languages (Python), and AI/ML frameworks like Pytorch, and an understanding of AI algorithms.</li><li>
Proficiency using VScode or other programming IDEs, ramp up learning curve on using code assists to complete tasks. Be able to quickly learn company-specific software (Agentic AI, LangChain, LangGraph, Genie, Databricks).</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Desired Experience and Skills</b></h2></div><div><ul><li>
Programming in Python for over 2 + years, understanding of AI/ML algorithms, be able to solve problems quickly</li><li>
Self-starter with a strong work ethic, eager to tackle challenges and take ownership.</li><li>
Willingness to work in a hands-on, collaborative environment.</li><li>
Strong time management, communication, organization, and documentation skills.</li></ul><div>
</div><div><b>
Please note: If you have already graduated and are not currently enrolled in school, you are not eligible for this Co-op position.</b></div><div>
</div><div>
#LI-DNI</div></div></div></div><p>
The typical pay range for an Engineering intern across the U.S. is currently USD $26.00 - $47.50 per hour and for a Non-Engineering intern across the U.S. is currently USD $22.50 - $42.00 per hour. Starting pay will depend on level of education, the ultimate job duties and requirements, and work location. Skyworks has different pay ranges for different work locations in the U.S.</p><p></p><p><br>
Skyworks is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Skyworks strives to create an accessible workplace; if you need an accommodation due to a disability, please contact us at accommodations@skyworksinc.com.</p></div>

AI & Machine Learning Summer/Fall Co-Op (June '26 - Dec '26)

Teradata

<div>
 <strong>
  Our Company
  <br/>
  <br/>
 </strong>
 At Teradata, we believe that people thrive when empowered with better information.  That&rsquo;s why we built the most complete cloud analytics and data platform for AI.  By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers&mdash;and our customers&rsquo; customers&mdash;to make better, more confident decisions.  The world&rsquo;s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.
 <br/>
 <br/>
 <strong>
  Our Internship Program
  <br/>
  <br/>
 </strong>
 Our Internship Program Our summer internship program lasts 10-12 weeks beginning in May/June and ending in August/September.  We offer a fast-paced, flexible, fun environment where you will have the opportunity to work on meaningful projects and face new challenges every day.
 <br/>
 <br/>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 You will work on Projects Including:
 <br/>
 <br/>
 As an Agentic AI Engineer intern at Teradata, you&rsquo;ll build cutting-edge intelligent agents that transform how users explore data, derive insights, and automate workflows across industries such as healthcare, finance, and telecommunications.
 <br/>
 <br/>
 You will:
 <br/>
 <br/>
 <ul>
  <li>
   Design and write high-performing and scalable software for training models.
  </li>
  <li>
   Craft and implement techniques to improve the performance and results of our training cycles, both on the SFT and the RL.
  </li>
  <li>
   Supporting agent management, evaluating open-source frameworks, and implementing logical data models and memory support.
  </li>
  <li>
   Contributing to low-code/no-code agent construction and the integration of external data sources for complex use cases.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Who You'll Work With
  <br/>
  <br/>
 </strong>
 Join Forces with the Best.  Collaborate with a talented team of AI architects, ML engineers, and domain experts in Silicon Valley, all working together to advance the future of enterprise AI.  Work closely with infrastructure teams to scale AI workloads globally.  This is a rare opportunity to shape cutting-edge AI capabilities within a dynamic, data-driven company, where innovation thrives, and your ideas help define the next generation of data interaction.
 <br/>
 <br/>
 <strong>
  What Makes You a Qualified Candidate
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Pursuing a Bachelor&rsquo;s, Master&rsquo;s, or PhD degree in Computer Science, Electrical Engineering, or a related field.
  </li>
  <li>
   Expert in ML and fine-tuning large language models.
  </li>
  <li>
   Proficiency in Python and related ML frameworks such as JAX, Pytorch, and XLA/MLIR.
  </li>
  <li>
   Familiar with state-of-the-art techniques for preparing AI training data.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You Will Bring
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with post-training the models to reach SOTA-level performance.
  </li>
  <li>
   Familiar with designing and implementing large-scale model training frameworks.
  </li>
  <li>
   Collaborating with pre-training, reasoning, data, multimodal, applied, and product efforts to push the frontiers of model capability.
   <br/>
   <br/>
  </li>
 </ul>
 Pay Rate: $29. 00 - $44. 00 - $50. 00 Hourly
 <br/>
 <br/>
 <strong>
  Why We Think You'll Love Teradata
  <br/>
  <br/>
 </strong>
 We prioritize a people-first culture because we know our people are at the very heart of our success.  We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work.  We focus on well-being because we care about our people and their ability to thrive both personally and professionally.  We are committed to actively working to foster an inclusive environment that celebrates people for all of who they are.
 <br/>
 <br/>
 <br/>
 <br/>
 <strong>
  Why We Think You&rsquo;ll Love Teradata
  <br/>
  <br/>
 </strong>
 We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are.
 <br/>
 <br/>
 Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. &ZeroWidthSpace; We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status.
</div>


AI Engineer Intern

TikTok

Algorithm
<br><br>
(General Hire) Machine Learning Engineer Intern (TikTok-Recommendation) - 2026 Fall (BS/MS)
<br><br>
Location
<br>:
<br><br>
San Jose
<br><br>
Employment Type
<br>:
<br><br>
Intern
<br><br>
Job Code
<br>:
<br><br>
A216692A
<br><br>
Responsibilities
<br><br>
About the Team
<br>Recommendation algorithm team plays a central role in the company, driving critical product decisions and platform growth. The team is made up of machine learning researchers and engineers, who support and innovate on production recommendation models and drive product impact. The team is fast-pacing, collaborative and impact-driven.
<br><br>
We are looking for talented individuals to join us for an internship in 2026. Internships at our Company aim to offer students industry exposure and hands-on experience. Watch your ambitions become reality as your inspiration brings infinite opportunities at our Company.
<br><br>
Internships at Our Company aims to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth.
<br><br>
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to Our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early. Please state your availability clearly in your resume (Start date, End date).
<br><br>
<b>Fall Start Dates:</b><br>
August 10th, 2026
<br>August 24th, 2026
<br>September 8th, 2026
<br>September 21st, 2026
<br><br>
<ul>
<li>This opening is part of the general hiring process for the TikTok Recommendation organization. Applications will be evaluated by multiple teams within the Recommendation organization to ensure the best alignment based on skills and interests.</li>
</ul>
<b>In this role, you'll have the opportunity to:</b><br>
<ul>
<li>Drive the development of industry-leading recommendation systems that elevate user experience, strengthen platform safety, and empower a vibrant content ecosystem.</li>
<li>Deliver impactful, end-to-end machine learning solutions that tackle high-priority product challenges related to content understanding, LLMs, robustness, and fairness.</li>
<li>Own and optimize the full-stack ML pipeline—from algorithm design to system infrastructure—to continuously push the boundaries of recommendation performance.</li>
<li>Collaborate with cross-functional teams to craft innovative product strategies and develop intelligent solutions that fuel TikTok’s growth in key global markets.</li>
</ul>
Qualifications
<br><br>
<b>Minimum Qualifications:</b><br>
<ul>
<li>Currently pursuing a Master degree with a background in computer science, machine learning, or similar fields;</li>
<li>Good knowledge of theoretical and empirical research in addressing research problems;</li>
<li>Solid knowledge and experience with at least one popular deep learning framework (e.g., PyTorch,TensorFlow) and familiarity with deep neural network architectures.</li>
<li>Able to commit to working for 12 weeks during Summer 2026</li>
</ul>
<b>Preferred Qualifications:</b><br>
<ul>
<li>Research experience in one or more of the following fields: applied machine learning, machine learning infrastructure, large-scale recommendation system, market-facing machine learning product;</li>
<li>Strong first-author publications record in accredited AI conferences or journals(e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL etc.);</li>
<li>Proficient in C/C++, Python, and shell programming languages, and have a deep understanding of data structure and algorithm design;</li>
<li>Internship experience in an AI research organization.</li>
</ul>
For TikTok
<br>By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy
<br><br>
Job Information
<br><br>
【For Pay Transparency】Compensation Description (Hourly) - Campus Intern
<br><br>
The hourly rate range for this position in the selected city is $45- $45.
<br><br>
​
<br><br>
Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance.
<br><br>
​
<br><br>
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
<br><br>
​
<br><br>
<b>For Los Angeles County (unincorporated) Candidates:</b><br>
​
<br><br>
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
<br><br>
​
<br><br>
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
<br><br>
​
<br><br>
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
<br><br>
​
<br><br>
3. Exercising sound judgment.
<br><br>
​
<br><br>
About TikTok
<br><br>
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
<br><br>
​
<br><br>
Why Join Us
<br><br>
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
<br><br>
​
<br><br>
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
<br><br>
​
<br><br>
​
<br><br>
Diversity & Inclusion
<br><br>
​
<br><br>
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
<br><br>
​
<br><br>
TikTok Accommodation
<br><br>
TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at
<br><br>
https://tinyurl.com/RA-request

(General Hire) Machine Learning Engineer Intern (TikTok-Recommendation) - 2026 Fall (BS/MS)

Rocket Lawyer

<div><div><div><b>About Rocket Lawyer</b></div>
<div></div>
<div>We believe everyone deserves access to affordable and simple legal services. Founded in 2008, Rocket Lawyer is the largest and most widely used online legal service platform in the world. With offices in North America, South America, and Europe, Rocket Lawyer has helped over 30 million people create over 50 million legal documents, and get their legal questions answered.</div>
<div></div>
<div>We are in a unique position to enhance and expand the Rocket Lawyer platform to a scale never seen before in the company's history, to capture audiences worldwide. We are expanding our team to take on this challenge!</div></div><p><b>
About your role</b></p>
<p>
Rocket Lawyer is looking for a motivated and passionate AI/ML Software Engineering Intern to join our team working on Rocket Copilot, our AI assistant launched in December 2023. In this internship, you will collaborate with our cross-functional teams to assist in building a cutting edge AI platform. You'll have the opportunity to learn from experienced engineers while working on real-world AI/ML projects, helping design, implement, test, and maintain new AI features.</p>
<p>
We value a collaborative and supportive work environment, where we celebrate learning and growth. This is a great opportunity for someone eager to expand their skills and contribute to innovative AI solutions.</p>
<p><b>
Responsibilities</b></p>
<ul>
<li>Assist in prompting, evaluating, fine-tuning, and maintaining large language models (LLMs) for AI features</li>
<li>Support the creation, monitoring, and troubleshooting of backend API services that interact with ML models</li>
<li>Collaborate with cross-functional teams to integrate AI into existing and new Rocket Lawyer products</li>
<li>Research and stay up-to-date with industry trends around generative AI and machine learning</li>
<li>Prototype product features to explore new AI capabilities and write clean, understandable code</li>
</ul>
<p><b>What you'll need</b></p>
<ul>
<li>Currently pursuing a BS, MS, or PhD in Computer Science, Mathematics, Statistics, or a related field.</li>
<li>Basic understanding of machine learning concepts and algorithms.</li>
<li>Familiarity with generative AI technologies and models (Deep Learning, RAG, Neural Networks, Agents).</li>
<li>Interest or experience working with large language models (LLMs) and generative AI.</li>
<li>Strong programming skills in Python</li>
</ul><h3 class="jobSectionHeader"><b>A bonus if you have</b></h3>
<ul><li>Experience with backend Python frameworks like FastAPI, Flask, Django, etc.</li>
<li>Familiarity with vector databases.</li>
<li>Additional programming skills in languages such as Java, Kotlin, or NodeJS.</li>
<li>SQL knowledge.</li>
<li>Interest in building user-facing products.</li>
<li>Understanding of microservices architectures and distributed systems.</li>
</ul>
<p><b>Interview Process</b></p>
<ul>
<li>Recruiter Phone Screen</li>
<li>Hiring Manager Interview</li>
<li>Team Interview</li>
</ul><div><div><div><div><div><div><i>Rocket Lawyer is proudly committed to recruiting and retaining a diverse and inclusive workforce. As an Equal Opportunity Employer, we never discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, military or veteran status, status as an individual with a disability, or other applicable legally protected characteristics. We particularly welcome applications from veterans and military spouses.</i></div>
<div></div>
<div><i>All your information will be kept confidential according to EEO guidelines.
</i></div><div><i>You may request reasonable accommodations by sending an email to </i><i>hr@rocketlawyer.com</i><i>.</i></div>
<div></div>
<div><b>Location:</b> Remote, but you must be located in CA, AZ, CO, NC, or UT during the internship.<br>
<b>Duration:</b> June 8, 2026 - August 14, 2026, working 40 hours per week</div>
<div></div>
<div><div><b>Compensation per hour by location:</b></div>
<ul><li>San Francisco Bay Area, CA: $50.00</li>
<li>California (outside of San Francisco Bay Area): $46.25</li>
<li>Colorado: $42.50</li>
<li>Utah, Arizona, and North Carolina: $40.00</li></ul><br>
</div>
</div></div></div></div></div><div></div><div><p>By applying for this position, your data will be processed as per Rocket Lawyer Privacy Policy.</p></div></div>

AI/ML Intern

Tinder

<div>
 <p>
  <strong>
   Our Mission
  </strong>
 </p>
 <br/>
 <p>
  &nbsp;
 </p>
 <br/>
 <p>
  <span>
   As humans, there are few things more exciting than meeting someone new. At Tinder, we&rsquo;re inspired by the challenge of keeping the magic of human connection alive. With tens of millions of users, hundreds of millions of downloads, 2+ billion swipes per day, 20+ million matches per day, and a presence in 190+ countries, our reach is expansive&amp;mdash;and rapidly growing.
  </span>
 </p>
 <br/>
 <p>
  &nbsp;
 </p>
 <br/>
 <p>
  <span>
   We work together to solve complex problems. Behind the simplicity of every match, we think deeply about human relationships, behavioral science, network economics, AI and ML, online and real-world safety, cultural nuances, loneliness, love, sex, and more.
  </span>
 </p>
 <br/>
 <p>
  &nbsp;
 </p>
 <br/>
 <p>
  <br/>
  <p>
   <strong>
    Our Values
   </strong>
  </p>
  <br/>
  <p>
   <br/>
   <p>
    <em>
     <strong>
      Take the Lead
      <br/>
     </strong>
    </em>
    We don't ghost our work or each other. Just as users don't leave their matches hanging, we don't let each other down.
   </p>
   <br/>
   <p>
    <em>
     <strong>
      Move Fast
      <br/>
     </strong>
    </em>
    We have a bias for action and urgency. Something that could be done tomorrow would be better if done today.
   </p>
   <br/>
   <p>
    <em>
     <strong>
      Better Together
      <br/>
     </strong>
    </em>
    We keep connection at the heart of dating and at the heart of how we work. Just as our users are better when they connect with others, so are we when we collaborate.
   </p>
   <br/>
   <p>
    <em>
     <strong>
      Real Talk
      <br/>
     </strong>
    </em>
    We say the hard thing the human way. Just as we ask our users to behave with kindness and candor in our community, we expect Team Tinder to do the same.
   </p>
   <br/>
   <p>
    <em>
     <strong>
      Safety First
      <br/>
     </strong>
    </em>
    We act with integrity, transparency, and consistency so people feel safe&amp;mdash;whether they're swiping, matching, or working alongside us.
   </p>
   <br/>
   <p>
    <em>
     <strong>
      Spark Fun
      <br/>
     </strong>
    </em>
    We have fun to unlock creativity, fuel innovation, and help us build better experiences for daters.
   </p>
   <br/>
  </p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Program Duration
  </strong>
 </p>
 <br/>
 <p>
  <span>
   The internship program will run from June 1 through August 28, 2026.
  </span>
 </p>
 <br/>
 <p>
  &nbsp;
 </p>
 <br/>
 <p>
  <strong>
   Where you&rsquo;ll work
  </strong>
 </p>
 <br/>
 <p>
  <span>
   This is a hybrid role that requires in-office collaboration three days per week in Palo Alto, California.
  </span>
 </p>
 <br/>
 <p>
  &nbsp;
 </p>
 <br/>
 <p>
  <strong>
   About the Role
  </strong>
 </p>
 <br/>
 <p>
  <span>
   The Tinder ML team drives impact across nearly every core domain of the product &amp;mdash; from Recommendations and Trust &amp; Safety to Profile, Chat, Growth, and Revenue. Our mission is to apply machine learning to enhance user experiences, foster trust, and accelerate business growth across Tinder&rsquo;s ecosystem. With Tinder's global scale and impact, you'll be at the forefront of solving some of the most complex challenges in technology. In this internship program, you will collaborate with senior engineers to build and deploy ML solutions that advance Tinder&rsquo;s business goals.
  </span>
 </p>
 <br/>
 <p>
  &nbsp;
 </p>
 <p>
  <p>
   <br/>
  </p>
  <strong>
   What you'll do:
  </strong>
  <br/>
  <li>
   Gain real-world experience on exciting challenges to improve the user experience
  </li>
  <br/>
  <li>
   Design and implement machine learning algorithms for the assigned domains: Recommendation, Trust, Profile, Chat, Growth, or Revenue.&nbsp;&nbsp;
  </li>
  <br/>
  <li>
   Experience the ML model formulation of production problem under the guidance
  </li>
  <br/>
  <li>
   Work closely with a Senior Engineers to develop machine learning solutions to further Tinder&rsquo;s business goals
  </li>
  <br/>
  <li>
   Participate in the annual Tindership Hackathon, presenting with your team to the entire Tinder team and panel of executives.&nbsp;
  </li>
  <br/>
  <p>
   <br/>
  </p>
  <strong>
   What we're looking for:
  </strong>
  <br/>
  <li>
   Aspiring ML Engineer who&rsquo;s excited to work on large scale challenges with cutting-edge technology
  </li>
  <br/>
  <li>
   Practical knowledge of how to build efficient end-to-end ML workflows
  </li>
  <br/>
  <li>
   Proficient in Python.&nbsp;
  </li>
  <br/>
  <li>
   Hands-on experience in designing and building ML models
  </li>
  <br/>
  <li>
   Foundational knowledge of basic Computer Science principles: data structures and algorithms.&nbsp;
  </li>
  <br/>
  <li>
   Currently pursuing a BS/BA or MS in Computer Science or a related field.&nbsp;
  </li>
  <br/>
  <p>
   <br/>
  </p>
  <strong>
   Nice to have:
  </strong>
  <br/>
  <li>
   Publications in top ML or data science conferences (e.g., NeurIPS, ICML, RecSys, KDD)
  </li>
  <br/>
  <li>
   Experience deploying ML models in production environments
  </li>
  <br/>
  <li>
   Familiarity with deep learning frameworks such as PyTorch, TensorFlow, or Keras
  </li>
  <br/>
  <li>
   Experience with Databricks, Spark, or Airflow
  </li>
  <br/>
  <li>
   Proficiency in additional programming languages like Go, Java or Scala
  </li>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <br/>
 <p>
  <span>
   Commitment to Inclusion
  </span>
 </p>
 <br/>
 <p>
  &nbsp;
 </p>
 <br/>
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  <span>
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   If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly.
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  Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of a position based in Palo Alto, California. This hourly rate will be subject to a geographic adjustment (according to a specific city, state, and country), if an authorization is granted to work outside of the location listed in this posting.
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Machine Learning Engineer Intern

ELUVIO

<div><p>If you are an outstanding upper undergrad, recent grad or grad student and are looking for an amazing last-minute Summer Internship - this is the opportunity for you! Eluvio AI is growing fast and we have a new internship position available in our Berkeley HQ!</p><p></p><p>
Eluvio is a highly focused and ambitious team of systems, networking, application, and video software engineers, AI scientists, ML engineers, and security experts working together to implement the vision of the Content Fabric - a decentralized platform for video and commerce with the ambition of serving the world's Internet video. The Eluvio Content Fabric provides an innovative distributed and decentralized video processing framework with just-in-time and personalized experiences, made possible through our state-of-the-art real-time content routing and just-in-time code execution. We are headquartered in Berkeley, CA.</p><p>
Eluvio uses a wide range of machine learning and deep learning techniques within its content fabric. This position offers an internship opportunity for students with excellent academic records pursuing graduate degrees in computer science, data science, or related fields (or advanced undergraduates) to work in our office with our software engineering team on ML, DL and data science solutions.</p><p>
Responsibilities</p><ul><li>
Work with the Eluvio AI Machine Learning and Data Science Team</li><li>
Build production level machine learning models on large-scale datasets to increase the intelligence of video/audio content</li><li>
Provide data-driven recommendations and actionable insights on problems such as content understanding/augmentation/location</li><li>
Develop multi-functional learning pipelines</li><li>
Collaborate with product and engineering teams to implement models at scale</li><li>
Help train and develop multimodal learning models using advanced learning techniques including RAG, self-supervised learning, semi-supervised, and transductive learning.</li></ul><p></p><b><br>
Requirements</b><p><br>
Desired Qualifications</p><ul>
<li>MSc or PhD student in Computer Science &amp; Engineering/Statistics/Math/Physics, or Advanced Undergraduate</li>
<li>Deep classroom experience in data science or machine learning or prior internship</li>
<li>Comfortable with Python or R</li>
<li>Knowledge of machine/deep learning algorithms (e.g. gradient boosting, CNNs, sequence models) and frameworks/libraries (e.g., Tensorflow, PyTorch, Sci kit-learn)</li>
<li>Knowledge of computer vision and natural language processing</li>
<li>Strong working experience with large multi-modal and language models preferred</li>
<li>Great communication skills, organized, able to multitask and be a team player</li>
<li>Ability to balance attention to detail with agile execution</li><br>
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<b>Benefits</b><p><br>
Paid summer internship with one of the top Video AI tech companies in the world!</p><p>
Catered Lunches (really good food)</p><p>
Great atmosphere, nice colleagues</p><p>
Summer Party!</p></div>

Last Minute AI-Machine Learning Summer Internship (Gen AI - Multimodal)

Zoox

<div><div><b>About the Role</b></div><div></div><div><br>
At Zoox, we are pushing the boundaries of autonomous mobility. Within our Autonomy Software organization, we are pioneering a Multi-Modal Large Language Model (M-LLM) designed to fundamentally understand driving. Simultaneously, our dedicated AI productivity team is focused on leveraging advanced AI to enhance engineering and enterprise efficiency.</div><div></div><div><br>
We are looking for a highly motivated <b>Part-Time Student Worker</b> to operate at the exciting intersection of these two initiatives. Working directly with the Vice President of Autonomy Software, you will explore, prototype, and strategize ways to integrate our cutting-edge M-LLM technologies into the daily workflows of our autonomy organization. If you are passionate about applied AI, productivity, and the future of autonomous driving, this is an incredible opportunity to make a tangible impact at the executive level.</div>
<h3 class="jobSectionHeader"><b>In this role, you will:
</b></h3><ul><li><b>Executive Collaboration:</b> Work directly with the VP of Autonomy Software to brainstorm, define, and evaluate opportunities where M-LLMs can streamline and supercharge organizational workflows.</li><li><b>
Cross-Functional Bridging:</b> Act as the strategic and technical bridge between the core M-LLM Autonomy development team and the broader AI Productivity team, ensuring alignment and sharing best practices.</li><li><b>
Prototyping &amp; Integration:</b> Build lightweight prototypes, scripts, or internal tools that leverage multi-modal AI to solve real-world engineering, data analysis, or administrative bottlenecks.</li><li><b>
Exploratory Research:</b> Stay up-to-date on the latest advancements in LLMs, M-LLMs, and agentic workflows to propose new use cases for the autonomy software division.</li></ul><h3 class="jobSectionHeader"><b>
What you bring:
</b></h3><ul><li><b>Education:</b> Currently pursuing a Bachelor&rsquo;s, Master&rsquo;s, or Ph.D. in Computer Science, Artificial Intelligence, Software Engineering, or a closely related field.</li><li><b>
AI/LLM Knowledge:</b> A strong conceptual and practical understanding of Large Language Models, prompt engineering, and multi-modal AI architectures.</li><li><b>
Technical Chops:</b> Proficiency in Python, with experience using AI/ML frameworks, APIs, or building lightweight internal applications.</li><li><b>
Communication Skills:</b> Excellent verbal and written communication skills, with the ability to translate complex technical concepts into actionable workflows for executive leadership and distinct engineering teams.</li><li><b>
Mindset:</b> Highly proactive, scrappy, and entrepreneurial. You enjoy finding inefficiencies and building clever, AI-driven solutions to fix them.</li></ul><div>
$30 per hour.</div><div></div><div><br>
This is a contract position and employment for this position will be through a vendor contracted with Zoox. The hourly pay range is posted and you will be eligible for a benefits package as offered by the vendor.</div>
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Part-Time Student Worker – Applied AI & LLM Workflows

Search 4965+ Ml engineer intern jobs near you this May. New roles added regularly across leading industries. Apply today.