1

Machine Learning Engineer From Home Jobs in Idaho

Machine Learning Engineer

Boise, ID ยท On-site

$110 - $150/hr

As a Machine Learning Engineer in the Identity and Fraud business at Equifax, you will solve ... Contribute to all phases of product development and delivery from Analysis & Design all the way ...

New

Our employees have the flexibility to choose where they do their best work--whether it's from home ... As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ...

Our employees have the flexibility to choose where they do their best work--whether it's from home ... As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ...

Our employees have the flexibility to choose where they do their best work--whether it's from home ... As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ...

Our employees have the flexibility to choose where they do their best work--whether it's from home ... As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ...

Our employees have the flexibility to choose where they do their best work--whether it's from home ... As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ...

Our employees have the flexibility to choose where they do their best work--whether it's from home ... As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ...

Our employees have the flexibility to choose where they do their best work--whether it's from home ... As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ...

Our employees have the flexibility to choose where they do their best work--whether it's from home ... As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ...

next page

Showing results 1-20

Machine Learning Engineer From Home information

Can a machine learning engineer work from home?

Yes, many machine learning engineers can work from home, especially in roles that involve data analysis, model development, and coding, which can often be performed remotely using cloud platforms and collaboration tools. However, some positions may require on-site presence for meetings, hardware access, or team collaboration, depending on the company's policies and project needs.

Is a machine learning engineer still in demand?

Yes, machine learning engineers are in high demand due to the increasing adoption of AI and data-driven solutions across industries. They are sought after for their skills in programming, data analysis, and deploying models using tools like Python, TensorFlow, and cloud platforms, with job growth expected to continue steadily.

What is the difference between Machine Learning Engineer From Home vs Data Scientist?

AspectMachine Learning Engineer From HomeData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentRemote, flexible hours, often project-basedRemote or on-site, collaborative teams, research-focused
Employer & Industry UsageTech companies, startups, AI firmsTech, finance, healthcare, research institutions
Common Search & ComparisonOften compared for technical skills and remote work optionsCompared for data analysis and modeling expertise

While both roles require strong technical credentials and often involve remote work, Machine Learning Engineers From Home focus on developing and deploying ML models, whereas Data Scientists analyze data to generate insights. The choice depends on whether you prefer building algorithms or interpreting data trends.

What are the most commonly searched types of Machine Learning Engineer jobs in Idaho? The most popular types of Machine Learning Engineer jobs in Idaho are:
What are popular job titles related to Machine Learning Engineer From Home jobs in Idaho? For Machine Learning Engineer From Home jobs in Idaho, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer From Home jobs in Idaho look for? The top searched job categories for Machine Learning Engineer From Home jobs in Idaho are:
What cities in Idaho are hiring for Machine Learning Engineer From Home jobs? Cities in Idaho with the most Machine Learning Engineer From Home job openings:

Machine Learning Engineer

SwiftCruit

Boise, ID โ€ข On-site

$110 - $150/hr

Other

Medical, Retirement, PTO

Posted 3 days ago

New


Job description

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.

This position does not offer immigration sponsorship (current or future) including F-1 STEM OPT extension support.

As a Machine Learning Engineer in the Identity and Fraud business at Equifax, you will solve challenging technology problems and build architecturally sound, high-quality software that moves data through models to make automated decisions. You will achieve success through communicating, collaborating, and developing creative and performant solutions to help Equifax provide certainty in every digital transaction for our customers. You should be a creative, driven, motivated engineer that can think outside the box, have the ability to learn quickly, and can deliver high-quality working solutions that are both maintainable and scalable. You will work with data scientists to develop requirements for novel algorithms, and with operations and other developers to bring data transformation pipelines and machine learning models to practice.

What youโ€™ll do
  • Design platforms and pipelines for researching, developing, and running machine learning models
  • Productionize machine learning models by building performant data transformations, storage, and pipelines
  • Develop and maintain microservices that serve data, model features, and scores to other internal services, as well as external customers
  • Demonstrate effective, respectful, and honest communication when collaborating with colleagues including a crossโ€‘functional team consisting of Data Science, Operations, and Engineering
  • Apply development and testing best practices (including unit, service, and integration tests) and demonstrate excellent software craftsmanship to produce maintainable, scalable, and quality solutions.
  • Contribute to all phases of product development and delivery from Analysis & Design all the way through to successful Deployment.
  • Deliver on company initiatives and projects prioritized for your team and support long term technical vision.
  • Collaborate with the product team, architects, and others to document features and changes.
  • Identify gaps and iterative improvements to legacy model platforms, frameworks, or governance stacks
  • Adhere to and influence best practices (i.e. security, architecture, platform, etc.)
  • Participate in peer design and code reviews
  • Participate in on-call rotation with other engineers
What experience you need
  • BS in Computer Science, Engineering, or equivalent experience.
  • 3+ years of strong software engineering and software architecture background using languages such as Golang, Python, and SQL.
  • 3+ years of experience building RESTful APIs and/or gRPC within a distributed microservice architecture.
  • 2+ years of experience implementing Amazon Web Services (e.g., IAM, Lambda, EKS, Neptune, DynamoDB, RDS).
  • 2+ years of experience using IaC tooling such as Terraform
  • Experience working with machine learning frameworks such as SparkMLlib, Scikit-Learn, MLflow, or TensorFlow.
  • Experience serving ML model inference at scale in lowโ€‘latency (<30ms) environments.
  • Experience with metrics, logging, and evaluating model performance (e.g., DataDog, evaluation latency, and ROC curves).
What could set you apart
  • Experience with Snowflake
  • Experience with AWS EMR
  • Experience deploying diverse model architectures into production using portable formats like ONNX or MLeap.

We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.

Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!

Primary Location:

USA-ID-Boise

Function:

Function - Tech Dev and Client Services

Schedule:

Full time

#J-18808-Ljbffr