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Machine Learning Engineer New Grad Jobs in Forest, VA

McWane, Inc.

MPI Machine Operator I

Madison Heights, VA · On-site

$16.50 - $19.75/hr

This new division, based in Birmingham, AL, combines all Plant and Industrial Products in a single ... We will make it easier to engineer, specify, and order components for plants. We will provide ...

McWane, Inc.

MPI Machine Operator I

Madison Heights, VA · On-site

$16.50 - $19.75/hr

This new division, based in Birmingham, AL, combines all Plant and Industrial Products in a single ... We will make it easier to engineer, specify, and order components for plants. We will provide ...

BWX Technologies, Inc.

Machinist

Lynchburg, VA · On-site

$33.76/hr

  • Medical

  • Dental

  • Retirement

S.-based company, BWXT is a Fortune 1000 and Defense News Top 100 manufacturing and engineering ... Selects tooling, machine feeds and speeds, lubricants and fixtures. * Perform machining operations ...

Munters

Piping Production Machine Operator

Buena Vista, VA

$15.25 - $19.50/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Work from bill of material (BOM), engineering drawings, prints and work instructions to operate any ... Participate in any variety of meetings and work groups to assist with training new employees ...

Munters

Piping Production Machine Operator

Buena Vista, VA

$15.25 - $19.50/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Work from bill of material (BOM), engineering drawings, prints and work instructions to operate any ... Participate in any variety of meetings and work groups to assist with training new employees ...

Munters

Piping Production Machine Operator

Buena Vista, VA · On-site

$15.25 - $19.50/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Work from bill of material (BOM), engineering drawings, prints and work instructions to operate any ... Participate in any variety of meetings and work groups to assist with training new employees ...

Munters

Piping Production Machine Operator

Buena Vista, VA · On-site

$15.25 - $19.50/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Work from bill of material (BOM), engineering drawings, prints and work instructions to operate any ... Participate in any variety of meetings and work groups to assist with training new employees ...

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Showing results 21-40

All JobsMachine Learning Engineer New Grad JobsMachine Learning Engineer New Grad Jobs in Forest, VA

Machine Learning Engineer New Grad information

See Forest, VA salary details

$26.4K

$108K

$162.3K

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

As of Aug 16, 2026, the average yearly pay for machine learning engineer new grad in Forest, VA is $107,999.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,100.00 and $130,000.00 per year, depending on experience, location, and employer.

What is a machine learning engineer new grad?

A Machine Learning Engineer New Grad job is an entry-level role for recent graduates specializing in machine learning and artificial intelligence. It typically involves developing, training, and deploying machine learning models, working with large datasets, and optimizing algorithms for performance. New grads in this role often collaborate with data scientists, software engineers, and product teams to integrate models into applications. Employers look for proficiency in programming (Python, TensorFlow, PyTorch), a strong foundation in ML concepts, and experience with data processing. This role provides an opportunity to gain hands-on industry experience and grow technical skills in real-world applications.

What are the key skills and qualifications needed to thrive in the machine learning engineer new grad position, and why are they important?

To thrive as a Machine Learning Engineer New Grad, a strong background in computer science, statistics, and mathematics, often supported by a relevant degree, is essential. Familiarity with programming languages like Python or Java, machine learning frameworks (such as TensorFlow or PyTorch), and basic knowledge of data tools and cloud platforms is typically required. Effective problem-solving, eagerness to learn, and clear communication help new grads excel when collaborating on projects and learning from senior team members. These skills and qualities are vital for adapting quickly, contributing to team goals, and building a successful foundation in this fast-evolving technical field.

What are the typical day-to-day tasks of a machine learning engineer new grad?

As a Machine Learning Engineer New Grad, your daily tasks often include collecting and preprocessing data, developing and testing machine learning models, and analyzing model performance. You may work closely with data scientists and software engineers to integrate models into production systems and address real-world business problems. Participating in team meetings, code reviews, and collaborative projects is common, providing opportunities to learn best practices and receive mentorship. This hands-on, varied workload helps you quickly build technical and collaborative skills early in your career.

What cities near Forest, VA are hiring for Machine Learning Engineer New Grad jobs?

Cities near Forest, VA with the most Machine Learning Engineer New Grad job openings:

Machine Learning Engineer New Grad jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Lynchburg, VA • On-site

Other

Re-posted 26 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply