Machine Learning Engineer

Company Description

TIDAL is a global music and entertainment streaming platform committed to creating a deeper connection between artists and fans through its library of more than 80 million songs, over 350,000 high quality videos, and available in over 60 countries. In addition, TIDAL offers its subscribers exclusive access to high-profile music and music videos, original content series, podcasts, documentaries, livestream concerts, tickets, merchandise and live experiences. Together, TIDAL and Block will be music-obsessed and artist-focused while we explore new artist tools, listener experiences, and access to financial systems that help artists be more successful.

Job Description

We are seeking machine learning engineers to join us in building our artist platform and help economically empower rising artists. The primary purpose of the Personalization team is to connect artists and fans in meaningful ways. Machine learning is the main driver of personalization in our team. We want every artist and fan to have their own individual version of TIDAL, each with their own homepage, personalized playlists, and recommendations. 

You will report to the personalization lead.

You Will:

• Build production features that personalize the artists’ experience on the platform
• Analyze large datasets and extract the most relevant features
• Use Databricks and AWS to prototype and productionize your models at scale
• Contribute to building and improving our infrastructure for experimentation, development, and model serving
• Collaborate with a cross functional team of designers, product managers and software engineers to build new technologies and features

Qualifications

You Have:

• 5+ years of professional experience with recommended systems, ranking systems, or similar
• Hands-on experience deploying machine learning systems at scale using Python
• Experience building data pipelines for getting the data needed to build and evaluate models using tools like PySpark
• Experience with at least one deep learning framework such as PyTorch, Tensorflow, etc.
• Experience working with cloud services, preferably AWS
• Significant experience demonstrating your ability to deliver results and make tradeoffs between idealistic solutions and product impact
• Good communication and cooperation skills

Preferred Skills:

• PySpark
• Databricks
• AWS
• Airflow or other job orchestration tools
• AB testing
• SageMaker
• Pytorch

Additional Information

Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

Zone A: USD $167,300 - USD $204,500
Zone B: USD $158,900 - USD $194,300
Zone C: USD $150,600 - USD $184,000
Zone D: USD $142,200 - USD $173,800

To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information. 

Benefits include the following:

• Healthcare coverage
• Retirement Plans including company match 
• Employee Stock Purchase Program
• Wellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance 
• Paid parental and caregiving leave
• Paid time off
• Learning and Development resources
• Paid Life insurance, AD&D. and disability benefits 
• Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources 

This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.

We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, citizenship