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Company Overview Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice…
Design and build AI-powered web applications by developing ML models with PyTorch and integrating them into production systems via Python (FastAPI/Flask) or Java (Spring Boot) backends, with deployment on cloud or on-premise infrastructure.
This role involves conducting empirical computer science research and developing next-generation database and AI data infrastructure. The engineer will design and prototype high-performance data management systems using C, C++, Rust, or Go, while collaborating with academic institutions and internal product teams.
Founding backend engineer at a VC-backed AI startup building renewable energy intelligence, working day-to-day on Python/TypeScript backend, data pipelines, and enterprise-grade APIs on GCP with Postgres.
The Junior Data & AI Engineer will design and build scalable data pipelines and generative AI solutions using cloud architectures, Big Data processing, and LLM frameworks. The role involves working with Python, Java, or Scala to develop ETL processes and integrate AI models into production environments.
This role involves building and maintaining scalable, high-performance distributed storage systems and data lake architectures. The engineer will design database components and implement both offline and real-time data processing frameworks using technologies like C++, Java, and various distributed systems tools.
The Senior Data Scientist will lead end-to-end machine learning projects, from business problem conception to deployment and monitoring, within a healthcare environment. The role focuses on building scalable AI solutions using Python, GCP, and MLOps practices, while mentoring junior team members.
Software Developer for Simulation and GenAI at Airbus Defence and Space, building applications using C++, Python, and ML libraries (TensorFlow, PyTorch, Ray) in an agile environment.
The Applied AI Scientist will design and develop AI solutions, including agentic systems and foundation models, to solve real-world business problems. The role involves rapid prototyping, fine-tuning models, and collaborating with engineering teams to deploy scalable AI applications using Python and PyTorch.
Leads AI software platform initiatives at NVIDIA’s DGX Cloud, managing cross-functional programs for scalable, reliable AI workloads across cloud infrastructure and system integration.
4-month co-op ML Software Engineer at RBC Borealis, building ML-based software solutions end-to-end—from data ETL using Hadoop/Spark to implementing ML algorithms and front-end development—within a major bank's AI innovation lab.
Co-op ML Software Engineer at RBC Borealis building end-to-end machine learning software solutions—from data pre-processing and algorithm implementation to front-end development—using Python/C++/Java and distributed frameworks like Hadoop and Spark.
Senior AI Engineer at RBC building production agentic AI and generative AI systems — including MCP servers, RAG pipelines, and multi-agent workflows — using Python, LLMs, and cloud platforms.
Build and scale ML systems for generative AI, NLP, and time-series analysis in RBC’s fintech AI accelerator, owning end-to-end ML product development from data to deployment.
Build and optimize cloud-native observability and data infrastructure services using AWS, C++, and stream/data processing tools like Flink, Kafka, Spark, and ClickHouse, with exposure to AI/ML workloads including LLM inference.
Builds scalable real-time recommendation systems and distributed data infrastructure, integrating cloud services and AI/ML models to analyze user behavior and optimize software performance.
Data Science Engineer developing, validating, and deploying ML, Deep Learning, and Generative AI models into production, while building data pipelines and supporting model monitoring using Python, SQL, and standard data science libraries.
The Data Engineer will design and develop data environments to support Advanced Analytics and AI projects, working closely with clients to translate business needs into technical solutions using Python, SQL, Snowflake, and DBT.
Develops AI-driven cost estimation tools for aerospace engineering, using Python/Node.js to process technical data and support predictive analytics in Agile sprints.
The Senior Data Engineering Manager leads a team of data scientists and engineers to develop data-driven perception and planning solutions for autonomous driving systems. The role involves defining technical strategy, managing large-scale data pipelines, and collaborating across global teams to improve ML model performance.
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