Software Engineer (Data & Evals)

Onsite in San Francisco, RediRecruit invites a Software Engineer focused on Data and Evals to build and scale data infrastructure for large-scale AI and ML systems. This role centers on speech-to-speech data pipelines and productionizing research within a collaborative, in-person team environment.

Benefits

• Competitive base salary of USD 180,000 to 250,000 per year
• Significant equity as an early founding team member
• Immigration support
• Fully covered medical, dental, and vision insurance
• 401(k) retirement plan
• In-person teamwork in San Francisco
• Opportunity to work with 100+ TBs of data and large-scale AI models
• Small team with high ownership and fast decision-making

Responsibilities

• Build and scale infrastructure and distributed data pipelines for large-scale AI/ML systems
• Process and manage tens to hundreds of terabytes of multimodal data
• Support data systems used for training, evaluation, and improvement of speech-to-speech AI models
• Work on batch processing, real-time streaming, and distributed orchestration systems
• Build reliable pipelines for speech data transformation, filtering, evaluation, and model improvement
• Collaborate closely with a small, high-performing engineering and research team
• Help move cutting-edge AI research into real-world production environments

Requirements

• Experience building infrastructure and distributed data pipelines to process tens to hundreds of terabytes of data
• Experience working with multimodal data in AI/ML products or systems
• Strong experience with batch processing, real-time streaming systems, and distributed orchestration
• Hands-on experience with tools or technologies such as Spark, Kafka, Flyte, Kubernetes, or similar systems
• Strong software engineering fundamentals and ability to build reliable, scalable systems
• Demonstrated ability to learn quickly and adapt in a fast-paced startup environment
• Strong ownership mindset and ability to work independently with high autonomy
• Must be comfortable working in person with the team in San Francisco

Technologies

• Spark
• Kafka
• Flyte
• Kubernetes

Interview process

• 30 minute introductory conversation
• Two technical interviews
• Two culture interviews
• Onsite collaboration session with the team to work on a data system

Nice to have

• Early-stage startup experience
• Independent project, startup, side hustle, or open-source work
• Experience creating transformation pipelines for speech processing
• Experience with transcription, diarization, speech enhancement, filtering, or audio data processing
• Experience working with large-scale AI models or machine learning infrastructure
• Interest in voice AI, speech systems, conversational AI, or multimodal AI products