Embarking on your job hunt in the field of machine learning, you've polished your resume and are ready to impress—until you hit a snag: the cover letter. Crafting one that complements your resume without rehashing it can be tricky. You know it's your chance to showcase a standout achievement in a compelling narrative, all while maintaining formality and steering clear of worn-out phrases. And fitting this all into a single page? That's the art of writing a machine learning cover letter that we're about to dive into.
- Create a machine learning cover letter to persuade the recruiters you're the best candidate for the role;
- Use industry-leading machine learning cover letter templates and examples to save time;
- Dedicate your machine learning cover letter space to your best achievement;
- Make sure your machine learning cover letter meets recruiters' expectations and standards.
Avoid starting at the blank page for hours by using Enhancv's AI - just upload your resume and your machine learning cover letter will be ready for you to (tweak and) submit for your dream job.
If the machine learning isn't exactly the one you're looking for we have a plethora of cover letter examples for jobs like this one:
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Machine learning cover letter example
Carla Jensen
Ferney, SD
+1-(234)-555-1234
help@enhancv.com
- Emphasizing project management and leadership skills by mentioning the experience of leading an ML team and deploying machine learning pipelines, implying the ability to oversee complex projects and teams.
- Highlighting technical skills and specialized tools such as Pytorch, ski-kit-learn, and Numpy to demonstrate practical knowledge and expertise that is directly applicable to the machine learning engineer role.
- Presenting quantifiable achievements, such as improving model accuracy by 65%, to provide evidence of the candidate's impact and effectiveness in previous positions and potential value to the employer.
- Expressing familiarity with the company's mission and products, showing a genuine interest and understanding of where the candidate can fit within the company's ecosystem and contribute to its goals.
The format of your machine learning cover letter: structure, fonts, margins, and more
Your machine learning cover letter should include a header (with your name, position, and date); a greeting and introductory paragraph; a body and closing paragraphs; and an optional signature.
Remember that you're writing your machine learning cover letter for recruiters - as the Applicant Tracker System won't scan this content.
Here are a few more tips and tricks to keep in mind when formatting your machine learning cover letter:
- Use the same font in your machine learning cover letter and resume. We recommend modern fonts, e.g. Lato and Rubik, to help you stand out, instead of the stereotypical Arial and Times New Roman.
- Each paragraph should have single spacing, which is already set up for you in our cover letter templates.
- Our cover letter builder follows industry standards for your machine learning cover letter formatting - with a one-inch margin, surrounding your content.
- Always export your machine learning cover letter in PDF to ensure the image or text quality stays the same and your writing isn't moved about.
The top sections on a machine learning cover letter
- Header: This includes your contact information, date, and the employer's details, ensuring your cover letter appears professional and providing the recruiter with necessary information to contact you.
- Greeting: Personalize the salutation by addressing the recruiter or hiring manager directly, which shows attention to detail and a genuine interest in the position.
- Introduction: Briefly introduce yourself and state the machine learning position you're applying for, capturing the recruiter’s attention by expressing enthusiasm and relevant qualifications for the role.
- Body: Dive into your machine learning experience, projects, and technical skills, detailing how they align with the job requirements, and demonstrate your problem-solving capabilities and experience with data sets or algorithms.
- Closing: Summarize your qualifications, express your eagerness to contribute to the team, and include a call to action, such as a willingness to further discuss your fit for the role in an interview.
Key qualities recruiters search for in a candidate’s cover letter
- Strong mathematical and statistical knowledge: Crucial for understanding and developing algorithms and models that are the backbone of machine learning systems.
- Proficiency in machine learning frameworks and libraries: Familiarity with tools like TensorFlow, PyTorch, Scikit-learn, etc., is important for implementing efficient and scalable solutions.
- Practical experience with data preprocessing and analysis: Ability to handle, clean, and analyze large datasets to extract meaningful insights is fundamental in machine learning projects.
- Demonstrated history of model development and validation: Recruiters look for experience in building and fine-tuning models to ensure their performance and generalizability.
- Knowledge of computer science and programming skills: Coding expertise, particularly in languages like Python, R, or Java, is essential to write the algorithms and manage the data processes.
- Problem-solving skills and creative thinking: Being able to approach complex problems, devise innovative solutions, and continuously improve existing systems is a highly valued trait in a machine learning professional.
How to personalize your machine learning cover letter greeting
Before you start writing your machine learning cover letter, take the time to find out who is recruiting for the role.
Search for the recruiter's name on LinkedIn or the corporate website to address them personally in your machine learning cover letter salutation.
What if you can't find out who's recruiting for the role?
Always aim to avoid the very impersonal "Dear Sir/Madam" - instead, opt out for "Dear HR Team" or "Dear Hiring Manager" to make a better first impression.
List of salutations you can use
- Dear Hiring Manager,
- Dear [Team Name] Hiring Team,
- Dear [Company Name] Recruiter,
- Dear Dr. [Last Name],
- Dear Mr./Ms. [Last Name],
- Dear [Job Title] Search Committee,
The machine learning cover letter intro: aligning your interest with the company culture
You only have one chance at making a memorable first impression on recruiters with your machine learning cover letter.
Structure your introduction to be precise and to include no more than two sentences.
Here are some ideas on how to write a job-winning machine learning cover letter introduction:
- get creative - show off your personality from the get-go (if this aligns with the company culture);
- focus on your motivation - be specific when you say what gets you excited about this opportunity.
What to write in the body of your machine learning cover letter
Now that you've got your intro covered, here comes the heart and soul of your machine learning cover letter.
It's time to write the middle or body paragraphs. This is the space where you talk about your relevant talent in terms of hard skills (or technologies) and soft (or people and communication) skills.
Keep in mind that the cover letter has a different purpose from your machine learning resume.
Yes, you still have to be able to show recruiters what makes your experience unique (and applicable) to the role.
But, instead of just listing skills, aim to tell a story of your one, greatest accomplishment.
Select your achievement that:
- covers job-crucial skills;
- can be measured with tangible metrics;
- shows you in the best light.
Use the next three to six paragraphs to detail what this success has taught you, and also to sell your profile.
Ending your machine learning cover letter: a closing paragraph with a promise
If you're thinking of finishing your machine learning cover letter with a "Sincerely yours" or "Thanks for the consideration," you need to read on.
End the final paragraph of your machine learning cover letter with a twist:
- a promise - of how you'd grow as a professional, part of the company, or improve organizational metrics;
- a call to action - prompt interviewers with some follow-up actions if they are interested in your profile.
A personalized ending would surely help you to stand out by being a memorable candidate.
Machine learning cover letter advice for candidates with no experience
If you're worried about writing your Machine Learning cover letter and have no professional experience, we sure have some advice for you.
Turn recruiters' attention to your transferable or relevant skills gained thanks to your life and work experience.
Instead of writing about past jobs, focus on one achievement (whether from your volunteering experience, education, etc.) and the skills it has helped you build.
Alternatively, you could focus your Machine Learning cover letter on your career objectives and goals. Always remember to make those relevant to the job you're applying for by detailing how you see yourself growing as part of the company.
Recruiters would be way more impressed with candidates who fit the job profile and can bring about plenty of skills and vision to the table.
Key takeaways
Writing your machine learning cover letter doesn't need to turn into an endless quest, but instead:
- Create an individual machine learning cover letter for each role you apply to, based on job criteria (use our builder to transform your resume into a cover letter, which you could edit to match the job);
- Stick with the same font you've used in your resume (e.g. Raleway) and ensure your machine learning cover letter is single-spaced and has a one-inch margin all around;
- Introduce your enthusiasm for the role or the company at the beginning of your machine learning cover letter to make a good first impression;
- Align what matters most to the company by selecting just one achievement from your experience, that has taught you valuable skills and knowledge for the job;
- End your machine learning cover letter like any good story - with a promise for greatness or follow-up for an interview.
