ML Engineer, AI Researcher

Develop high-impact data science projects

Design, train, and validate statistical and ML models

Partnering with People AI product lead

Shape use cases and run experiments

Collaborate with scientists and product managers

Architect secure and privacy-preserving AI solutions

Applying analytics, statistics, and machine learning for decision-making

Developing predictive models for pricing, underwriting, and claims

Lead and manage ML projects for credit risk modeling

Collaborate with various teams and stakeholders

Own and scale the foundational platform and core fraud services for Socure.

Translate business needs into clear engineering requirements.

Lead complex cross-functional programs for App Modernization

Collaborate with various teams to execute product vision

Architect features for performance platform

Optimize ads for efficiency

Write and edit knowledge base content

Collaborate with Knowledge Strategist and Manager

Seeking a Senior Software & Data Engineer with expertise in Node.js and TypeScript

Focus on building scalable backend architectures and data processing pipelines

Train and evaluate AI models using JavaScript for accuracy and quality.

Review and improve AI-generated JavaScript code.

Hiring a Senior AI Python Software Engineer remotely

Full-time position in the United Kingdom

Analyze threat actor behavior and evolving abuse patterns

Implement state-of-the-art LLM-driven techniques for abuse detection

Own architecture and quality of simulation software

Develop and optimize multi-physics simulations

Set technical vision and strategy for the product area

Lead engineers to ship code and tackle hard problems

Lead uncertainty quantification for ecosystem model predictions

Design probabilistic and ML approaches for prediction confidence

Own and drive a significant portion of Arize AI's core product roadmap

Lead ideation and product life cycle from concept to launch

Build and maintain Finance datasets and reporting in Hex

Automate Finance deliverables to scale with growth

Lead and grow engineering team

Build tooling with AI integration

Manage end-to-end recruitment for technical roles.

Source exceptional candidates proactively and continuously.

Design, scale, and ship reward signals for recommendations

Lead cross-team work to test mid-term signals in recommendation systems

Lead team to enhance ML models for Native Ads

Shape system architecture and trade-offs for performance

Own core retrieval or ranking components

Lead technical direction in retrieval, ranking, embeddings

Lead delivery of technical workflows

Develop program-level technical roadmap

Lead evaluation and improvement of entity resolution and linking pipelines

Optimize entity linking and ranking with Learning-to-Rank

Develop bioinformatics software and ML-driven solutions

Collaborate with diverse teams for innovative projects

Reduce chargeback rates by implementing a proactive strategy

Monitor and analyze dispute representment and win-rate metrics

Lead ML models for Airbnb products

Collaborate with cross-functional teams

Develop and deploy predictive models for fraud prevention

Reduce false positives and automate fraud controls

Develop and deploy predictive models for fraud prevention.

Collaborate with cross-functional teams for real-time solutions.

Lead AI adoption in customer success/SaaS

Enhance mental health & wellness benefits

Optimizing product performance through data analysis

Collaborating with key stakeholders for product decisions

Lead a team of FDEs in delivering AI systems in life sciences

Coach engineers and guide technical direction

Lead and scale a trajectory planning team with vision and strategy

Drive launch readiness by improving on-road behavior

Lead and scale trajectory planning team

Drive launch readiness by improving on-road behavior

Lead and scale a trajectory planning team

Improve on-road behavior and drive launch readiness

Lead and scale trajectory planning team

Drive launch readiness and improve on-road behavior

Hiring a remote Data Scientist at any level

Full-time position with flexibility to work remotely in the US

Lead and develop ML models for key business metrics

Build segmentation and propensity models for product/marketing

Develop and deploy Python code for real-time bidding and optimization

Train, deploy, and monitor ML models for ad decisions at scale

Develop and refine features for deep learning models on large datasets

Implement model architectures guided by recent research

Analyze threat actor behavior and abuse patterns

Implement state-of-the-art techniques for abuse detection

Become expert on customers and DER adoption challenges

Craft messaging and solution narratives for utilities

Break down complex strategic problems

Lead cross-functional initiatives

Develop and maintain ML systems for health feature analysis

Collaborate with Data Engineers to enhance ML data pipelines

Build, manage, and develop a data science team

Influence analytics and data engineering culture

Apply ML techniques effectively

Define strategic roadmaps

Develop and implement advanced ML algorithms

Design and refine ML models

Improve general chat behavior in large language models

Assess and provide feedback on model-generated responses

Lead and develop recommendation algorithms

Collaborate with cross-functional teams