Scalence L.L.C. · 15 hours ago
AIML - Sr. Backend Software Engineering
Scalence L.L.C. is at the forefront of innovation in Foundation Models, and they are seeking a Senior Software Engineer to contribute to enhancements in model optimization for intelligence features. The role involves spearheading backend innovations, identifying areas where data can enhance model training, and experimenting with data augmentation strategies.
Information Technology & Services
Responsibilities
Develop training data pipelines: Transform raw data into formats suitable for training jobs on cloud platforms
Utilize internal and open-source training modules
Conduct large-scale inferences: Use internal and open-source stacks to generate inferences with fine-tuned models on vast datasets
Process and filter large datasets efficiently, often dealing with complex data
Create scalable web services backends and APIs to support data access and inspection tools
Qualification
Required
BS in Computer Science or equivalent
10 years of programming experience in Python with extensive knowledge in concurrency, parallelism, functional programming, and decorators
Familiarity with other programming languages such as Java, GoLang, Rust, or Swift is a plus
Proficient in REST API, Redis, VectorDB, or other large-scale data storage systems
Strong foundational programming skills including algorithms, data structures, and OOP
Experience in designing, writing, reviewing, testing, and delivering software for large-scale applications and systems
Preferred
Familiarity with stream-processing tools like Kafka and various build tools such as Jenkins, Maven, Docker, and Gradle
Experience in providing architectural and design guidance
Excellent communication skills with active listening and empathy
Self-motivated, curious, and committed to continuous learning
Demonstrated creative and critical thinking skills with a drive to improve processes
High tolerance for ambiguity
Company
Scalence L.L.C.
In today’s dynamic and competitive market, success hinges on mastering three key areas: Data Intelligence, Business Resilience, and Digital Experience.
Funding
Current Stage
Late StageCompany data provided by crunchbase