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Freelance Full Stack Machine Learning Engineer Jobs in California

As a Machine Learning Engineer, you will play a central role in translating cutting-edge machine ... Familiarity with data processing stacks such as Spark and Airflow. * Experience with multi-node GPU ...

We are building an AI-driven simulation software stack for engineering and manufacturing across ... Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to ...

We are seeking an MLOps Engineer to build, deploy, and optimize machine learning infrastructure ... As an industry leader in Full-Stack Technology Services, Talent Services, and real-world ...

We are seeking an MLOps Engineer to build, deploy, and optimize machine learning infrastructure ... As an industry leader in Full-Stack Technology Services, Talent Services, and real-world ...

Senior Machine Learning Engineer

San Francisco, CA · On-site

$144K - $190K/yr

... Learning Engineer to join our team and help shape the future of ML/AI at Taskrabbit ... This is a unique, full-stack role for an individual who is passionate about the entire machine ...

Apply Early

We are looking for a strong Staff Machine Learning Engineer who has the passion to develop AI ... Design, Develop and deploy Full stack based applications. * Develop and deploy production-grade ...

... stack. * Collaborate with cross-functional teams to define machine learning use cases and evaluate ... D. in Electrical Engineering, Computer Science, or a related field. * Minimum of 3 years of ...

You'll work across the full machine learning lifecycle, from experimentation and model and agent ... Learning Engineer, or related role * Prior experience at a frontier AI lab, agentic startup ...

The Opportunity Adobe is looking for a Machine Learning Engineer who will apply AI and machine ... Experience with the full ML lifecycle: feature engineering, model training, evaluation, deployment ...

The Opportunity Adobe is looking for a Machine Learning Engineer who will apply AI and machine ... Experience with the full ML lifecycle: feature engineering, model training, evaluation, deployment ...

Full Stack Engineer

San Francisco, CA · On-site

$170K - $240K/yr

We're a tight-knit team of product engineers, infrastructure specialists, and machine learning ... About this role As a Full Stack Engineer at David AI, you'll build cutting-edge tools that help our ...

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Freelance Full Stack Machine Learning Engineer information

What is the difference between Freelance Full Stack Machine Learning Engineer vs Freelance Data Scientist?

AspectFreelance Full Stack Machine Learning EngineerFreelance Data Scientist
CredentialsProficiency in programming, machine learning, and full stack developmentStrong statistical, analytical, and programming skills, often with data analysis certifications
Work EnvironmentDevelops and deploys ML models, works on both front-end and back-end systemsAnalyzes data, builds models, and provides insights, mainly focusing on data analysis
Industry UsageUsed in tech, finance, healthcare for deploying ML solutionsUsed across industries for data analysis, reporting, and predictive modeling

Freelance Full Stack Machine Learning Engineers focus on building and deploying machine learning models within full stack applications, combining software development with ML expertise. Freelance Data Scientists primarily analyze data and create models for insights. While both roles require programming skills, the engineer's role emphasizes deployment and integration, whereas the data scientist's role centers on analysis and interpretation.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in California? The most popular types of Full Stack Machine Learning Engineer jobs in California are:
What are popular job titles related to Freelance Full Stack Machine Learning Engineer jobs in California? For Freelance Full Stack Machine Learning Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Freelance Full Stack Machine Learning Engineer jobs in California look for? The top searched job categories for Freelance Full Stack Machine Learning Engineer jobs in California are:
What cities in California are hiring for Freelance Full Stack Machine Learning Engineer jobs? Cities in California with the most Freelance Full Stack Machine Learning Engineer job openings:

Machine Learning Engineer

Nace AI

Palo Alto, CA • On-site

Full-time

Posted 18 days ago


Job description

Role Overview:
As a Machine Learning Engineer, you will play a central role in translating cutting-edge machine learning research into scalable, production-ready solutions. You will collaborate closely with cross-functional teams to identify opportunities where ML can drive product value, architect robust model-centric systems, and ensure their seamless integration into real-world applications. The role requires a strong balance between theoretical understanding and engineering execution, with a focus on building reliable, maintainable, and high-impact AI-driven features that align with Nace.AI's strategic objectives.
Key Responsibilities:
  • Design, build, and maintain end-to-end ML systems, including synthetic data pipelines, model training, debugging, and performance evaluation.
  • Fine-tune large language models (LLMs) and implement meta-learning methods to enhance model generalization and efficiency.
  • Improve existing Nace.AI models by incorporating advancements from recent ML research.

Qualifications:
  • Hands-on experience training and fine-tuning large language models (LLMs) and vision-language models (VLMs), including practical work with pre-training, instruction tuning, and alignment techniques (GRPO,RLHF/DPO/PPO).
  • Hands-on Experience with Deep Learning Models, especially Transformers.
  • Ability to translate cutting-edge research from papers into clean, production-ready code (Paper to Code).
  • Proven experience scaling inference infrastructure for LLMs/VLMs, including expertise in model serving frameworks like vLLM, TGI.
  • Proficient in Python with a strong track record of building substantial projects.
  • Solid foundation in computer science fundamentals (data structures, algorithms, design patterns).
  • BS degree in CS or related technical field.
  • Solid Experience with ML frameworks and libraries (PyTorch, TensorFlow).
  • Self-starter comfortable working in a fast-paced, dynamic environment.

Preferred Qualifications:
  • MS/PhD in CS or related technical field.
  • Familiarity with data processing stacks such as Spark and Airflow.
  • Experience with multi-node GPU training.
  • Contributor to open-source ML projects.
  • Deep knowledge in Linear Programming.
  • Experience with advanced NLP and Multimodal post-training experience (e.g., model distillation, quantization, deployment optimization).
  • Experienced in inference time optimization, deep understanding of LLM serving optimizations for LLMs/VLMs.
  • Hands on experience with quantization techniques (AWQ, GPTQ, FP8/GGUF).