Data and Machine Learning Engineering Intern (Remote)
Sunnyvale, CA
23andMe
23andMe is a saliva-based DNA service. We provide genetic reports on your ancestry, family history and help you connect with your DNA relatives.During our 10-week summer internship program, you’ll join our Engineering team who build data and machine learning pipelines that deliver personalized health and ancestry insights with applications in precision prevention and healthcare.. You’ll have the opportunity to develop skills such as research and implement new improvements to our data in a corporate setting.
Who We Are
Since 2006, 23andMe’s mission has been to help people access, understand, and benefit from the human genome. We are a group of passionate individuals pushing the boundaries of what’s possible to help turn genetic insight into better health and personal understanding.
What You'll Do
- Research and implement new improvements to our data and/or machine learning pipelines. Example projects include:
- Explore parquet data storage optimizations
- Backend data plotting to improve performance
- Update the deployment strategy for a django API
- Real time streaming etl aggregations
- Big data visualizations
- Work closely with colleagues on the engineering team to put research results into action.
- Be able to stay on top of state-of-the-art technologies and apply them in the job.
What You'll Bring
- You are excited about data intensive and machine learning applications and storage systems in healthcare
- You have a passion for making simple, robust, and scalable tools/platforms used by other teams
- You favor collaboration over isolation
- Proficiency with python programming
- Solid understanding of object-oriented programming
- Good understanding of machine learning principles
- Familiarity with cloud computing concepts
- Strong presentation and communication skills
- Authorization to work in the US
Strongly Preferred
- Prior industry internship experience
- Experience with data processing/machine learning python libraries (pandas, pyarrow, numpy, tensorflow, etc.)
- Contributions to open-source projects
- Currently pursuing a Bachelor's (Juniors/Seniors) or Master's degree, preferably in Computer Science or a related field
About Us
23andMe, headquartered in Sunnyvale, CA, is a leading consumer genetics and research company. Founded in 2006, the company’s mission is to help people access, understand, and benefit from the human genome. 23andMe has pioneered direct access to genetic information as the only company with multiple FDA authorizations for genetic health risk reports. The company has created the world’s largest crowdsourced platform for genetic research, with 80 percent of its customers electing to participate. The platform also powers the 23andMe Therapeutics group, currently pursuing drug discovery programs rooted in human genetics across a spectrum of disease areas, including oncology, respiratory, and cardiovascular diseases, in addition to other therapeutic areas. More information is available at www.23andMe.com.
At 23andMe, we value a diverse, inclusive workforce and we provide equal employment opportunity for all applicants and employees. All qualified applicants for employment will be considered without regard to an individual’s race, color, sex, gender identity, gender expression, religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws. If you are unable to submit your application because of incompatible assistive technology or a disability, please contact us at accommodations-ext@23andme.com. 23andMe will reasonably accommodate qualified individuals with disabilities to the extent required by applicable law.
Please note: 23andMe does not accept agency resumes and we are not responsible for any fees related to unsolicited resumes. Thank you.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Big Data Computer Science Django Drug discovery Engineering ETL Machine Learning NumPy OOP Pandas Parquet Pipelines Python Research Streaming TensorFlow
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