Machine Learning Engineer: 24-02730 - Akraya Inc.
San Francisco, CA 94109
About the Job
Primary Skills: Python (Expert), Machine Learning (Expert), Data Engineering (Advanced), ETL (Advanced)
Contract Type: W2
Duration: 24 Months
Location: San Francisco, CA / New York, NY / Seattle, WA
Pay Range: $80 - $90 Per Hour on W2
JOB SUMMARY:
We are seeking a Senior Machine Learning Engineer to join our team dedicated to advancing the recommendation and personalization algorithms within the Streaming suite. In this role, you will lead the research, development, and optimization of cutting-edge machine learning algorithms to achieve strategic product personalization goals while collaborating with Engineering, Product, and Data teams. You'll also be instrumental in driving the roadmap for content recommendation and personalization, optimizing operational processes, and working alongside stakeholders to fulfill product and company objectives.
JOB RESPONSIBILITIES:
JOB REQUIREMENTS:
ABOUT AKRAYA
Akraya is an award-winning IT staffing firm consistently recognized for our commitment to excellence and a thriving work environment. Most recently, we were recognized Inc's Best Workplaces 2024 and Silicon Valley's Best Places to Work by the San Francisco Business Journal (2024) and Glassdoor's Best Places to Work (2023 & 2022)!
Industry Leaders in IT Staffing
As staffing solutions providers for Fortune 100 companies, Akraya's industry recognitions solidify our leadership position in the IT staffing space. We don't just connect you with great jobs, we connect you with a workplace that inspires!
Join Akraya Today!
Let us lead you to your dream career and experience the Akraya difference. Browse our open positions and join our team!
Contract Type: W2
Duration: 24 Months
Location: San Francisco, CA / New York, NY / Seattle, WA
Pay Range: $80 - $90 Per Hour on W2
JOB SUMMARY:
We are seeking a Senior Machine Learning Engineer to join our team dedicated to advancing the recommendation and personalization algorithms within the Streaming suite. In this role, you will lead the research, development, and optimization of cutting-edge machine learning algorithms to achieve strategic product personalization goals while collaborating with Engineering, Product, and Data teams. You'll also be instrumental in driving the roadmap for content recommendation and personalization, optimizing operational processes, and working alongside stakeholders to fulfill product and company objectives.
JOB RESPONSIBILITIES:
- Lead the development and maintenance of advanced machine learning algorithms for personalization and recommendation.
- Devise and maintain ETL pipelines and scalable data systems to manage large-scale datasets.
- Uphold and innovate algorithm development, testing, and deployment standards.
- Collaborate closely with product and business teams to identify new personalization opportunities and enhance data collection and analysis practices.
- Explain methodologies and manage stakeholder expectations across technical and non-technical teams.
JOB REQUIREMENTS:
- 3+ years of experience working as Machine Learning Engineer.
- Proficient in Python and other scalable coding languages for production-level applications.
- Extensive experience in developing and deploying machine learning algorithms to production.
- Strong background in data engineering and familiarity with tools like Airflow, Jenkins, and orchestration of petabyte scale datasets.
ABOUT AKRAYA
Akraya is an award-winning IT staffing firm consistently recognized for our commitment to excellence and a thriving work environment. Most recently, we were recognized Inc's Best Workplaces 2024 and Silicon Valley's Best Places to Work by the San Francisco Business Journal (2024) and Glassdoor's Best Places to Work (2023 & 2022)!
Industry Leaders in IT Staffing
As staffing solutions providers for Fortune 100 companies, Akraya's industry recognitions solidify our leadership position in the IT staffing space. We don't just connect you with great jobs, we connect you with a workplace that inspires!
Join Akraya Today!
Let us lead you to your dream career and experience the Akraya difference. Browse our open positions and join our team!
Source : Akraya Inc.