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Machine Learning Software Engineer Intern Jobs in Nevada

As a Staff Machine Learning Engineer, you will serve as a technical leader defining the roadmap and ... strong software engineering fundamentals (system design, CI/CD, containerization) * Broad ML ...

As a Staff Machine Learning Engineer, you will serve as a technical leader defining the roadmap and ... strong software engineering fundamentals (system design, CI/CD, containerization) * Broad ML ...

You'll be embedded with senior engineers, learning AWS fundamentals while directly contributing to ... Currently pursuing a degree in Computer Science, Information Technology, Software Engineering, or a ...

As a Staff Machine Learning Engineer, you will serve as a technical leader defining the roadmap and ... strong software engineering fundamentals (system design, CI/CD, containerization) * Broad ML ...

Senior Embedded Software Engineer

Las Vegas, NV ยท On-site +1

$118.40K - $155.20K/yr

Motional's onboard autonomous driving system team works at the intersection of software engineering, machine learning, sensors, and hardware compute platforms to evolve Motional's next-generation on ...

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Machine Learning Software Engineer Intern information

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.
What are the most commonly searched types of Machine Learning Software Engineer jobs in Nevada? The most popular types of Machine Learning Software Engineer jobs in Nevada are:
Senior Software Engineer (Architecture)

Senior Software Engineer (Architecture)

Targeted Talent

Las Vegas, NV โ€ข On-site

$117K - $154.20K/yr

Full-time

Medical, PTO

Posted yesterday


Job description

About the Company:
Our client is a company building the world's highest- performance pure digital AI inference chip.
They are seeking a Software Architect to lead their software efforts and advance the software stack that includes ML frameworks, compilers, libraries, and runtime. As a Software Architect, you will be responsible for designing and developing software that interacts with their chip, collaborating with hardware and software engineers, and optimizing software for highly parallel architectures to maximize performance and efficiency.

Responsibilities:

  • Advance the state of the art in compiler and runtime technology for delivering high-performance acceleration of AI workloads across a variety of neural network architectures.
  • Research and design new software and hardware AI solutions, involving simulators, optimizing compilers, code generators, and runtime execution frameworks for deep learning accelerators.
  • Evaluate various trade-offs of different parallelization strategies such as performance, power, energy, and memory consumption.
  • Enhance AI software tools to support the latest and greatest DNNs emerging from the research community and industry.
  • Keep up with the fast-paced development happening in the industry and academia to continuously enhance our products.
  • Work closely with other software and hardware engineers to develop the next generation of deep learning software.
  • Collaborate with architects and hardware engineers to co-design future accelerators.

Preferred Skills & Experience:

  • 10+ years of experience developing software for a variety of highly parallel architectures.
  • Previous roles include experience with optimizing algorithms for hardware acceleration machine learning accelerators, spatial architectures, or GPUs.
  • Strong problem-solving skills and the ability to resolve complex issues with a high level of ambiguity.
  • Understanding of Deep Learning fundamentals.
  • Strong development skills in C/C++, Python.
  • Superb soft skills: ability to work efficiently and effectively in a group environment, and influence a cross-functional team without having direct managerial authority.
  • Computer Science, Engineering, or related degree; preferably MS or PhD.
  • Driven and self-directed.

Perks:

  • 20 vacation days
  • Strong health and extended health benefits
  • Unlimited sick days
  • Stock options

Please apply even if you don't check all the boxes. We are an inclusive and diverse company and welcome applicants from all backgrounds.


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About Targeted Talent

Sourced by ZipRecruiter

Your single source for HR professional services, we offer job seekers specialized employment services, spanning contract, permanent positions, and project solutions for highly specialized and managerial level talent needs. Our team of specialized recruiters and consultants abilities extend far beyond resume or career counseling. With hundreds of collaborators strategically located throughout the country, our organization possess the local market knowledge and industry relationships that make successful geography-specific reach possible.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Vancouver, BC, CA