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Machine Learning Engineer Job Description

Are you confused about what a Machine Learning Engineer does? Machine Learning is a similar role to that of a Data Scientist. However, Machine Learning Engineers focus on designing and running a self-sufficient, automated model automation.

See our free Machine Learning Engineer job description below.

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What is in a Machine Learning Engineers job description?

A Machine Learning Engineer is responsible for designing self-running software to enhance and improve machine learning analysis. They work closely with Data Scientists to analyse data and predict future results. 

Apps like Netflix and Amazon use machine learning to accurately predict habits and recommend similar products. 

Essential parts of a Machine Learning Engineer’s job description:

  • Machine Learning Engineers must have an analytical mindset and be able to properly analyse data sets to improve the artificial intelligence of their learning systems. 
  • They work closely with Data Scientists, meaning ML Engineers will need good communication skills and be able to communicate complex information in an easy to digest way. 
  • Strong candidates will have a lot of experience with programming languages and data tools. 

Machine Learning Engineer Job Description Example

  • Be clear in your description. Know the tasks of the role and ideally who the candidate should be.
  • This means you won’t need to read through too many CVs to find your superstar.
  • You might be tempted to use bullet points in this section, but resist the urge! Tell a story, show off all the cool things they would be responsible for, and get them excited to apply.
  • You should be more focused on your company culture and what your mission is, instead of their daily tasks.

About the role




Are you passionate about data, mathematics, and machine learning? Are you looking to join a company in which you can own and run artificial intelligence and machine learning processes? If so, we have the next role here for you at {company_name}!

We’re currently looking for a Machine Learning Engineer to join our development team, and work with Data Scientists to analyse data. You’ll also improve prediction techniques with the overall aim of improving customer satisfaction and revenue.
Du hast eine Leidenschaft für Daten, Mathematik und maschinelles Lernen? Du bist auf der Suche nach einem Unternehmen, in dem du die Prozesse der künstlichen Intelligenz und des maschinellen Lernens leiten und steuern kannst? Wenn ja, dann haben wir hier bei {Unternehmensname} die nächste Aufgabe für dich!

Wir suchen derzeit einen Machine Learning Engineer (m/w/d) für unser Entwickler-Team. Gemeinsam mit unseren Data Scientists analysierst du die gewonnenen Daten und lässt deine Erkenntnisse in die Weiterentwicklung unserer Prognoseverfahren einfließen.
Ab Tag 1 übernimmst du Verantwortung und unterstützt uns dabei, die Kundenzufriedenheit und den Umsatz zu steigern.
  • This section is all about your candidate's experience and responsibilities. You should outline very clearly what they should expect from the job role, not from the company itself. 
  • You should use language that speaks to the candidate directly, use of “you”, “we” and “our” are all positives. 
  • Hard skills in this section are important, but don’t overlook the significance of soft skills, like communication and being a team player, these can make a huge difference to the way people work alongside each other and gel professionally. 
  • What do you believe in, and what are your core values?

Machine Learning Engineer Responsibilities




Remember these are example responsibilities, not all of these will be relevant to your specific job ad. Please edit the text to match your company’s needs.

• Designing, developing and maintaining machine learning systems.
• Consulting with managers and stakeholders to determine machine learning objectives.
• Researching and experimenting with new, suitable machine learning algorithms and tools.
• Developing machine learning algorithms to analyse large data sets and make future predictions.
• Designing machine learning systems, as well as artificial intelligence software to automate certain predictive models and tasks.
• Extending and enriching machine learning frameworks and libraries.
• Optimising existing machine learning libraries and frameworks.
• Testing, performing analysis, and interpreting the results for future improvements.
• Keeping documentation of the machine learning process.
• Staying up to date with machine learning developments across the industry.
Denken Sie daran, dass es sich hier um beispielhafte Aufgaben für ML-Ingenieure handelt, von denen nicht alle für Ihre spezifische Stellenanzeige relevant sind. Bitte passen Sie den Text an die Bedürfnisse Ihres Unternehmens an.

• Du konzipierst, entwickelst und wartest Systeme für maschinelles Lernen.
• Du berätst dich mit Managern und Stakeholdern, um die Ziele des maschinellen Lernens festzulegen.
• Du erforschst und erprobst neue Algorithmen und Tools für maschinelles Lernen.
• Du entwickelst Algorithmen, um große Datensätze zu analysieren und Prognosen zu erstellen.
• Du entwirfst Machine-Learning-Systeme und Software für künstliche Intelligenz, um bestimmte Prognosemodelle und Aufgaben zu automatisieren.
• Du erweiterst und bereicherst Frameworks und Bibliotheken für maschinelles Lernen.
• Du optimierst bestehende Bibliotheken und Frameworks.
• Du testest, analysierst und interpretierst die Ergebnisse für zukünftige Verbesserungen.
• Du dokumentierst den Prozess des maschinellen Lernens.
• Du hältst dich über die Entwicklungen des maschinellen Lernens in der Branche auf dem Laufenden.
  • This section is essential to finding the candidate with the skills and qualifications that will help them in their job role.
  • This should be clear and concise and set boundaries for submissions.
  • The more information you add to your skills section, the less candidates you’ll have to sift through to find the right one.
  • This would waste both your time and the potential candidate so avoid being wordy as much as possible. Think about what would be an essential part of this role, and what would the applicant need to be successful in the job?

Machine Learning Engineer Requirements




Remember these are example requirements, not all of these will be relevant to your specific job ad. Please edit the text to match your company’s needs.

• Degree in Machine Learning, Artificial Intelligence, Data Science, Mathematics, or a similar field.
• At least 2 years of experience working as a Machine Learning Engineer.
• Proficiency in Python, Java, R and C++.
• Skilled in using big data frameworks such as Hadoop, Spark, Pig, Hive etc.
• Experience working with machine learning frameworks like Theano, Tensorflow, Caffe, etc.
• Extensive and deep knowledge of Machine Learning practises, libraries, data structures, and software architecture.
• A passion for statistics and mathematics, with good communication skills to be able to explain complex ideas and concepts into easy-to-understand conversations.
• Outstanding problem-solving skills with an analytical approach to work.
Denken Sie daran, dass es sich hierbei um Beispielanforderungen für Machine Learning Engineers handelt, die nicht alle auf Ihre spezifische Stellenanzeige zutreffen werden. Bitte passen Sie den Text an die Bedürfnisse Ihres Unternehmens an.

• Du bringst einen Hochschulabschluss in Machine Learning, Artificial Intelligence, Data Science, Mathematik oder einem ähnlichen Bereich mit.
• Du verfügst über mindestens 2 Jahre Berufserfahrung als Machine Learning Engineer.
• Du beherrschst Python, Java, R und C++.
• Du hast Erfahrung im Umgang mit Big-Data-Frameworks wie Hadoop, Spark, Pig, Hive usw.
• Du bist erfahren im Umgang mit Machine Learning Frameworks wie Theano, Tensorflow, Caffe, etc.
• Du verfügst über umfassende und tiefgreifende Kenntnisse von Machine Learning Praktiken, Bibliotheken, Datenstrukturen und Softwarearchitekturen.
• Du hegst eine Leidenschaft für Statistik und Mathematik.
• Du überzeugst mit guten Kommunikationsfähigkeiten, um komplexe Ideen und Konzepte in leicht verständlichen Worten zu erklären.
• Du bringst hervorragende Problemlösungsfähigkeiten und einen analytischen Arbeitsansatz mit.

Need inspiration?

Your job description will not attract talent all on its own. So when putting together your job post, be sure to show what it's like working at your company not just textually but visually!

  • Remember, attracting a candidate is just as much about your company culture as the job role itself. Make sure to include points that make you seem desirable too!
  • Add photos that show off your office space, team events and your team having a great time.
  • Maybe you could include a video of some team members explaining why they love coming to work, or why they like their role.
  • Include a grid of attractive perks with some nice illustrations. Maybe you have unlimited holidays, or you have an attractive parental leave cover - show off!
  • Why not embed your company's Instagram feed to give a IRL overview of the day-to-day.

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