Mechanical Licensing Collective Logo

Mechanical Licensing Collective

Sr. Software Engineer - Matching

Reposted 25 Days Ago
Be an Early Applicant
In-Office or Remote
2 Locations
Senior level
In-Office or Remote
2 Locations
Senior level
Lead the Data Platform team and manage projects while ensuring high performance and stability of data platforms. Collaborate with leaders to enhance systems, fostering a strong Agile culture within the team.
The summary above was generated by AI

Are you interested in joining a purpose-driven company in the music industry? Do you thrive in a collaborative, hybrid work environment? If you do, we would like to get to know you.

 WORKING AT THE MLC

The MLC is committed to excellence, service and transparency. Our culture is collaborative, and our team works in a hybrid environment. On our team, you are respected, valued for your unique strengths and experiences, and empowered to identify and resolve your own challenges.

THE ROLE


As a Senior Software Engineer, you will design, implement, and maintain the workflows and systems that operationalize our machine learning models. You will focus on building scalable data pipelines, orchestration workflows, APIs, and infrastructure to support the matching process at scale. Your work will be essential to ensuring the reliability, performance, and maintainability of the Matching Platform.  The Matching Platform is a critical tool that enables The MLC to drive accurate royalty payments to our Members.


QUALIFICATIONS


  • Minimum five (5) years’ experience as a Software Engineer, working on data-intensive systems and Big Data platforms.
  • Strong expertise in building scalable data pipelines, REST APIs, CI/CD pipelines, and workflow orchestration with tools like Dagster.
  • Experience working with multiple programming languages, including Python, Java, and Node.js.
  • Experience with relational databases, large datastores, and document/non-relational databases.
  • Proven hands-on experience with AWS cloud services; familiarity with Terraform or other infrastructure-as-code tools is a plus.
  • Excellent collaboration and communication skills, with the ability to clearly present technical findings to both technical and non-technical audiences.

ESSENTIAL RESPONSIBILITIES


AS A TEAM MANAGER YOU WILL:

  • Design, build, and maintain workflows that support machine learning model deployment and operation.
  • Implement scalable, reliable data pipelines and REST APIs to support the Matching Platform’s functionality.
  • Collaborate with data scientists to ensure seamless integration between models and production systems.
  • Develop and maintain CI/CD pipelines and ensure best practices in code quality, testing, and deployment.
  • Work closely with data platform engineers to support system architecture, monitoring, and performance optimization.

AS A TECHNICAL LEAD YOU WILL

  • Work in an Agile environment and participate actively in team ceremonies and collaborative planning.
  • Foster constructive dialogue and seek resolution when confronted with technical challenges.
  • Uphold high standards of software and model development best practices.
  • Embrace a data-driven, collaborative, and continuous improvement mindset.
  • Training others with best practices, process designs/changes.
  • Documenting best practices, process flows and policies as required.

YOU WILL CHAMPION THE MLC’S CULTURE BY:

  • Embracing The MLC’s leadership values and applying The MLC’s Guiding Principles to your team’s work
  • Being process-oriented, data-driven, and tech-savvy; being collaborative, curious, and open to new ideas
  • Building a dynamic team; mentoring team members; developing future leaders
  • Inspiring others with your enthusiasm and humility

THE MLC IS AN EQUAL OPPORTUNITY EMPLOYER THE MLC DOES NOT MAKE EMPLOYMENT DECISIONS BASED ON RACE, COLOR, RELIGION OR RELIGIOUS BELIEF, ETHNIC OR NATIONAL ORIGIN, SEX, GENDER, GENDER-IDENTITY, SEXUAL ORIENTATION, MARITAL STATUS, CITIZENSHIP STATUS, DISABILITY, AGE, MILITARY OR VETERAN STATUS, OR ANY OTHER CATEGORY PROTECTED BY LOCAL, STATE, OR FEDERAL LAW. THIS POLICY APPLIES TO ALL TERMS AND CONDITIONS OF EMPLOYMENT, INCLUDING RECRUITING, HIRING, PLACEMENT, PROMOTION, TERMINATION, LAYOFF, TRANSFER, LEAVES OF ABSENCE, AND COMPENSATION.

Top Skills

Airflow
AWS
Dagster
Prefect
Terraform

Similar Jobs

17 Minutes Ago
Remote or Hybrid
New York, NY, USA
185K-327K Annually
Senior level
185K-327K Annually
Senior level
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
The Enterprise Account Executive is responsible for selling the Square platform to enterprise clients, leading complex deal negotiations, and representing the company at industry events. They must build strong relationships with C-level executives, oversee the sales cycle, and collaborate across various internal teams.
Top Skills: SaaS
17 Minutes Ago
Remote or Hybrid
8 Locations
195K-343K Annually
Senior level
195K-343K Annually
Senior level
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
As a Senior Machine Learning Engineer, you'll design and launch AI-driven solutions, collaborate across teams, and drive AI innovation at Block, focusing on customer-centric products.
Top Skills: AICloud PlatformsMachine LearningMlops
47 Minutes Ago
Remote or Hybrid
Detroit, MI, USA
Senior level
Senior level
Cloud • Fintech • Software • Business Intelligence • Consulting • Financial Services
The role involves managing tax returns, advising clients on tax law changes, leading engagements, and developing client relationships.
Top Skills: Cch AxcessMicrosoft Office Suite

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account