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Freelance Data Scientist Deep Learning Jobs (NOW HIRING)

Guru Schools

Data Scientist

Raritan, NJ · On-site

Overview: - Data Scientist (Contract-Based) Johnson & Johnson is currently seeking a Data Scientist ... deep learning models to solve diverse challenges and opportunities across J&J Conduct proof-of ...

Conversica, Inc

Data Scientist

Seattle, WA · On-site

Conversica is seeking talented and passionate data scientists to help us evolve our artificial ... Training in deep learning approaches and natural language processing * Advanced proficiency with ...

Vytwo

Data Scientist - INDIA

Prosper, TX · On-site +1

Data Science Structured Data / Text Data (NLP & GenAI) About the Role We are seeking a highly ... Text / Unstructured Data (NLP & GenAI) Building lowlatency realtime systems using deep learning ...

Sarian, Inc.

Sr. Data Scientist

Irving, TX · On-site

Role: Data Scientist Location: Irving, TX - Fulltime Position Data Scientist with Generative AI ... Machine learning, NLP & deep learning: Strong understanding of supervised and unsupervised learning ...

Inherent Technologies

Data Scientist

Chandler, AZ · Remote

Strong Time Series forecasting, ML, deep learning and standard statistical methods to evaluate models. Experience working on supply chain projects. We are seeking a highly skilled Data Scientist to ...

Raas Infotek LLC

Data Scientist

Atlanta, GA · On-site

Job Title: Senior Data Scientist (12+ Years Experience) - W2 Only Employment Type: W2 Only Job ... Experience with Machine Learning, Deep Learning, NLP, and Predictive Analytics * Hands-on ...

New

Tenex.AI Inc

Senior Data Scientist

San Jose, CA · On-site

Stay up-to-date on state-of-the-art research in data science, deep learning, and security-specific AI to drive platform innovation. * Explore novel statistical methods and machine learning techniques ...

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Freelance Data Scientist Deep Learning information

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How much do freelance data scientist deep learning jobs pay per year?

As of Jun 12, 2026, the average yearly pay for freelance data scientist deep learning in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.
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Freelance Data Scientist Deep Learning jobs near you
Infographic showing various Freelance Data Scientist Deep Learning job openings in the United States as of June 2026, with employment types broken down into 5% As Needed, 10% Full Time, and 85% Part Time. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

ML Research Scientist -Deep Learning & Transformer Architectures

Millennium Management LLC

New York, NY • On-site

$150K - $200K/yr

Full-time

Posted 4 days ago

Millennium Management rating

7.7

Company rating: 7.7 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

Job description

ML Research Scientist -Deep Learning & Transformer Architectures
Please direct all resume submissions to QuantTalentUS@mlp.com and reference REQ-29605 in the subject.
Overview
As part of a long-term research agenda within a newly formed systematic equities pod, we are building a proprietary Transformer-based model trained on tokenized intraday market data for next-token prediction of price movements.
We are seeking an exceptional ML research scientist with deep expertise in Transformer architectures and large-scale model training. You will design, implement, and train a custom decoder-only Transformer from scratch -not fine-tune an existing LLM, but build a purpose• built architecture for financial time-series.
This is a long-term research project with significant computational resources. The successful candidate will have a PhD in machine learning or a related field and demonstrated ability to implement Transformer architectures from first principles.
Principal Responsibilities
• Design and implement a custom decoder-only Transformer architecture optimized for tokenized financial time-series data
• Develop a novel tokenization scheme for intraday market data: price movements, volume, order flow, and cross-sectional features
• Implement efficient training pipelines using PyTorch with mixed-precision training, gradient checkpointing, and multi-GPU parallelism
• Design attention mechanisms adapted to financial data: temporal attention patterns, cross-asset attention, and multi-scale representations
• Build evaluation frameworks for next-token prediction accuracy, signal quality, and trading performance
• Implement inference optimization for low-latency production deployment: model quantization, KV-cache, speculative decoding
• Conduct rigorous ablation studies to validate architecture choices and training methodology
• Collaborate with the team to integrate model predictions into the live trading pipeline
• Document research methodology, experimental results, and architectural decisions
Required Skills / Qualifications
• PhD in Machine Learning, Computer Science, Statistics, Applied Mathematics, or a related field with a focus on deep learning
• Demonstrated ability to implement Transformer architectures from scratch (not just finetuning pre-trained models)
• Deep understanding of attention mechanisms, positional encodings, tokenization strategies, and training dynamics
• Expert-level PyTorch skills including custom modules, training loops, mixed-precision, and multi-GPU training
• Strong mathematical foundations: linear algebra, probability theory, optimization, information theory
• Experience training models at scale (100M+ parameters)
• Strong programming skills in Python and C++ for performance-critical components
• Self-directed researcher capable of defining and executing a multi-month research agenda
• Familiarity with Al-assisted development tools (Cursor, Claude Code)
Preferred Skills / Experience
• Experience applying deep learning to financial data or time-series forecasting
• Familiarity with tokenizatlon approaches for continuous or non-text data
• Published research in top ML venues (NeurlPS, ICML, ICLR) or equivalent industry experience
• Knowledge of market microstructure and intraday trading dynamics
• Experience with model compression, quantization, and inference optimization
Millennium offers a total compensation package which includes a base salary, discretionary performance bonus, and comprehensive benefits. The estimated base salary range for this position is $150,000 to $200,000, which is specific to New York and may change in the future. When finalizing an offer, we take into consideration an individual's experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

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