Senior Machine Learning Scientist

Why Data Science and Analytics

The Data Science & Analytics organization's mission is to increase our speed, frequency, and acumen in making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum, including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling, and machine learning. Aligned and partnering with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products, and measure impact on our community of players and developers.

Responsibilities

• Develop, build, and support large scale forecasting systems for business growth
• Develop, build, and support modeling of long-term user outcomes
• Design and implement batch prediction infrastructure that ensures high-levels of accuracy, provides explainability, and quantifies uncertainty
• Collaborate with data science and product partners to unlock causal understanding of our business growth and to develop scalable solution for measuring ecosystem health
• Model and promote a high bar for technical excellence in the broader data science and ML community
• Communicate strategic findings to influence company and team-level roadmaps
• Partner with Data Engineering and Data Platform teams to ensure model development, reporting, and monitoring systems are built in a reliable and robust way

Requirements

• 5+ years of industry experience in prototyping and building scalable machine learning solutions
• Experience building scalable and robust ETL data and ML pipelines with complex upstream dependencies and accountability for downstream consumers
• Experience with time series modeling in practice and theory. Experience with foundational time series models (i.e. transformer based) and fine tuning frameworks
• Demonstrated ability to lead project areas from scratch, and break product requirements into iterative deliverable stages
• Strong communication skills to connect model outputs to company-level strategy and to integrate horizontal solutions into vertical team operations and systems
• An Advanced Degree (MSc or PhD) or equivalent degree in Statistics, Economics, Operations Research, Computer Science, Applied Math, Physics, Engineering, or other quantitative fields

Qualifications

• Experience with time series modeling in practice and theory. Experience with foundational time series models (i.e. transformer based) and fine tuning frameworks
• Demonstrated ability to lead project areas from scratch, and break product requirements into iterative deliverable stages
• Strong communication skills to connect model outputs to company-level strategy and to integrate horizontal solutions into vertical team operations and systems
• An Advanced Degree (MSc or PhD) or equivalent degree in Statistics, Economics, Operations Research, Computer Science, Applied Math, Physics, Engineering, or other quantitative fields

Skills

• Experience with time series modeling in practice and theory. Experience with foundational time series models (i.e. transformer based) and fine tuning frameworks
• Demonstrated ability to lead project areas from scratch, and break product requirements into iterative deliverable stages
• Strong communication skills to connect model outputs to company-level strategy and to integrate horizontal solutions into vertical team operations and systems
• An Advanced Degree (MSc or PhD) or equivalent degree in Statistics, Economics, Operations Research, Computer Science, Applied Math, Physics, Engineering, or other quantitative fields

Benefits

• Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).

Pay

The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page.

Schedule

Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).

Equal Opportunity Employer

Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process.