Remote Software engineering Jobs • Machine Learning

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.

Contribute to the design and development of the infrastructure responsible for operationalizing Machine Learning at Dave. You will deliver consistent, high-quality Python code for our Machine Learning Platform, including our in-house Feature Store and real-time scoring service. Collaborate closely with Data Scientists and other engineers to understand their needs and challenges, ensuring our platform is meeting their requirements.

You will own core components of our instant shopping personal intelligence, leveraging our unparalleled delivery speed. You’ll design context engineering strategies and real‑time retrieval, build SFT pipelines, and implement reinforcement learning. You’ll use relevant APIs for data augmentation and ship low‑latency, reliable inference with strong observability and safety.

This position is at the cutting-edge of machine learning and software engineering and you will be responsible for designing and developing machine learning applications for our growing client base. You should have strong programming skills and professional experience in Machine Learning, Computer Vision, Natural Language Processing, or Deep Learning. You will join a team of experienced engineers and entrepreneurs bringing practical AI solutions to the market.

As a senior machine learning engineer, you will work on the latest tools, frameworks and offerings while also being involved in enabling credible and collaborative problem solving to execute on a strategy. You will contribute to design and drive the development of robust scalable architectures and infrastructure for deploying and managing machine learning (ML) applications, ensuring high availability, performance and security. You will collaborate with data scientists and engineers to translate business needs into effective and efficient ML systems and applications. You will own the development and maintenance of core functionalities within ML applications.

As an AI Engineering Senior Manager at LinkedIn Ads you will be responsible for leading a team of Software Engineers that build and own algorithms, models, and systems that power our LinkedIn ad tech platform. We are looking to experiment with GenAI to build new ad-creative variations which can yield better ROI for our advertisers.

Set the vision for Machine Learning and AI at Affirm and hire world class Machine Learning modelers, Platform and Software engineers to execute on that vision. Take ownership of our core model development lifecycle and business outcomes across our established verticals – underwriting, fraud, servicing, personalization. Work closely with product and business leadership to champion AI adoption in both existing and new products.

We’re looking for a Senior ML/Edge Engineer to lead the development of ML models that power our physiological signal analysis. This role is ideal for someone who thrives at the intersection of machine learning, signal processing, and embedded systems — taking models from research to real-world deployment on constrained edge devices.

Solve applied ML tasks by iterating on problems that test and improve model reasoning. Evaluate scientific writing using review rubrics for clarity and correctness and impact. Debug advanced model behavior by probing LLMs on optimization, fairness, regularization, transformers, and applied NLP, documenting failure modes.