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Internship Applied Scientist Machine Learning Jobs

Viant Technology

Staff Applied Scientist

Irvine, CA · On-site

$180K - $220K/yr

WHAT YOU'LL DO Viant's Machine Learning team is at the forefront of transforming the Ad Tech ... We are seeking an exceptional Staff Applied Scientist to drive groundbreaking innovation in applied ...

Rule14

Data Scientist Machine Learning

Santa Monica, CA · On-site

$75K - $100K/yr

As a Data Scientist Machine Learning, you will work within a small data science team focusing on predictive modeling, natural language processing, computer vision, recommender systems, and OCR ...

Garner Health

Staff Applied Scientist

New York, NY · On-site

Choose the right approach for each problem, from machine learning to optimization to heuristics to ... Review applied science work at the highest level across the company, ensuring the methods used ...

Garner Health

Staff Applied Scientist

New York, NY · On-site

Choose the right approach for each problem, from machine learning to optimization to heuristics to ... Review applied science work at the highest level across the company, ensuring the methods used ...

Garner Health

Senior Applied Scientist

New York, NY

$236K - $260K/yr

We are seeking an exceptional Senior Applied Scientist to join our Applied Science team. In this ... Choose the right approach for each problem, from machine learning to optimization to heuristics to ...

Garner Health

Senior Applied Scientist

New York, NY · On-site

$236K - $260K/yr

We are seeking an exceptional Senior Applied Scientist to join our Applied Science team. In this ... Choose the right approach for each problem, from machine learning to optimization to heuristics to ...

Qualtrics

Applied Scientist II

Seattle, WA · On-site

Applied Scientist II Why We Have This Role We are looking for talented and innovative Applied ... Leverage your deep knowledge of artificial intelligence (AI) principles, including machine learning ...

Qualtrics

Applied Scientist II

Seattle, WA

Applied Scientist II Why We Have This Role We are looking for talented and innovative Applied ... Leverage your deep knowledge of artificial intelligence (AI) principles, including machine learning ...

Apple

Senior Apps Applied Scientist

Cupertino, CA · On-site

The Applications team is looking for an outstanding Applied Scientist who will strengthen our team's capabilities in statistical modeling, machine learning, and foundational AI development. This role ...

Amazon

Sr. Applied Scientist- P13N

Seattle, WA · On-site

$104K - $142K/yr

You will be part of a multidisciplinary team, working on one of the largest scale machine learning ... Key job responsibilities As an Applied Scientist on the team you will be working on the state of ...

Moloco

Senior Applied Scientist - Moloco Ads

Seattle, WA · On-site +1

$104K - $142K/yr

... machine learning teams and data science teams. As an Applied Scientist, you will participate as an ... individual contributor on research projects alongside other research scientists within the context ...

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Internship Applied Scientist Machine Learning information

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$25.5K

$42.6K

$88K

How much do internship applied scientist machine learning jobs pay per year?

As of Jul 16, 2026, the average yearly pay for internship applied scientist machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What types of projects do Internship Applied Scientists in Machine Learning typically work on, and how do they contribute to the team's goals?

Internship Applied Scientists in Machine Learning often collaborate with multidisciplinary teams to tackle real-world problems using data-driven approaches. Typical projects might include developing and fine-tuning machine learning models, conducting experiments to validate hypotheses, or assisting in the deployment of algorithms into production systems. Interns are expected to contribute fresh perspectives, help with data preprocessing, and perform thorough model evaluations. Through these projects, interns gain hands-on experience while directly supporting the team's research and product development objectives.

What is the difference between Internship Applied Scientist Machine Learning vs Internship Data Scientist?

AspectInternship Applied Scientist Machine LearningInternship Data Scientist
Required CredentialsRelevant degrees in Computer Science, Data Science, or related fields; knowledge of ML frameworksDegrees in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentResearch and development teams, focus on ML model developmentBusiness teams, focus on data analysis and insights
Employer & Industry UsageTech companies, AI-focused organizationsVarious industries including tech, finance, healthcare
Comparison Search IntentUnderstanding roles in ML research and developmentUnderstanding data analysis and business insights roles

Internship Applied Scientist Machine Learning roles focus on developing and applying machine learning models, often in research settings. In contrast, Internship Data Scientist positions emphasize analyzing data to generate insights for business decisions. Both roles require strong analytical skills and relevant educational backgrounds, but they differ in their primary focus and work environment.

What are the key skills and qualifications needed to thrive as an Internship Applied Scientist in Machine Learning, and why are they important?

To thrive as an Internship Applied Scientist in Machine Learning, you need a solid background in mathematics, statistics, and computer science, often supported by coursework or research experience in machine learning and data analysis. Familiarity with tools such as Python, TensorFlow, PyTorch, and experience working with large datasets are highly valued, along with knowledge of version control systems like Git. Strong problem-solving skills, curiosity, and the ability to communicate complex concepts clearly set top candidates apart. These competencies are crucial for effectively designing, implementing, and presenting machine learning solutions that address real-world challenges.

What does an Internship Applied Scientist in Machine Learning do?

An Internship Applied Scientist in Machine Learning works on real-world projects involving the design, development, and evaluation of machine learning models and algorithms. Their responsibilities typically include data analysis, building predictive models, experimenting with new techniques, and collaborating with engineers and researchers to solve complex problems. Interns gain hands-on experience with tools like Python, TensorFlow, or PyTorch, and contribute to advancing the company's AI capabilities. The role requires a strong foundation in mathematics, statistics, and computer science, as well as the ability to communicate findings to both technical and non-technical stakeholders.
More about Internship Applied Scientist Machine Learning jobs
What cities are hiring for Internship Applied Scientist Machine Learning jobs? Cities with the most Internship Applied Scientist Machine Learning job openings:
What are the most commonly searched types of Applied Scientist Machine Learning jobs? The most popular types of Applied Scientist Machine Learning jobs are:
What states have the most Internship Applied Scientist Machine Learning jobs? States with the most job openings for Internship Applied Scientist Machine Learning jobs include:
What job categories do people searching Internship Applied Scientist Machine Learning jobs look for? The top searched job categories for Internship Applied Scientist Machine Learning jobs are:
Internship Applied Scientist Machine Learning jobs near you
Infographic showing various Internship Applied Scientist Machine Learning job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Staff Applied Scientist

Staff Applied Scientist

Viant Technology

Irvine, CA • On-site

$180K - $220K/yr

Full-time

Medical, PTO

Posted 20 days ago

Job description

WHAT YOU'LL DO
Viant's Machine Learning team is at the forefront of transforming the Ad Tech industry through cutting-edge machine learning and AI-driven automation. By eliminating manual processes in digital ad creation, optimization, and measurement, we build autonomous, scalable systems that process hundreds of millions of events daily.
We are seeking an exceptional Staff Applied Scientist to drive groundbreaking innovation in applied machine learning. In this role, you will lead end-to-end AI strategy, shape the applied science roadmap, and develop next-generation models in NLP, deep learning, and large-scale AI systems. Your expertise will push the boundaries of AI capabilities, delivering measurable business impact while fostering a research-driven, data-centric culture at Viant.
THE DAY-TO-DAY
  • Lead and Define AI Strategy - Set the vision for applied ML research and AI-driven decision-making across Viant's products and services.
  • Drive High-Impact Research - Conduct advanced research in NLP, RL, LLMs, and deep learning, publishing in top-tier conferences while applying findings to real-world production systems.
  • Architect and Deploy ML at Scale - Develop, optimize, and deploy high-throughput, low-latency ML models, collaborating with engineers to bring solutions into production.
  • Innovate in Generative AI & Causal ML - Explore novel AI techniques, such as LLMs, reinforcement learning, and causal inference, to enhance targeting, personalization, and attribution models.
  • Experimentation and Validation - Design, run, and analyze A/B experiments to test ML-driven strategies, ensuring data-driven decision-making.
  • Mentor and Influence - Provide technical leadership for a team of applied scientists and ML engineers, fostering a culture of innovation and excellence.
MUST HAVE
  • Experience: 4+ years of experience building and deploying machine learning models at scale.
  • Technical Leadership: Demonstrated ability to lead complex, high-ambiguity ML projects from research to production.
  • Academic & Industry Recognition: Masters + At least two peer-reviewed publications in deep learning, NLP, or a related AI domain or a PhD in Computer Science, Machine Learning, Statistics, or a related quantitative field.
  • Deep Expertise in ML & AI: Strong foundation in deep learning, NLP, generative AI, and causal inference.
  • Programming & Frameworks: Proficiency in Python and deep learning frameworks (TensorFlow, PyTorch, LangChain, Llama Index).
  • Scalability & Cloud: Experience with distributed computing, cloud ML platforms (AWS, GCP, or Azure), and real-time AI inference.
GREAT TO HAVE
  • Industry Impact: Publications at top-tier ML/NLP conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, AAAI).
  • Ad Tech Expertise: Experience in digital advertising, real-time bidding, or audience modeling.
  • Generative AI Applications: Hands-on experience with LLMs and multimodal AI applications.
  • Optimization & Personalization: Strong background in reinforcement learning, dynamic pricing, or recommendation systems.
LIFE AT VIANT
Investing in our employee's professional growth is important to us, but so is investing in their well-being. That's why Viant was voted one of the best places to work and some of our favorite employee benefits include fully paid health insurance, paid parental leave and unlimited PTO and more.
Base compensation range: $180,000 - $220,000
In accordance with California law, the range provided is Viant's reasonable estimate of the compensation for this role. Final title and compensation for the position will be based on several factors including work experience and education.
#LI-KW1
About Viant
Viant Technology (NASDAQ: DSP) is an exclusively buy-side, AI-powered advertising platform purpose-built for CTV. Viant uniquely combines proprietary content intelligence, household-level identity resolution, and person-level attention signals to connect advertisers with real customers and drive measurable outcomes across the open internet. Through its award-winning AI solutions, Viant is building the future of autonomous advertising, where AI doesn't just assist the campaign, it delivers real results. Learn more at viantinc.com.
Viant is an equal opportunity employer and makes employment decisions on the basis of merit. Viant prohibits unlawful discrimination against employees or applicants based on race (including traits historically associated with race, such as hair texture and protective hairstyles), religion, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, reproductive health decision making, gender, gender identity, gender expression, age, military status, veteran status, uniformed service member status, sexual orientation, transgender identity, citizenship status, pregnancy, or any other consideration made unlawful by federal, state, or local laws. Viant also prohibits unlawful discrimination based on the perception that anyone has any of those characteristics, or is associated with a person who has or is perceived as having any of those characteristics.
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