Associate Machine Learning Engineer
Free account needed to apply or save. It takes a minute, and we'll bring you right back to this job.
How well do you match this job?
Key details
- Location
- United States
- Work style
- Remote
- Level
- Entry level
- Job type
- Full-time
- Experience
- 0–2 yrs
- Function
- Data & ML
- Focus area
- AI / ML
- Posted
- 6h ago
Skills
About the role
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Associate Machine Learning Engineer based in the United States.
In this fully remote role, you will contribute to the development and deployment of machine learning solutions that support data-driven decision-making and enhance digital products used by millions of users. You will work alongside experienced machine learning engineers, data scientists, data engineers, and cloud infrastructure specialists to build scalable AI and machine learning capabilities. Your responsibilities will include supporting automated data pipelines, model deployment processes, and cloud-based engineering infrastructure. You will gain hands-on experience with modern technologies while contributing to innovative projects that improve product performance, reliability, and customer experiences. This is an excellent opportunity for an early-career engineer passionate about AI, software development, and continuous learning to grow within a collaborative, technology-driven environment.
Accountabilities:
-
Collaborate with Machine Learning Engineers, Data Scientists, Data Engineers, DevOps specialists, and other technical teams to understand requirements and support the development of machine learning solutions aligned with business objectives.
-
Assist in building, testing, maintaining, and improving software components and infrastructure that support machine learning applications.
-
Contribute to the development and maintenance of automated data pipelines, machine learning workflows, and model deployment processes.
-
Support cloud-based machine learning solutions using technologies such as AWS, Databricks, and Apache Spark.
-
Participate in continuous integration and continuous delivery (CI/CD) processes, helping improve automation, deployment reliability, and operational efficiency.
-
Monitor machine learning applications, investigate technical issues, and collaborate with senior engineers to identify and implement solutions.
-
Help maintain scalable infrastructure and tooling that enable AI and machine learning capabilities across the organization.
-
Contribute to technical discussions, cross-functional meetings, and project planning by sharing feedback, asking relevant questions, and helping clarify requirements.
-
Document technical solutions, development processes, and lessons learned to facilitate knowledge sharing and improve team practices.
-
Follow established software engineering, machine learning, security, data governance, and development standards.
-
Continuously strengthen technical expertise through mentorship, training, experimentation, and hands-on project experience.
-
Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Machine Learning, or another related quantitative discipline.
-
0–2 years of experience in machine learning engineering, software engineering, data engineering, or a related technical field.
-
Internship experience, academic research, capstone projects, or equivalent practical experience in artificial intelligence, machine learning, or software development is preferred.
-
Experience using Python through academic projects, internships, research, or professional work.
-
Foundational understanding of machine learning concepts, algorithms, model development, and deployment processes.
-
Familiarity with software engineering fundamentals, including version control, software testing, debugging, and code review practices.
-
Basic understanding of data engineering principles, data structures, and automated pipeline development.
-
Exposure to cloud computing platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP) is an advantage.
-
Strong analytical thinking and problem-solving abilities, with the capacity to investigate technical challenges and develop practical solutions.
-