Sr. Machine Learning Engineer - Long Term Project - Remote?based in Seattle or Los Angeles

Overview

On Site
Hybrid
BASED ON EXPERIENCE
Contract - W2
Contract - Independent
Contract - 24+ mo(s)

Skills

Machine Learning (ML)
Ad serving
Campaign management
Big data
Data Visualization
Data Analysis
Computer science
Digital video
Digital marketing
Professional services
LOS
SANS
Microservices
Advertising
Reporting
Video
Research
Data
Artificial intelligence
Streaming
Leadership
Optimization
Algorithms
Innovation
Art
Statistics
Analytics
Inventory
Forecasting
Planning
Pricing
Brand
Collaboration
Creativity
Internet
Mathematics
Java
Python
Scala
Apache Spark
SQL
Mentorship
Machine Learning Operations (ML Ops)
PyTorch
TensorFlow
Amazon SageMaker
Databricks
Business analysis
FOCUS
Genetics
Law

Job Details

Sr. Machine Learning Engineer - Long Term Project - Remote based in Seattle or Los Angeles

Title: Sr. Machine Learning Engineer
Location: Remote based in Seattle or Los Angeles
Duration: Long Term Project
Compensation: $90-110/hr.
Work Requirements: , Holders or Authorized to Work in the US
Qualified candidates may send a copy of their resume (Word Format) to

Description/Comment:
Ad Platforms organization within Technology division is fully responsible for building, enhancing and maintaining the high-performance, distributed, microservice-based Advertising Platform. We build and maintain proprietary technology, ranging from ad serving and ad delivery, campaign management, reporting as well as all the integrations internal and external that come with evolving and maintaining a best-in-class video advertising business. The Ad Platform Research team is under Ad Platforms and its mission is to transform advertising and Ad platform with data and AI across TV and streaming video. We build solutions to measure and optimize every aspect of the advertising life cycle. Our tenet is to build a strong cross-domain team to deliver E2E solutions covering tech areas ranging from machine learning, big data, microservices to data visualization. Our team is seeking a lead machine learning engineer who will be an outstanding addition and leading development for prediction or optimization engines for addressable ad platforms. The right person for this role should be experienced in crafting implementation for either machine learning technologies or data-driven algorithms. If you are someone who is proactive, inquisitive, and innovative in either these domains, this is a phenomenal role for you.

WHAT YOU'LL DO

  • Drive ground-breaking innovation and apply state of the art machine learning statistics or analytics in a variety of areas in every aspect of advertising, including inventory forecasting, planning, pricing, targeting, decisioning, and efficient ad delivery.
  • Invent and iterate novel solutions to challenging ad related problems in fast turn around
  • Develop scalable and efficient methods for large scale data analysis and model development. Build and experiment brand new algorithms and models e2e throughout production rollout and continuous optimization.
  • Collaborate with engineering teams, program managers, and product managers in an open, and creative environment.
Qualifications
  • MS or PhD in computer science or EE
  • 4+ years of working experience on machine learning, and statistics in leading internet companies.
  • Experience in the advertising domain is preferred.
  • Solid understanding on ML technologies, mathematics and statistics.
  • Proficient with Java, Python, Scala, Spark, SQL, large scale ML/DL platforms and processing tech stack.
  • Passion to understand the ad business and apply accurate research study according to the business scenario, and seek innovation opportunities to enhance business effectiveness
  • Passion for technology, open to interdisciplinary work, and experience in building data-driven services and applications.
  • Proven track record of thriving in a fast-paced, data-driven, collaborative and iterative applied research environment is required
  • Mentor team members, and guide their technical development
Preferences
  • Experience in digital video advertising or digital marketing domain
  • Experience with feature store, audience segmentation and MLOps
  • Experience with PyTorch, Tensorflow, Kubeflow, Sagemaker or Databricks.
Required Education: BA/BS Degree

Our benefits package includes:

  • Comprehensive medical benefits
  • Competitive pay, 401(k)
  • Retirement plan
  • and much more!

About INSPYR Solutions:

Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.

INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.

About INSPYR Solutions