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Tensorflow Ml Engineer Jobs (NOW HIRING)

Tensec

ML Engineer

San Francisco, CA · On-site

The role At Mach9, ML Engineers build the perception models at the core of our AI-enabled CAD ... Proficient with Python and a production-quality ML library like PyTorch, JAX, or TensorFlow. Bonus ...

Conch Technologies Inc

Sr ML Engineer

Davie, FL · On-site

$95K - $131K/yr

Hello, Position: Sr ML Engineer Location: Hybrid Davie, FL Duration: 6+months contract * 8+ years ... Python * Machine Learning Frameworks (TensorFlow, PyTorch, Scikit-learn) * Real-time inference ...

Marencor

ML Engineer

Charlotte, NC · On-site

ML Engineer Location : Charlotte Contract : 12 months JD: * Advanced degree (Master's or Ph.D.) in ... TensorFlow, PyTorch, scikit-learn, NLP, LLM, GenAI) * Design and conduct experiments to test ...

Digital Links Inc

AI/ML Engineer

Minneapolis, MN · On-site

Must-Have Skills (Non-Negotiable) 1. Core AI/ML Engineering Strong proficiency in Python (NumPy, Pandas, PyTorch/TensorFlow) Experience building and deploying end-to-end ML/AI systems Ability to take ...

Mach9 Robotics Inc

ML Engineer

San Francisco, CA · On-site

$180K - $300K/yr

The role At Mach9, ML Engineers build the perception models at the core of our AI-enabled CAD ... Proficient with Python and a production-quality ML library like PyTorch, JAX, or TensorFlow. Bonus ...

BTree Solutions, Inc.

AI/ML ENGINEER

Reston, VA · On-site

AI/ML ENGINEER Location: Reston,VA Duration: 12+ Months Visa: USC, GC, H1B and EAD Contract Type ... Strong proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). * Deep ...

Programmers.io

AI/ML Engineer

Scottsdale, AZ · On-site

Strong programming skills in Python, Bash, or Go, with experience in ML frameworks (TensorFlow, PyTorch, Scikit-learn). Preferred Certifications (one or more): Google Cloud Professional Machine ...

Open Orion

ML Engineer

San Francisco, CA · On-site

... TensorFlow) • Experience with structured prediction, 3D data, or scientific/engineering ML (not just NLP/vision) • Comfort working in ambiguous problem spaces where the right approach isn't ...

Synergy ECP

AI/ML Engineer

Annapolis Junction, MD · On-site

S. degree in a technical field and 3+ years of experience • Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn) • Experience with data processing and feature engineering • ...

Redolent, Inc.

AI/ML Engineer

Phoenix, AZ · On-site

AI/ML Engineer Location: Phoenix, AZ Experience Level: 8+ years Rate: We are seeking a highly ... Experience with TensorFlow, PyTorch, and scikit-learn. * Cloud Platforms : Working knowledge of ...

Aivra Health LLC

AI/ML Engineer

Dallas, TX · On-site

AI/ML Engineer Location: Dallas, TX, United States Job Type: Full-Time Experience: 0-3 years Work ... TensorFlow / PyTorch * Scikit-learn * NumPy * Pandas * SQL * Data Structures & Algorithms * Data ...

SOSi

AI/ML Engineer

Chantilly, VA

The AI/ML Engineer shall design, develop, test, evaluate, and deploy Al/ML models and ensembles ... Deep learning frameworks, such as PyTorch, TensorFlow, or Keras. * Version control systems, such as ...

SOSi

AI/ML Engineer

Chantilly, VA · On-site

The AI/ML Engineer shall design, develop, test, evaluate, and deploy Al/ML models and ensembles ... Deep learning frameworks, such as PyTorch, TensorFlow, or Keras. * Version control systems, such as ...

Apex Informatics

AI/ML Engineer

AI/ML Engineer Location: Remote Role Objective Support the implementation of artificial ... • Google TensorFlow • Or equivalent recognized AI/ML certifications - Must be based in the ...

Softek Llc

AI/ML Engineer

Rockville, MD · On-site

As an AI/ML Engineer at Softek, you will develop and deploy machine learning models that power our ... Proficiency in Python and ML frameworks (PyTorch, TensorFlow, or scikit-learn) * Experience ...

SOSi

AI/ML Engineer

Chantilly, VA · On-site

The AI/ML Engineer shall design, develop, test, evaluate, and deploy Al/ML models and ensembles ... Deep learning frameworks, such as PyTorch, TensorFlow, or Keras. * Version control systems, such as ...

ShiftCode Analytics, Inc.

AI/ML Engineer

Brooklyn, NY · On-site

... TensorFlow, PyTorch, or similar. • Hands-on experience with MLOps, including model training, validation, deployment, and ongoing monitoring. • Proven ability to integrate AI/ML models into ...

Diversity Nexus

AI/ML Engineer

San Jose, CA · On-site

... TensorFlow • Experience with PyTorch Preferred : • Experience with cloud platforms (AWS, GCP, Azure) • Programming: R or similar • Strong analytical and problem-solving skills Company

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Tensorflow Ml Engineer information

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How much do tensorflow ml engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for tensorflow ml engineer in the United States is $94,030.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,500.00 and $108,500.00 per year, depending on experience, location, and employer.

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Infographic showing various Tensorflow Ml Engineer job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $94,030 per year, or $45.2 per hour.

ML Engineer

San Francisco, CA • On-site

Tensec
See more jobs at Tensecexternal

Other

Posted 9 days ago

Job description

The role

At Mach9, ML Engineers build the perception models at the core of our AI-enabled CAD system. We build models to extract 3D object and line features from dense LiDAR point clouds and imagery. Our unique data advantage allows us to develop and train cutting edge 3D scene understanding models that serve real surveyors and engineers in the field.

This role is both research-driven and product-focused. You'll design and train the models that power our automated extraction pipeline — image and 3D detection and localization — and work end-to-end from research prototype to production feature. You'll partner closely with infrastructure and product teams to take ideas from a paper to deployed capabilities.

This role is ideal for early-to-mid-career ML engineers who thrive on end-to-end ownership and are able to move fluidly from dissecting a new architecture paper to shipping the product feature that the resulting ML model backs.

Responsibilities
  • Design, train, and evaluate computer vision and 3D ML models for extracting CAD-grade geometry and features from dense LiDAR and imagery.
  • Drive ML research that translates directly into product capabilities: prototyping new approaches, running experiments, and identifying what’s shippable.
  • Own models through the full product lifecycle: problem framing, data strategy, training, evaluation, and final integration into our cloud-based CAD software, Digital Surveyor.
  • Develop evaluation methodology and metrics that reflect real surveying and engineering accuracy requirements.
  • Work with ML infrastructure engineers to scale training and inference of your models and with product teams to align your model’s behavior with what the user wants.
Requirements
  • Master's or PhD in Machine Learning, Computer Vision, Computer Science, or a related field, or equivalent industry experience.
  • Strong foundation in computer vision and deep learning, with hands‑on experience training models for segmentation, detection, or 3D understanding.
  • Experience taking a ML model from research/prototype to production, not just publishing or benchmarking.
  • Working knowledge of geometric concepts relevant to 3D perception like coordinate systems and 3D transforms.
  • Strong communication skills and the ability to collaborate with researchers, other engineers and product stakeholders.
  • Proficient with Python and a production-quality ML library like PyTorch, JAX, or TensorFlow.
Bonus qualifications
  • Experience with common 3D deep learning architectures, like point cloud backbones such as PTv3, sparse convolutions, or 3D detection/segmentation networks.
  • Experience with large unstructured datasets — imagery and 3D point clouds — at scale.
  • Experience delivering production-grade models with optimization techniques such as quantization, pruning, distillation, or runtime acceleration (e.g., TensorRT, ONNX Runtime).
  • Familiarity with multi‑GPU training and experiment management (Weights & Biases or similar).
  • Publications or strong open‑source contributions in computer vision or 3D machine learning.
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