Senior Software Engineer (Backend - Scribe)
As a Senior Software Engineer working closely with the Engineering Manager for Transcription and Note Generation, you will develop AI-powered solutions that transform clinical conversations into structured medical documentation. Your responsibilities include designing and developing robust, scalable systems for real-time processing and examination of clinical conversations, collaborating with the AI/ML team to integrate and optimize medical speech transcription and note generation, designing, building, and maintaining APIs and services for transcription and note generation capabilities, implementing systems to ensure high accuracy and reliability in medical documentation generation, optimizing performance for real-time results in clinical settings, and contributing to the overall architecture and best practices for scalable and maintainable systems.
Freelance Machine Learning Engineer (Python)
As a Machine Learning expert on the Mindrift platform, responsibilities include designing original computational STEM problems that simulate real scientific workflows, creating problems that require Python programming to solve, ensuring problems are computationally intensive and cannot be solved manually within reasonable timeframes, developing problems that require non-trivial reasoning chains and creative problem-solving approaches, verifying solutions using Python with standard libraries such as numpy, pandas, scipy, and sklearn, and clearly documenting problem statements while providing verified correct answers.
Freelance Machine Learning AI Trainer (Python)
Design original computational STEM problems that simulate real scientific workflows, create problems that require Python programming to solve, ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes, develop problems requiring non-trivial reasoning chains and creative problem-solving approaches, verify solutions using Python with standard libraries such as numpy, pandas, scipy, and sklearn, and document problem statements clearly while providing verified correct answers.
Safety Engineer
The AI Safety Engineer is responsible for designing and building scalable backend infrastructure for content moderation, abuse detection, and agents guardrails by deploying AI/ML models into production systems. They will architect robust APIs, data pipelines, and service architectures to support real-time and batch moderation workflows. The role includes implementing comprehensive monitoring, alerting, and observability systems, establishing SLIs, SLOs, and performance benchmarks. The engineer will collaborate with ML engineers to translate research models into production-ready systems and integrate them across the product suite. Additionally, they will drive technical decisions and contribute to the vision for the safety roadmap to build next-generation platform guardrails for scale and precision.
Freelance Electrical Engineer with Python Experience - AI Trainer
Contributors may design rigorous electrical engineering problems reflecting professional practice, evaluate AI solutions for correctness, assumptions, and constraints, validate calculations or simulations using Python (NumPy, Pandas, SciPy), improve AI reasoning to align with industry-standard logic, and apply structured scoring criteria to multi-step problems.
AI Engineer
As an AI Engineer, you will lead the development of high-impact AI systems, architect how the AI detects risks in real-time, and ensure the search infrastructure is robust, fast, and accurate. You take full accountability for the AI systems you build, from initial discovery and RAG architecture to production deployment and monitoring. You challenge the purpose and methods to ensure the AI effectively solves user problems with high precision. You will architect hybrid search methods combining vector databases and LLMs, and build scalable backend logic. You raise the team’s standards through benchmarking, continuous model evaluation, and maintaining a "ship fast, but never broken" mentality. You also provide mentorship, fostering a culture of curiosity, precision, and continuous learning in the AI space.
Senior Machine Learning Engineer - Australia
As a Senior Machine Learning Engineer at Neara, you will create machine learning models that drive the digitisation of real-world infrastructure from various data sources such as LIDAR, imagery, and vector data. You will work at every stage of the ML lifecycle, including data collection, quality assurance, training, and model monitoring. You will decide which problems are suitable for machine learning solutions, define the ML strategy, and stay updated with best practices in data handling, MLOps, and the latest advancements in machine learning to integrate new techniques into the platform. Responsibilities also include developing approaches to generate accurate electric networks from imperfect data using deep learning and classical ML algorithms, developing and optimizing training pipelines, scaling model serving for different problems, improving model QA speed and identifying data and distribution drift, working with diverse data sources and building scalable data pipelines for training and serving, and mentoring junior engineers in best practices for model training and software engineering.
AI / ML Solutions Engineer
The AI / ML Solutions Engineer at Anyscale is responsible for designing, implementing, and scaling machine learning and AI workloads using Ray and Anyscale directly with customers. This includes implementing production AI / ML workloads such as distributed model training, scalable inference and serving, and data preprocessing and feature pipelines. The role involves working hands-on with customer codebases to refactor or adapt existing workloads to Ray. The engineer advises customers on ML system architecture including application design for distributed execution, resource management and scaling strategies, and reliability, fault tolerance, and performance tuning. They guide customers through architectural and operational changes needed to adopt Ray and Anyscale effectively. Additionally, the engineer partners with customer MLE and MLOps teams to integrate Ray into existing platforms and workflows, supports CI/CD, monitoring, retraining, and operational best practices, and helps customers transition from experimentation to production-grade ML systems. They also enable customer teams through working sessions, design reviews, training delivery, and hands-on guidance, contribute feedback to product, engineering, and education teams, and help develop reference architectures, examples, and best practices based on real customer use cases.
Software Engineer, macOS Core Product - Virginia Beach, USA
Work alongside machine learning researchers, engineers, and product managers to bring AI Voices to customers for diverse use cases. Deploy and operate the core machine learning inference workloads for the AI Voices serving pipeline. Introduce new techniques, tools, and architecture to improve performance, latency, throughput, and efficiency of deployed models. Build tools to identify bottlenecks and sources of instability, then design and implement solutions addressing the highest priority issues.
Software Engineer, macOS Core Product - Rialto, USA
Work alongside machine learning researchers, engineers, and product managers to bring AI Voices to their customers for diverse use cases. Deploy and operate the core ML inference workloads for the AI Voices serving pipeline. Introduce new techniques, tools, and architecture to improve the performance, latency, throughput, and efficiency of deployed models. Build tools to gain visibility into bottlenecks and sources of instability and design and implement solutions to address the highest priority issues.
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