
About Lyric
Where boutique hotel meets spacious apartment living
Key Highlights
- Headquartered in San Francisco, California
- Developing software through Wheelhouse for pricing optimization
- Offers unique travel spaces in major cities
- Team size of 51-200 employees
Lyric is a hospitality company headquartered in San Francisco, California, that offers unique travel spaces blending boutique hotel luxury with apartment-style comfort. With a focus on technology, Lyric is developing software through Wheelhouse to enhance their guest experience and optimize pricing ...
🎁 Benefits
Lyric offers competitive salaries, equity options, flexible PTO, and a remote work policy that supports work-life balance. Employees also benefit from...
🌟 Culture
Lyric fosters a tech-driven culture that emphasizes innovation in hospitality. The company values creativity and encourages employees to contribute id...
Skills & Technologies
Overview
Lyric is hiring an ML (Data) Platform Engineer to build and optimize AI solutions for supply chains. You'll work with technologies like Python and ClickHouse, and leverage frameworks such as SageMaker and TensorFlow. This position requires experience in data infrastructure and machine learning platforms.
Job Description
Who you are
You have a strong background in machine learning and data engineering, with at least 3-5 years of experience in building and optimizing data platforms. Your expertise in Python allows you to develop robust data pipelines and machine learning models that drive business decisions. You possess a solid understanding of modern data infrastructure, including tools like ClickHouse and Apache, which enables you to create scalable solutions for complex supply chain challenges.
You are familiar with AutoML frameworks such as SageMaker and TensorFlow, which you have used to streamline model training and deployment processes. Your product thinking skills help you anticipate user interactions with the system, ensuring that the solutions you build are user-friendly and effective. You thrive in collaborative environments, working closely with cross-functional teams to deliver impactful AI solutions.
Desirable
Experience with composable, user-extensible systems is a plus, as is familiarity with data lakes and other modern data storage solutions. You have a knack for breaking down ambiguous platform problems and enjoy tackling challenges that require innovative thinking. Your ability to communicate complex technical concepts to non-technical stakeholders makes you an asset in any team.
What you'll do
As an ML (Data) Platform Engineer at Lyric, you will be responsible for designing and implementing scalable data solutions that leverage AI to optimize supply chain operations. You will work closely with data scientists and product managers to understand their needs and translate them into technical requirements. Your role will involve building data pipelines that ensure high-quality data is available for machine learning models, enabling the company to make data-driven decisions.
You will also be tasked with optimizing existing algorithms and developing new ones to enhance the performance of our AI platform. This includes conducting experiments to evaluate the effectiveness of different approaches and iterating on your designs based on feedback and results. Collaboration is key, as you will partner with engineering teams to integrate your solutions into the broader platform architecture.
What we offer
At Lyric, we are committed to building a diverse and inclusive workplace where everyone can thrive. We offer competitive compensation packages, including benefits that support your well-being and professional growth. You will have the opportunity to work on cutting-edge technology that is transforming the supply chain industry, making a real impact on how businesses operate.
Join us in our mission to revolutionize supply chain management through AI. We encourage you to apply even if your experience doesn't match every requirement — your unique perspective could be just what we need to drive innovation forward.
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