Machine Learning Engineer (Remote)
Hired · United States
- Hybrid
- Part-time
- $120,000 / year
- United States
Job highlights
- Work on real-world ML systems evaluation.
- Build and maintain production-grade ML codebases.
- Develop model training and evaluation pipelines.
- Collaborate on AI system design and deployment.
- Requires 3+ years ML engineering experience.
About the role
Machine Learning Engineer (Remote)
We are hiring for one of our clients, seeking an ML Engineer to work on a part-time basis. As an ML Engineer, you will contribute to benchmark-driven evaluation projects focused on real-world machine learning systems. You will work with production-grade ML codebases, model training and evaluation pipelines, and deployment-oriented workflows to help assess and improve the capabilities of advanced AI systems. This role is critical in the AI industry, where our client's cutting-edge research and expertise are applied to help enterprises transform AI from proof of concept into proprietary intelligence.
Key Responsibilities:
- Work with real-world ML codebases to support MLE bench-style evaluation tasks, building, running, and modifying model training, evaluation, and infrastructure workflows.
- Collaborate with cross-functional teams to design, implement, and deploy AI systems that meet the highest standards of performance, reliability, and scalability.
- Develop and maintain production-grade ML codebases, ensuring high-quality, efficient, and maintainable code that meets client requirements.
- Participate in the development of model training and evaluation pipelines, ensuring accurate and reliable results that meet client expectations.
- Work with data scientists and engineers to design and deploy AI systems that integrate with real-world data sources and provide actionable insights.
Required Skills & Qualifications:
- 3+ years of experience in machine learning engineering, with a strong focus on research and development of AI systems.
- Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and programming languages (e.g., Python, R).
- Strong understanding of software development principles, including testing, version control, and continuous integration.
- Experience with cloud-based infrastructure (e.g., AWS, GCP, Azure) and containerization (e.g., Docker).
- Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
More About the Opportunity:
This role offers a unique opportunity to work with a global leader in the AI industry, where you will contribute to cutting-edge research and development of AI systems that transform the way enterprises operate. As an ML Engineer, you will have the opportunity to work on a variety of projects, collaborating with experts in the field and developing your skills in machine learning engineering.
Equal Opportunity Employer:
We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.
Key skills/competency:
- Machine Learning Engineer
- AI Systems
- Model Training
- Evaluation Pipelines
- Python
- TensorFlow
- PyTorch
- AWS
- GCP
- Azure
Skills & topics
- Machine Learning Engineer
- AI
- Python
- TensorFlow
- PyTorch
- AWS
- GCP
- Azure
- Remote
- Part-time
How to get hired
- Tailor your resume: Highlight 3+ years of ML engineering experience, Python, TensorFlow/PyTorch, and cloud platforms.
- Showcase projects: Detail your contributions to real-world ML systems and AI development.
- Demonstrate technical skills: Emphasize your understanding of software development principles like version control and CI/CD.
- Prepare for interviews: Be ready to discuss your experience with model training, evaluation, and deployment workflows.
Technical preparation
Behavioral questions
Frequently asked questions
- What does a Machine Learning Engineer do at Hired?
- As a Machine Learning Engineer at Hired, you will work on benchmark-driven evaluation projects for real-world machine learning systems, contributing to cutting-edge AI development for enterprises.
- What are the primary responsibilities for this Machine Learning Engineer role?
- Key responsibilities include working with ML codebases, building and modifying training/evaluation workflows, collaborating on AI system design, and maintaining production-grade ML code.
- What technical skills are essential for this Machine Learning Engineer position?
- Essential technical skills include 3+ years of ML engineering experience, expertise in frameworks like TensorFlow or PyTorch, proficiency in Python, and familiarity with cloud platforms (AWS, GCP, Azure).
- Is this Machine Learning Engineer role remote?
- Yes, this Machine Learning Engineer position is fully remote, allowing you to work from anywhere.
- What kind of projects will I work on as a Machine Learning Engineer?
- You will work on benchmark-style evaluation tasks, focusing on real-world machine learning systems and helping enterprises transform AI concepts into proprietary intelligence.
- What experience is required for the Machine Learning Engineer role?
- A minimum of 3 years of experience in machine learning engineering, with a strong focus on research and development of AI systems, is required.
- What is the employment type for this Machine Learning Engineer job?
- This Machine Learning Engineer role is described as part-time.