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Internship Infosys Machine Learning Jobs (NOW HIRING)

EarnIn

Machine Learning Intern

Mountain View, CA · Hybrid

$40/hr

This internship will pay $40 per hour, with an expected 40 hours per week for the 12-week program ... of machine learning and deep learning algorithms. Familiarity with training or fine-tuning large ...

Aivra Health LLC

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range: $28 - $45 per hour Visa: H1B Sponsorship Available | STEM OPT, OPT & CPT Candidates Welcome Position ...

Aivra Health LLC

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range: $28 - $45 per hour Visa: H1B Sponsorship Available | STEM OPT, OPT & CPT Candidates Welcome Position ...

Avride

Machine Learning Engineer Internship

Austin, TX · On-site

About the Internship At Avride, ML Engineer Interns operate at the intersection of cutting-edge ... Machine Learning / Math Foundation: Strong understanding of deep learning, reinforcement learning ...

Instacart

OR · On-site

Overview We are looking for interns to join Instacart's Economics team. The ideal candidate for this role will bring a combination of experience in both economics and machine learning. We are in ...

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Internship Infosys Machine Learning information

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How much do internship infosys machine learning jobs pay per year?

As of May 31, 2026, the average yearly pay for internship infosys 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.

How much does Infosys pay interns?

Interns at Infosys, including those in machine learning roles, typically receive stipends that vary based on location, educational background, and internship duration. On average, interns can expect to earn between $1,000 and $2,000 per month. Compensation may also include additional benefits such as mentorship and skill development opportunities.

What is the difference between Internship Infosys Machine Learning vs Data Science Intern?

AspectInternship Infosys Machine LearningData Science Intern
Required CredentialsBasic programming, understanding of ML algorithms, coursework in AI/MLStatistics, programming, data analysis coursework
Work EnvironmentCorporate setting, collaborative teams, project-basedResearch or corporate projects, data analysis tasks
Industry UsageTechnology, consulting, financeTech, finance, healthcare, research
Common Search IntentInternship opportunities, skills required, company-specific infoData analysis skills, project examples, career path

Internship Infosys Machine Learning focuses on applying machine learning algorithms in a corporate environment, often emphasizing programming and model deployment. Data Science Internships cover broader data analysis, statistics, and insights generation. Both roles require foundational technical skills, but Machine Learning internships are more specialized in AI/ML techniques, while Data Science internships encompass a wider range of data handling and analysis tasks.

What cities are hiring for Internship Infosys Machine Learning jobs? Cities with the most Internship Infosys Machine Learning job openings:
What are the most commonly searched types of Infosys Machine Learning jobs? The most popular types of Infosys Machine Learning jobs are:
What states have the most Internship Infosys Machine Learning jobs? States with the most job openings for Internship Infosys Machine Learning jobs include:
Internship Infosys Machine Learning jobs near you
Machine Learning Intern

Machine Learning Intern

EarnIn

Mountain View, CA • Hybrid

$40/hr

Other

Posted 22 days ago

Job description

POSITION SUMMARY

As a Fintech company where Machine Learning (ML) is one of the key drivers of growth, our operations highly rely on machine learning models, from business decisions to customer experiences. Therefore, building and deploying state-of-the-art machine learning systems to drive impact via our data capabilities is key. To guarantee the success of machine learning systems, we need to provide a detailed formulation, extensive experimentation, and to transform ML models into high-performance production-level code, including not only implementing sophisticated machine learning algorithms but also robustness monitoring and system logging/alarming. 

 We seek talented and motivated students and recent graduates with a strong background in machine learning, deep learning, language models and generative AI, programming, and data analysis to join our 12-week Machine Learning Internship Program. You will work on real-world projects, collaborate with experienced professionals, gain valuable experience in the fintech industry, and realize business and social impact. This role requires hybrid work from our Mountain View office, with 2 days a week in person. This internship will pay $40 per hour, with an expected 40 hours per week for the 12-week program. We are unable to provide visa sponsorship or immigration support for this position.  

WHAT YOU'LL DO 

  • Train and fine-tune large-scale Foundation Models to support various fintech product use cases
  • Work with a large dataset, including structured and unstructured data
  • Help in ensuring improvements in our current ML systems via model, data, or experimentation upgrades
  • Gain hands-on experience with a wide array of technologies, including PyTorch, AWS, Kafka, Databricks, etc

WHAT WE'RE LOOKING FOR

  • Actively pursuing a Master's or PhD in Computer Science, Information Technology, or a related field
  • Located in Mountain View, or have the ability to relocate there, for the duration of the internship 
  • Strong understanding of statistical models, familiarity, and in-depth understanding of machine learning and deep learning algorithms. Familiarity with training or fine-tuning large-scale models, Sequence Transformer models 
  • Interest in multimodal or multitask learning across structured, sequential, and behavioral data
  • Familiarity with AI tools, harness engineering, agentic workflow, etc.
  • Hands-on programming experience in Python and ML frameworks such as PyTorch
  • Equipped with good verbal and written communication skills
  • A background demonstrating strong problem-solving skills
  • Committed to taking ownership of projects, conducting thorough investigations, and driving initiatives to conclusion

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