Job description

Machine Learning Engineer (US - Contract)

Are you fascinated by machine learning and building robust machine learning pipelines which process massive amounts of data at scale and speed to provide crucial insights to the end consumers?

This is exactly what we, the Machine Learning Engineering group in Expedia, do.  Our mission is to partner with our Machine Learning Science counterparts to use AI/ML to collaboratively transform Expedia’s data assets into intelligent and real-time insights to support a variety of applications which are used by 1000+ market managers, analysts, our supply partners, and our travelers. Our work spans across a variety of datasets and ML models and across a diverse technology stack ranging from Spark, SageMaker, Airflow, DataBricks, Kubernetes, AWS and much more! This is a 12-month temporary assignment. Fully remote is okay, but it is preferred that candidates sit in PST or CST, specifically Austin, TX or Seattle, WA.

What You’ll Do:

• Design, develop, debug, and modify components of machine learning and deep learning systems and applications, including data/ETL and feature engineering pipelines
• Work collaboratively with data scientists, machine learning engineers, program and product managers in the development of assigned components
• Prototype creative solutions quickly by developing minimum viable products
• Actively participate in group technology reviews to critique work of self and others
• Drive for continuous improvement within an agile development team
• Communicate and work with geographically distributed cross-functional teams

Who You Are:

• Minimum 5+ years of direct experience
• Degree with strong technical focus (Computer Science, Engineering)
• Excellent analytical and problem-solving skills with an aptitude for troubleshooting
• Ability to write robust code in one or more of Python, Scala and Java
• Proficient in core technologies like Spark, Hadoop and Hive
• Experience in building real-time applications, preferably in Spark and streaming platforms like Kafka and Kinesis
• Good understanding of machine learning pipelines and machine learning frameworks such as TensorFlow and PyTorch
• Familiar with cloud services like AWS, Azure and workflow orchestration tools (e.g., Airflow)
• Familiarity with e-commerce or the travel industry is preferred

Please note contractors are engaged to provide services to Expedia Group on a temporary basis in connection with a specific assignment. Contractors are hired and employed through Atrium, our third-party payrolling partner.

As a woman-owned firm, Atrium values diversity. We are an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, genetic information or any other characteristic protected by law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

This job posting is for a temporary role as an employee of Atrium on assignment at Expedia. The individual selected for this role will be offered the role as an employee of Atrium; compensation, medical benefits, fringe benefits and other terms and conditions of employment shall be presented by Atrium upon offer. The pay rate range provided is a reasonable estimate of the anticipated compensation range for this job at the time of posting. The actual pay rate will be based on a number of factors, including skills, competencies, experience, location and/or being pursued and other job-related factors permitted by law. In addition, this role will be eligible for overtime pay, in accordance with federal and state requirements.

No C2C or Third-Party Vendors

Req: EP19

Job Type: Contract

Pay: $100.00 - $112.00 per hour

Benefits:

• 401(k)
• Dental insurance
• Flexible schedule
• Health insurance
• Paid time off
• Vision insurance

Schedule:

• 8 hour shift
• Monday to Friday

Experience:

• Machine Learning: 5 years (Preferred)

Work Location: Remote

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