ML Specialist, Product Data Operations - Menlo Park, United States - Meta Inc

Description

Summary:

Meta is seeking a seasoned and driven technical ML Specialist to join our GenAI Product Data Operations (PDO) team. The PDO team is the backbone of Meta's machine learning and AI, powering all of Meta's AI products. As a ML Specialist on the GenAI team, you will be instrumental in steering the success of GenAI programs by offering leadership, strategic direction, and operational excellence. You will work in tandem with cross-functional teams, including researchers, engineers, and product managers, to ensure the smooth execution of GenAI programs. This is a unique chance to contribute to groundbreaking projects that will define the future of AI at Meta

Required Skills:

ML Specialist, Product Data Operations Responsibilities:

1. Collaborate closely with GenAI research, engineering, and product teams to align program objectives with broader organizational goals.
2. Apply machine learning techniques and algorithms to large sets of data, creating actionable insights for the business.
3. Identify potential risks and issues in GenAI projects, and develop mitigation strategies. Proactively manage these risks to ensure successful project delivery and data quality.
4. Communicate project status, risks, and opportunities to senior leadership and stakeholders, providing regular updates on progress and KPIs.
5. Establish and maintain quality standards for a portfolio of AI projects, implementing processes to monitor and ensure the quality of deliverables.
6. Drive process improvement initiatives to optimize machine learning methodologies and best practices.

Minimum Qualifications:

Minimum Qualifications:

1. 10+ years of experience in machine learning, data science, or a related field
2. Experience developing and implementing machine learning models and algorithms
3. Experience with SQL and database management
4. Experience communicating complex technical concepts to non-technical stakeholders
5. Experience working with new and emerging technology that evolves quickly

Preferred Qualifications:

Preferred Qualifications:

1. Bachelor's degree in Computer Science, Machine Learning, AI, or related field
2. Extensive experience in AI, machine learning, or related fields
3. Strong understanding of artificial intelligence, machine learning, and deep learning technologies
4. Proven track record of successfully delivering large-scale machine learning projects on time and within budget
5. Excellent communication and interpersonal skills, with the experience to interact effectively with cross-functional teams and senior leadership
6. Strong problem-solving and decision-making skills
7. Experience with cloud platforms like AWS, GCP, or Azure
8. Familiarity with big data technologies like Hadoop, Spark, or Hive

Public Compensation:

$186,000/year to $253,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), 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. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-