Machine Learning Engineer Resume Sample
Torrey Hermiston
7421 Dickinson Tunnel,
Los Angeles,
CA
+1 (555) 747 7305
Work Experience
Principal Machine Learning Engineer
07/2015
-
PRESENT
Dallas, TX
- Strong knowledge of probability and statistics
- Knowledge of machine learning libraries like Spark MLlib, Mahout, and JSAT
- Exposure to building data models and applying learning algorithms in both supervised and semi-supervised learning projects
- Satisfy one of: (a) PhD in Machine Learning, Statistics, Optimization or related field, with experience building production systems, or (b) MS in CS with 4+ years of experience in working with large data-driven projects, or © BS in CS with 6+ years of experience in the industry with at least 3 years in data science / machine learning
- Solid mathematical knowledge; understanding of machine learning, statistics
- Strong data-driven thinking
- Bachelors in Computer Science, Operations Research, Statistics or a related quantitative field
- Strong algorithm development experience
Machine Learning Engineer
02/2013
-
06/2015
Detroit, MI
- Research new technologies to support build vs. buy and rapid growth of the business (build vs. buy)
- Exposure to software development experience building and operating high traffic web services and platforms
- Familiarity with frameworks such as MLlib, scikit-learn, H2O, Torch, TensorFlow, Theano, Caffe
- Develop back-end machine learning applications
- Develop in Python/.NET/C/C++ or other applicable technologies
- Develop code that leverages modern web application development frameworks ( MongoDB, Django, AngularJS 4.0)
- Performance tuning for a high-performance operational platforms
- Own features from idea to deployment
- Tackle complex problems in usability, scalability, and distributed systems
Machine Learning Engineer Intern
08/2008
-
08/2012
Houston, TX
- Skills with Python, C++, Java and/or other programming languages
- Significantly contribute to designing, building, evaluating, shipping and refining Spotify’s natural language capabilities, especially by high-capacity hands-on development
- Actively collaborate with software engineers, data scientists, data engineers, ML engineers, researchers, designers, and product managers to get things done
- Significantly influence and exemplify how teams work together to delivering natural language capabilities in an agile environment as well as identifying and articulating the business goals motivating them
- Mentor other engineers in growing both their technical and collaborative skills
- Be an influential member of an active group of machine learners in Boston and across Spotify learning from and encouraging one another
- Work from our Boston office (Davis Square), with frequent collaboration with and occasional travel to our other offices (e.g., Stockholm, New York)
- Satisfy one of: (a) PhD in Machine Learning, Statistics, Optimization or related field, with experience building production systems, or (b) MS in CS with 4+ years of experience in working with large data-driven projects, or (c) BS in CS with 6+ years of experience in the industry with at least 3 years in data science / machine learning
- Operate and provide 24/7 services to internal and external customers (mom and zuteams)
Education
University of the People
2003 - 2008
Science's Degree in Computer Science
Professional Skills
- Have strong communication skills, analytical and problem-solving skills, the ability to work independently, and a strong focus on quality
- Strong software engineering skills including experience of a modern agile development workflow using Git, unit testing and CI/CD
- Excellent understanding of computer science fundamentals, data structures, and algorithms. Strong programming skills (one or more of Java, C/C++, Python)
- Strong programming skills in Python, Java or Scala and demonstrable experience with cluster computing (Apache Spark, Apache Hadoop, etc.)
- Strong programming skills and experience with Python, R, and other programming languages
- Possesses advanced analytical skills and problem solving skills needed to manage multiple – often conflicting – demands on a project, simultaneously
- Strong time management skills with the ability to prioritize and contribute to multiple assignments simultaneously
How to write Machine Learning Engineer Resume
Machine Learning Engineer role is responsible for programming, coding, java, learning, python, software, engineering, debugging, interpersonal, languages.
To write great resume for machine learning engineer job, your resume must include:
- Your contact information
- Work experience
- Education
- Skill listing
Contact Information For Machine Learning Engineer Resume
The section contact information is important in your machine learning engineer resume. The recruiter has to be able to contact you ASAP if they like to offer you the job. This is why you need to provide your:
- First and last name
- Telephone number
Work Experience in Your Machine Learning Engineer Resume
The section work experience is an essential part of your machine learning engineer resume. It’s the one thing the recruiter really cares about and pays the most attention to.
This section, however, is not just a list of your previous machine learning engineer responsibilities. It's meant to present you as a wholesome candidate by showcasing your relevant accomplishments and should be tailored specifically to the particular machine learning engineer position you're applying to.
The work experience section should be the detailed summary of your latest 3 or 4 positions.
Representative Machine Learning Engineer resume experience can include:
- Strong Linux systems skills, and experience using compute and data environments on AWS (or Microsoft Azure/Google Cloud)
- Good scripting and programming skills, including object-oriented programming
- Solid software engineering skills across multiple languages including but not limited to Python, C/C++
- Effectively function in a fast-paced environment with shifting priorities and simultaneous projects
- BTech, BE with relevant work experience or satisfying the relevant skills (below)
- Strong Programming skills in various languages (C++, Scala, Java, R) with proficiency in Python and/or C++
Education on a Machine Learning Engineer Resume
Make sure to make education a priority on your machine learning engineer resume. If you’ve been working for a few years and have a few solid positions to show, put your education after your machine learning engineer experience. For example, if you have a Ph.D in Neuroscience and a Master's in the same sphere, just list your Ph.D. Besides the doctorate, Master’s degrees go next, followed by Bachelor’s and finally, Associate’s degree.
Additional details to include:
- School you graduated from
- Major/ minor
- Year of graduation
- Location of school
These are the four additional pieces of information you should mention when listing your education on your resume.
Professional Skills in Machine Learning Engineer Resume
When listing skills on your machine learning engineer resume, remember always to be honest about your level of ability. Include the Skills section after experience.
Present the most important skills in your resume, there's a list of typical machine learning engineer skills:
- Strong programming skills in Java – at least 5 years’ of experience
- Strong coding and debugging skills in one or more of the following technologies: Java, Python, Spark, Tensorflow, PIO
- Strong analytical, critical thinking and creative problem solving skills
- Good analytical and problem-solving skills and a passion for debugging and problem investigation
- "Strong programming and debugging skills in: Java or C/C++ or Python or equivalent
- Strong programming and debugging skills in: Java or C/C++ or Python or equivalent
List of Typical Experience For a Machine Learning Engineer Resume
1
Experience For Principal Machine Learning Engineer Resume
- Strong coding and debugging skills in one or more of the following technologies: Java, Python, PySpark.ML, R, H2O, SparklyR , Pandas, Scikit-learn, Spark-Mllib
- Strong analytical and problem solving skills and enthusiastic about learning new tools & technologies
- "Good knowledge of big data processing, prior experience with Hadoop, Spark, Hive, Pig is highly desired
- "Excellent interpersonal and communication skills - working independently and/or in small teams
- Cross-disciplinary and strong analytic skills
- Have excellent teamwork and interpersonal skills
- Strong written and verbal communication skills in technical documentation and code
- Strong experience working with at least one of the following modeling frameworks: Scikit-Learn, TensorFlow, MXNet, Keras, Theano, Caffe, Torch
- Interest in expanding and learning machine learning skills (python, scikit-learn, Keras, Tensorflow, etc.)
2
Experience For Applied Machine Learning Engineer Resume
- Strong programming experience in at least 1 of the following: Java, C++(STL), Python and at least one of the following: Python, Matlab, R, Scala
- Build delightful products and experiences for millions, while working alongside an excellent, cross-functional team across Engineering, Product and Design
- Experience working with large scale distributed systems (Hadoop, Spark), and experience programming in Python, C++, Java or Scala
- Good experience in at least one Machine Learning technology (R/Python/Scala/Tensorflow)
- Hands-on experience with machine learning and solid math fundamentals
- Strong experience in NLP, specifically topic modeling and text classification
- Has prior experience working with build and dependency management tools (Gradle, sbt, Maven, npm)
- Proven experience implementing models with Big Data implementations
- Research experience with 1+ years of core machine learning/AI experience
3
Experience For Computer Vision / Machine Learning Engineer Resume
- "Knowledge and prior experience with some deep learning frameworks is desired by not required
- Apply software development skills to a wide range of machine learning and computer vision-related projects
- Strong experience with programming languages: R and Python
- Good experience with agile development processes like Scrum and Kanban
- Solid experience in technical leadership of products, people and organizations
- Strong experience in either Python or Scala
- Programming, debugging, testing, validation, documentation and/or deployment of the solution/product
- Experience with AWS environments; including, at least one of the following: on-demand computing, S3, and/or equivalent cloud computing approach
4
Experience For Lead Machine Learning Engineer Resume
- Professional experience in applying machine learning and data mining techniques, or significant related academic training
- Clean & structure the data and build training & validate data sets by applying advance feature-engineering techniques
- Education or professional experience in applying machine learning and data mining techniques to real problems with copious amounts of data
- Experience working in Data Science/Engineering and analyzing large datasets
- Production coding experience with at least one general purpose programming language and one scripting language
5
Experience For Audio Machine Learning Engineer Resume
- Hand-on experience with machine learning modelling in distributed computing environments
- Demonstrate end-to-end understanding of applications (including, but not limited to, the ML algorithms) being created
- Strong in solving business problems using classification and regression machine learning techniques
- Good understanding of deep learning algorithms CNN, RNN, LSTM and how to control overfitting in such cases
- Experience in applying machine learning algorithms for natural language processing/generation tasks
6
Experience For Machine Learning Engineer Intern Resume
- Experience visualizing/presenting data for stakeholders using: Tableau, ggplot, etc
- Experience in implementing machine learning models and solving real world problems
- Experience with developing software for Linux, including Redhat, CentOS, or Ubuntu
- Experience with Natural Language Processing libraries, including Stanford NLP or OpenNLP
- Experience writing high performance/memory efficient code for machine learning
7
Experience For Machine Learning Engineer FG Resume
- Experience building machine learning or AI systems
- Experience scaling machine learning pipelines
- Work closely with data scientists to design and develop machine learning models for validating new research ideas
- Experience using machine learning tools (Scikit-Learn, TensorFlow, Weka etc.)
- Work experience in software engineering, data science, and machine learning
8
Experience For Engineer Machine Learning Engineer Resume
- Work experience in software engineering, data science, and machine learning
- Experience building machine learning or AI systems
- Experience in Java development, including the Spring Framework (Boot, Web, etc.)
- Software engineering/data science experience with 2+ years in data engineering
- Good understanding in developing AWS solutions
- Experience with feature engineering and trade-offs between various machine learning algorithms
- A proven track record of publications in Deep Learning at machine learning or domain science venues
- Experience implementing theories into pragmatic modeling pipelines
- Experience in machine learning and Large Scale Data Mining
9
Experience For Machine Learning Engineer Softe Resume
- Experience and understanding of machine learning techniques
- Strong background in machine learning, artificial intelligence, data mining
- Experience developing distributed systems and concurrent programming
- Research experience, utilizing model evaluation, time series analytics and feature engineering
- Good exposure in Unsupervised machine learning like clustering, dimensionality reduction, Outlier detection
- Experience working with Machine Learning frameworks and Data Science methodologies
- Experience working with machine learning like SciKit-Learn, MLLib, or Theano, in production environments
- Experience developing neural net models for pattern recognition/natural language processing
10
Experience For Internship AI & Machine Learning Engineer Resume
- Experience in building speech synthesis and natural language processing systems (e.g. commercial speech products or government speech projects)
- Software development experience building and operating high traffic web services and platforms
- Strong working knowledge of machine learning techniques (generative and discriminative models)
- Experience applying machine learning techniques to NLP problems
- Research experience in machine learning or natural language processing
- Hands-on industry experience developing machine learning applications
List of Typical Skills For a Machine Learning Engineer Resume
1
Skills For Principal Machine Learning Engineer Resume
- Good engineering and coding skills with the ability to write high performance quality code
- Strong programming skills in Scala, Java, Python, or similar language
- Strong leadership, analytical, and problem-solving skills
- Excellent interpersonal and communication skills - working independently and/or in small teams
- Strong communication, teaching and data presentation skills
- Good knowledge of statistics skills, such as distributions, statistical testing, regression, etc
- Strong written and verbal communication skills: ability to clearly articulate ideas to both technical and non-technical audiences
- Excellent communication skills and ability to understand and communicate business requirements
2
Skills For Applied Machine Learning Engineer Resume
- Good communication skills, ability to work with large cross-functional teams of technical and non-technical members and mentor others
- Excellent written and verbal communication skills, including the ability to develop and deliver presentations
- Excellent programming skills in python/C++/scala/R
- Excellent software development skills in one or more of C, C++, or Python
- Outstanding executive presence and presentation skills
- Strong background working with machine learning methods and experience in implementing and extending ML algorithms independently
3
Skills For Computer Vision / Machine Learning Engineer Resume
- Demonstrated experience with building and deploying performant predictive models
- Experience Machine learning and Deep learning experience
- Experience of developing models using Python6. Health and Life Sciences experience highly desired
- Strong knowledge and experience working in Python and machine learning tools like TensorFlow, or equivalent tools
- Proven experience with both Unit, Functional and Non-Functional testing
- Present results to a cross section of employees, including senior leaders at Visa. Utilize graduate-level research and analysis skills
- Strong programming experience, preferably Java and/or Python
4
Skills For Lead Machine Learning Engineer Resume
- Experience working in fast-paced environment with 5+ years of related experience
- Advanced programming skills with Python, Scala, or R,
- Knowledge and prior experience with some deep learning frameworks is desired by not required
- Good knowledge and practical experience with OpenCV library
- Strong expertise and experience in machine learning and data science
- Strong programming experience with Java, Scala, Python and/or C++
- Strong hands-on programming experience with Java, Scala, Python and/or C++
- Proven experience in taking ideas to actual products
5
Skills For Audio Machine Learning Engineer Resume
- Strong preference for programming experience in Spark framework and PySpark
- Strong experience with software development with Python, R, Scala, Java and open programming languages
- Demonstrated experience in applied Machine Learning
- Proven experience with large data sets and related technologies, e.g., Hadoop, Pig, Spark. Knowledge of SQL and NoSQL is required
- Strong preference for hands-on experience with TensorFlow, Scikit-learn, PredictionIO, Spark MLlib, MXNet, Caffe, H2O or other ML Libraries
- Strong implementation experience with high-level languages, such as R, Python, Perl, Ruby, Scala or similar scripting languages
- Related experience and/or training; or equivalent combination of education and experience
6
Skills For Machine Learning Engineer Intern Resume
- Strong SQL experience (MySQL, Redshift/Postgres)
- Programming experience with languages like Python, Java, .NET, and Cloud computing and with ML libraries like Keras, TensorFlow, or scikit learn
- Working knowledge and experience working with big data technology e.g. Spark, Hadoop and MapReduce
- Working experience with large data sets in order to extract business insights or build predictive models
- Working Experience with Apache Spark (especially SparkML) and/or Apache Hadoop
- Working experience with big data tools such as Hadoop/YARN, Spark, Kafka, Hive, Presto (5+ years)
- Working within a sprint-based Agile methodology – two-week sprints against a prioritised backlog, QA and deployment within sprint
7
Skills For Machine Learning Engineer FG Resume
- Experience in data mining, learning to rank, deep learning, natural language processing, machine learning, and/or related fields
- Experience using statistical modeling or machine learning techniques to build models that have driven company decision making
- Experience with advanced data analytic techniques, including data mining, machine learning, statistical analysis, or Natural Language Processing
- Work experience in building and operationalizing various statistical and machine learning models
- Experience with Apache Spark, streaming technologies (Spark streaming, Kafka), Unix scripting and NOSQL database would be an added advantage
8
Skills For Engineer Machine Learning Engineer Resume
- Industry experience in building and operationalizing various machine and deep learning models in finance/other domain would be an added advantage
- Hands-on experience of building neural networks, deep learning or reinforcement learning in real-world applications
- Experience implementing machine learning algorithms using TensorFlow
- Good understanding of machine learning fundamentals and deep learning
- Industry experience in building and productionizing end to end machine learning platforms
- Good understanding of common machine learning (Scikit-Learn) and deep learning frameworks (Pytorch, Tensorflow, Keras, etc.)
- Good understanding of common families of models, feature engineering, feature selection and other practical machine learning issues
- Educational or professional experience in applying machine learning and data mining techniques to real problems with copious amounts of data
9
Skills For Machine Learning Engineer Softe Resume
- Experience building Deep Learning models and optimizing them for convergence
- Experience with benchmarking Deep Learning and Machine Learning systems
- Good understanding of Machine Learning and Deep Learning fundamentals
- Experience implementing machine learning algorithms using Scala, SparkML, and Python
- Experience delivering large scale projects deploying machine learning models into Production systems
- Experience with programming in an object-oriented programming language, including Java or Python
- Experience in developing machine learning packages with modern programming languages e.g. Python, R, Scala, Java, MATLAB, C++ etc
- Design/implementation/consulting experience building cloud solutions using various cloud vendors preferably Oracle
10
Skills For Internship AI & Machine Learning Engineer Resume
- Experience with designing, deploying, and troubleshooting distributed systems
- Experience applying machine learning solutions to natural language processing or business intelligence problems
- Experience in designing and building solutions in a Hadoop ecosystem including HDFS, Hive, Spark, Kafka
- Hands on applied supervised and unsupervised machine learning experience in a corporate setting
- Collaborate with team in order to improve the effectiveness of business decisions through the use of data and machine learning/predictive modeling
- Experience building batch and streaming data pipelines
List of Typical Responsibilities For a Machine Learning Engineer Resume
1
Responsibilities For Principal Machine Learning Engineer Resume
- Experience applying data analytical skills to Sales and Marketing
- Strong programming skills in at least one object oriented programming language (Java, C#, Scala, C++, Python, etc.)
- Strong programming skills in Python, JavaScript/NodeJS, Java or similar
- Strong skills in the use of current state of the art machine learning frameworks such as Scikit-Learn, H2O, Keras, TensorFlow
- Strong communication, analytical, and people skills
- Strong background working with machine learning methods and experience in implementing and extending ML algorithms
2
Responsibilities For Applied Machine Learning Engineer Resume
- Statistical modeling experience with strong understanding and proficiency of predictive modeling techniques
- Solid understanding and experience working with cloud-based solutions, especially AWS
- 5+ programming experience in Python with strong grasp of software engineering standard methodologies such as code-reusability, modularity, use of repos, etc
- Apply deep learning skills for developing neural networks, application of artificial intelligence (AI) and other techniques to derive algorithms
- Proven experience developing in Java/Scala/Python
- Proven experience in machine learning, statistical models, data pipelines and architectures
- Good hands-on development experience with machine learning models
- Applied experience: 7+ years of Machine Learning experience
- Proven experience writing production-grade software
3
Responsibilities For Computer Vision / Machine Learning Engineer Resume
- Extensive experience with relational database management system (RDBMS), with strong knowledge of SQL
- Have good analytical sense to ensure data quality and validate features
- Solid experience in technical leadership of products, people, and organizations
- Working experience in prototyping machine learning use cases
- Design/implementation/consulting experience training Machine Learning models and deploying scoring pipelines at scale
- Transform data using data mapping and data processing capabilities like MapReduce, Spark/Spark SQL with a good understanding on data science requirements
- Professional experience analyzing large-scale complex data sets, modeling, and productizing machine learning algorithms
- Experience in one or more of the following areas: Neural Networks, Deep Learning, Supervised and Unsupervised Learning, Computer Vision and Image Processing
4
Responsibilities For Lead Machine Learning Engineer Resume
- Deep understanding and experience in the field of AI, Machine Learning, Deep Learning and related technologies
- Experience using Machine Learning to solve Artificial Intelligence related business problems
- Deep experience developing AI models in real-world environments and integrating AI/ML and other Oracle Cloud services into large-scale production applications
- Confident and experienced in public speaking to large audiences and running meetups
- Experience with machine learning and natural language processing
- Hands on experience in deep learning based engineering
5
Responsibilities For Audio Machine Learning Engineer Resume
- Experience in Machine Learning, Data Science, and Software Engineering
- Good understanding in linear algebra, machine learning and statistics
- Understand machine learning principles (i.e., training, validation, etc…)
- Deep understanding of machine learning algorithms and their applications with extensive hands-on experience
- Experience in building reliable and auditable CICD deployment pipeline using Jenkins
6
Responsibilities For Machine Learning Engineer Intern Resume
- Tware development experience with highly scalable systems involving machine learning and big data
- Experience with building Machine Learning models
- Experience working with Python on Machine Learning problems
- Experience developing production quality code in a professional software engineering role
7
Responsibilities For Machine Learning Engineer FG Resume
- Experience in a data-driven software engineering environment, with an end-to-end understanding of how to leverage data to make business decisions
- A proven track record in building and maintaining high quality, robust and maintainable code
- Experience building and working within a Continuous Integration framework
- Experience developing data infrastructure and tools and familiarity with current large-scale data processing technologies, e.g. TensorFlow or PyTorch
- Experience using machine learning and data science to ship real-world data products
8
Responsibilities For Engineer Machine Learning Engineer Resume
- Experience using machine learning and data science to ship real-world data products
- Interest or experience in information extraction, text mining, natural language processing, recommendation systems, and search relevance
- Programming experience in at least two of the following: Java, C++, Python, or Scala
- Experience in implementing various with machine learning algorithms
- Experience developing full stack web sites and services using Node, PHP, JavaScript, HTML, and CSS
- Model Evaluation – validate the model, optimize using hyper parameter tuning
9
Responsibilities For Machine Learning Engineer Softe Resume
- Strong problem solving and consulting capabilities
- Professional analytical modeling experience, solving problems relevant to the problems we solve at TransUnion
- Some experience, knowledge and/or significant interest in applying multiple machine learning techniques to scientific data
- Experience in working on and delivering research oriented data driven problems
- Experience using deep learning architectures
- Experience deploying highly scalable software supporting millions or more users
- Previous experience building end to end Machine Learning systems
- Excellent understanding of machine learning techniques and algorithms such as k-NN, Naïve Bayes, SVM, Decision Forests, CNN etc
- Experience developing cloud software services and an understanding of design for scalability, performance and reliability
10
Responsibilities For Internship AI & Machine Learning Engineer Resume
- Professional experience in developing service and designing scalable and reliable system
- Hands-on experience solving machine learning problems
- Experience with configuring and troubleshooting Linux-based systems
- Strong networking knowledge (OSI network layers, working with proxies, API management)
- Strong knowledge of Machine Learning Platforms including Public Cloud Offerings
- Experience in mapping, geometry, robotics, autonomous driving technology
- Experience working with offering managers and product teams
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