Voice Research Engineer

. Lead and manage the AI Team effectively

. Drive innovation in AI technologies

Optimize distributed ML performance

Accelerate deep learning inference

Lead research direction for advanced AI systems

Guide the design of cutting-edge RAG systems

Develop groundbreaking AI models, Collaborate with cross-functional teams, Stay-up-to-date with AI

ield, Drive impact on global problems, Shape company

* Design, develop, and deploy advanced statistical models and ML systems * Analyze billions of

data points for trends and opportunities * Collaborate with product managers for visual data

Develop a custom design generator using Generative AI

Generate editable drafts of hand-drawn designs

Develop custom design generator for monogram necklace brand

Create editable drafts from 200+ hand-drawn designs

Generate black and white tattoo designs from client-provided photos

Create tattoo element designs inspired by random pictures

Generate black and white tattoo designs from client's photos

Create tattoo elements inspired by random pictures

Develop and optimize Text-to-Speech systems.

Lead evaluations and collaborate with linguistic teams.

Hiring a Junior Data Scientist with 4+ years of experience

Emphasizing data analysis, machine learning, and statistical modeling skills

Hiring a Senior AI Python Software Engineer remotely

Full-time position in the United Kingdom

Evaluate image generation and identity preservation papers/models.

Develop and deploy image generation and image analysis pipelines.

Lead and manage ML projects for credit risk modeling

Collaborate with various teams and stakeholders

Scale user growth and retention using ML.

Collaborate with marketing and product teams.

Architect scalable ML systems.

Develop graph-based and transformer models.

Own architecture and direction of mobile product.

Improve AI and audio pipeline performance.

Architect scalable ML systems for multi-modal omics data.

Develop graph-based and transformer-based models.

Hiring a remote intern for summer 2026.

Opportunity to work from anywhere in Australia.

Evaluate models across accuracy and latency.

Build benchmarking pipelines for competitive analysis.

Lead and grow a team of ML engineers.

Define vision and roadmap for cart perception.

Port workloads to new platforms while ensuring stability.

Build benchmarks and stress tests for various hardware.

Build and deploy scalable AI services.

Contribute to system architecture design.

Build and refine ML systems for promotional performance.

Optimize production ML models for efficiency.

Develop large-scale data pipelines.

Optimize ML infrastructure for deployment.

Design and implement reward signals for recommendations.

Promote best practices in ML systems development.

Architect and develop software for metal 3D printing.

Collaborate with automation and controls engineers.

GitLab is hiring a remote Senior AI Engineer.

The position is full-time and remote for EMEA.

Code for America is hiring a Principal AI Application Engineer.

This is a full-time remote position.

Own and deploy ML models.

Innovate on relevance models.

Design scalable ML deployment systems.

Collaborate with ML teams to optimize workflows.

Optimize large-scale models using advanced techniques.

Develop pipelines for model conversion and deployment.

Serve as a technical partner to sales teams.

Conduct architecture reviews and proofs of concepts.

Develop a biological reasoning model.

Design experiments for feature interpretability.

Contribute to ML approaches for biological data analysis.

Evaluate AI models on large datasets.

Design and deploy scalable AI/ML services.

Manage the complete lifecycle from architecture to observability.

Develop AI and non-AI algorithms for coronary CT imaging.

Translate clinical requirements into algorithmic specifications.

Design AI agents for engineering workflows.

Integrate AI solutions into existing systems.

Design scalable MLOps solutions.

Automate deployment pipelines.

Develop AI-driven applications.

Collaborate with teams to design features.

To design and implement AI algorithms.

To collaborate with teams for AI integration.

Develop AI-driven product features.

Collaborate with teams for requirements.

Develop scalable ML infrastructure.

Collaborate with data scientists.

Develop AI-driven software products.

Collaborate with teams for product requirements.

Hire multiple Machine Learning Engineers.

Develop and deploy machine learning models.

Develop generative AI models for natural language processing.

Create and manage data pipelines for business applications.

Develop AI agents for autism care.

Enhance clinical workflows.

Lead research in computer vision.

Develop image and video models.

Define the vision and roadmap for conversion modeling in Ads.

Lead a high-performing ML team focused on user conversions.