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Machine learning Jobs in USA

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Machine learning • usa

Last updated: 3 days ago

Machine Learning Engineer

eTeam IncWashington, District of Columbia, United States
$60.00–$65.00 hourly$60.00–$65.00 hourly
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

innovitusaDes Moines, IA, Iowa, USA
ContractorContractor

Hiring: W2 Candidates Only 🚨</strong></p> <p><strong>Job Description:</strong><br /> We are seeking a Machine Learning Engineer to develop, deploy, and optimize... Show more

Machine Learning Engineer

ServiceNowSanta Clara, CALIFORNIA, United States
$158,900.00–$178,100.00 yearly$158,900.00–$178,100.00 yearly
Full-timeFull-time

The Multimodal team is transforming how ServiceNow understands multimodal content, including documents, images, and videos, by bringing the latest advances in AI into enterprise workflows.We build ... Show more

Machine Learning

BGC GroupNew York, NY, United States
Full-timeFull-time

Join Cantor Fitzgerald Technology Markets LLC as a Machine Learning Engineer focused on building AI‑driven solutions for a high‑volume financial services business.You will work closely with product... Show more

Machine Learning Engineer

Sperry Rail, Inc.Shelton, Connecticut, United States, 06484
Quick Apply

Sperry Rail is on a mission-critical journey to revolutionize the Rail Flaw Detection industry.Through the continuous development of cutting-edge diagnostic technologies and AI-assisted analysis, w... Show more

Machine Learning Specialist

Applied PhysicsNew York, NY, US
Full-timeFull-time
Quick Apply

Applied Physics is seeking a highly motivated and skilled professional to join our Machine Learning team at the Advanced Propulsion Laboratory at Applied Physics.In this role, you will have the opp... Show more

Machine Learning Engineer

HFT ArchitectureBeaverton, OR
$180,000.00–$240,000.00 yearly$180,000.00–$240,000.00 yearly

HFT Architecture builds short-horizon price prediction and the trading system around it.This role builds the pipeline from raw order-book records to a fitted, validated model: data preparation, fea... Show more

Machine Learning

OorwinDemo INDIACalifornia, PA, Mississippi, USA
Permanent, Full-timePermanent, Full-time

Use of cutting edge data mining, machine learning techniques for building advanced recommender systems, knowledge management, and insight generation.Understand business challenges and goals to form... Show more

Machine Learning Engineer

MolexFremont, California
$170,000.00–$250,000.00 yearly$170,000.00–$250,000.00 yearly

The ML Engineer will build physics-informed surrogate models on Azure Machine Learning that predict engineering simulation outcomes directly from design parameters.They will be pre-screening candid... Show more

Machine Learning Engineer

Swish AnalyticsSan Francisco, California, United States

Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products.We believe that oddsmaking is a challenge rooted in engi... Show more

Machine Learning Engineer

Sweep360New York, NY, US
$240,000.00 yearly$240,000.00 yearly
Full-timeFull-time
Quick Apply

TL;DR – We’re building humanity’s defense layer for the AI age and are looking for an exceptional machine learning engineer to build the AI decision system that turns raw signals into trusted opera... Show more

Machine Learning Engineer

VDart IncSan Antonio, TX, United States
Quick Apply

We are seeking an experienced <b>Machine Learning Engineer</b> to build, maintain, and scale end-to-end ML production pipelines.In this role, you will work closely with data teams and e... Show more

Machine Learning Developer

MIT Lincoln LaboratoryLexington, MA, US

The Transportation Safety and Resilience Group develops integrated sensing and decision support systems that enable a safe and resilient global transportation system.We specialize in systems analys... Show more

Machine Learning Engineer

VerneekNew York, NY, US
$200,000.00 yearly$200,000.00 yearly
Full-timeFull-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

Total SuccessChicago, Illinois, United States

Remote for US based candidates only.We are looking for an experienced Machine Learning Engineer Consultant to design, build, validate, and deploy quantitative models that support AI-enabled busines... Show more

Principal Machine Learning Engineer (Machine Learning Frameworks)

OracleNashville, Tennessee, US

Implements machine learning (ML) models for production.Ensures the readiness of machine learning models for deployment in production.Automates machine learning workflows.Creates infrastructure and ... Show more

Machine Learning Architect

Joy and Grace LLCRedwood City, California, United States
Full-timeFull-time
Quick Apply

As a Machine Learning Architect, you'll be the driving force behind the next generation of our autonomous fulfillment solutions, leading .You will be instrumental in evolving .Own th... Show more

Machine Learning Engineer

MatrixSpaceBurlington, MA, US
Full-timeFull-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.B... Show more

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Machine Learning Engineer

Machine Learning Engineer

eTeam IncWashington, District of Columbia, United States
30+ days ago
Salary
$60.00–$65.00 hourly
Job type
  • Quick Apply
Job description

Pay Rate: $60 - $65/Hour


Overview:


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 data scientists and engineers to put algorithms and models into practice to solve our customers' most challenging problems. You will take the lead in planning, designing, and running experiments, while researching new algorithms to deliver impactful solutions.


Key Responsibilities:

  • Design, build, and deploy machine learning models within the proposed platform, ensuring they are optimized for performance and scalability.
  • Collaborate with Data Scientists and Data Engineers to implement feature stores, model management (MLOps), and Explainable AI (XAI) capabilities.
  • Monitor and optimize the performance of deployed models, ensuring they meet business requirements and performance standards.
  • Support model management, versioning, and deployment workflows to streamline the operationalization of machine learning models.
  • Engage directly with customers to understand their business problems and help implement tailored ML solutions.
  • Deliver Machine Learning projects end-to-end, including understanding business needs, planning projects, aggregating & exploring data, building & validating predictive models, and deploying completed ML capabilities on the AWS Cloud to deliver business impact.
  • Utilize deep learning frameworks like PyTorch and TensorFlow to build computer vision models for versatile applications.
  • Work on large-scale datasets, creating scalable, robust, and accurate computer vision systems.
  • Collaborate with Cloud Architects to build secure, robust, and easy-to-deploy cloud-native machine learning solutions.
  • Work closely with customer account teams and product engineering teams to optimize model implementations and deploy cutting-edge algorithms.
  • Assist customers with Machine Learning Operations (MLOps) workflows such as model deployment, retraining, testing, and performance monitoring.
  • Apply best practices from core Software Development activities to Machine Learning, including deplorability, unit testing, and structured, extensible software development.


Preferred Qualifications:

  • Proven experience in building and deploying machine learning models at scale.
  • Proficiency with deep learning frameworks like PyTorch and TensorFlow.
  • Experience with cloud-native machine learning solutions, preferably on AWS.
  • Experience with Databricks
  • Experience with Agile Methodology
  • Strong understanding of MLOps workflows, including model management.
  • Ability to work independently and collaboratively with cross-functional teams.