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Develops advanced deep learning models for audio processing on embedded devices, optimizing quality and efficiency while experimenting with novel neural architectures and research innovations.
Senior AI engineer on Apple's System RF Smart Data Ecosystem team, architecting and deploying internal generative-AI and multi-agent systems that automate hardware engineering tasks and analyze wireless design/manufacturing data. Core stack: Python (async), FastAPI/Flask, agent frameworks (MCP, A2A), and multi-provider LLMs.
Senior ML engineer builds and deploys scalable AI pipelines for materials, chemistry and physical sciences, using PyTorch, cloud infra and production-grade MLOps.
Summer 2027 internship (10-12 weeks, on-site in Austin, TX) at defense startup Allen Control Systems, working alongside engineers on real-time computer vision for the Bullfrog counter-drone system — detecting and tracking aerial threats, building training data pipelines, and getting models to run on embedded hardware like NVIDIA Jetson using Python/PyTorch.
Build and integrate core AI capabilities into a secure enterprise platform, deploying foundation models and optimizing scalable ML systems for reliability and performance.
Lead a team of Applied Scientists building AI/ML features for Datadog’s Product Analytics suite, including event understanding, conversational analytics, and session-replay issue detection.
Staff-level machine learning engineer at ZipRecruiter who designs, builds, and leads advanced ML projects (e.g., salary prediction) over massive datasets of job postings and job-seeker events, while owning ML system architecture, data pipelines, and mentoring other ML engineers. Core work spans ML algorithms, experimentation, and frameworks like TensorFlow, PyTorch, and scikit-learn.
Senior machine learning engineer at ZipRecruiter who designs, builds, and maintains ML models over huge job-market data (e.g., predicting salaries for job postings), including data cleaning, model evaluation, and hyperparameter/feature tuning. Core tech: ML algorithms, TensorFlow/PyTorch/scikit-learn, deep learning architectures, and NLP libraries like NLTK, SpaCy, and BERT.
Designs and deploys ML models to automate high-definition map creation for autonomous driving, using computer vision and generative AI techniques.
Staff ML Engineer/Data Scientist acting as a technical anchor for ZipRecruiter's ML capabilities — designing recommendation, matching, ranking, and retrieval systems for its two-sided job marketplace. Work spans deep learning (PyTorch/TensorFlow), distributed training, A/B testing, low-latency production ML, and mentoring engineers.
Senior deep learning engineer building state-of-the-art computer-vision perception for Shield AI's autonomous platforms, taking models from research to real-time edge deployment. Core work spans CNNs/transformers, foundation models, and frameworks like PyTorch/TensorFlow, plus embedded optimization (pruning, quantization) and MLOps.
Build and maintain scalable ML platforms and MLOps workflows (data pipelines, model training/deployment, experiment tracking, monitoring) on AWS and Databricks to support drug discovery and development at Amgen. Remote within the US; core stack includes Python, MLflow/Kubeflow, Terraform, Docker/Kubernetes, Spark, and LLM/protein language models.
Staff deep learning engineer at defense-tech company Shield AI, researching and building computer-vision perception systems for autonomous platforms and deploying deep-learning models to edge devices, working with frameworks like PyTorch and TensorFlow.
Senior Engineering Manager leading Checkr's ML Engineering team in San Francisco (3+ days/week in office), owning ML strategy across product intelligence (NLP, entity resolution), fraud detection, and ML/agent infrastructure for background-check products. Core stack spans Python, AWS/SageMaker, LLM systems, Snowflake, and Spark.
A Senior Machine Learning Scientist at Fin (Intercom) identifies product problems that ML can solve, researches suitable algorithms, runs exploratory data analysis and offline evaluation, and partners with product, design, and engineers to ship models into production. The role centers on applied ML (supervised, unsupervised, transformer models) with a strong product focus in Berlin's new R&D hub.
Designs and deploys machine learning models to power an AI customer support agent, focusing on NLP and deep learning to improve customer experience across sales, service, and ecommerce.
Design and deploy machine learning models to enhance an AI customer support agent, using NLP and deep learning while collaborating with product teams.
Cedar is hiring an engineering manager to lead the machine learning team behind the Personalization Engine in Cedar Pay. Day to day: own the ML lifecycle end to end — from MLOps (feature stores, deployment, monitoring) to modeling — while contributing hands-on code in Python/SQL and managing two ML engineers.
Clarapath, a medical robotics company in Hawthorne, NY, is hiring an on-site Computer Vision Engineer to develop, train, and deploy vision and ML algorithms for its SectionStar and TrimStar Pro lab automation platforms, working hands-on with imaging hardware and robotics across the product lifecycle using Python/C++, OpenCV, and PyTorch/TensorFlow.
Founding-level AI/ML engineer at an early-stage AI recruiting marketplace, owning the intelligence layer behind candidate-role matching: recommendation engines, ranking algorithms, and LLM-powered features, plus production data pipelines and backend services. Stack includes TypeScript/React, Supabase/Prisma, and Python with PyTorch or TensorFlow.
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