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Machine Learning Software Engineer Intern Jobs in Newark, NJ

Microsoft

Machine Learning Software Engineer

New York, NY · On-site

$188K - $304.20K/yr

Overview As a Member of Technical Staff - Software Engineer & Machine Learning, you will work building AI Insights, a Copilot analytics product that enables our internal stakeholders to move from ...

GPTZero

Machine Learning Intern

New York, NY · On-site

What we're looking for At GPTZero, we ensure that machine learning models are created for the ... excellent software engineer. You'll be working on a fast-paced team of passionate builders ...

Point72

Machine Learning Engineer

New York, NY

Experience with machine learning software libraries such as TensorFlow or PyTorch * Experience implementing Agent or Context engineering is strongly preferred * Experience with natural language ...

Point72

Machine Learning Engineer

New York, NY · On-site

Experience with machine learning software libraries such as TensorFlow or PyTorch * Experience implementing Agent or Context engineering is strongly preferred * Experience with natural language ...

Point72

Machine Learning Engineer

Manhattan, NY · On-site

... with machine learning software libraries such as TensorFlow or PyTorch • Excellent analytical ... Context engineering is strongly preferred • Experience with natural language processing ...

N1

Software Engineer Intern (Fullstack)

New York, NY · On-site

Position Overview: We're seeking a Software Engineer intern, Full-Stack to join our engineering team full-time. This role is involves developing front-end, server-side, and database applications with ...

Forhyre

Machine Learning Engineer

New York, NY

If you also have knowledge of data science and software engineering, we'd like to meet you. Your ... Design machine learning systems * Research and implement appropriate ML algorithms and tools

Attentive

Senior Machine Learning Engineer

Manhattan, NY · On-site

$115.10K - $158K/yr

They are seeking a Senior Machine Learning Engineer to build, scale, and operate production-grade ... Required : • 6+ years of professional experience building production machine-learning software ...

Attentive

Senior Machine Learning Engineer

Manhattan, NY · On-site

$115.10K - $158K/yr

As a Senior Machine Learning Engineer, you will play a critical role in building, scaling, and ... Required : • 6+ years of professional experience building production machine-learning software ...

Meta

Software Engineer, Machine Learning

New York, NY

$184K/yr

Software Engineer, Machine Learning Responsibilities: * Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences * Implement ...

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How much do machine learning software engineer intern jobs pay per hour?

As of May 29, 2026, the average hourly pay for machine learning software engineer intern in Newark, NJ is $26.58, according to ZipRecruiter salary data. Most workers in this role earn between $21.63 and $30.14 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Software Engineer Intern, and why are they important?

To thrive as a Machine Learning Software Engineer Intern, you need a solid understanding of programming (especially Python), machine learning algorithms, and data structures, ideally supported by coursework or relevant projects. Familiarity with frameworks such as TensorFlow or PyTorch, experience using version control systems like Git, and knowledge of cloud platforms are highly valuable. Critical thinking, eagerness to learn, and effective communication help interns collaborate with teams and adapt to new challenges. These skills and qualities are crucial for developing robust ML solutions, integrating with production systems, and contributing meaningfully to real-world projects.

What types of projects and responsibilities can a Machine Learning Software Engineer Intern expect during their internship?

As a Machine Learning Software Engineer Intern, you can expect to work on projects that involve data preprocessing, model development, and evaluation under the guidance of experienced engineers and data scientists. Interns often contribute to building and optimizing machine learning pipelines, implementing algorithms, and supporting the deployment of models into production environments. Collaboration is key; you'll likely work closely with cross-functional teams, including product managers and software developers, to ensure your solutions align with business goals. The internship is a great opportunity to gain hands-on experience with industry-standard tools and frameworks while receiving mentorship and feedback to help advance your technical skills.

What does a Machine Learning Software Engineer Intern do?

A Machine Learning Software Engineer Intern assists in the development, testing, and deployment of machine learning models and algorithms. Their responsibilities typically include data preprocessing, model training, evaluation, and collaborating with senior engineers to integrate machine learning solutions into software products. Interns may also contribute to research, documentation, and code optimization, gaining hands-on experience with real-world machine learning projects. This role provides a valuable opportunity to apply academic knowledge in a professional setting and learn from experienced engineers.
Machine Learning Software Engineer Intern jobs near you
Machine Learning Software Engineer

Machine Learning Software Engineer

Microsoft

New York, NY • On-site

$188K - $304.20K/yr

Full-time

Posted 12 days ago

Microsoft rating

8.6

Company rating: 8.6 out of 10

Based on 125 frontline employees who took The Breakroom Quiz

47th of 183 rated software companies

Job description

Overview
As a Member of Technical Staff - Software Engineer & Machine Learning, you will work building AI Insights, a Copilot analytics product that enables our internal stakeholders to move from "What happened?" to "Why did it happen?" in minutes. You'll design and implement AI-driven trend detection, cohort analysis, and drill-down workflows that connect metrics to real user conversations. n developing AI based insights on large scale multi modal Copilot data part of the Microsoft AI (MAI) organization. We're looking for a experienced Machine Learning engineer with strong hands-on skills in machine learning, data platforms, and distributed systems to lead the development of AI Insights, a next-generation Copilot analytics product. The right candidate takes the initiative and enjoys building world-class consumer experiences and products in a fast-paced environment.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
  • Build scalable data pipelines for telemetry ingestion, anomaly detection, and cohort segmentation.
  • Implement ML-driven insights (prompted classifiers, anomaly detection) and integrate them into dashboards and APIs.
  • Develop secure, compliant workflows for handling production logs and conversation data.
  • Enable drill-down capabilities linking quantitative metrics to qualitative evidence for actionable context.
  • Collaborate with PMs and DS to refine hypotheses and deliver intuitive, high-performance interfaces.
  • Own technical strategy for trend detection, cohort analysis, and drill-down workflows linking quantitative metrics to qualitative conversation evidence.
  • Prototype and productionize ML models for anomaly detection and predictive insights.
  • Ensure compliance and security for data handling across telemetry, logs, and conversation datasets.
  • Collaborate with PMs, data scientists, and UX to define roadmap and deliver intuitive, high-impact workflows.
  • Independently write efficient, readable, extensible code and model pipelines.
  • Commit to a customer-oriented focus by acknowledging customer needs and perspectives, validating customer perspectives, focusing on broader customer context, and serving as a trusted advisor.
  • Hands-on with observability (metrics, tracing, logs) and model evaluation frameworks.

Qualifications
Required Qualifications:
  • Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR equivalent experience.

Preferred Qualifications:
  • Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
  • Proven experience leading small engineering and machine learning teams, and collaborating effectively with cross-functional stakeholders including product managers, UX designers, and security specialists.
  • Demonstrated interest in Responsible AI.

#MicrosoftAI
#mai-datainsights
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Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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About Microsoft

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Our infrastructure is comprised of a large global portfolio of more than 100 datacenters and 1 million servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Redmond, WA, US

Year founded

1975

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