Senior Machine Learning Engineer Resume Sample
Lenna Cummings
7665 Walker Lake,
San Francisco,
CA
+1 (555) 382 9316
Work Experience
Senior Machine Learning Engineer
04/2017
-
PRESENT
Boston, MA
- Bachelors in Computer Science, Operations Research, Statistics or a related quantitative field
- Hands-on experience in software engineering and/or machine learning
- Strong algorithm development experience
- Skills with Python, C++, Java and/or other programming languages
- Work experience in building software solutions that ideally include: recommender systems, personalization, forecasting, conversational systems, outlier detection, and hypothesis testing
- Expert analytical and problem-solving skills; proficient in data-driven clustering, classification, ranking, and estimation techniques
- Experience with machine learning frameworks such as MLlib, TensorFlow, Caffe, Torch, or Theano
- Experience programming in Python, Java, Scala, or similar modern language
Senior Machine Learning Engineer, ASR, NLP
06/2014
-
01/2017
Chicago, IL
- Experience with Agile/Scrum software development methodologies; experience with engineering best practices
- Develop, optimize, standardize and implement data science and machine learning solutions at scale in data pipelines and distributed systems (e.g. Hadoop/Spark ecosystem)
- Design, develop and implement data science and machine learning models in proof-of-concepts and prototypes. Closely cooperate and support the Foundational R&D team
- Engineer at scale using service-oriented architecture, containerized applications and functions as a service, especially in cloud service environments (i.e. IaaS, PaaS, SaaS, FaaS)
- Optimize data science and machine learning models using high performance computing (e.g. GPGPU) and real-time techniques (e.g. messaging services, reactive programming)
- Represent GfK's Machine Learning and Data Science expertise at conferences and workshops
- Design, develop and implement data science and machine learning models in proof-of-concepts and prototypes
Education
Missouri University of Science and Technology - Engineering Education Center
2009 - 2013
Engineer's Degree in Computer Science
Professional Skills
- Strong programming skills and experience with significant software development projects
- Strong analytic / trouble-shooting skills and demonstrated excellence in written and verbal communications
- Professional experience with strong coding skills in one or more of: Python, C++, C#,
- Strong coding skills and fundamentals in data structures, predictive modeling and big data concepts
- Strong coding skills in at least one high level programming language like Java, Scala, C++ or Python (NumPy, SciPy, Pandas)
- Strong object-oriented programming skills, including proficiency in Java, Scala, C/C++ or Python
- Strong SQL skills and is comfortable operating with relational data models and structure
How to write Senior Machine Learning Engineer Resume
Senior Machine Learning Engineer role is responsible for programming, coding, techniques, software, modeling, java, sql, python, optimization, leadership.
To write great resume for senior machine learning engineer job, your resume must include:
- Your contact information
- Work experience
- Education
- Skill listing
Contact Information For Senior Machine Learning Engineer Resume
The section contact information is important in your senior 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 Senior Machine Learning Engineer Resume
The section work experience is an essential part of your senior 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 senior 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 senior 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 Senior Machine Learning Engineer resume experience can include:
- Develop, optimize, standardize and implement data science and machine learning solutions at scale in data pipelines and distributed systems (e.g. Hadoop/Spark/Kubernetes ecosystem)
- Optimize data science and machine learning models using high performance computing (e.g. GPGPU) and real-time techniques (e.g. messaging/streaming services, reactive programming)
- Strong programming skills in Python, SQL and SPARK
- Experience designing and implementing Machine Learning models and algorithms OR a PhD in Machine Learning with at least 1+ year of industry experience
- Experience or strong interest in foundational machine learning models and concepts: regression, random forest, boosting, HMM, CRFs, MRFs, deep learning
- Experience employing software development best practices like unit testing, version control, the SOLID principles
Education on a Senior Machine Learning Engineer Resume
Make sure to make education a priority on your senior 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 senior 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 Senior Machine Learning Engineer Resume
When listing skills on your senior 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 senior machine learning engineer skills:
- Experience as a developer with solid skills in Python, or C#
- Professional experience with strong coding skills in one or more of: Python, C++, C#, Java
- Excellent written and verbal communication skills, comfortable presenting in front of non-technical audiences
- Excellent verbal and written communication skills with the ability to build relationships across the company
- Excellent collaboration and cross-functional skills
- Strong analytical, creative problem solving, and communication skills
List of Typical Experience For a Senior Machine Learning Engineer Resume
1
Experience For Senior Machine Learning Engineer, ASR, NLP Resume
- Strong programming skills with fluency in at least one of Python, R, Java, Scala, C/C++
- Leadership and organizational skills as determined by manager and project success
- Provides the technical expertise and support to ensure that data products function effectively in a production environment
- Collaborate with customers internally and externally to ensure they can use our RL capabilities effectively
- Communicate effectively between Product managers, business teams, data analysts and production engineers, both in code and conversation
2
Experience For Senior Machine Learning Engineer Resume
- Experience delivering data insights by querying dataset in a Big Data environment (SQL, AWS Aurora and etc.) and performing real-time streaming analytics
- Familiarity with the Hadoop ecosystem (Apache Hive, Pig, HBase and Kafka) and experience using a distributed computing platform, such as Spark
- Total Machine Learning experience, including years of academic research
- Proven track records of researching and solving problems
- Experience with both machine learning and building scalable production services
- Experience with machine learning frameworks such as MLlib, TensorFlow, Caffe, or PyTorch
3
Experience For Senior Machine Learning Engineer, ASR, NLP Resume
- Coordinate and guide the rapid prototyping activities and work with the manager to prioritization
- Experience in designing full stack ML solutions in a distributed compute environment
- Experience working with Java, Python, Scala, Tensor Flow, Caffe, Sci-kit, SparkML
- Experience: 5, Deep Learning
- Experience working with large datasets, both structured and unstructured
4
Experience For Senior Machine Learning Engineer Resume
- Experience making consistency and availability tradeoffs
- PhD in Machine Learning and experience at well-regarded tech companies and startups are desirable
- MS/PhD in Computer Science or related technical field or BS with 2+ years of applied machine learning experience
- Experience with Spark/Scalding/Hadoop and Python
- Experience with Hadoop and Spark, or equivalent Cluster Computing/MapReduce Frameworks, is required
- Experience with a Cloud Computing Platform (such as AWS, Azure, Google Cloud)
5
Experience For Senior Machine Learning Engineer, ASR, NLP Resume
- Experience with search engine technology, big data processing, and Hadoop
- Experience in developing for a distributed environment
- Proven track record of leveraging large amounts of data to solve real-world problems
- Experience building software components that have been successfully delivered to customers
- Experience with containerization using tools such as Docker
- Experience with machine learning software, such as Theano, Torch and/or TensorFlow
6
Experience For Senior Machine Learning Engineer Resume
- Experience with common machine learning libraries and tools: scikit-learn, MXNet, Tensorflow, XGBoost
- Experience in data extraction, transformation, statistical analysis and data modeling
- Experience using major RDBMS, Hadoop, Spark, Elasticsearch, or similar technologies
- Experience with statistical modeling tools such as R, SAS, SciKit-learn, or TensorFlow
- Extensive development experience in object oriented programming language in Java
- Industry experience in engineering, data science or related areas
- Industry experience in Machine Learning algorithms development and deployment to production
- Experience writing code that can be easily deployed to production
- Experience identifying hot-spots in models
7
Experience For Senior Machine Learning Engineer, ASR, NLP Resume
- Experience with unit testing stochastic models
- Relevant experience programming in C/C++
- Expertise in machine learning with good breadth in various techniques
- Experience using Java in large-scale, backend production applications
- Proven expertise (5+ years) in the fundamentals and practical application of Machine Learning
8
Experience For Senior Machine Learning Engineer Resume
- Applied Machine Learning / NLP experience in the industry
- Experience building production AI applications
- Hands on experience with scalable Machine Learning frameworks required
- OOD experience working on backend systems
- Experience working with public cloud platforms (AWS, GCP, etc.)
- Experience in at least one modern programming language such as C#, C++, or Java
- Experience with distributed storage and database systems, including SQL or NoSQL, MySQL, or Cassandra
- A strong desire to learn the details of advance machine learning algorithms
- Experience with Docker, AWS and understanding of the concept of microservices
9
Experience For Senior Machine Learning Engineer, ASR, NLP Resume
- Experience in Agile software development processes in a commercial setting
- Experience with Deep Learning Frameworks (e.g. TensorFlow, PyTorch)
- Professional experience in software development
- Participate in code reviews to ensure code quality and share best practices and experiences with the team
- Work experience in software engineering, data science, and machine learning
- Develop high-quality software systems ranging from early prototypes to rock-solid production systems
- Demonstrated track record in making impact from ideas to realizations
- Solid knowledge of big data and machine learning technologies such as Spark, Hadoop, TensorFlow and XGBoost
- Strong programming proficiency with Scala, Java, Python and/or C++
10
Experience For Senior Machine Learning Engineer Resume
- Collaborate with other scientists and engineers to find effective solutions to technical challenges
- Demonstrated mastery in communication of technical ideas to non-technical audiences
- Any experience with relevant technologies like Hadoop, YARN, Mesos, Spark, Elasticsearch or Kafka
- Experience with Amazon AWS services (specifically S3, EMR, RDS and EC2)
- Experience with modern source control (Git, Hg, SVN)
- Knowledge and experience with cloud technologies such as AWS
- Experience with open source tech stack such as Spark, Presto, Apache Zeppelin, and Apache Parquet
- Experience in software development of large-scale data infrastructure and distributed systems
List of Typical Skills For a Senior Machine Learning Engineer Resume
1
Skills For Senior Machine Learning Engineer, ASR, NLP Resume
- Excellent communication skills with multiple levels of the organization
- Expert skills with regard to code performance optimization and scalability (e.g., parallelization, sharding, scattering/gathering etc.)
- Strong machine learning background, with hands-on experience building multiple significant ML systems
- Experience scaling software and hardware to operate at Internet scale while observing performance SLAs
- Excellent knowledge on Hadoop administration / scheduling / priority
- Proven experience deploying lambda like architecture
- Strong engineering background with good foundation in data structures, algorithms, distributed systems and software design
- Strong engineering background with a good foundation in data structures, algorithms, distributed systems and software design
2
Skills For Senior Machine Learning Engineer Resume
- Experience with Python and/or Java and good coding practices
- Advanced programming skills with Python, Scala, or R
- Related experience; and/or training or equivalent combination of education and experience
- Prior work experience with programmatic advertising/RTB is considered a nice to have!
- Prior work experience with programmatic advertising/RTB
3
Skills For Senior Machine Learning Engineer, ASR, NLP Resume
- Expert skills with regard to code performance optimization and scalability (e.g., parallelization, containerization, HPC techniques etc.)
- Good experience with Spark
- Advanced skills with NoSQL databases and can interact with large amounts of data stored in a Hadoop environment
- Able to effectively work with software engineers and program managers to design and drive customer insights which influence and drive product investments
- Research experience with 2+ years of core machine learning/AI experience
- Programming experience in one or more modern programming languages such as Java, C# or C++
- Experience working on online learning systems like ads optimization using techniques like Thompson Sampling or Multi-Armed Bandits
4
Skills For Senior Machine Learning Engineer Resume
- Proven track record of building and shipping ML pipelines using both supervised and unsupervised learning techniques, classification, and optimization
- Professional software engineering experience, including testing and deploying iterative releases of software systems
- Experience in applying, implementing, and/or developing algorithms for machine learning or statistics
- Experience using or developing deep learning framework
- Experience working with modern tools for big data processing and scalable machine learning (e.g., AWS, Kafka, Kinesis, Apache Spark, Hadoop, SQL, NoSQL)
- Experience in applying Data Mining and Machine Learning techniques to solve business problems
5
Skills For Senior Machine Learning Engineer, ASR, NLP Resume
- Experience building solutions using AWS big data and machine learning services
- Experience leading projects involving Machine Learning from incubation to large-scale production deployments
- Hands on experience developing machine learning algorithms, using version control systems, containers, continuous integration and big data tools required
- Experience leading projects involving Machine Learning from incubation to large scale production deployments
- Strong understanding of NLP processes such as tokenization, POS tagging, and parsing at a low level
- Industry experience building data pipelines and implementing machine learning models at scale
- Experience in building machine learning applications, and broad knowledge of machine learning APIs, tools, and open source libraries
6
Skills For Senior Machine Learning Engineer Resume
- Experience using machine learning libraries or platforms, including Tensorflow, Caffe, Theanos, Scikit-Learn,or ML Lib for production or commercial products
- Proven track record in developing production-grade machine learning algorithms that solve practical problems
- Experience in analyzing large structured and unstructured data using Python (or other relevant languages)
- Solid knowledge of cloud computing environments and tooling (AWS, Azure)
- Good understanding of foundational statistics concepts and algorithms: linear/logistic regression, random forest, boosting, ANN’s, etc
- Significant experience with most of the following: C/C++, Python or similar, Matlab, GPU programming
7
Skills For Senior Machine Learning Engineer, ASR, NLP Resume
- Advanced understanding of software development and collaboration, including experience with tools such as Git
- Experience with Machine Learning, statistical models and Natural Language Processing
- Experience serving as technical lead, including mentorship of more junior software developers
- Experience building solutions for home networks, IoT device and cloud systems, context-awareness, pervasive computing, or home/industrial control systems
- Experience developing enterprise software using Java or Python
- Good understanding of relational and nosql database concepts and data processing
8
Skills For Senior Machine Learning Engineer Resume
- Experience monitoring and improving distributed multi-gpu systems
- Experience designing and implementing internet scale data pipelines for image, text, and audio data
- Experience in Natural Language Processing, Data Mining, Recommendation Systems or Probability/Optimization Algorithms
- Experience working with and evaluating open source technologies
- Hands-on experience with scalable machine learning frameworks and general data science tooling required
- Experience in Predictive Analytics, Data Mining, Recommendation Systems and Natural Language Processing
- Experience with one or more of the machine learning/deep learning tools and libraries (e.g. TensorFlow, Spark, Keras, Theano)
9
Skills For Senior Machine Learning Engineer, ASR, NLP Resume
- Strong understanding of supervised/unsupervised machine learning algorithms
- Tware development experience with highly scalable systems involving machine learning and big data
- Experience with Natural Language Processing, Machine Learning, statistical models
- Propose statistical or machine learning based model/methodology for problem-solving Propose accuracy measures and validation criteria for the model
10
Skills For Senior Machine Learning Engineer Resume
- Experience in stream processing—Storm, Spark, Flink etc.— and graph processing technologies
- Programming experience in at least two of the following: Java, C++, Python, or Scala
- Proven expertise in practical applications of Machine Learning and shipping algorithms into production-grade, end-to-end applications
- Highly skilled in one or more programming languages, preferably C++/C#/Java, or scripting languages such as Python
- Ph.D. or three years of professional or research experience with software development, algorithm design, modeling or machine learning
- Experience building and productionizing micro-services and APIs
List of Typical Responsibilities For a Senior Machine Learning Engineer Resume
1
Responsibilities For Senior Machine Learning Engineer, ASR, NLP Resume
- Hands-on experience in machine learning and large data analysis
- Developed validation tests for ensuring the quality of the final product
- Experience in Python
- Highly skilled in CNN, RNN, LSTM
- Professional experience in C# and/or C++
- Experience with Amazon EC2 or some other cloud provider
- Experienced in various forms of decision sciences and optimization software development
- Dedicated, with a demonstrated ability to take on hard problems
- Design, develop, validate and deploy proposed ML solutions
2
Responsibilities For Senior Machine Learning Engineer Resume
- Development experiences in FDA regulated environment
- Strong algorithm background
- Experience in Big Data Platforms and Data Analytics
- Hands-on experience with continuous integration and big data environments required
- Hands-on experience with Docker & Kubernetes required
- Maintaining as well as further enhancing existing machine learning modules for human
- Interfacing with internal partners including systems engineering, architects, product management and project management
3
Responsibilities For Senior Machine Learning Engineer, ASR, NLP Resume
- Working with machine/deep/reinforcement learning models and trying to optimize/customize them for new applications
- Designing and implementing new machine learning based approaches based on the
- Partnering with others across the business to build prototypes and new approaches for capturing data and analyzing consumer behavior
- Performing complex analysis, and interpreting and communicating the results of experiments to the business units
- Interfacing with Xilinx product teams to implement new architectures and compilers for programming modern multi-core architectures
- Creating and reviewing technical documentation and presentation, work with stakeholders and obtain consensus
- Working with data scientists, product managers, and software engineers to develop and support the software for new Machine Learning products
- Creating Machine Learning Solutions to achieve organizational objective
- Improving our existing recommendations with new signals to identify products that users are interested in but have never viewed
4
Responsibilities For Senior Machine Learning Engineer Resume
- Enhancing quality of Speech to Text engines and their relevance to generate dubbing scripts
- Using NLP and Text processing on subtitles to detect emotion, sentiments, negative words etc
- Finding ways to simplify activities by creating libraries, utilities and code
- Being integral in transforming the way that data is integrated and leveraged to drive the business
- Presenting findings and sharing insights with multiple business leaders throughout the organization
- Working with the team of data scientists, analysts and engineers
- Ensuring excellence in delivery to internal and external customers
- Cousulting to product development teams best practices related to
5
Responsibilities For Senior Machine Learning Engineer, ASR, NLP Resume
- Utilizing Computer vision algorithms to manage lip sync of dubbed audio to text
- Programming languages: Java, Scala, C#, C++
- Messaging: Kafka, Kafka Connect
- Designing experiments to confirm our assumptions and answer our questions
- Consulting with cross-functional stakeholders and senior leaders on insights, trends, and data-driven recommendations and solutions
- Perform corpus wrangling: acquiring, curating, analyzing and modeling multi-channel unstructured data
- Familiarity with one or more of the following machine learning techniques DNNs, Reinforcement Learning, Zero/One-shot learning, Active learning
- Work with data collection, data cleansing, feature engineering, model selection, training, testing, and deployment
- Cloud Dubbing - Building tools to enable recording and mixing of dubs in the cloud
6
Responsibilities For Senior Machine Learning Engineer Resume
- Optimize performance of the agent platform by tracking metrics and improving the scoring and recommendation systems
- Collaborate with other Machine Learning Engineers and Data Scientists in crafting and implementing your technical vision
- Knowledge of NLP techniques such as PoS tagging, NP chunking, shallow/deep parsing, NER
- Deep understanding of machine learning models, data analysis, and both supervised and unsupervised learning methods
- Provide guidance on reporting, analyses, model/methodology for delivery of improvement strategies to fast-paced machine learning development projects
- Machine Learning (Deep Learning)
- Advocates a testing first strategy to integrate A/B testing into all levels of product development
- Leads technology evaluations; creates prototypes for scalable Machine Learning Solutions using the latest methods and technologies
- Collaborate with Data Scientists to develop algorithms and tools for training and running simulations
7
Responsibilities For Senior Machine Learning Engineer, ASR, NLP Resume
- Develop projects by working alone or by technically leading engineers
- Intuitive understanding of machine learning algorithms, optimization methods and statistical tools
- An aptitude for learning fast - new tools, new algorithms, new programming languages, new models
- Desire and willingness to continue growing your capabilities as machine learning engineer
- Design and code highly scalable, machine learning applications processing large volumes of data
- Passionate about working on a fast-moving team focused on a new high-growth product
- Knowledge of IR concepts such as statistical search ranking, knowledge graphs, vectorial semantics, LSA, document clustering
8
Responsibilities For Senior Machine Learning Engineer Resume
- Work on business critical problems by applying machine learning to massive data sets
- Iterate on quality of machine learning powered features through continuous A/B testing
- Backend: Flask, Dash, Eve, Spring, Spring Boot
- Deep understanding of supervised/unsupervised machine learning algorithms
- Familiarity with NLP processes such as tokenization, POS tagging, and parsing at a low level
- Familiarity with one or more of common machine learning/deep learning tools and libraries (e.g. TensorFlow, Spark, Keras, Theano, etc.)
9
Responsibilities For Senior Machine Learning Engineer, ASR, NLP Resume
- Knowledge installing / administrating notebooks (Jupyter)
- A passion for adding value to the business through the production of empirically sounding policies and approaches
- Visceral understanding of probability and supervised/unsupervised learning
- Focus on delivering quickly and making an impact
- Work with other engineering and research teams to explore new features for the platform
- Computer Science fundamentals in problem solving, and complexity analysis
- Knowledge of the underlying ML techniques and algorithms development
- Proficiency in, at least, one modern programming language such as Java, C/C++ or Python
- Develop, train and evaluate ML models for natural language processing
10
Responsibilities For Senior Machine Learning Engineer Resume
- Accesses data from a variety of sources, including RDMS, NoSQL, or API
- Supports the Data Engineer and Architecture teams in defining the long-term technology road-map for the team
- Build a user interface to interact with machine learning models through simulations, visualize model metrics and collect domain experts’ feedback
- Familiarity with various machine learning methods
- Knowledge of machine learning libraries like Scikit-learn, TensorFlow, Caffe, Keras, etc
- Technically interact with Xilinx-internal engineering teams and Xilinx customers
- Stay up to date and ahead of the world on where the technology and their applications might be evolving
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