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Machine Learning Architect
2 months ago
We are seeking a highly skilled Software Development Lead to join our team at Meta. As a key member of our engineering team, you will be responsible for driving the technical direction of our machine learning initiatives and leading a team of engineers to deliver high-impact projects.
Key Responsibilities- Drive the technical direction of our machine learning initiatives and lead a team of engineers to deliver high-impact projects.
- Effectively communicate complex technical concepts and systems to both technical and non-technical stakeholders.
- Stay up-to-date with industry and company-wide trends to identify opportunities for innovation and improvement.
- Partner with organization leaders to improve the performance of the team and organization.
- Identify new opportunities for growth and influence the appropriate stakeholders to prioritize and staff these initiatives.
- Develop highly scalable machine learning models and tools leveraging data regression, rules-based models, and parallel environments.
- Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field.
- 12+ years of experience in programming languages such as Python, C++, Java, or R.
- 8+ years of experience in machine learning, recommendation systems, pattern recognition, NLP, data mining, or artificial intelligence.
- Experience leading projects with industry-wide impact and communicating across functions to drive solutions.
- Proven track record of planning multi-year roadmaps and driving large cross-functional engineering efforts.
- Experience shipping products to millions of customers or starting a new line of product.
- Experience with Hadoop, HBase, Pig, MapReduce, Sawzall, Bigtable, Hive, or Spark.
We offer a competitive salary range of $213,000 to $293,000 per year, plus bonus, equity, and benefits.
About MetaMeta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, sex, sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.