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Machine learning engineer Jobs in USA

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Machine learning engineer • usa

Last updated: 13 hours ago

Machine Learning Engineer

Escalon Services, LLC.Santa Monica, California, US
$100,000.00 yearly
Full-time
Quick Apply

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 ap... Show more

Machine Learning Engineer

Colgate-Palmolive CompanyNew York, NY, US
Full-time

No Relocation Assistance Offered.Job Number #174332 - New York, New York, United States.Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing ... Show more

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Machine Learning Engineer

eTeam IncWashington, District of Columbia, United States
$60.00 hourly
Full-time
Quick Apply

We are seeking a skilled and experienced Machine Learning (ML) Engineer to join our team in a customer-facing role.You will architect and implement innovative ML solutions, working closely with dat... Show more

Machine Learning Engineer

TeleWorld SolutionsPlano, TX, US
Full-time

Overview TeleWorld Solutions is seeking a Machine Learning Engineer for our team! As a Performance Assurance Machine Learning Engineer, you will work under the coaching of Senior and Lead engineers... Show more

 • Promoted

Machine Learning Engineer

GivzeyUnited States
Full-time

We're looking for a talented and motivated Machine Learning Engineer to join our team and help develop cutting-edge AI solutions.In this role, you'll have the opportunity to shape and create our ma... Show more

Machine Learning Engineer

EBSCO Industries IncMA, US
Full-time

Headquartered in Birmingham, Alabama, Moultrie (.We take pride in developing deep user understanding, obsessing about the details, and going the extra mile to show our users we love them.Moultrie i... Show more

Machine Learning Engineer

Griffin Global SystemsLong Island City, NY, United States
Full-time

Required experience & education:.Strong programming skills in languages such as Python and experience with libraries like TensorFlow, PyTorch, or scikit-learn.Proficiency in data manipulation, ... Show more

Machine Learning Engineer

J5 ConsultingHerndon, US
Full-time
Quick Apply

J5 Consulting is a Maryland based company established in 2006 to provide computing and consulting services for government and commercial entities.Our services improve Information System networking ... Show more

Machine Learning Engineer

SSi PeoplePleasanton/ California
Full-time

We are supporting a company seeking a Machine Learning Engineer to develop, deploy, and optimize machine learning models for a range of applications.Our team is looking for a professional who can c... Show more

Machine Learning Engineer

VerneekNew York, NY, US
$40,000.00 yearly
Full-time
Quick Apply

Do you want to be part of the core team building truly AI-native helpful experiences across the consumer space? Do you want to be at the cutting edge of what is next in the AI space but apply it to... Show more

Machine Learning Engineer

ExaCare IncNew York, New York, United States, 10018
Full-time
Quick Apply

AI operating system for post-acute care.Our platform turns messy, unstructured referral packets into clear clinical insights and next steps, so teams can make faster, safer placement decisions with... Show more

Machine Learning Engineer

Tiger Analytics Inc.US
Remote
Full-time
Quick Apply

Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges.We are on a mission to push the boundaries ... Show more

Machine Learning Engineer

Multi Media LLCUS
$180,000.00 yearly
Remote
Full-time
Quick Apply

Multi Media LLC is the company behind Chaturbate, one of the most heavily trafficked live streaming platforms in the world.We support a global network of independent content creators and millions o... Show more

Machine Learning Engineer

UnissantAshburn, VA, USA
$112,000.00 yearly
Full-time
Quick Apply

We apply our domain expertise, data acumen, and technology know-how to achieve breakthrough results for our clients.Working collaboratively, we advance missions and careers through a focus on hones... Show more

Machine Learning Engineer

Bask HealthUS
$25,000.00–$60,000.00 yearly
Remote
Full-time
Quick Apply

Bask Health is at the forefront of the health-tech industry, providing personalized healthcare experiences through advanced, user-friendly technology.Our platform serves as a launchpad for entrepre... Show more

Machine Learning Engineer

DEKA Research & DevelopmentManchester, NH, US
Full-time
Quick Apply

We're looking for a Machine Learning Engineer who can operate at the intersection of backend engineering and applied machine learning.If you want to design distributed systems, deploy production ML... Show more

Machine Learning Engineer

MatrixSpaceBurlington, MA, US
Full-time

Help us bridge machine learning research and real-world deployment! MatrixSpace develops AI-enabled radar and sensing systems that help people understand what's happening in the world around them.... Show more

Machine Learning Engineer

Grey Matters Defense SolutionsCentennial, CO, US
$154,000.00 yearly
Full-time
Quick Apply

Machine Learning Engineer            Clearance Required: TS/SCI Location:  Centennial, CO | Hybrid  About Us Grey Matters Defense Solutions, LLC is a special... Show more

Machine Learning Engineer

Siri InfoSolutions IncAustin, TX, United States
Full-time
Quick Apply

Machine Learning Engineer</b></p> <p><b>Location: Austin, TX</b></p> <p><b>WebEx hire </b></p> <p> </p> <p><b>Mu... Show more

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Machine Learning Engineer

Machine Learning Engineer

Escalon Services, LLC.Santa Monica, California, US
12 days ago
Salary
$100,000.00 yearly
Job type
  • Full-time
  • Quick Apply
Job description

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