Position : AI Staff Machine Learning Engineer -Gen AI,Machine Learning,Graph ML,Big Data Experience : 5 to 14 Years Hybrid/Remote Our AI Core group is pioneering platforms and solutions for Generative AI, including AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning
As a Senior Machine Learning Engineer on the Data Mining team, your mission is to build the "Brain" of this engine: designing massive multimodal Teacher models that understand the world, and distilling them into hyper-efficient Student models that can scour exabytes of data in near real-time. Your w
Computer Science or related field * Strong background in Machine Learning or Computer Vision * Excellent knowledge of either Python or C/C++ Preferred Qualifications * MS/PhD degree or equivalent practical experience in Computer Science, AI, Machine Learning, or related technical field * Strong un
The role We’re looking for a Machine Learning Engineer to build and ship consumer-facing AI systems that power personalization, coaching, and next‑generation “sleep intelligence. Build and deploy ML models that improve sleep experiences through personalization, prediction, and behavior underst
Selects appropriate test formulas and performs computations such as multiple and partial correlation coefficients, t-tests, Chi-square, ANCOVA, linear and logistic regression, multilevel modeling, spatial analyses, interrupted time series models, latent class analysis, principal components analysis,
Staff Machine Learning Data Engineer Join to apply for the Staff Machine Learning Data Engineer role at Backflip AI. The Role We’re looking for a Staff Machine Learning Data Engineer to lead and build the data pipelines powering Backflip’s foundation model for manufacturing and CAD. You have dee
You’ll collaborate with Machine Learning Engineers to run data-driven experiments, analyze results, and deliver AI products that shape the future of the physical world. AI development, infra, and product, and enjoy building the data systems that make great models possible. ML , including distribut
Contact-volume forecasting: data pipelines, statistical/ML models and inference services that predict ticket volumes, agent demand and time to resolution. Backed by $70M in funding from NEA, Emergence Capital, and Stripe, and driven by a team of experts passionate about problem-solving, we’re at t
The Machine Learning and Data engineer role will lead the development, implementation, and maintenance of data pipelines and infrastructure to support the deployment and continuous monitoring of Machine Learning (ML) and generative Artificial Intelligence (AI) tools within UCSF's APeX Enabled Resear
Experience with SQL/NoSQL database technologies, data warehouse frameworks like BigQuery/Snowflake/RedShift/Iceberg and data pipeline frameworks like GCP Dataflow/Apache Beam/Spark/Kafka. Our team is in charge of data generation, introspection and evaluation frameworks that are key to efficiently de
The incumbents will develop and refine machine learning applications and manage projects and provide regular progress reports to PIs and collaborators. ABC was intentionally designed to maximize scientific productivity and impact by adopting groundbreaking imaging technologies such as the next-gener
Develop scalable frameworks and libraries that enhance and contribute to the team’s core analysis and modeling capabilities, including through the integration of LLMs to improve data processing, analysis, and insights. Proven experience in credit risk modeling or fraud risk modeling using logistic
Build and deploy machine learning models to identify, assess and mitigate risks Responsible for driving research in the problem space, working with stakeholders to understand model requirements, developing the model from scratch, deploying the model alongside your engineering counterparts, and monit
As part of our expanding Data Science function, we're building a best-in-class forecasting capability to drive real-time, data-driven decision-making across user growth, revenue, compute infrastructure, and more. We're looking for a hands-on technical leader to build and lead a small but mighty team
Generative AI Expertise: In-depth understanding and practical experience with advanced generative AI architectures, including (but not limited to) diffusion models, Generative Adversarial Networks (GANs), and autoregressive models. As a Senior Machine Learning Engineer, you’ll pioneer research and
Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. You’ll also receive benefits including, but not limited to: Comprehensive health,
Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. You'll also receive benefits including, but not limited to: Comprehensive health, de
This includes designing predictive and prescriptive models (such as conversion propensity, churn risk, LTV, sequential decisioning, and timing optimization) and collaborating closely with product and infrastructure engineering to ensure these models can be safely and cleanly embedded into existing p
ML engineer and 3+ years of hands-on experience building and shipping products on top of leading LLMs Proven track record designing, implementing, and evaluating LLM outputs Experience fine-tuning smaller models or adapting foundation models to improve quality, engagement, and scalability Background