Machine Learning Engineer
MeeBoss
Manhattan, NYFresher4m agovia LinkedIn
This job at a glance
- Who can apply
- New grads, no experience needed · Bachelor's degree
- Must know
- PythonStatisticsData analysis
- Nice to have
- Machine learningPyTorchTensorFlowscikit-learn
- Work
- On-site in Manhattan
- Pay
- Not stated by the employer.
- Skill demand
- Python86%Machine learning84%Statistics38%Data analysis14%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 5, 2026 · still open
Sign in free to see which of these skills your resume already shows.
About the Role
This role is shared by MeeBoss on behalf of Amazon.
Key Responsibilities
- Clean, analyze, and prepare datasets to ensure high-quality input for machine learning models.
- Assist in developing, training, and evaluating machine learning models for various applications.
- Build experiments and prototypes utilizing Python and popular machine learning libraries.
- Support the deployment of models, monitoring their performance, and implementing improvements.
- Document processes and share findings with the team to enhance collaborative efforts.
Requirements & Tech Stack
- Familiarity with Python and foundational software development practices is essential.
- Coursework or project experience in machine learning, statistics, or data analysis is required.
- Knowledge of tools such as PyTorch, TensorFlow, or scikit-learn is advantageous.
- Experience with cloud platforms, SQL, data pipelines, or model deployment is a plus.
Qualifications
- Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
- Strong problem-solving, communication, and teamwork skills are necessary for success.
- Demonstrated curiosity and a willingness to learn from constructive feedback.
- A portfolio showcasing class, research, or personal machine learning projects is highly desirable.