Enable job alerts via email!

AI Infrastructure Engineer

Davita Inc.

San Francisco (CA)

Remote

USD 128,000 - 170,000

Full time

Yesterday
Be an early applicant

Boost your interview chances

Create a job specific, tailored resume for higher success rate.

Job summary

A leading company in AI Engineering seeks an AI/ML Engineer to join their fast-growing team in San Francisco. The role requires collaboration with stakeholders, innovative problem-solving, and strong programming skills in AI technologies. Candidates with a Master’s or PhD in related fields will excel, focusing on developing robust AI models and platforms.

Benefits

Life insurance
Paid time off
Tuition reimbursement

Qualifications

  • 2+ years of experience as AI/ML engineer or Data Scientist.
  • Experience using Java, C#, GoLang, or Python.
  • Proficiency in probabilities and statistics concepts.

Responsibilities

  • Collaborate with stakeholders to address customer needs.
  • Design, test, and instrument AI/ML platforms.
  • Develop and monitor AI/ML models.

Skills

Machine Learning
AI
Data Analysis
Collaboration
Problem Solving

Education

Master's or PhD in AI/ML-related field
Bachelor's in Computer Science, Software Engineering

Tools

GitHub Actions
Terraform
AWS
Kubernetes

Job description

life insurance, paid time off, tuition reimbursement

(*) This is a remote position; however, the candidate must reside within 30 miles of one of the following locations: Portland, ME; Boston, MA; Chicago, IL; San Francisco Bay Area, CA and Seattle/WA.

About the Team/Role

We are a fast-growing AI Engineering team, driving WEX's strategic vision to integrate artificial intelligence into the core of our product and business. Our team thrives on collaboration, working directly with stakeholders and domain experts to develop innovative AI platforms and solutions that enhance decision-making and create groundbreaking products that benefit our customers and help them to effectively grow their business. We foster a culture of continuous learning and believe that the best work stems from a shared purpose and an enjoyable, engaging environment.

How You'll Make an Impact

You are a highly motivated and results-oriented individual with a passion for AI, Machine Learning, and software engineering. You possess a strong drive to learn and excel in solving complex problems using data-driven tools and algorithms. You understand the importance of effective communication and collaboration in achieving successful outcomes.

How you'll make an impact

Collaborate with stakeholders to learn about our customers' needs and challenges.

Measure, inspect, and drive decisions using data.

Design, test, code, and instrument AI/ML platforms/tools.

Develop, evaluate, deploy, and monitor AI/ML models.

Develop and maintain CI/CD pipelines using tools such as GitHub Actions.

Implement Infrastructure as Code (IaC) using tools like Terraform.

Support live platforms/systems, promote proactive monitoring, rapid incident response, and continuous improvement.

Analyze existing platforms/systems and processes to identify bottlenecks and opportunities for improvements.

Experience You'll Bring

A Master's or PhD in an AI/ML-related field is strongly preferred.

Alternatively, a Bachelor's degree in Computer Science, Software Engineering, or a related field combined with a minimum of 2+ years of professional experience as an AI/ML engineer or a Data Scientist with strong software development skills.

Proven track record of delivering end-to-end solutions using diverse technologies, with Java, C#, GoLang, or Python as your core programming language.

Demonstrated ability to collaborate with stakeholders throughout the product delivery lifecycle.

Evidence of innovative problem-solving skills.

Experience with using Large Language Models for generative AI projects.

Experience with using ML algorithms and platforms.

Understanding of data processing techniques.

Experience in the financial industry is a plus.

Technical Skills

Proficiency in at least one of the languages mentioned above.

Experience in commonly used LLM models and/or ML packages including deep learning.

Solid understanding of probability and statistics concepts (distributions, Bayesian inference, maximum likelihood estimation, etc.).

Experience with software development and the SDLC.

Experience with Cloud technology such as AWS.

Familiarity with Kubernetes.

(*) This is a remote position; however, the candidate must reside within 30 miles of one of the following locations: Portland, ME; Boston, MA; Chicago, IL; San Francisco Bay Area, CA and Seattle/WA.

About the Team/Role

We are a fast-growing AI Engineering team, driving WEX's strategic vision to integrate artificial intelligence into the core of our product and business. Our team thrives on collaboration, working directly with stakeholders and domain experts to develop innovative AI platforms and solutions that enhance decision-making and create groundbreaking products that benefit our customers and help them to effectively grow their business. We foster a culture of continuous learning and believe that the best work stems from a shared purpose and an enjoyable, engaging environment.

How You'll Make an Impact

You are a highly motivated and results-oriented individual with a passion for AI, Machine Learning, and software engineering. You possess a strong drive to learn and excel in solving complex problems using data-driven tools and algorithms. You understand the importance of effective communication and collaboration in achieving successful outcomes.

How you'll make an impact

  • Collaborate with stakeholders to learn about our customers' needs and challenges.

  • Measure, inspect, and drive decisions using data.

  • Design, test, code, and instrument AI/ML platforms/tools.

  • Develop, evaluate, deploy, and monitor AI/ML models.

  • Develop and maintain CI/CD pipelines using tools such as GitHub Actions.

  • Implement Infrastructure as Code (IaC) using tools like Terraform.

  • Support live platforms/systems, promote proactive monitoring, rapid incident response, and continuous improvement.

  • Analyze existing platforms/systems and processes to identify bottlenecks and opportunities for improvements.

Experience You'll Bring

  • A Master's or PhD in an AI/ML-related field is strongly preferred.

  • Alternatively, a Bachelor's degree in Computer Science, Software Engineering, or a related field combined with a minimum of 2+ years of professional experience as an AI/ML engineer or a Data Scientist with strong software development skills.

  • Proven track record of delivering end-to-end solutions using diverse technologies, with Java, C#, GoLang, or Python as your core programming language.

  • Demonstrated ability to collaborate with stakeholders throughout the product delivery lifecycle.

  • Evidence of innovative problem-solving skills.

  • Experience with using Large Language Models for generative AI projects.

  • Experience with using ML algorithms and platforms.

  • Understanding of data processing techniques.

  • Experience in the financial industry is a plus.

Technical Skills

  • Proficiency in at least one of the languages mentioned above.

  • Experience in commonly used LLM models and/or ML packages including deep learning.

  • Strong data manipulation skills.

  • Solid understanding of probability and statistics concepts (distributions, Bayesian inference, maximum likelihood estimation, etc.).

  • Experience with software development and the SDLC.

  • Experience with Cloud technology such as AWS.

  • Familiarity with Kubernetes.

The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the "About Us" section.Pay Range: $128,000.00 - $170,000.00

Helping all candidates find great careers is our goal. The information you provide here is secure and confidential.

We are now directing you to the original job posting. Please apply directly for this job at the employer’s website.

Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.

Similar jobs

AI Infrastructure Engineer

Davita Inc.

Chicago null

Remote

Remote

USD 128,000 - 170,000

Full time

Today
Be an early applicant

AI Infrastructure Engineer

Davita Inc.

Portland null

Remote

Remote

USD 128,000 - 170,000

Full time

Today
Be an early applicant

AI Infrastructure Engineer

Davita Inc.

Boston null

Remote

Remote

USD 128,000 - 170,000

Full time

Today
Be an early applicant

AI Infrastructure Engineer

Davita Inc.

Seattle null

Remote

Remote

USD 128,000 - 170,000

Full time

Today
Be an early applicant

High Performance Computing and AI Infrastructure Engineer

Lockheed Martin

Town of Texas null

Remote

Remote

USD 73,000 - 130,000

Full time

23 days ago

High Performance Computing and AI Infrastructure Engineer

Lockheed Martin

Town of Texas null

Remote

Remote

USD 73,000 - 130,000

Full time

26 days ago

SENIOR KUBERNETES INFRASTRUCTURE ENGINEER (BARE METAL OPS) (REMOTE)

Fireflies.ai

San Francisco null

Remote

Remote

USD 130,000 - 180,000

Full time

3 days ago
Be an early applicant

AI Infrastructure Engineer

ZipRecruiter

San Francisco null

On-site

On-site

USD 110,000 - 160,000

Full time

29 days ago

Senior Cloud Infrastructure Engineer

ZipRecruiter

San Francisco null

Remote

Remote

USD 130,000 - 180,000

Full time

4 days ago
Be an early applicant