Remote Data Jobs · PyTorch

Job listings

  • Fine-tuning pre-trained LLMs on small to medium datasets.
  • Implementing parameter-efficient fine-tuning (e.g., LoRA-style methods).
  • Optimising training for cost and performance.

They deliver cutting-edge ML and GenAI solutions across diverse industries and collaborate with global organizations. The company solves real-world challenges at scale with dynamic, high-impact projects.

$225,000–$315,000/yr
US 20w maternity 12w paternity

  • Architect and optimize distributed training and inference systems for large-scale AI models
  • Design and deliver customer-focused solutions that maximize performance and business value
  • Lead the transition of ML pipelines from POC to scalable production systems

The company offers an AI-centric cloud platform reshaping the landscape of artificial intelligence. They provide infrastructure, tools, and services for developers to service the explosive growth of the global AI industry, catering to Fortune 1000 companies, startups, and AI researchers.

$110,011–$160,000/yr

  • Investigate new feature extraction and data augmentation techniques for generative image/video detection.
  • Collaborate with scientists and engineers across the organization. Perform research into deepfake image/video detection.
  • Aid in integrating insights gained from research into RD products.

Reality Defender, Inc. focuses on detecting and defending against manipulated media. We didn't find information about company size, culture, or number of employees.

  • Experiment with novel language model architectures, helping drive and execute Fastino's research roadmap
  • Optimize Fastino’s multimodal models to improve response quality, instruction adherence, and overall performance metrics
  • Architect data processing pipelines, implementing filtering, balancing, and captioning systems to ensure training data quality across diverse content categories

Fastino is building the next generation of LLMs. Their team, boasting alumni from Google Research, Apple, Stanford, and Cambridge, is on a mission to develop specialized, efficient AI and has raised $25M through their seed round.

  • Lay down the first ML and statistical components of the data science platform
  • Translate business problems and feature needs to machine learning problems
  • Implement always-on training pipelines

Kamino Retail, powered by Equativ, is a pioneering SAAS platform at the forefront of retail media innovation. They equip retailers with advanced tools and solutions to revolutionize their advertising strategies, amplify customer engagement, and drive concrete results.

  • Analyze 4+ years of reservation data from live restaurant partners to understand demand patterns
  • Build predictive models that account for factors like table type, day of week, time slot, booking lead time, seasonality, and more
  • Design a dynamic pricing engine that can adjust prices based on real-time demand signals

Peak is redefining reservations and views them as unique experience tickets, created with hospitality experts. They are a small, remote team of approximately 10 people based in NYC, bringing their Peak experience to the top dining scene.

  • Collaborate with engineers, data scientists, and business analysts to understand requirements, refine models, and integrate LLMs into AI solutions
  • Development and implementation of Deep learning algorithms for AI solutions
  • Preprocess raw data, including text normalization, tokenization, and other techniques, to make it suitable for use with NLP models

Exadel is an AI-first global tech company with 25+ years of engineering leadership. They have 2,000+ team members, and 500+ active projects powering Fortune 500 clients valuing open dialogue, creative freedom, and mentorship.

  • Build and improve AI chatbots and virtual agents using real conversational data.
  • Clean, prepare, and analyze text data for NLP and ML models.
  • Evaluate model performance and propose improvements.

Miratech is a global IT services and consulting company that brings together enterprise and start-up innovation. They support digital transformation for some of the world's largest enterprises and retain nearly 1000 full-time professionals with an annual growth rate exceeding 25%.

$153,075–$275,535/yr

  • Perform comprehensive evaluations of data assets across the full credit and fraud lifecycle, ensuring strong regulatory compliance and risk governance.
  • Conduct rigorous benchmarking and champion/challenger analyses to compare external data assets against internal attributes, scores, and predictive models, ensuring measurable lift, ROI and benefits.
  • Develop advanced machine learning solutions and algorithms to solve complex analytical challenges.

Experian is a global data and technology company, powering opportunities for people and businesses around the world. They operate across a range of markets, from financial services to healthcare, automotive, agrifinance, insurance, and many more industry segments. A FTSE 100 Index company listed on the London Stock Exchange (EXPN), they have a team of 23,300 people across 32 countries.