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Full Time No Experience Machine Learning Jobs (NOW HIRING)

Constellation Space

Machine Learning Engineer

Seattle, WA · On-site

$120K - $180K/yr

Proven experience deploying machine learning models into production. * Strong software engineering ... skills in Python and C++. * Experience with cloud platforms, containerization (Docker), and MLOps ...

Spear AI

Machine Learning Engineer

Required : • Several years of experience with Python and machine learning frameworks • Expertise in PyTorch for building and training neural networks • Experience training and serving models in ...

MSCI

Machine Learning Researcher

San Francisco, CA · On-site

$144K - $187K/yr

Collaborate with product, technology, and sales teams Your skills and experience that will help you ... Read our full note on careers.msci.com Employment Type: FULL_TIME

Articul8

Machine Learning Engineer

Dublin, CA · On-site

We are seeking machine learning engineers to join our team full-time. As part of your role, you ... Experience in machine learning projects in text or vision, e.g., has trained machine learning ...

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

  • Retirement

We have an opening for a Machine Learning (ML) Bioengineer to conduct research training and ... Experience with high-performance computing, multi-node, multi-GPU, distributed training.

Unitytech

Machine Learning Engineer

Mountain View, CA · On-site +1

$117K - $152K/yr

  • Medical

  • Life

  • Retirement

  • PTO

We're looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ... Working closely with experienced engineers and researchers, you'll contribute to systems that ...

Unitytech

Machine Learning Engineer

San Francisco, CA · On-site +1

$117K - $152K/yr

  • Medical

  • Life

  • Retirement

  • PTO

We're looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ... Working closely with experienced engineers and researchers, you'll contribute to systems that ...

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

  • Retirement

Wehave an opening for a Machine Learning (ML) Bioengineer to conduct research training and ... Experience with high-performance computing, multi-node, multi-GPU, distributed training.

IMC Trading

Machine Learning Researcher

Chicago, IL · On-site

The role involves designing and deploying machine learning models, collaborating with trading teams ... of experience building applied ML models • Proven expertise in developing and deploying ...

Tapestry

Machine Learning Engineer, Tapestry

Mountain View, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Experience in machine learning model development and engineering. * Expertise in one or more of the ... this full-time position is $166,000 - $244,000 + bonus + equity + benefits. Within the range ...

Tapestry

Machine Learning Engineer, Tapestry

Mountain View, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Experience in machine learning model development and engineering. * Expertise in one or more of the ... this full-time position is $166,000 - $244,000 + bonus + equity + benefits. Within the range ...

Booz Allen Hamilton, Inc.

Machine Learning Engineer

Arlington, VA · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

As an experienced AI and ML engineer, you know that machine learning is critical to understanding ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton

Machine Learning Engineer

Alexandria, VA · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

As an experienced AI and ML engineer, you know that machine learning is critical to understanding ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Machine Learning Engineer

Arlington, VA · On-site

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

As an experienced AI and ML engineer, you know that machine learning is critical to understanding ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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Full Time No Experience Machine Learning information

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How much do full time no experience machine learning jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for full time no experience machine learning in the United States is $22.82, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $25.48 per hour, depending on experience, location, and employer.

What is the difference between Full Time No Experience Machine Learning vs Data Analyst?

AspectFull Time No Experience Machine LearningData Analyst
Required CredentialsEntry-level, often no formal degree required, basic understanding of ML conceptsTypically requires a degree in data science, statistics, or related field
Work EnvironmentTech companies, startups, research labs; focus on developing ML modelsBusiness environments, finance, marketing; focus on data interpretation and reporting
Employer & Industry UsageGrowing in tech and AI sectors, entry-level roles for beginnersWidely used across industries for data-driven decision making

Full Time No Experience Machine Learning roles are designed for beginners interested in AI and ML, often requiring minimal prior experience. Data Analysts focus on interpreting data and generating reports, usually requiring a relevant degree. While ML roles emphasize model development, Data Analysts concentrate on data insights. Both roles are essential in data-driven industries but differ in skills and responsibilities.

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Full Time No Experience Machine Learning jobs near you
Infographic showing various Full Time No Experience Machine Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $47,468 per year, or $22.8 per hour.

Machine Learning Engineer

Escalon Services, LLC.

Santa Monica, CA • On-site

$100K - $120K/yr

Full-time

Medical, PTO

Posted 8 days ago

Job description

Machine Learning Engineer
Application Deadline: 30 September 2026
Department: Recruiting Done
Employment Type: Full Time
Location: Santa Monica
Compensation: $100,000 - $120,000 / year
Description
About Our Client
Our client is a technology company developing next-generation intelligent systems at the intersection of AI, XR, robotics, autonomy, and spatial computing. Their products support mission-critical applications across defense, public safety, and critical infrastructure. They are seeking passionate professionals who thrive in fast-paced environments and enjoy building impactful products from concept to deployment.
The Role
Our client is seeking a Machine Learning Engineer to help design and implement intelligent systems that extract meaning and predictive value from computer vision and behavioral datasets. This is a junior-level, in-person role suited for candidates with 2-3 years of experience and a solid foundation in deep learning, embeddings, and modern neural architectures.
As a member of the AI team, the ideal candidate will work on projects that leverage CNNs, transformer models, and embedding architectures to encode and reason over pose, facial, and action-based visual data. These systems support downstream tasks such as future action prediction, semantic matching, and similarity-based inference.
Key Responsibilities
  • Design and implement machine learning pipelines that encode visual input (pose, face, object/classification) into shared embedding spaces for similarity and predictive tasks.
  • Build and fine-tune convolutional and transformer-based neural architectures optimized for visual recognition and representation learning.
  • Develop encoding and embedding techniques that allow consistent comparison across multiple data types (e.g., pose vectors, facial landmarks, class labels).
  • Apply techniques such as cosine similarity, distance metrics, and latent clustering to perform behavioural inference and action prediction.
  • Contribute to model training, evaluation, and deployment workflows, including data preprocessing, augmentation, hyperparameter tuning, and performance profiling.
  • Collaborate closely with engineers in computer vision, embedded systems, software, and UI/UX to ensure seamless integration of AI pipelines into real-time systems.
  • Produce clean, well-documented code and maintain version-controlled model artefacts and experiment logs.
  • Write technical documentation for models, training procedures, evaluation criteria, and system integration.

Skills, Knowledge and Expertise
  • Bachelor's or Master's degree in Artificial Intelligence, Data Science, Computer Science, Machine Learning, or a closely related discipline.
  • 2-3 years of experience in machine learning roles through internships, academic labs, or early career positions.
  • Strong understanding of Convolutional Neural Networks (CNNs) for image and video-based tasks.
  • Strong understanding of transformer architectures and their applications in vision or multimodal learning.
  • Strong understanding of embedding systems and vector space modeling for semantic and similarity-based tasks.
  • Strong understanding of encoding mechanisms and dimensionality reduction techniques for latent representation.
  • Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
  • Familiarity with pose estimation, facial recognition, or classification models (e.g., OpenPose, MediaPipe, FaceNet, ResNet variants).
  • Experience training models with structured and unstructured visual datasets.
  • Exposure to techniques like cosine similarity, triplet loss, contrastive learning, or temporal prediction modeling.
  • Strong computer science fundamentals, including data structures, algorithms, and software design patterns.
  • Comfort working in Linux-based development environments and version control systems (Git).
  • A collaborative mindset, with excellent communication skills and a willingness to learn across domains.

Bonus (Nice to have):
  • Experience integrating vision-based AI models into embedded or robotics systems.
  • Familiarity with ONNX or TensorRT for model optimization and deployment.
  • Background in sequence modeling, recurrent architectures, or video-based action recognition.
  • Exposure to multimodal AI systems that blend image, pose, and metadata representations.
  • Familiarity with techniques like CLIP, DINO, or self-supervised representation learning.
  • Experience with MLOps or training orchestration tools such as MLflow, Weights & Biases, or DVC.

Other Requirements:
  • Must be a US Citizen or a valid Green Card holder. Visa sponsorship is not available for this role at this time.
  • Candidates must reside within a commutable distance of Santa Monica, California.

Benefits
  • Compensation: $100,000 to $120,000 per year
  • Comprehensive health coverage and flexible PTO
  • Opportunity to work on innovative AI, robotics, XR, and autonomous technologies
  • Collaborative multidisciplinary engineering environment
  • Career growth and professional development opportunities

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