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accounting, finance and operations rotation program

machine learning engineer Jobs in Los Angeles

machine learning engineer

applied ai engineering intern (on-site - marina del rey) Jobs in Los Angeles

creator operation manager intern (tiktok shop - operations) - 2026 summer (bs/ ms) Jobs in Los Angeles

data engineer

data scientist ii, growth Jobs in Los Angeles

data scientist ii, growth

machine learning intern

Tinder

<div>
 
 
 Our Mission
 
 
 
 
 
 
 
 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&mdash;and rapidly growing.
 
 
 
 
 
 
 
 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.
 
 
 
 
 
 
 
 Program Duration
 
 
 
 
 The internship program will run from June 1 through August 28, 2026.
 
 
 
 
 
 
 
 Where you&rsquo;ll work
 
 
 
 
 This is a hybrid role that requires in-office collaboration three days per week in Los Angeles.
 
 
 
 
 
 
 
 About the Role
 
 
 
 
 As a Data Scientist Intern at Tinder, you&rsquo;ll help us uncover insights from one of the world&rsquo;s largest datasets to enhance user experience, strengthen safety, and drive innovation across our platform. You&rsquo;ll work alongside talented engineers, data scientists, and product teams to solve real-world problems using data-driven approaches that shape the future of how people connect.
 
 
 
 
 
 
 
 What you'll do:
 
 <li>
 Explore and analyze large-scale datasets to identify patterns, trends, and opportunities
 </li>
 <li>
 Develop and evaluate machine learning models and/or LLMs that improve user experience and engagement
 </li>
 <li>
 Design and execute A/B experiments to measure the impact of product features and algorithmic changes
 </li>
 <li>
 Collaborate with cross-functional partners in Data Science, Product, and Engineering to translate insights into actionable strategies
 </li>
 <li>
 Present key findings and project outcomes to Product and Leadership teams during end-of-internship demos
 </li>
 <li>
 Translate data insights into clear narratives and recommendations that inform product roadmaps and user experience improvements
 </li>
 <li>
 Participate in improving the team&rsquo;s tools and techniques for experiment reads, focusing on standardization, automation, and clear documentation
 </li>
 
 
 
 
 What we're looking for:
 
 <li>
 Passion for using data and experimentation to solve complex problems
 </li>
 <li>
 Intermediate to advanced SQL skills for data querying and analysis
 </li>
 <li>
 Familiarity with / building to proficiency in Python
 </li>
 <li>
 Strong foundation in statistics, probability, and machine learning fundamentals
 </li>
 <li>
 Understanding of data structures and algorithms
 </li>
 <li>
 Currently pursuing a BS/BA, MS, or PhD in Computer Science, Data Science, Economics, Statistics, Applied Math, or a related field
 </li>
 
 
 
 
 
 
 
 Commitment to Inclusion
 
 
 
 
 
 
 
 At Tinder, we don&rsquo;t just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don&rsquo;t meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here:&nbsp;
 
 
 https://www.lifeattinder.com/dei
 
 
 
 
 
 
 
 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.
 
 
 
 
 
 
 
 #Tinder
 
 
 
 
 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.
 
 
 
 
 The compensation range listed above is representative of the hourly rate offered.
 
 
 
 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 Los Angeles, 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.
 
</div>

Data Scientist Intern

Motorola Solutions

<div><h2 class="jobSectionHeader">Company Overview
</h2>At Motorola Solutions, we believe that everything starts with our people. We&rsquo;re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that&rsquo;s critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future. 
<h2 class="jobSectionHeader"> 
Department Overview
</h2>Silvus Technologies, a leading provider of advanced MANET and MIMO communications systems, is reshaping mesh network technology for mission-critical applications &ndash; on the ground, in the air and at sea. Its battle-proven StreamCaster family of MANET radios and proprietary MN-MIMO waveform provides the vital communications link for defense, law enforcement and public safety agencies around the world, and in the toughest operational environments.
 
 
With deep roots in DARPA research, Silvus Technologies develops world-class advanced communications technologies that are reshaping the tactical communications landscape. From pure line-of-sight to extreme non-line-of-sight, Silvus radios form a self-healing, self-forming mesh network, enabling secure and reliable connectivity, including video and high-bandwidth data.
 
 
Silvus Technologies is a wholly owned subsidiary of Motorola Solutions, Inc.
<h2 class="jobSectionHeader"> 
Job Description
</h2>Would you like to join an incredibly talented group of people, doing very challenging work, with the prime directive of &ldquo; Keeping Our Heroes Connected &rdquo;?
THE OPPORTUNITY
Silvus is seeking a Machine Learning Engineer who will report to the R&amp;D Director, Machine Learning on the R&amp;D team. The successful individual in this role will focus on applying machine learning and data-driven techniques to improve the performance, efficiency, and adaptability of Silvus&rsquo; advanced MIMO radios and wireless networking systems. This individual will work closely with experts in wireless communications, DSP, networking, and embedded systems to develop ML-driven features that solve real-world problems in dynamic and challenging RF environments.
This position is based at Silvus Technologies&rsquo; headquarters in the heart of vibrant West Los Angeles, CA, and is on a hybrid schedule. A minimum of 3 days onsite per week is expected. On-site days are Mondays, Wednesdays, and Thursdays.
The following is a list of at least some of the current essential job functions of the position. Management may assign or reassign duties and responsibilities at any time at its discretion.
ROLE AND RESPONSIBILITIES
<ul><li>Research, design, and implement machine learning algorithms to enhance performance in wireless communication systems (e.g., link adaptation, interference mitigation, anomaly detection, spectrum sensing).
</li><li>Analyze real-world radio frequency datasets to extract insights and develop predictive models.
</li><li>Develop software prototypes and integrate ML algorithms with Silvus&rsquo; radio firmware and networking stack.
</li><li>Collaborate with cross-functional teams to define machine learning use cases and evaluate the impact of deployed models.
</li><li>Contribute to the design of data pipelines and infrastructure for training, testing, and validating models.
</li><li>Participate in performance benchmarking and iterative improvement cycles.
</li><li>Stay current with the latest Machine Learning research for wireless and embedded systems.
</li><li>Perform other related duties of which the above are representative.
</li></ul>REQUIRED QUALIFICATIONS
<ul><li>M.S. or Ph.D. in Electrical Engineering, Computer Science, or a related field.
</li><li>Minimum of 3 years of experience in machine learning, with demonstrated application to real-world problems; 1 year of machine learning experience with a PhD.
</li><li>Strong foundation in supervised and unsupervised learning, signal processing, and statistical modeling.
</li><li>Experience with Python ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn, etc.).
</li><li>Familiarity with wireless communication concepts (e.g., PHY/MAC layers, MIMO, OFDM, spectrum access, SDRs).
</li><li>Proficiency in MATLAB or C/C++ for signal processing algorithm development.
</li><li>Security Clearance: Active U.S. Government SECRET clearance or the ability to obtain one within 15 months of hire.
</li><li>Must be a U.S. Citizen due to clients under U.S. government contracts.
</li><li>All employment is contingent upon the successful clearance of a background check and drug test.
</li></ul>PREFERRED KNOWLEDGE, SKILLS, AND ABILITIES
<ul><li>Demonstrated experience with radio frequency signal classification, anomaly detection, or spectrum monitoring.
</li><li>Familiarity with embedded machine learning, real-time systems, or deploying machine learning on edge devices.
</li><li>Background in adaptive modulation, beamforming, or cognitive radio techniques.
</li><li>Experience working with wireless standards such as 3GPP, IEEE 802.11/15, or military waveforms.
</li><li>Experience with GPU acceleration or model optimization for constrained environments.
</li><li>Excellent communication and collaboration skills.
</li></ul>WORKING CONDITIONS AND PHYSICAL REQUIREMENTS
<ul><li>Office environment.
</li><li>Outdoor environment for demos.
</li><li>Occasional exposure to heat, cold, and allergens while performing tests or demonstrations in the field.
</li><li>While performing the duties of this job, the employee is required to do the following:
</li></ul><ul><li>Lift equipment up to 20 lbs. for the set-up of demonstrations and testing.
</li></ul><ul><li>Perform bending and reaching movements to place items on lower and higher shelves.
</li></ul>COMPENSATION: $120,000 - $160,000 / annually
The pay range is NOT a guarantee. It is based on market research and peer data and will vary depending on the candidate&rsquo;s experience and qualifications.
NOTE - As a US Federal Contractor, Silvus Technologies requires that ALL candidates being considered for employment for any position (regardless of level) MUST be a U.S. Person (permanent resident or citizen). Stricter U.S. Citizen ONLY requirements (needed for some Engineering or R&amp;D roles) will be included in the Required Qualifications section of the posted position. This does NOT apply to international positions; only job postings for positions located in the US.
All employment is contingent upon the successful clearance of a background check and drug test. 
<h2 class="jobSectionHeader"> 
Basic Requirements
</h2><ul><li>M.S. or Ph.D. in Electrical Engineering, Computer Science, or a related field.
</li><li>Minimum of 3 years of experience in machine learning, with demonstrated application to real-world problems; 1 year of machine learning experience with a PhD.
</li><li>Strong foundation in supervised and unsupervised learning, signal processing, and statistical modeling.
</li><li>Experience with Python ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn, etc.).
</li><li>Familiarity with wireless communication concepts (e.g., PHY/MAC layers, MIMO, OFDM, spectrum access, SDRs).
</li><li>Proficiency in MATLAB or C/C++ for signal processing algorithm development.
</li><li>Security Clearance: Active U.S. Government SECRET clearance or the ability to obtain one within 15 months of hire.
</li><li>Must be a U.S. Citizen due to clients under U.S. government contracts.
</li></ul><h2 class="jobSectionHeader"> 
Travel Requirements
</h2>Under 10%
<h2 class="jobSectionHeader"> 
Relocation Provided
</h2>Domestic
<h2 class="jobSectionHeader"> 
Position Type
</h2>Experienced
<h2 class="jobSectionHeader"> 
Referral Payment Plan
</h2>Yes
Our U.S. Benefits include:
<ul><li>Incentive Bonus Plans
</li><li>Medical, Dental, Vision benefits
</li><li>401K with Company Match
</li><li>10 Paid Holidays
</li><li>Generous Paid Time Off Packages
</li><li>Employee Stock Purchase Plan
</li><li>Paid Parental &amp; Family Leave
</li><li>and more! 
</li></ul> 
EEO Statement
Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic.
We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you&rsquo;d like to join our team but feel that you don&rsquo;t quite meet all of the preferred skills, we&rsquo;d still love to hear why you think you&rsquo;d be a great addition to our team.
We&rsquo;re committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please complete this Reasonable Accommodations Form so we can assist you.</div>

Machine Learning Engineer

SILVUS TECHNOLOGIES

<div><div>THE COMPANY

Silvus Technologies, a leading provider of advanced MANET and MIMO communications systems, is reshaping mesh network technology for mission-critical applications &ndash; on the ground, in the air, and at sea. Its battle-proven StreamCaster family of MANET radios and proprietary MN-MIMO waveform provides the vital communications link for defense, law enforcement, and public safety agencies around the world, and in the toughest operational environments.

With deep roots in DARPA research, Silvus Technologies develops world-class advanced communications technologies that are reshaping the tactical communications landscape. From pure line-of-sight to extreme non-line-of-sight, Silvus radios form a self-healing, self-forming mesh network, enabling secure and reliable connectivity, including video and high-bandwidth data

Silvus Technologies is a wholly owned subsidiary of Motorola Solutions, Inc.

Would you like to join an incredibly talented group of people, doing very challenging work, with the prime directive of &quot;Keeping Our Heroes Connected&quot;?</div>
THE OPPORTUNITY

Silvus is seeking a Machine Learning Engineer who will report to the R&amp;D Director, Machine Learning on the R&amp;D team. The successful individual in this role will focus on applying machine learning and data-driven techniques to improve the performance, efficiency, and adaptability of Silvus' advanced MIMO radios and wireless networking systems. This individual will work closely with experts in wireless communications, DSP, networking, and embedded systems to develop ML-driven features that solve real-world problems in dynamic and challenging RF environments.

This position is based at Silvus Technologies' headquarters in the heart of vibrant West Los Angeles, CA, and is on a hybrid schedule. A minimum of 3 days onsite per week is expected. On-site days are Mondays, Wednesdays, and Thursdays.

The following is a list of at least some of the current essential job functions of the position. Management may assign or reassign duties and responsibilities at any time at its discretion.

ROLE AND RESPONSIBILITIES
<ul>
<li>Research, design, and implement machine learning algorithms to enhance performance in wireless communication systems (e.g., link adaptation, interference mitigation, anomaly detection, spectrum sensing).</li>
<li>Analyze real-world radio frequency datasets to extract insights and develop predictive models.</li>
<li>Develop software prototypes and integrate ML algorithms with Silvus' radio firmware and networking stack.</li>
<li>Collaborate with cross-functional teams to define machine learning use cases and evaluate the impact of deployed models.</li>
<li>Contribute to the design of data pipelines and infrastructure for training, testing, and validating models.</li>
<li>Participate in performance benchmarking and iterative improvement cycles.</li>
<li>Stay current with the latest Machine Learning research for wireless and embedded systems.</li>
<li>Perform other related duties of which the above are representative.</li>
</ul>
REQUIRED QUALIFICATIONS
<ul>
<li>S. or Ph.D. in Electrical Engineering, Computer Science, or a related field.</li>
<li>Minimum of 3 years of experience in machine learning, with demonstrated application to real-world problems; 1 year of machine learning experience with a PhD.</li>
<li>Strong foundation in supervised and unsupervised learning, signal processing, and statistical modeling.</li>
<li>Experience with Python ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn, etc.).</li>
<li>Familiarity with wireless communication concepts (e.g., PHY/MAC layers, MIMO, OFDM, spectrum access, SDRs).</li>
<li>Proficiency in MATLAB or C/C++ for signal processing algorithm development.</li>
<li>Security Clearance: Active U.S. Government SECRET clearance or the ability to obtain one within 15 months of hire.</li>
<li>Must be a U.S. Citizen due to clients under U.S. government contracts.</li>
<li>All employment is contingent upon the successful clearance of a background check and drug test.</li>
</ul>
PREFERRED KNOWLEDGE, SKILLS, AND ABILITIES
<ul>
<li>Demonstrated experience with radio frequency signal classification, anomaly detection, or spectrum monitoring.</li>
<li>Familiarity with embedded machine learning, real-time systems, or deploying machine learning on edge devices.</li>
<li>Background in adaptive modulation, beamforming, or cognitive radio techniques.</li>
<li>Experience working with wireless standards such as 3GPP, IEEE 802.11/15, or military waveforms.</li>
<li>Experience with GPU acceleration or model optimization for constrained environments.</li>
<li>Excellent communication and collaboration skills.</li>
</ul>
WORKING CONDITIONS AND PHYSICAL REQUIREMENTS
<ul>
<li>Office environment.</li>
<li>Outdoor environment for demos.</li>
<li>Occasional exposure to heat, cold, and allergens while performing tests or demonstrations in the field.</li>
<li>While performing the duties of this job, the employee is required to do the following:
<ul><li>Lift equipment up to 20 lbs. for the set-up of demonstrations and testing.</li>
<li>Perform bending and reaching movements to place items on lower and higher shelves.</li>
</ul>
</li></ul><div>NOTE - As a US Federal Contractor, Silvus Technologies requires that ALL candidates being considered for employment for any position (regardless of level) MUST be a U.S. Person (permanent resident or citizen). Stricter U.S. Citizen ONLY requirements (needed for some Engineering or R&amp;D roles) will be included in the Required Qualifications section of the posted position. This does NOT apply to international positions; only job postings for positions located in the US.

All employment is contingent upon the successful clearance of a background check and drug test.

Silvus is proud to be an equal opportunity employer, and we value diversity. We do not discriminate on the basis of race, color, age, religion or belief, ancestry, national origin, sex (including pregnancy), sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, physical or mental disability, protected veteran status, genetic information, political affiliation, or any other factor protected by applicable federal, state, or local laws.

We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive benefits and privileges of employment. Please contact us to request accommodation.

 *Silvus does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to Silvus Technologies.</div></div>

Hadrian

<div>
 
 Hadrian - Manufacturing the Future
 
 
 
 Hadrian is building autonomous factories that help aerospace and defense companies manufacture rockets, satellites, jets, and ships up to 10x faster and up to 2x cheaper. By combining advanced software, robotics, and full-stack manufacturing, we are reinventing how America produces its most critical parts.
 
 
 We&rsquo;re accelerating our mission with the launch of Factory 3 in Mesa, Arizona, a 290,000-square-foot facility creating 350 new jobs. We are expanding rapidly to support thousands of future hires, launching Hadrian Maritime to expand into naval production, and introducing a Factory-as-a-Service model that delivers complete systems instead of individual parts.
 
 
 Hadrian is backed by leading investors including T. Rowe Price, Lux Capital, Founders Fund, and Andreessen Horowitz, our fast-growing team is united around reindustrializing American manufacturing for the 21st century and beyond.
 
 
 
 The Role
 
 
 
 Hadrian is building advanced software systems to automate Design for Manufacturing (DFM) analysis and accelerate precision manufacturing. Our homebuilt DFM platform analyzes design prints and CAD models to make logical, data-driven determinations about whether and how Hadrian can manufacture a part.
 
 
 We work closely with some of the best operators in the world to identify high-impact opportunities where software, computer vision, and machine learning can meaningfully augment or automate complex engineering judgment. As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling these systems end to end.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Research, develop and deploy cutting-edge deep learning models, including OCR, vision-language, and detection models for document understanding and layout analysis
 </li>
 <li>
 Contribute to the ongoing development and refinement of current models in close collaboration within the engineering team and end users
 </li>
 <li>
 Work in every facet of the Machine Learning lifecycle - including the creation and optimization of production data pipelines, and software systems for training, inference, labeling, and evaluation
 </li>
 <li>
 Judiciously combine open-source solutions and novel research to create world-class vision systems for manufacturing applications
 
 
 </li>
 </ul>
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 Bachelors in Computer Science, Electrical Engineering, Mechanical Engineering (or similar discipline), or an equivalent amount of deep learning experience
 </li>
 <li>
 5+ years of experience in Computer Vision and/or Machine Learning, including ownership of projects throughout the entire ML Lifecycle
 </li>
 <li>
 Proficiency in Python, OpenCV, SQL, and one or more deep learning frameworks (PyTorch, Tensorflow, etc.)
 
 
 </li>
 </ul>
 
 What Sets You Apart
 
 
 
 <ul>
 <li>
 A Master&rsquo;s Degree in Computer Science with focus in Artificial Intelligence or Machine Learning
 </li>
 <li>
 Demonstrated experience with detection/segmentation models and achieving high performance results - including exploratory analysis, model selection, and hyperparameter tuning
 </li>
 <li>
 Previously worked in aerospace, defense, or manufacturing, and have experience working 3D/CAD/CAM data for manufacturing applications
 </li>
 <li>
 Strong software engineering skills and prior web development experience using Javascript/TypeScript or Python, and familiarity with FastAPI or Express frameworks
 </li>
 <li>
 Prior experience with distributed training using cloud infrastructure
 </li>
 <li>
 Prior experience with visual document understanding and layout analysis
 </li>
 <li>
 Published research or achieved SOA results on an ML application
 </li>
 <li>
 Prior experience with multi-modal deep learning models
 </li>
 <li>
 You have a passion for manufacturing and believe that the industry needs better software
 </li>
 <li>
 Prior experience working in a startup environment
 
 
 </li>
 </ul>
 
 Compensation
 
 
 
 For this role, the target salary range is $160,000 - $250,000 (actual range may vary based on experience).
 
 
 This is the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee's pay position within the salary range will be based on several factors, including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.
 
 
 
 Benefits
 
 
 
 <ul>
 <li>
 Medical, dental, vision, and life insurance plans for employees
 </li>
 <li>
 401k
 </li>
 <li>
 Relocation support may be provided for certain situations, based on business need.
 </li>
 <li>
 Flexible vacation policy
 
 
 </li>
 </ul>
 
 ITAR Requirements
 
 
 
 To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.
 
 
 
 Hadrian Is An Equal Opportunity Employer
 
 
 
 It is the Company&rsquo;s policy to provide equal employment opportunity for all applicants and employees. The Company does not unlawfully discriminate on the basis of race inclusive of traits historically associated with race (including, but not limited to, hair texture and protective hairstyles, such as braids, locks and twists), color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, transgender status, national origin (including, in California, possession of a drivers license), ancestry, citizenship, age, physical or mental disability, height or weight, medical condition, family care status, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, exercise of reproductive rights, any other basis protected by local, state, or federal laws, or any combination of the above characteristics. When necessary, the Company also makes reasonable accommodations for disabled candidates and employees, including for candidates or employees who are disabled by pregnancy, childbirth, or related medical conditions.
</div>

<div><div><h3 class="jobSectionHeader">Who We Are</h3>

Gr0 is a Los Angeles-based full-service digital marketing agency built on a single premise: performance is the only metric that matters. Since our founding in 2020, we have grown into one of the most decorated and results-driven agencies in the country, offering the complete stack &mdash; GEO, SEO, paid search, paid social, link building, content, email, and creative &mdash; under one roof, tailored to brands at every stage.
<h3 class="jobSectionHeader">
GR0 By the Numbers</h3>

$1B+ generated for direct-to-consumer brands 
$500M+ in digital advertising managed 
1,200+ clients served since 2020 
95% average YoY growth for startup and small business clients 
70%+ of new clients come from existing client referrals &mdash; because the work speaks
<h3 class="jobSectionHeader">
About the Role</h3>

GR0 is hiring an Applied AI Engineering Intern to create disruptive new approaches to marketing across GEO, SEO, paid media, link building, and creative. This is not a pre-scoped internship &mdash; there is no &quot;starter project&quot; and no meetings to recap or spreadsheets to update. We are hiring someone who is obsessed with how AI is changing every facet of business, thrives on autonomy, and can walk in on day one, identify the highest-leverage bottleneck in modern marketing, and ship an AI-native system that changes how the work gets done. Someone to join our push to transform marketing forever.
<h3 class="jobSectionHeader">
Program Details</h3>

Duration: June 1, 2026 through July 31, 2026 
Schedule: Monday &ndash; Thursday, 8 hours/day 
Compensation: $45/hour
</div>
<h3 class="jobSectionHeader">What You'll Do:</h3><div>
<ul>
<li><div>Identify and attack the highest-leverage AI opportunities across GR0's service lines &mdash; from GEO visibility and LLM-optimized link building strategies to AI-automated paid media workflows and creative output modeling.</div>
</li>
<li><div>Create agentic workflows that take research to launch to iteration, with evaluation guardrails and client-facing controls.</div>
</li>
<li><div>Build functional tools and prototypes using LLM APIs (Claude, OpenAI GPT-o, Gemini) and agentic frameworks (LangChain).</div>
</li>
<li><div>Evaluate LLMs and help choose the right models for the right tasks &mdash; balancing cost, speed, and accuracy.</div>
</li>
<li><div>Get hands-on with RAG, web search integrations, and tool use (CRMs, calendars, and APIs).</div>
</li>
<li><div>Experiment with prompt frameworks and agent behaviors for real workflows like email generation, prospect research, and meeting scheduling.</div>
</li>
<li><div>Explore emerging modalities &mdash; voice AI, multi-modal reasoning, and what makes AI feel more human.</div>
</li>
<li><div>Design agent workflows that make smart decisions, self-optimize, and deliver real outcomes.</div>
</li>
<li><div>Build safety guardrails, fail-safes, and success metrics into AI systems.</div>
</li>
<li><div>Present ideas, experiments, and results to the broader team.</div>
</li>
</ul></div><h3 class="jobSectionHeader">Who You Are:</h3><div>
<ul>
<li><div>Currently enrolled at a college or university.</div>
</li>
<li><div>Passionate about AI, machine learning, automation, or software development.</div>
</li>
<li><div>A self-starter who loves to tinker, build, and problem-solve &mdash; you define the problem, not just execute tasks.</div>
</li>
<li><div>Comfortable with ambiguity and able to thrive in a fast-paced.</div>
</li>
<li><div>Able to collaborate across disciplines and communicate clearly to both technical and non-technical stakeholders.</div>
</li>
<li><div>Experience with Python, APIs, or AI tools is a plus &mdash; but hunger to learn matters most.</div>
</li>
<li><div>Marketing fluency is a bonus, but what really counts is your ability to translate capability into measurable outcomes and adoption.</div>
</li>
</ul></div><h3 class="jobSectionHeader">What Success Looks Like:</h3><div>
<ul>
<li><div>A production-grade prototype or internal tool that materially improves speed, quality, or performance in at least one channel (GEO/SEO/paid/creative). &ldquo;Production-grade&rdquo; here means: documented, measured, repeatable, and adopted by the team.</div>
</li>
<li><div>A clear evaluation story (dashboards, experiments, QA checks) showing what improved and why&mdash;reflecting the &ldquo;real-world impact&rdquo; and &ldquo;real-world problem&rdquo; framing in AI internship language.</div>
</li>
<li><div>A portfolio-quality artifact: a technical write-up, internal playbook, open-source demo, or client-facing capability&mdash;consistent with the way many AI internships emphasize dissemination, publication, or durable output.</div>
</li>
</ul></div><h3 class="jobSectionHeader">Hiring Process:</h3><div>
<ul><li>Stage 1 (Recruiter Screen) - After you submit your application, our talent recruitment team will review and reach out to candidates. During this 30-minute phone call, we&rsquo;ll discuss your career journey and professional motivators while learning about GR0 overall.</li>
<li>Stage 2 (Hiring Manager Interview) - You'll meet with the department lead to discuss your background, explore your experience in more detail, and share why you&rsquo;re a strong fit for the internship.</li>
<li>Stage 3 (Internship Extended) - If a #GR0mance has brewed, we will extend an internship!</li>
</ul></div><div><h3 class="jobSectionHeader">About Us</h3> 
<div>
Headquartered in Los Angeles, California, GR0 is an award-winning digital marketing agency focused exclusively on igniting organic growth for direct-to-consumer and business-to-business startups and established brands. GR0 empowers these brands to build powerful online brands using a highly technical, best-in-class approach that delivers value and experience to consumers and engagement and sales for brands.</div><div> 
GR0&rsquo;s notable awards and achievements include:</div><div> 
Glassdoor&rsquo;s &ldquo;Top CEOs&rdquo; (2021)</div>
<div>
Clutch&rsquo;s &ldquo;Top 100 Fastest Growing Companies&rdquo; (2022)</div>
<div>
Comparably&rsquo;s &ldquo;Best Places to Work in Los Angeles&rdquo; (2021, 2022)</div>
<div>
Comparably&rsquo;s &ldquo;Best Company for Career Growth&rdquo; (2021)</div>
<div>
Built In&rsquo;s Moxie Women in Tech Awards (2021, 2022)</div>
<div>
Great Place to Work (2021, 2022, 2023, 2024)</div>
<div>
DotComm Awards (2023, 2024)</div>
<div>
Power Partner's (2024)</div>
<div>
Okendo Partner Award for Top Marketing Agency, North America (2026)</div>
</div>
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.</div>

Applied AI Engineering Intern (On-site - Marina Del Rey)

TikTok

HR
 
Talent Acquisition Project Intern (E-Commerce) - 2026 Summer (BS/MS)
 
Location
 :
 
Los Angeles
 
Employment Type
 :
 
Intern
 
Job Code
 :
 
A122796B
 
Responsibilities
 
About the Team
 Our E-commerce team is at the heart of crafting the entire commerce experience that connects creators, sellers, and buyers across the globe. Our team builds the innovative technology that powers everything from live shopping and product discovery to checkout and logistics, making shopping on TikTok joyful, engaging, and effortless.
 
As a Talent Acquisition Intern on our Talent Acquisition team, you will be a key player in building the teams in the E-commerce organization. You will partner closely with recruiters and hiring managers to identify, engage, and attract top technical talent in an open market. More than just finding candidates, you will be a brand ambassador, ensuring every potential hire has a high-quality and welcoming experience from the very first contact.
 
As a project intern, you will have the opportunity to engage in impactful short-term projects that provide you with a glimpse of professional real-world experience. You will gain practical skills through on-the-job learning in a fast-paced work environment and develop a deeper understanding of your career interests.
 
Successful candidates must be able to commit to an onboarding date in 2026 Summer. Please state your availability and graduation date clearly in your resume.
 
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 TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
 
Responsibilities: 
<ul>
<li>Support hiring managers and recruiters across both English and Mandarin-speaking regions to understand technical requirements, learn how to define candidate profiles, and help calibrate talent needs.</li>
<li>Assist in developing and executing sourcing strategies to build a pipeline of top-tier technical talent for critical roles under the guidance of experienced team members.</li>
<li>Learn to identify and engage passive candidates through various channels, including LinkedIn, GitHub, Stack Overflow, and other technical communities.</li>
<li>Participate in refining our sourcing processes and tools to help boost efficiency, candidate quality, and the overall effectiveness of our hiring funnel.</li>
<li>Support various talent acquisition projects, such as organizing virtual hiring events, gathering data for market intelligence reports, and assisting with diversity-focused sourcing initiatives.</li>
</ul>
Qualifications
 
Minimum Qualifications: 
<ul>
<li>Currently pursuing a Bachelor's or Master's degree.</li>
<li>Exceptional communication and interpersonal skills, with an interest in learning how to craft compelling outreach.</li>
<li>Strong organizational skills and a keen eye for detail, with the ability to manage multiple tasks effectively.</li>
<li>High motivation to learn about technical and non-technical recruitment in a fast-paced environment.</li>
<li>Must be able to commit to a 6-month full-time work period during 2026 Summer.</li>
</ul>
Preferred Qualifications: 
<ul>
<li>Prior internship or project experience in HR or recruiting.</li>
<li>Familiarity with or a strong interest in learning sourcing tools like LinkedIn Recruiter, social media platforms, or technical forums.</li>
<li>An interest in the tech industry, specifically regarding roles in Product Management, Design, Strategy, or Data Science.</li>
<li>A data-driven mindset, with a willingness to learn how to use metrics to inform sourcing strategies.</li>
</ul>
Job Information
 
【For Pay Transparency】Compensation Description (Hourly) - Campus Intern
 
The hourly rate range for this position in the selected city is $23.75- $23.75.
 
​
 
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.
 
​
 
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
 
​
 
For Los Angeles County (unincorporated) Candidates: 
​
 
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:
 
​
 
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
 
​
 
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
 
​
 
3. Exercising sound judgment.
 
​
 
About TikTok
 
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.
 
​
 
Why Join Us
 
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.
 
​
 
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.
 
​
 
​
 
Diversity & Inclusion
 
​
 
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.
 
​
 
TikTok Accommodation
 
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
 
https://tinyurl.com/RA-request

Talent Acquisition Project Intern (E-Commerce) - 2026 Summer (BS/MS)

Fox Corporation

<div>OVERVIEW OF THE COMPANY<h2 class="jobSectionHeader">
JOB DESCRIPTION</h2>
Under the FOX banner, we produce and distribute content through some of the world&rsquo;s leading and most valued brands, including: FOX News Media, FOX Sports, FOX Entertainment, FOX Television Stations and Tubi Media Group. We empower a diverse range of creators to imagine and develop culturally significant content, while building an organization that thrives on creative ideas, operational expertise and strategic thinking.
ABOUT THE ROLE
The Product Manager, Emerging Technology, will be responsible for defining, prototyping, and scaling next-generation AI capabilities across FOX platforms. This role is focused on emergent technologies, with an emphasis on Large Language Models (LLMs), generative AI systems, and agentic workflows.
You will operate at the intersection of product strategy, applied AI, and platform development&mdash;shaping how intelligent systems are incorporated into FOX&rsquo;s consumer, editorial, and monetization experiences. While this role does not require hands-on model development, it demands deep technical fluency, strong product judgment, and the ability to translate rapidly evolving AI capabilities into clear product vision and execution.
You will partner closely with machine learning, data science, engineering, design, and editorial teams to identify high-impact use cases; define system requirements; and guide the development of scalable, production-grade AI-powered products. This includes systems that reason over complex inputs, orchestrate tasks across tools and APIs, and generate dynamic, context-aware outputs.
This is a high-impact, high-autonomy role for a product leader energized by ambiguity, rapid prototyping, and shaping what comes next&mdash;well beyond traditional UI-driven features.
Success in this role is defined by delivering intelligent, trustworthy AI systems that enhance discovery, engagement, storytelling, and operational insight&mdash;while establishing FOX as a leader in applied generative AI for media.
A SNAPSHOT OF YOUR RESPONSIBILITIES<ul><li>
Define the product vision and roadmap for AI-native capabilities, including LLM-powered systems, agentic workflows, and automated storytelling platforms</li><li>
Lead early-stage prototyping efforts to validate emergent AI technologies, moving from concept to pilot with clear success metrics</li><li>
Partner with machine learning and engineering teams to shape scalable architectures for training, fine-tuning, deploying, and monitoring LLM-based systems</li><li>
Guide the development of agentic systems that enable models to reason, orchestrate tasks, and interact with tools, APIs, and data sources</li><li>
Translate advances in generative AI, multimodal learning, and autonomous agents into practical, production-ready product capabilities</li><li>
Drive experimentation and A/B testing to evaluate the impact of AI-powered features on engagement, efficiency, and business outcomes</li><li>
Collaborate with editorial, content, and business stakeholders to design automated systems for storytelling, summarization, and insight extraction</li><li>
Ensure AI systems meet standards for reliability, performance, safety, and observability in real-world use cases</li><li>
Define and track KPIs tied to learning velocity, feature adoption, model effectiveness, and downstream business impact</li><li>
Develop product requirements, briefs, and decision frameworks that align cross-functional teams around complex, evolving AI initiatives</li><li>
Foster a culture of responsible innovation, curiosity, and technical rigor across product and partner teams</li></ul>
WHAT YOU WILL NEED<ul><li>
Strong interest in sports, with a genuine enthusiasm for sports culture and content</li><li>
5 to 8 years of product management and/or engineering experience, with a focus on platform, experimentation, or technically complex product areas</li><li>
Demonstrated experience leading products that incorporate machine learning, AI, or data-driven systems in production environments</li><li>
Strong conceptual understanding of Large Language Models, transformer architectures, prompt engineering, and fine-tuning approaches</li><li>
Experience defining product requirements for agentic systems, including tool use, multi-step reasoning, and workflow orchestration</li><li>
Familiarity with retrieval-augmented generation (RAG), embeddings, vector databases, and evaluation strategies for LLM-based products</li><li>
Ability to work closely with ML engineers and data scientists to translate technical constraints into product tradeoffs and roadmaps</li><li>
Comfort operating in ambiguity and making prioritization decisions amid rapid technological change</li><li>
Strong analytical mindset, with experience defining success metrics and using data to guide iteration</li><li>
Excellent communication skills, with the ability to align technical and non-technical stakeholders around complex ideas</li><li>
Passion for the future of media, storytelling, and intelligent systems, with a strong interest in emerging AI capabilities</li></ul>
NICE TO HAVE, BUT NOT A DEALBREAKER<ul><li>
Experience working on AI platforms, internal tooling, or developer-facing products</li><li>
Background collaborating with editorial, content, or newsroom teams</li><li>
Familiarity with ethical, safety, and governance considerations in AI product development</li><li>
Experience guiding teams through build vs. buy decisions for AI infrastructure</li><li>
Exposure to multimodal systems combining text, audio, video, or vision</li><li>
A habit of drawing inspiration from adjacent industries including media, prediction markets, fintech, et al, to inform AI-native product design</li></ul>
#Ll-CC1
#Ll-Hybrid
Learn more about Fox Tech at https://tech.fox.com
#foxtech
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.
Pursuant to state and local pay disclosure requirements, the pay rate/range for this role, with final offer amount dependent on education, skills, experience, and location is $114,000.00-152,000.00 annually. This role is also eligible for an annual discretionary bonus, various benefits, including medical/dental/vision, insurance, a 401(k) plan, paid time off, and other benefits in accordance with applicable plan documents. Benefits for Union represented employees will be in accordance with the applicable collective bargaining agreement.
View more detail about FOX Benefits.</div>

Product Manager II, Emerging Technology

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Product Manager II, Emerging Technology