Machine Learning Engineer cover letter examples for every experience level — entry, mid, and senior. Includes structure guide, writing tips, common mistakes to avoid, and FAQs to help you write a compelling cover letter that gets responses.
Three full examples for entry, mid, and senior levels. Customize to match your experience.
Dear Hiring Manager, I am writing to express my strong interest in the Machine Learning Engineer position at your company. As a recent graduate with a degree in a relevant field and hands-on experience through internships and academic projects, I am eager to bring fresh energy, a strong work ethic, and a genuine passion for this domain to your team. During my studies and internship at a regional technology firm, I developed a solid foundation in the core competencies required for a Machine Learning Engineer role. I contributed to a cross-functional project that improved a key internal process by 22%, collaborated with senior team members on client-facing deliverables, and earned recognition for delivering my assignments on time and with a high level of accuracy. These experiences taught me how to operate effectively within a structured team environment while also working independently when needed. What draws me to your company specifically is your commitment to building scalable solutions for a global audience. I have followed your product roadmap and believe my background aligns well with the challenges you are currently solving. I am a fast learner who thrives on feedback, and I am confident that I can add value from day one while growing quickly into the responsibilities of a full Machine Learning Engineer contributor. I would welcome the opportunity to discuss how my background and enthusiasm can support your team's goals. Thank you for your time and consideration. Sincerely, [Your Name]
A strong cover letter has five components:
Header — Your name, email, LinkedIn/portfolio URL, and the date. Address it to the hiring manager by name if you can find it (LinkedIn and the company website are good starting points).
Opening paragraph — Mention the specific role and company by name. Lead with your strongest hook: a notable achievement, a specific reason you are excited about this company, or a mutual connection if you have one. Do not open with "I am writing to apply for..." — it wastes the first line.
First body paragraph (match) — Connect your most relevant experience and skills to the key requirements in the job description. Use specific examples and, wherever possible, attach numbers to demonstrate impact.
Second body paragraph (proof) — Add a second proof point or tell a short story about a relevant challenge you navigated. This is where you show your thinking and your character, not just your credentials.
Closing paragraph and sign-off — Restate your interest, include a clear call to action (e.g., "I would welcome the opportunity to discuss..."), and thank the reader. Keep it to two or three sentences. Sign off professionally (Sincerely / Best regards / Warm regards).
Target length: 300–400 words. One page maximum. Recruiters spend an average of seven seconds on a cover letter — make every sentence count.
Customize for every application — A generic cover letter is worse than no cover letter. Mention the company name, the specific role title, and at least one thing you researched about the company. Hiring managers can instantly spot a copy-paste letter, and it signals low effort.
Mirror the job description language — Use the same keywords and phrases the employer used in the posting. This serves two purposes: it helps your application pass any keyword screening, and it signals to the human reader that you understood what they are actually looking for.
Lead with value, not "I am applying" — Your opening sentence should give the reader a reason to keep reading. Open with a relevant achievement, an insight about the company's challenge, or a concise statement of what you bring to the Machine Learning Engineer role. The weakest possible opener is "I am writing to express my interest in..."
Stay under one page — A cover letter longer than one page is almost never read in full. Cut ruthlessly. Every sentence should either prove your fit or advance your story — nothing else.
Proofread twice, then proofread again — A typo in a cover letter signals carelessness — a particularly damaging impression for a Machine Learning Engineer role where attention to detail matters. Read it aloud to catch awkward phrasing. Then read it backwards, sentence by sentence, to catch spelling errors your eye skips over.
Generic opener — Opening with "To Whom It May Concern" or "I am writing to apply for the Machine Learning Engineer position" immediately marks you as someone who did not personalize their application. Address the letter to the hiring manager by name and open with something compelling.
Restating your resume — A cover letter should add context, not duplicate bullet points. Use it to explain why your experience is relevant to this specific company and role, not to list the same things that are already in your resume.
Wrong company name — It happens more often than you would think, and it is an immediate disqualification at many companies. If you are sending multiple applications, double-check every letter before you send it.
No clear call to action — A cover letter without a closing ask leaves the reader unsure what to do next. End with a direct, professional request: "I would welcome the opportunity to speak with you about this role" or "I am happy to provide references or additional work samples at your request."
Too long — If your cover letter exceeds one page, cut it. If you cannot explain why you are a strong fit for a Machine Learning Engineer role in 300–400 words, the problem is usually over-explaining rather than genuine complexity. Edit down to the most essential proof points.
It depends on the company and the application process. Many job boards let you apply without one, and some hiring managers skip them entirely. However, when a cover letter is optional, submitting a strong one is almost always an advantage — especially for competitive Machine Learning Engineer roles where the shortlist is tight. When in doubt, include one.
Three to four paragraphs, totaling 300–400 words, and no longer than one page. Brevity is a feature, not a limitation. A focused, well-crafted 300-word letter will outperform a dense 600-word letter almost every time, because it respects the reader's time and signals that you can communicate concisely — a skill that matters in any Machine Learning Engineer role.
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Dear [Hiring Manager's Name], With five years of progressive experience as a Machine Learning Engineer — including two years in a fully remote, cross-timezone environment — I am excited to apply for this opportunity. I have a track record of delivering measurable results, and I am looking for a role where I can deepen my expertise while contributing to a high-performing team. In my current position, I own the end-to-end delivery of projects that directly impact revenue and operational efficiency. Over the past year, I led an initiative that reduced our team's cycle time by 31% and contributed to a 19% improvement in client satisfaction scores. I also built out a documentation system that onboarded three new team members in half the usual ramp-up time. These outcomes came from a combination of rigorous process thinking, strong stakeholder management, and a relentless focus on what actually moves the needle. What attracts me to your organization is the scale of the problems you are solving and the caliber of your team. I have researched your company extensively and believe my experience with [relevant area] maps directly onto your current priorities. I work well asynchronously, communicate proactively about blockers, and consistently meet or exceed the commitments I make to my team. I would love to speak with you about how my background as a Machine Learning Engineer could contribute to your goals. I am happy to share work samples or references from previous managers upon request. Best regards, [Your Name]
Dear [Hiring Manager's Name], I am reaching out regarding the Senior Machine Learning Engineer opening on your team. With eight years of experience — four of them in senior individual contributor and lead roles — I bring a combination of deep domain expertise, cross-functional leadership, and a track record of building systems and teams that scale. My most recent role involved setting the strategic direction for a Machine Learning Engineer function that grew from two people to nine over eighteen months. I partnered with C-suite stakeholders to define OKRs, implemented a quarterly planning process that improved forecast accuracy by 40%, and personally led a product initiative that drove $2.3M in incremental ARR within its first year. Beyond the numbers, I invested heavily in mentoring mid-level colleagues, three of whom have since been promoted into senior roles. What differentiates me is not just what I have delivered, but how I operate. I am known for bringing clarity to ambiguous situations, building trust across functions quickly, and maintaining high standards without creating unnecessary friction. I have worked in both scrappy startup environments and scaled organizations, and I adapt my approach based on what the situation calls for. Your company's mission and the scope of this role resonate strongly with where I want to focus my next chapter. I would welcome a conversation about how my experience as a senior Machine Learning Engineer could support your team's ambitions. Warm regards, [Your Name]
Yes, whenever possible. Use LinkedIn, the company website, or the job posting to find the hiring manager's name. "Dear [Name]" is significantly warmer and more professional than "Dear Hiring Team" or "To Whom It May Concern." If you genuinely cannot find a name after a reasonable search, "Dear Hiring Manager" is acceptable.
Lead with your transferable skills and the reason you are making the transition. Be direct about it — hiring managers respect honesty more than evasion. Explain specifically what in your background maps to the Machine Learning Engineer role (even if from a different industry), and highlight any self-directed learning, certifications, or portfolio projects that demonstrate your commitment to the new direction.