Adversarial Machine Learning Engineer - Red Teaming

Senior Machine Learning Engineer, Customer Support Engineering

You will develop and optimize novel ML systems and Agentic AI technologies to transform Airbnb's customer service experience. This involves collaborating cross-functionally to build scalable AI solutions from conceptual stages through to production.

Machine Learning Engineer (Edge AI & Computer Vision)

You will take end-to-end ownership of machine learning models, ensuring their reliable deployment and performance on physical hardware. Additionally, you will design and optimize real-time AI pipelines while collaborating with cross-functional teams and clients.

Principal Machine Learning Engineer

You will set the technical direction for AI initiatives within Jira Service Management, designing and optimizing multi-step LLM pipelines. Additionally, you will own the quality, reliability, and performance of AI workflows while mentoring emerging engineers and driving long-term ML strategy.

Senior Machine Learning Engineer

The Senior Machine Learning Engineer will design, build, and maintain scalable machine learning models and algorithms to identify and remove child sexual abuse material online. They will collaborate with cross-functional teams and external partners to drive product requirements and ensure high-quality, automated solutions.

Staff Machine Learning Engineer, Personalization

You will design, build, and optimize machine learning models and recommendation systems to enhance user experiences across Spotify's platforms. Additionally, you will mentor team members and drive technical strategy for personalization initiatives at a global scale.

Machine Learning Engineer, Speech - Joint Audio-Video Modeling

You will design and implement state-of-the-art speech and audio generation systems, focusing on joint audio-video modeling and production inference. You will also drive the end-to-end model development lifecycle, including data curation, experimental design, and performance optimization.

Machine Learning Engineer - Model Evaluation & Experimentation

Senior Backend (AI / Machine Learning) Engineer

You will design, build, and deploy intelligent machine learning systems and data pipelines into production environments. You will also collaborate with cross-functional teams to integrate AI features into scalable backend services and cloud-native architectures.

Machine Learning Engineer III

You will lead a team of engineers to develop and deploy predictive models while driving technical direction for major workstreams. Additionally, you will partner with cross-functional teams to optimize search algorithms and mentor team members to achieve product goals.

Principal Machine Learning Engineer

The Principal Machine Learning Engineer will build and optimize machine learning models while designing and maintaining the necessary infrastructure. They will collaborate with cross-functional teams to establish data pipelines and deliver production-grade ML services for the company platform.

Machine Learning Engineer (Audio & LLM Stack)

The engineer will own the full AI stack, specifically expanding speech emotion recognition models into physics-based harmonic engines. They will also manage dual-instance production LLM infrastructure on GCP, including prompt engineering and quality monitoring.

Staff Machine Learning Engineer

You will design, build, and operate production machine learning systems from development through deployment to support ranking, recommendations, and personalization. You will also partner with cross-functional teams to solve high-impact business problems while mentoring less experienced engineers.

DSCA AI/ML Engineer (Engineer Machine Learning) Senior - 29442

Design, develop, and operationalize advanced AI/ML solutions on AWS GovCloud to modernize the Foreign Military Sales case lifecycle. Collaborate with cross-functional teams to implement generative AI, RAG architectures, and scalable data pipelines that support production machine learning capabilities.

Remote Machine Learning Engineer

Develop, train, and evaluate machine learning models while preparing and analyzing datasets for training. Collaborate with software engineers to integrate and deploy these models into production environments.

Principal Machine Learning Engineer

Lead the design and launch of strategic machine learning solutions and drive the technical roadmap for AI-driven network management. Oversee the end-to-end software development lifecycle while mentoring engineers and building scalable, production-ready ML platforms.

Sr Machine Learning Engineer (Remote - LATAM Based)

Develop and implement fast proof-of-concept LLM automations, agents, and multimodal VLM solutions for complex document processing. Collaborate with cross-functional teams to design scalable prototypes and ensure high-quality delivery through CI/CD practices.

Machine Learning Engineer, Ops

Design and scale inference infrastructure for generative audio models including TTS and ASR to ensure low-latency and reliability. Bridge the gap between research and production by optimizing model serving paths and automating CI/CD pipelines.

Machine Learning Engineer / AI Systems Engineer

Design and deploy automated educational evaluation systems using NLP, LLMs, and speech recognition to assess real-time user performance. Architect scalable Python backend services and ML pipelines for low-latency, production-grade AI applications.

Senior Machine Learning Engineer

Principal Machine Learning Engineer

Staff Machine Learning Engineer (Open to Remote)

Lead the design, deployment, and integration of scalable ML systems to process unstructured document data. Collaborate with cross-functional teams to deliver impactful AI solutions that meet strict latency and precision requirements.

Machine Learning Engineer I

The role involves owning the full ML lifecycle for Misdirected Email detection, from data wrangling and feature engineering to deployment and monitoring. You will collaborate with cross-functional teams to translate customer needs into production-grade ML solutions and conduct rigorous experiments to improve model efficacy.

Machine Learning Engineer, Outmax

Build and deploy bid optimization ML pipelines and statistical frameworks to improve campaign KPI performance. Develop production-grade backend services and integrate MCP servers to expand agentic AI offerings.

Staff Machine Learning Engineer, Agent Memory & Reasoning (University)

Develop agent memory systems and mechanisms for reasoning, curation, and storage without model retraining. Design reusable agent skills and establish benchmarks to evaluate and improve agent behavior at scale.

Senior Machine Learning Engineer

Design and deploy cutting-edge machine learning models and algorithms to optimize operational efficiencies and service delivery. Lead the full project lifecycle from ideation to maintenance while providing technical mentorship to junior team members.

Senior Machine Learning Engineer – DAS / Acoustic Sensing

Research and validate machine learning approaches for vessel detection using Distributed Acoustic Sensing (DAS) and AIS data. Develop scalable AI pipelines and proof-of-concept systems on Google Cloud to monitor subsea infrastructure.

Manager, Machine Learning Engineer (US)

Lead a team of ML engineers to design and ship state-of-the-art AI solutions, including agentic workflows and RAG pipelines. Collaborate cross-functionally with product and MLOps teams to integrate LLM-driven features into the legal technology platform.

Data Scientist / Machine Learning Engineer

Develop, deploy, and maintain production-grade machine learning pipelines and models in cloud environments. Collaborate with cross-functional teams to translate business goals into scalable AI and LLM-driven solutions.

Senior Machine Learning Engineer, Surfaces Moments

Own and improve machine learning models powering the Home feed and Shortcuts experience for millions of global listeners. Design and ship personalized recommendations and AI-powered user experiences using LLMs and production-scale ML infrastructure.