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Contract Tensorflow Jobs in San Ramon, CA (NOW HIRING)

Job Title: Associate AI Scientist (Contract) Location: South San Francisco, CA (Onsite with ... Strong Python skills and experience with deep learning frameworks (PyTorch or TensorFlow) * Ability ...

Python Developer: 26-00924

Fremont, CA ยท On-site

$50 - $55/hr

Python-Advanced, REST APIs-Intermediate, AI/ML- Expert, Pytorch/Jax-Intermediate Contract Type: W2 ... Proficiency with at least one modern deep learning framework (e.g., PyTorch, JAX, TensorFlow)

... TensorFlow ยท Keras ยท PyTorch ยท CNNs ยท RNNs ยท LSTMs ยท Transformers Applied to NLP, Computer ... Technology, Information and Internet Employment Type Contract

Contract Compensation: $90/hour Location: Remote Role Responsibilities * Develop end-to-end machine ... TensorFlow ). * Demonstrated experience building end-to-end machine learning solutions, including ...

AI Engineer in ML Data

San Francisco, CA ยท On-site

$134K - $162K/yr

... contract VMs. We've won a well-known formal verification benchmark called PutnamBench, which ... TensorFlow/JAX * Ability to understand deep learning algorithms, e.g. in natural language ...

AI Engineer in ML Data

San Francisco, CA ยท On-site

$134K - $162K/yr

... contract VMs. We've won a well-known formal verification benchmark called PutnamBench, which ... TensorFlow/JAX * Ability to understand deep learning algorithms, e.g. in natural language ...

Ivo is the contract intelligence platform of choice for companies like Uber, Meta, Canva, IBM, and ... Strong working knowledge of modern frameworks (PyTorch, JAX, or TensorFlow) and the surrounding ...

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Contract Tensorflow information

See San Ramon, CA salary details

$41.9K

$137.2K

$219.6K

How much do contract tensorflow jobs pay per year?

As of Jun 17, 2026, the average yearly pay for contract tensorflow in San Ramon, CA is $137,163.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,100.00 and $152,000.00 per year, depending on experience, location, and employer.

Which 5 jobs will survive AI?

Jobs that require complex human interaction, creativity, and critical thinking, such as contract TensorFlow roles involving AI model development, data science, software engineering, AI research, and machine learning engineering, are likely to persist. These roles demand specialized skills, continuous learning, and adaptability to evolving AI tools and frameworks.

What has replaced TensorFlow?

For a Contract TensorFlow role, there is no single direct replacement, but alternatives like PyTorch have gained popularity in machine learning and deep learning projects. Many organizations now adopt PyTorch or other frameworks depending on project requirements, and knowledge of multiple tools can be beneficial for such roles.

What kind of jobs use TensorFlow?

Jobs that use TensorFlow typically include machine learning engineer, data scientist, AI researcher, and deep learning developer roles. These positions involve developing, training, and deploying neural network models for tasks such as image recognition, natural language processing, and predictive analytics, often requiring knowledge of Python and related frameworks.

Is ML a high paying job?

Machine Learning (ML) roles, including positions like Contract TensorFlow developers, tend to offer high salaries due to the specialized skills required, such as programming in Python and experience with frameworks like TensorFlow. Compensation varies based on experience, location, and project complexity, but generally, ML jobs are among the higher-paying roles in the tech industry.

What is the difference between Contract Tensorflow vs Contract Machine Learning Engineer?

AspectContract TensorflowContract Machine Learning Engineer
Required CredentialsProficiency in TensorFlow, Python, ML conceptsProficiency in ML frameworks, Python, data analysis
Work EnvironmentProject-based, remote or on-site, tech companiesProject-based, tech or research firms, collaborative teams
Employer & Industry UsageTech companies, startups, AI-focused firmsTech companies, consulting firms, research institutions
Search & Comparison IntentUnderstanding TensorFlow-specific roles, contract workBroader ML roles, contract opportunities in ML

Contract Tensorflow roles focus specifically on implementing and optimizing models using TensorFlow, requiring expertise in this framework. Contract Machine Learning Engineer positions encompass a wider range of ML tools and techniques, often including TensorFlow but also other frameworks. Both roles are project-based, typically in tech environments, but Contract Tensorflow is more specialized in deep learning with TensorFlow.

What are popular job titles related to Contract Tensorflow jobs in San Ramon, CA? For Contract Tensorflow jobs in San Ramon, CA, the most frequently searched job titles are:
What job categories do people searching Contract Tensorflow jobs in San Ramon, CA look for? The top searched job categories for Contract Tensorflow jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Contract Tensorflow jobs? Cities near San Ramon, CA with the most Contract Tensorflow job openings:
Associate AI Scientist

Associate AI Scientist

Astrix Inc

South San Francisco, CA โ€ข On-site

$30 - $38/hr

Full-time

Posted 20 days ago


Job description

Pay Rate Low: 30 | Pay Rate High: 38
Excellent opportunity to work on cutting-edge AI applications in genomics within a collaborative, research-driven biotech environment, contributing to impactful projects at the intersection of machine learning and biology.
Job Title: Associate AI Scientist (Contract)
Location: South San Francisco, CA (Onsite with potential hybrid flexibility)
Duration: 6-10 months +benefits included
Schedule: Monday-Friday, 8am-5pm
Pay Rate: $30-$38/hr (flexible for strong candidates)
Role Overview
This position focuses on developing and applying modern machine learning approaches to DNA sequence data to better understand how genetic variants influence biological function. The work supports research efforts in genomics, regulatory biology, and variant interpretation.
Key Responsibilities
  • Develop and evaluate machine learning models that link DNA sequence to biological function
  • Apply and adapt sequence-based foundation models to improve variant effect prediction
  • Build benchmarking and evaluation pipelines to assess model performance and robustness
  • Analyze and interpret the biological impact of genetic variants using computational models
  • Train or fine-tune models using genomics datasets (e.g., ATAC-seq, RNA-seq, ChIP-seq, MPRA)
  • Collaborate with computational scientists and biologists on cross-functional research projects
  • Present findings to internal scientific teams and contribute to reports or publications
  • Deliver a final project presentation to a broader internal audience

Required Qualifications
  • Master's student, PhD student, recent PhD graduate, or equivalent experience in a relevant scientific or computational discipline.
  • Familiarity with sequence modeling and genomic machine learning workflows
  • Experience with sequence-based or foundation models (DNA/RNA language models or similar)
  • Strong Python skills and experience with deep learning frameworks (PyTorch or TensorFlow)
  • Ability to read and apply concepts from modern ML research literature
  • Academic background in computational biology, computer science, biology, or related field
  • Foundational knowledge of gene expression and cell biology

Preferred Qualifications
  • Experience communicating computational biology concepts to diverse audiences
  • Familiarity with statistical fine-mapping methods (e.g., SuSiE, FINEMAP, PAINTOR)
  • Experience applying ML models to biological interpretation or experimental design
  • Knowledge of common genomics data formats, genome annotations, and large datasets
  • Interest in gene regulation, enhancers, promoters, and non-coding genome biology
  • MUST be authorized to work in the United States without sponsorship.

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