273 total jobs
56 new jobs this week
Lead the design and delivery of edge AI products, optimizing machine learning models for device constraints while developing solutions with large-scale operational data and collaborating across engineering and research teams.
Develop synthetic-data pipelines for language models, from scalable GPU inference and data generation to quality analysis, ablations, and evaluation, improving token efficiency, model quality, and training performance.
As a Principal Machine Learning Engineer, you will lead engineering initiatives to build scalable infrastructure that enhances model development and predictive accuracy across Upstart's ML teams.
Conduct research and hands-on experiments on attention-based foundation models, including distributed training, architecture improvements, and designing new tasks and benchmarks to advance the project.
Optimize real-time and streaming audio inference systems by identifying performance bottlenecks and improving latency, throughput, and quality in collaboration with model training and serving infrastructure teams.
Optimize LLM inference across the model execution stack by diagnosing bottlenecks, developing performance improvements, and collaborating with modeling and systems teams to measure and ship faster, reliable production systems.
As a Staff Machine Learning Engineer, you will design, build, and deliver AI systems, transforming complex problems into effective solutions while leading cross-functional teams.
Data Scientists will solve real-world problems by working with structured and unstructured data, focusing on productizing scalable machine learning models.
Lead a team of senior data scientists to develop ML-driven products that inform strategies for civic leaders, focusing on large language models and production systems.
Drive the technical direction of AI Mosaic, enhancing production computer vision pipelines and algorithms for automated video content censoring and mosaic generation.
As a Senior Machine Learning Engineer, you will design and deploy scalable ML systems that enhance ticket discovery, pricing optimization, and fraud detection for millions of fans.
As a Machine Learning Engineer, you will build and maintain the infrastructure for real-time fraud detection, ensuring high performance and reliability of deployed models.
As a Senior Machine Learning Engineer, you will enhance diffusion models and generative AI capabilities, conducting research and collaborating to translate prototypes into production systems.
As a Machine Learning Engineer at Reddit, you will design and build production ML systems that power core experiences across the platform, including:.
Design and build production-grade machine learning systems at Reddit, focusing on personalized recommendations, intelligent advertising, and large-scale ML pipelines.
Build and operate production machine learning systems for Reddit, spanning recommendations, search, advertising, and AI experiences, while owning the ML lifecycle and improving relevance, performance, and business outcomes.
Build and operate production machine learning systems for recommendations, search, advertising, and other core experiences, owning the ML lifecycle from problem definition and modeling through deployment and monitoring.
As a Senior Machine Learning Engineer, you'll own and enhance the Dynamic Risk Score system, ensuring effective financial crime prevention through model development and deployment.
Lead the ML Security team to develop security products focused on fraud detection, while mentoring engineers and making key architectural decisions.
Develop pretraining data pipelines for language models, evaluating data quality and mixtures through research and engineering to improve model performance, training throughput, and accelerator utilization.
Senior Machine Learning Engineers design and scale production LLM agents, retrieval pipelines, and evaluation systems, improving reasoning, reliability, and performance while shaping technical strategy and mentoring engineers.
Develop and ship large-scale text-to-image generative models for Pinterest Canvas, prototyping model architectures, shaping visual generation research, curating training data, and mentoring junior researchers.
As a Machine Learning Engineer, you will design and implement innovative ML systems, analyze large datasets, and collaborate with teams to enhance our AI capabilities.
Build and optimize scalable model-training software and infrastructure, improve training performance and tooling, and help move frontier models from research into production.
Those that list pay offer a median of $204,000 a year. The middle half pay between $178,000 and $237,000.
| Level | Range | Middle half · median |
|---|---|---|
| All levels | $178K–$237K · $204K |
56% of these listings post pay. From 34 listings with pay in USD, at most three per company.
5% of these listings are open worldwide and 5% to a whole region, like Europe or Latin America. The other 90% hire in specific countries:
From 147 listings that state where they hire.
What hiring companies here ask for far more often than across all remote jobs, so it is worth putting front and center on your resume.
Share of the 66 companies hiring here that ask for each skill, and how many times as often as across all remote jobs. Soft skills like communication are left out.
