Senior Software Engineer (Machine Learning) - Long Term Project - Remote (PT)

Title: Senior Software Engineer (Machine Learning)
Location: Remote (PsT)
Duration: Long Term Project - 12+ months
Compensation: $90.00-109.00/hr.
Work Requirements: , Holders or Authorized to Work in the U.S.

Description/Comment:
The Ad Platform research team is under Ad Platforms and its mission is to transform advertising and Ad platform with AI and data science. We build solutions to measure and optimize every aspect of the advertising life cycle. Our tenant is a strong cross-domain team to deliver E2E solutions for machine learning and data science. Our team is seeking a senior machine learning engineer who will be an outstanding addition and focusing on machine learning algorithm development 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 and innovative in these domains, this is a phenomenal role for you!

WHAT YOU'LL DO
• Drive ground-breaking innovation and apply state of the art AI and machine learning in a variety of areas to enhance every aspect of advertising, including inventory forecasting, ad experience, ad pacing, pricing, targeting, and efficient ad delivery.
• Invent and iterate novel solutions for complex ad challenges with fast turnaround.
• Lead the ad algorithm architecture design and iteration of the advertising system.
• Develop scalable and efficient approaches for large scale data analysis and model development.
• Build and experiment new algorithms and models end-to-end, from production rollout to continuous optimization.
• Collaborate with engineering teams, product managers, and program managers in an open and creative environment.

Basic Qualification: WHAT TO BRING
• MS or PhD(preferred) in computer science or equivalent experience
• At least 3 years of working experience on large scale machine learning at leading internet companies. Experience in the advertising domain is preferred.
• Strong knowledge of AI/ML technologies, mathematics and statistics.
• Proficient in Java, Python, Scala, large scale ML/DL platforms and processing tech stack.
• Passionate about understanding the ad business, applying advanced research to relevant business scenarios, and seeking innovation opportunities to enhance business effectiveness.
• Passionate about technology, open to interdisciplinary collaborations, and experienced in building data-driven services and applications.
• A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment is required.

Preferred Qualifications: NICE-TO-HAVES
• Experience in digital video advertising or digital marketing domain
• Experience with CTR/CVR model, generative AI.
• Experience with feature store, audience segmentation and MLOps
• Experience with Tensorflow, Kubeflow or Sagemaker

Required Education: MS/PHD is preferred

Our benefits package includes: (EXCLUDE on perm placements)

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.

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