Talent.com

Entry level machine learning engineer Jobs in USA

Create a job alert for this search

Entry level machine learning engineer • usa

Last updated: 3 days ago

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

Entry Level AI & Machine Learning Engineer

SynergisticITRaleigh, NC
Full-time

ML/AI Programmer — Build Practical AI Skills Employers Understand.AI is one of the most exciting areas in tech, but employers are not simply looking for candidates who have watched AI videos or com... Show more

entry level machine learning engineer-remote

SynergisticITMadison, WI
Remote
Full-time

Stop Guessing What Employers Want — Start Delivering It.No Interviews or Offers? Get Hired with a Process!.Most job seekers guess what employers want, but SynergisticIT shows you exactly what compa... Show more

Machine Learning Engineer, Level 4

Snap Inc.Palo Alto, California
$173,000.00 yearly
Full-time

We believe the camera presents the greatest opportunity to improve the way people live and communicate.Snap contributes to human progress by empowering people to express themselves, live in the mom... Show more

Machine Learning Engineer, Level 5

Snap Inc.San Francisco, California
$209,000.00 yearly
Full-time

We believe the camera presents the greatest opportunity to improve the way people live and communicate.Snap contributes to human progress by empowering people to express themselves, live in the mom... Show more

entry level machine learning engineer-remote

SynergisticITBerkeley, CA
Remote
Full-time

Turn a Tech Layoff or a Career Gap Into a Reset for a Better Career.Laid Off in Tech? Rebuild Momentum With a Placement Process.Returning to Tech After a Break? Worried About a Gap?.A layoff or a C... Show more

entry level machine learning engineer-remote

SynergisticITEvanston, IL
Remote
Full-time

Entry-Level AI Programmer — Learn to Build Useful AI Applications.AI is changing how companies build products, automate work, analyze information, and serve customers.But entry-level AI candidates ... Show more

Machine Learning Engineer, Level 5

Snap Inc.Palo Alto, California
$209,000.00 yearly
Full-time

We believe the camera presents the greatest opportunity to improve the way people live and communicate.Snap contributes to human progress by empowering people to express themselves, live in the mom... Show more

Machine Learning Engineer

MolexAustin, US
$170,000.00–$250,000.00 yearly
Full-time

Your Job 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-... 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

innovitusaAtlanta, GA, Georgia, USA
Full-time

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, Level 4

Snap Inc.Bellevue, Washington
$173,000.00 yearly
Full-time

We believe the camera presents the greatest opportunity to improve the way people live and communicate.Snap contributes to human progress by empowering people to express themselves, live in the mom... Show more

Entry Level AI & Machine Learning Engineer (Remote)

SynergisticITBirmingham, AL
Remote
Full-time

Career Gap? Outdated Tech stack? No Interviews? Let's Get you Hired with a Process.Many job seekers assume their skills have expired simply because they've been out of the workforce or recently lai... Show more

Machine Learning Engineer, Level 5

Snap Inc.Los Angeles, California
$209,000.00 yearly
Full-time

We believe the camera presents the greatest opportunity to improve the way people live and communicate.Snap contributes to human progress by empowering people to express themselves, live in the mom... 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

Entry Level Machine Learning Engineer

SynergisticITBoston, MA
Full-time

ML Engineer / Junior AI Developer — Build AI With Strong Foundations.Machine learning and AI roles require more than enthusiasm.Employers want candidates who can code, work with data, understand mo... Show more

Mid-Level Machine Learning Engineer

Nyla Technology SolutionsAnnapolis Junction, MD, US
Full-time

Job Description</h3><br /><p><strong>ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED</strong></p><p><br /></p><p>We a... Show more

Machine Learning Engineer

Weekday IncNew York, NY, us
$150,000.00 yearly
Full-time
Quick Apply

This role is for one of our clients.We are seeking a talented and motivated Machine Learning Engineer to join our growing engineering team in New York City.In this role, you will develop, deploy, a... Show more

People also ask
Machine Learning Engineer

Machine Learning Engineer

GivzeyUnited States
30+ days ago
Job type
  • Full-time
Job description

Machine Learning Engineer

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 machine learning capabilities from the ground up. You'll be at the forefront of innovation, designing and implementing ML systems that drive our business forward.

Responsibilities:

  • Design, develop, and implement machine learning models and algorithms
  • Analyze large datasets and extract meaningful insights
  • Collaborate with cross-functional teams to integrate ML solutions into existing systems
  • Optimize ML models for performance and scalability
  • Stay current with the latest advancements in machine learning and AI
  • Create and implement big data processing pipelines and architectures
  • Design and build scalable data infrastructure to support ML applications

Requirements:

  • US Citizen
  • Bachelor's or Master's degree in Computer Science, Data Science, or related field
  • 3+ years of experience in machine learning or AI development
  • Strong proficiency in Python and its ML/data science libraries (e.g., TensorFlow, PyTorch, scikit-learn, pandas)
  • Solid understanding of machine learning algorithms and statistical modeling
  • Experience with big data technologies (e.g., Hadoop, Spark, Kafka)
  • Proven ability to create and implement big data solutions from scratch
  • Comfortable setting up and managing distributed computing environments
  • Experience in designing and implementing data pipelines for large-scale data processing
  • Proficient in working with various database systems, both SQL and NoSQL, depending on the use case
  • Strong skills in data modeling and database design for machine learning applications
  • Excellent problem-solving and analytical skills
  • Strong communication skills and ability to work in a team environment

Preferred Qualifications:

  • Experience in creating and managing real-time data streaming architectures
  • AWS Certified Machine Learning - Specialty or AWS Certified Big Data - Specialty
  • Experience with AWS machine learning services
  • Proficiency in using AWS big data services
  • Knowledge of serverless architectures on AWS (e.g., Lambda)
  • Experience in creating and managing real-time data streaming architectures on AWS (e.g., Kinesis)
  • Understanding of AWS security best practices for machine learning and data processing workflows



What you'll do day-to-day:

  • Be a member of a world-class team focused on inventing solutions that have the ability to impact the world
  • Tackle a wide variety of technical problems throughout the stack and contribute daily to all parts of our product code base
  • Help build a beautiful, intuitive product that revolutionizes the nonprofit industry
  • Work closely with our customers, founders, team members and Board to understand customer pain points, develop solutions, and prototype, iterate, and deploy code on regular cycles