Remote Software engineering Jobs · ML

• Lead development of models for autonomous vehicles to perceive and interpret road geometry.
• Define next-generation deep learning architectures for extracting road and lane semantics from sensor data.
• Develop evaluation frameworks for lane and road geometry accuracy and cross-domain generalization.

Design, implement, and maintain machine learning models, infrastructure, and tooling for AI-powered product features. Build scalable, resilient backend services to support data integration, event processing, and distributed workflows. Work with stakeholders to translate product goals into actionable ML engineering plans.

• Lead and grow a globally-distributed engineering team, ensuring collaboration and ownership.
• Partner with stakeholders to define the roadmap for AI-enabled marketing solutions.
• Drive innovation and build scalable products that integrate AI into marketing workflows.

• Provide leadership within software teams as a mentor and trusted client-facing technologist.
• Impact all phases of projects and the SDLC.
• Leverage existing knowledge and grow into new technologies.

• Own the architecture, training, and deployment of the models that power our core product.
• Write production code, defining our alignment strategy, and shipping features used by millions of users globally.
• Build sophisticated classifiers and alignment strategies to balance user freedom with strict safety guardrails.

• Lead machine learning initiatives impacting business growth and customer experience.
• Develop end-to-end machine learning and AI solutions, delivering measurable business impact.
• Drive innovation and continuous improvement in ML systems for growth modeling and incentive allocation.

• Lead machine learning initiatives impacting business growth and customer experience.
• Develop end-to-end machine learning and AI solutions, delivering measurable business impact.
• Drive innovation and continuous improvement in ML systems for growth modeling and incentive allocation.

Lead and scale a high-performing team in designing, building, and deploying cutting-edge Generative AI and machine learning solutions. Define the AI technical strategy, oversee platform development, and deliver AI solutions that drive measurable business impact. Lead a team of AI engineers, data scientists, and platform engineers while fostering a culture of innovation, operational excellence, and ethical AI adoption.

As an AI Integration Engineer, you will integrate cutting-edge AI models like ChatGPT into existing features to enhance products' capabilities and deliver a better user experience, evaluating and selecting AI models and collaborating with the data science team to fine-tune AI model performance.

As an Applied AI Engineer, you’ll research and utilize state-of-the-art Gen AI and machine learning (ML) techniques to successfully deliver solutions to our customers. You will work directly with our customers to understand their business and technical needs and design and deliver AI solutions to solve them. This position is ideal for someone who enjoys solving complex problems, bridging the gap between AI technology and business value, working directly with customers, keeping up-to date with AI research.