Job Title: Entry Level Machine Learning Engineer

Location: COMPANY_NAME, United States

Job Description:

COMPANY_NAME is seeking an entry level Machine Learning Engineer to join our team. The ideal candidate will have a passion for machine learning and a strong desire to develop new and innovative solutions using data and machine learning techniques. As a Machine Learning Engineer, you will work with a team of engineers and data scientists to design, implement, and deploy machine learning models in real-world applications.

Responsibilities:

- Work with team members (engineers and data scientists) to design, develop and deploy machine learning models using state-of-the-art tools and techniques.
- Collaborate with data scientists to identify features, preprocess data and build datasets needed for model training.
- Create and optimize models to enhance performance metrics (e.g. accuracy, F1, AUC, etc.), scaling up to handle large dataset and input dimensions.
- Collaborate with engineers to build end to end pipelines to train, validate, optimize models and make prediction/extraction on new data.
- Identify and research new deep learning and machine learning approaches and methodologies, and implement them to improve model performance in production.
- Help maintain our existing machine learning infrastructure and contribute to developing new tools and techniques.

Requirements:

- Bachelor's or Master's degree in Computer Science, Engineering, or related technical field.
- 0-2 years of experience in machine learning and data analysis.
- Experience in programming (Python, Java, C++ or others), and familiarity with modern development workflow (ideas such as git, unit testing, code review, etc.)
- Experience with one or more of the machine learning frameworks (PyTorch, TensorFlow, Keras).
- Strong analytical and problem-solving skills.
- Proficiency in statistics and linear algebra.
- Good written and verbal communication skills.
- Must be able to work collaboratively with cross-functional teams.

Desirable skills and Qualifications:

- Experience with distributed computing (e.g. Apache Spark, Hadoop, etc.)
- Experience with data management (SQL, etc.).
- Experience with cloud computing providers (AWS, Azure, GCP).
- Knowledge of NLP or Computer Vision tasks or domains.
- Familiarity with web technologies (HTML, CSS, JavaScript, js frameworks, etc.).

Culture:

At COMPANY_NAME, we value a culture of innovation, collaboration, continuous learning, and diversity. We cultivate a supportive, non-hierarchical work environment that encourages all team members to contribute their ideas and expertise. We support our employees' ongoing personal and professional development through training, workshops, conferences, and mentoring programs. Our goal is to build an inclusive workplace where everyone can thrive and reach their full potential.

We look forward to your application!
Dear Hiring Manager,

I am writing to express my interest in the entry-level Machine Learning Engineer position at COMPANY_NAME in the United States. As APPLICANT_NAME, I am a recent graduate of Computer Science with a passion for machine learning and data analysis. I am confident that my technical background, programming skills, and analytical mindset make me a perfect fit for this role.

I am excited about the opportunity to work with a team of experienced engineers and data scientists to develop and deploy machine learning models using state-of-the-art tools and techniques. Through this position, I hope to gain hands-on experience in designing and implementing machine learning solutions for real-world applications.

I have experience in programming languages such as Python and Java, and I am familiar with modern development workflows such as Git and unit testing. In addition, I have worked with some of the popular machine learning frameworks such as TensorFlow and Keras, and I have a good understanding of statistics and linear algebra.

As a collaborative team player, I believe I possess strong analytical and problem-solving skills. I am confident that I can work with other team members to identify features, preprocess data, and build datasets needed for model training. I can create and optimize models to enhance performance metrics, such as accuracy, F1, AUC, etc., and can scale them up to handle large datasets and input dimensions. Further, I can work together with other engineers to build end-to-end pipelines for training, validating, optimizing models, and making predictions/extractions on new data.

What makes this role particularly unique is the opportunity to research new deep learning and machine learning approaches and methodologies and implement them to improve model performance in production. I am eager to learn about the latest techniques and tools in the field of machine learning and to apply them to real-world problems.

Regarding culture, I appreciate that COMPANY_NAME values a culture of innovation, collaboration, continuous learning, and diversity. I am excited to work in a supportive, non-hierarchical work environment that encourages all team members to contribute their ideas and expertise. I believe that I can add value to the team by bringing my strong work ethic, positive attitude, and willingness to learn and grow as a member of the team.

Thank you for considering my application. I look forward to the opportunity to learn more about this position and how I can make a valuable contribution to the team at COMPANY_NAME.

Sincerely,

APPLICANT_NAME.