Remote Software engineering Jobs · Machine Learning

• Lead a cross-functional team of ML engineers, data scientists, and MLOps professionals.
• Oversee the full lifecycle of LLM and ML projects — from data collection to training, evaluation, and deployment.
• Provide technical direction on large-scale model training, fine-tuning, and distributed systems design.

• Lead Reddit’s efforts in building ML systems that keep our platform safe.
• Drive the strategy, development, and deployment of machine learning models that detect and prevent harmful content and behavior at scale.
• Partner cross-functionally across Product, Engineering, Safety operations, Trust & Community, and AI/ML Platform to innovate on real-time detection, automation, and user protection systems.

As a Senior Software Engineer in Localization, you’ll work on system integration, build and maintain API-based workflows to connect localization systems with enterprise platforms. You'll also design and implement automation solutions to streamline localization processes and reduce manual effort. Apply AI and machine learning technologies to improve scalability and efficiency in localization.

Design, implement, and optimize machine learning and computer vision algorithms for livestock management. Collaborate with cross-functional teams to integrate algorithms into production systems. Research and apply the latest computer vision and machine learning techniques to improve system performance.

Establish the technical vision for personalization at Launch Potato, solving the company’s most complex ML challenges and influencing strategy, architecture, and innovation across teams. Define company-wide personalization strategy and architecture, driving alignment across all ML teams. Champion privacy-preserving personalization, responsible AI practices, and adaptive learning systems.

Participate in and lead the entire biosignal-based algorithm development lifecycle for medical devices. Select, implement, and develop the most appropriate method for each problem. Enhance internal deep learning and machine learning tools to boost team efficiency. Support client-facing projects to understand and shape the impact of Beacon algorithms.

Ads Targeting ML engineers design and implement ML systems and solutions for improving targeting products. As a staff machine learning engineer in the ads targeting quality team, you will own and execute our mission to automate targeting and deliver the most relevant audiences to advertisers under the right context with ML-driven solutions.

Design and build AI-powered agents and automation tools to optimize internal processes, improve decision-making, and enhance employee productivity. Rapidly test and iterate on generative AI applications to solve real business challenges. Partner with business leaders to identify use cases, scope technical requirements, and integrate solutions with internal systems. Use statistical and machine learning techniques to extract insights, model behaviors, and inform strategic recommendations. Measure the impact of deployed AI tools, refine models, and guide the adoption of successful pilots across the organization. Track emerging technologies in generative AI, automation, and data science.

Develop and train machine learning models for fault detection and classification based on time-series sensor data; including vibration, temperature, pressure, flow etc. Perform exploratory data analysis (EDA) on vibration, OT and time-series data to uncover insights and identify patterns indicative of faults or anomalies. Experiment with and evaluate various algorithms to optimize model performance.

The Engineering Team at Fleetio is expanding and has an opportunity for a Senior Software Engineer to join our AI team. You will work closely with our Engineering and Product leaders to build and drive our AI roadmap. In this role, you will work closely with Product Managers, Designers, and other Engineers to research, plan, design, and build features that leverage AI to make Fleetio’s users more productive.