Senior Machine Learning Engineer
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Job Description
Senior Machine Learning Engineer developing core ML models and data pipelines for a gaming company. Seeking an autonomous engineer with deep passion for video games.
Responsibilities:
- Be a driving force behind our core ML models and underlying data and training pipelines.
- Own your projects end-to-end and seamlessly explain complex technical concepts to both technical and non-technical stakeholders.
- Have deep passion for video games and think on behalf of our players.
- Be curious, a problem solver and a self-starter who is comfortable taking risks and proactively identifying and pursuing business needs. Know how and when to apply your knowledge, and be willing to share it with those around you.
- Be responsible for your domain of expertise on projects from inception to delivery and beyond.
Requirements:
- 5+ years of experience in Machine Learning, Data Engineering, or a related quantitative field, with a track record of delivering end-to-end ML products
- Expert knowledge of statistical modeling and ML methods including Classical ML, Deep Learning, NLP, and Anomaly Detection, with the ability to select the right tools for the task
- Demonstrated proficiency in experimental design, hypothesis testing, and evaluating model performance
- Proven track record of building and deploying scalable ML solutions in production, ideally using Kubernetes and GCP
- Strong proficiency in Python, Java, or Scala, with an emphasis on writing clean, maintainable, and production-ready code, alongside the ability to write highly optimized SQL for complex dataset construction
- Mastery of optimized SQL and experience with big data processing frameworks (e.g., Spark, Beam) and modern data lakehouse formats (e.g., BigQuery, Snowflake, Iceberg, Parquet)
- Exceptional ability to translate complex technical architectures and ML concepts for non-technical stakeholders
Benefits:
- Paid Time Off, Holidays and Two Weeks Winter Break
- Employees and their dependents get medical, dental, and vision coverage, regardless of their level, tenure, or position within the company. Moreover, these benefits start on the first day of the job—there’s no waiting period before they kick in.
- Pet Insurance for those who need it too.
- Compassionate leave for employees who needs to take care of their family members
- Pre-tax wellness stipend
- Pre-tax work from home stipend
- Access our savings plan (401K program) with company match
- Mental health resources including Headspace membership and Employee Assistance Program (EAP)
- Discount portal for everyday goods and services
- Employee inclusive and diversity initiatives such as Grow Together
- Support for personal professional development
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