Speechify · 2 months ago
AI Infrastructure Engineer [US]
United States
Full-time
Remote
Mid Level
$140K/yr - $200K/yr
3+ years expSpeechify is a company dedicated to making reading accessible to everyone, with over 50 million users of their text-to-speech products. They are seeking an AI Infrastructure Engineer to design, develop, and optimize the infrastructure for their machine learning initiatives, enabling efficient model training, deployment, and monitoring.
Information TechnologyReading AppsSoftware
Responsibilities
Build & Scale AI Infrastructure: Design, implement, and maintain high-performance ML training and inference platforms
Develop MLOps Tools: Ship tools that allow any ML engineer to deploy a model in minutes, not days
Optimize Performance: Improve scalability, reliability, and cost efficiency of model training and serving systems
Collaborate Across Teams: Partner with researchers to turn experimental voice models into production-ready systems
Ensure Best Practices: Establish standards for model versioning, testing, monitoring, and governance
Drive Automation: Automate data/model pipelines to reduce manual intervention and speed up experimentation
Qualification
Required
3+ years in Software Engineering or ML Platform/Infrastructure roles, with a focus on distributed systems, cloud services, or MLOps
Proficiency in Python (or similar), containerization (Docker, Kubernetes), CI/CD pipelines, Kubernetes, Cloud proficiency
Strong knowledge of cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code tools (Terraform, CloudFormation)
Experience with ML frameworks (TensorFlow, PyTorch, or similar) and orchestration tools (Kubeflow, Airflow, MLflow)
Deep understanding of data pipelines, model deployment, real-time inference systems, and reliability of AI systems
Strong communication skills and the ability to work across engineering and data science teams
Hands-on with CI/CD and Model Serving
Preferred
Experience with feature stores, vector databases, or large-scale model training
Familiarity with streaming data technologies (Kafka, Spark Streaming, Flink)
Knowledge of monitoring/observability tools (Prometheus, Grafana, Datadog)
Contributions to open-source ML/MLOps projects
GPU optimization (TensorRT, ONNX, vLLM, Triton)
Experience with low-latency audio/streaming systems
Familiarity with vector DBs or feature stores
Benefits
Competitive compensation
A welcoming atmosphere
A commitment to an exceptional asynchronous work culture
The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain
Company
Speechify
Speechify is a mobile and desktop app that allows people with dyslexia and low vision to read out using text to speech voice.
51-200 employees
H1B Sponsorship
Speechify has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (4)
2024 (1)
2023 (1)
2022 (3)
Funding
Current Stage
Growth StageTotal Funding
unknown2020-01-01Seed
2017-02-22Seed
Leadership Team
Cliff Weitzman
Founder CEO
Recent News
2025-11-25
Company data provided by crunchbase