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Remote Machine Learning Engineer New Grad Jobs (NOW HIRING)

Apex Informatics

Machine Learning Engineer

Remote We are seeking an Applied Machine Learning Engineer with a strong focus on practical ... new ideas to the team. • Clear and effective communication with technical and non-technical ...

Capital One

Lead Machine Learning Engineer

New York, NY · On-site +1

$112K - $147K/yr

McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to ...

Capital One

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to ...

Spotify

Machine Learning Engineer

... support new and diverse machine learning architectures. • Work with Data and ML Engineers to support transitioning machine learning models from research and development into production • ...

Capital One

Lead Machine Learning Engineer

Manhattan, NY · On-site +1

$112K - $148K/yr

McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to ...

Capital One

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to ...

Spotify

Machine Learning Engineer

... support new and diverse machine learning architectures. • Work with Data and ML Engineers to support transitioning machine learning models from research and development into production • ...

Pluralsight LLC

Machine Learning Engineer

$121K - $160K/yr

You enjoy learning and are open to new ways of doing things. * You are not afraid to be yourself ... This is a remote role; however, applicants located within 45 miles of our Westlake/Dallas, TX ...

Multi Media LLC

Machine Learning Engineer

$180K - $200K/yr

Fully Remote Optional * Health, Vision, Dental, and Life Insurance for you and any dependents, with ... The range displayed reflects the minimum and maximum range for a new hire across the US for the ...

Hang

Machine Learning Engineer

New York, NY · On-site +1

Stay up-to-date with the latest developments in machine learning and AI, and explore new techniques ... Strong programming skills in Python and familiarity with ML frameworks (like TensorFlow or PyTorch)

Modulate

Machine Learning Engineer

Somerville, MA · On-site +1

$170K - $200K/yr

Stay current on advances in machine learning and identify opportunities to apply new techniques to ... Hybrid work with core in-office days and flexible remote options * Leadership and technical ...

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Remote Machine Learning Engineer New Grad information

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How much do remote machine learning engineer new grad jobs pay per year?

As of Jul 11, 2026, the average yearly pay for remote machine learning engineer new grad in the United States is $72,591.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,000.00 and $83,000.00 per year, depending on experience, location, and employer.

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

To excel as a Remote Machine Learning Engineer New Grad, you need a solid grounding in computer science, statistics, and machine learning algorithms, typically supported by a relevant degree. Familiarity with programming languages like Python, machine learning libraries (e.g., TensorFlow, PyTorch), and experience using version control systems such as Git are essential. Strong problem-solving skills, effective communication, and the ability to work independently are standout soft skills for this remote role. These skills ensure you can develop robust ML models, collaborate efficiently with distributed teams, and deliver impactful solutions in a dynamic environment.

What does a Remote Machine Learning Engineer New Grad do?

A Remote Machine Learning Engineer New Grad is an entry-level professional who designs, builds, and deploys machine learning models while working from a remote location. Their responsibilities typically include preprocessing data, developing algorithms, and collaborating with other team members through digital tools. As a new graduate, they often focus on learning industry best practices, writing code, testing models, and updating existing systems. Strong programming skills, problem-solving ability, and communication are essential for success in this role.

What are some common challenges faced by new graduates starting as remote machine learning engineers, and how can they overcome them?

As a new graduate starting remotely as a machine learning engineer, one common challenge is effectively collaborating with team members and mentors when you can't interact in person. You may also face difficulties in accessing large datasets or compute resources, which can slow down experimentation. To overcome these challenges, it's important to communicate proactively using team channels, schedule regular check-ins with your mentor, and familiarize yourself with your company's remote infrastructure and support systems. Building a habit of documenting your work and asking for feedback early can also accelerate your learning and integration into the team.
What cities are hiring for Remote Machine Learning Engineer New Grad jobs? Cities with the most Remote Machine Learning Engineer New Grad job openings:
What are the most commonly searched types of Machine Learning Engineer New Grad jobs? The most popular types of Machine Learning Engineer New Grad jobs are:
What states have the most Remote Machine Learning Engineer New Grad jobs? States with the most job openings for Remote Machine Learning Engineer New Grad jobs include:
Remote Machine Learning Engineer New Grad jobs near you
Infographic showing various Remote Machine Learning Engineer New Grad job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $72,591 per year, or $34.9 per hour.
Machine Learning Engineer

Machine Learning Engineer

Apex Informatics

Remote

Other

Re-posted 14 days ago

Job description

Applied Machine Learning Engineer | Music Software (Multiple Roles open)
Role: Applied Machine Learning Engineer (Mid - Senior Opportunity) Company: Splash
Employment Type: Contract (3 months +, potential for extension) Location: Remote
We are seeking an Applied Machine Learning Engineer with a strong focus on practical solutions and software development (ability to work on both open-ended research problems and production-ready API code). In this role, you'll leverage off-the-shelf tools and custom-built ML models to solve challenges in music product development and improve manual music processes. This position is ideal for engineers with demonstrable experience building functional, production-ready models and who are passionate about user experience and Product.
Key Responsibilities:
• Design and implement ML algorithms to enhance music creation tools and solve various user problems in line with product goals.
• Identify and implement off-the-shelf ML and AI tools to solve practical problems efficiently.
• Understand the requirements of running models in production, including domain shift testing, QA, A/B testing and so on.
• Maintain production-ready code with considerations for how solutions fit the product and enhance the user experience.
• Build scalable, maintainable data pipelines to handle audio and other unstructured data.
• Collaborate with Product and Engineering teams to ensure seamless integration of ML solutions into production systems.
• Evaluate, deploy, and fine-tune pre-trained models for tasks like audio analysis, melody generation, and process automation.
• Uphold ethical AI practices, ensuring fairness and responsible AI use in music-related applications.
What You Bring
• Proven software development experience, ideally in Python (other languages a plus).
• Experience implementing and deploying ML models, using PyTorch framework.
• Familiarity with AWS cloud environment for deploying and scaling ML solutions.
• Ability to preprocess and model unstructured data, especially audio.
• A strong focus on applied problem-solving, with a practical approach to integrating existing tools and systems.
• A good understanding of music, production, or audio technology processes (or a strong interest in music)
• Familiarity with GenAI architectures like transformers, LLMs, or diffusion models.
• Proactive nature, ability to creatively solve problems you face and bring new ideas to the team.
• Clear and effective communication with technical and non-technical stakeholders.
• Ability to work independently and remotely while collaborating closely with cross-functional teams.

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