What makes this cover letter great
This cover letter is a great example because it is tailored to the Machine Learning Engineer role, highlights relevant technical skills and tools, and provides specific, quantifiable achievements. It demonstrates both technical expertise and teamwork, showing the candidate's ability to collaborate and deliver business value. The letter also conveys passion for the field and a commitment to continuous learning, which are highly valued in fast-evolving tech roles.
Cover letter example for Machine Learning Engineer
Strong cover letter
I am excited to apply for the Machine Learning Engineer position. With a strong background in computer science and hands-on experience in designing, developing, and deploying machine learning models, I am confident in my ability to contribute effectively to your team. I hold a Master’s degree in Computer Science from the University of California, Berkeley, where I specialized in artificial intelligence and data science. My technical skills include proficiency in Python, TensorFlow, PyTorch, and scikit-learn, as well as experience with cloud platforms such as AWS and Google Cloud.
In my previous role at DataTech Solutions, I led a team to develop a real-time recommendation engine that increased user engagement by 25%. I have experience working with large datasets, performing data preprocessing, feature engineering, and model optimization. I am adept at collaborating with cross-functional teams, including data engineers and product managers, to deliver scalable machine learning solutions that align with business objectives.
I am passionate about staying up-to-date with the latest advancements in machine learning and AI, and I regularly participate in Kaggle competitions and contribute to open-source projects. My strong analytical skills, attention to detail, and commitment to continuous learning make me a valuable asset to your organization. I am eager to bring my expertise and enthusiasm to your team and help drive innovative solutions that make a real impact.
Weak cover letter
I am applying for the Machine Learning Engineer job. I have a degree in computer science and know some programming languages. I have worked with data before and am interested in machine learning. I am a hard worker and would like to join your company. Thank you for considering my application.
Cover letter best practices
Tailor Each Cover Letter to being a Machine Learning Engineer
Avoid generic letters. Customize your content to reflect the specific job description, company values, and how your experience aligns with their needs.
Use a Professional Format
Stick to a clean, business-like layout with consistent fonts, spacing, and margins. Match the formatting of your resume for a cohesive application package.
Address the Right Person
Whenever possible, address the letter to a specific individual (e.g., “Dear Ms. Johnson”). Use LinkedIn or the company website to find the hiring manager’s name.
Start with a Strong Opening
Capture attention in the first paragraph by stating the position, expressing genuine interest, and previewing the value you’ll bring to the role.
Highlight Relevant Achievements
Focus on 1–2 specific accomplishments that relate directly to the job. Use metrics, outcomes, or project details to demonstrate impact.
Show You Understand the Company
Demonstrate knowledge of the company’s mission, recent news, or culture. This shows you’ve done your homework and care about where you work.
Explain Career Transitions Briefly
If you’re changing industries, roles, or returning to work, provide context for your move and highlight transferable skills.
Keep It Concise and Focused
Limit your letter to one page and avoid repeating your resume. Aim for clarity and brevity—ideally 3–4 paragraphs.
Use a Confident, Professional Tone
Write assertively without arrogance. Avoid overused buzzwords unless supported by real examples.
Close with a Clear Call to Action
End with a confident statement of interest, and invite the employer to connect or schedule an interview.
Proofread Carefully
Typos and grammatical errors can ruin a strong letter. Review it multiple times, and consider reading it out loud or asking someone else to check it.