…We are seeking a staff Research Engineer with deep expertise in software engineering, robotic systems integration, and machine learning. This role is highly interdisciplinary…

…Minimum qualifications 8+ years of industry software engineering or ML engineering experience Experience building and maintaining data pipelines Experience working with LLMs and a…

…Analyze behavior of ML systems in real-world application, identify issues and root causes, advise or develop short- and long-term solutions. Monitor ML…

…The work will span synthetic training data generation, surrogate modeling, and co-optimized calibration-decoding pipelines. You will collaborate with teams across Product, Engineering…

…a Staff Applied Machine Learning Engineer focused on Intelligent Data, Signals & Systems, you will build production ML systems that transform customer behavior, product context…

…The Role As a Staff Applied Machine Learning Engineer focused on Fraud & Abuse, you will design, build, and operate production ML decision systems that…

…Data Science, Monetization, Marketing, and Applied AI to translate behavioral signals and model outputs into durable product surfaces. QUALIFICATIONS - 2+ years of professional software…

…Extensive experience across the full ML lifecycle, including data analysis, feature engineering, iterative model development, rigorous offline and online evaluation, and ongoing monitoring and…

…experience in a software engineering discipline, with at least 5+ years focused on security - Hands-on experience securing AI/ML systems, including practical AI…

…on-premises data centers and public cloud environments (AWS, GCP), partnering closely with Network Engineering, IT, Product Security, and Software Engineering teams. In This…

…data pipelines for Training & Eval to process data from multiple sources. Design and implement evaluation frameworks for perception models. Study and analyze different behaviors…

…About the Role As a Senior Staff Machine Learning Engineer on Core Cx, you will set the personalization (P13n) strategy for the entire consumer…

…Analyze field logs, sensor data, planner behavior, and failure cases to identify root causes, improve system robustness, and drive cross-stack improvements across perception…

…Collaborate closely with robotics engineers, ML researchers, and platform engineers to enable large-scale robotics development, training pipelines, benchmarking suites, and automated evaluation workflows…

…JOB SUMMARY Apptronik is seeking a Staff MLOps Engineer to own the technical direction of our MLOps platform — the system of record for datasets…

…platforms to robustly support next-generation ML model evaluation use cases Collaborate cross-functionally with ML engineers, data scientists, and infrastructure teams to identify…

…Collaborate closely with product managers, software engineers, ML engineers, and researchers to ship features end to end. Help define the technical direction for future…

…We're looking for a Staff ML Engineer to drive the model serving layer for voice workloads. You'll work hands-on with inference…

…SLOs) that help the team avoid repeating failures Minimum qualifications Significant software engineering experience building and operating production distributed systems Proficiency in at least…

…SLOs) that help the team avoid repeating failures Minimum qualifications Significant software engineering experience building and operating production distributed systems Proficiency in at least…

…Develop data mining tools with applied ML techniques to support data discovery needs from Autonomy including Perception, Behavior, and Mapping Develop data annotation tools…

…BS or MS in Computer Science or a related field with 7+ years of software engineering experience, strong in integration, platform, or backend roles…

…Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. Staff – Application/ Customer Engineering Role Overview We are looking for a Staff Engineer with…

…You can hold a room of engineers. You've delivered technical talks, workshops, or training to engineering audiences — platform engineers, ML/AI teams, security…

…rapidly discover, iterate and mitigate these behaviors while also scaling the performance of the car in a data driven way. This is an opportunity…