Remote Software engineering Jobs • Machine Learning

Drive machine learning initiatives to instantly generate and visualize home décor items, transforming browsers into personalized interior design studios. Use algorithms to offer users a redecoration experience, integrating wallpaper, flooring, countertops, and other home essentials. Implement machine learning techniques to adapt and present décor products based on user preferences and room dimensions. Work with design experts to refine models and enhance realism.

The AI Engineer will design, develop, and deploy AI-powered solutions that enhance immersive, high-performance web experiences for global clients. This position combines hands-on technical work with strategic solution design, requiring expertise in machine learning algorithms, data processing, and AI infrastructure. The ideal candidate will be a collaborative problem solver, adept at translating business goals into scalable AI architectures.

As Principal ML Engineer, you'll be the technical visionary for our personalization and optimization systems. This is an individual contributor role for a deep technical expert who will define our ML architecture, solve our hardest technical challenges, and influence ML strategy across the company.

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. Solve critical technical challenges such as cold start, real-time learning, and exploration/exploitation tradeoffs.

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. Design and implement advanced ML solutions using cutting-edge techniques. Act as technical mentor to senior ML engineers.

Collaborate with cross functional teams - including Maps, Data, and Simulation - to curate and generate high-quality datasets essential for training and evaluating our online mapping system. Work closely with the Perception and Motion Forecasting teams to design, evaluate, and iterate on robust online mapping algorithms that dynamically adapt to real-world changes ensuring accurate and safe navigation for our autonomous vehicles.

As a Machine Learning Engineer on our team, you will play a key role in this transformation, utilizing state-of-the-art AI models, frameworks, and tools, along with diverse and extensive data sources, including blockchain data. Your work will focus on breaking down barriers to cryptocurrency adoption and shaping the future of AI-powered customer interactions.

Lead a team of ML engineers building next-generation personalization and optimization systems, balancing hands-on technical work with team leadership, and driving both technical excellence and business impact. This role requires someone who can architect complex systems while mentoring others and collaborating across organizations.

Vectara is seeking a Senior/Staff Platform Software Engineer with strong experience in backend development and modern DevOps practices. In this role, you’ll work on building and scaling the core infrastructure that powers our retrieval-augmented generation platform. You’ll help design robust services and scalable systems, with a focus on automation, observability, reliability, and performance.

Strategically guide Engineering Managers, Engineering Leaders, Architects, and Technical Leaders to execute ambitious product visions with precision, reliability, and scalability. Hire top talent, grow teams and inspire your vertical members. Lead, mentor, and inspire multiple high-performing engineering teams. Drive the development of scalable, highly available, and low-latency systems that enable real-time decision-making and maximize conversion rate.