Lead Machine Learning Infrastructure Engineer

1 Week ago • All levels • $185,500 PA - $293,750 PA

Job Summary

Job Description

As a Lead Machine Learning Infrastructure Engineer at Upwork, you will be responsible for designing and building systems to support machine learning models at scale. This includes designing, implementing, and optimizing distributed systems and infrastructure components, as well as developing tools and frameworks for the entire machine learning lifecycle. Collaboration with cross-functional teams and mentoring junior engineers are also key responsibilities. The role requires a deep understanding of ML workflows and a passion for innovation. Upwork offers a remote-first environment and provides comprehensive benefits to its employees.
Must have:
  • Expertise in designing and building scalable ML infrastructure.
  • Experience with distributed systems and cloud-based ML platforms.
  • Proficiency in programming languages like Python, Java, or Scala.
  • Understanding of ML workflows including data pipelines, model training, and deployment.
Perks:
  • Comprehensive medical insurance coverage for you and your family.
  • Unlimited paid time off.
  • 401(k) plan with matching contributions.
  • 12 weeks of paid parental leave.
  • Employee Stock Purchase Plan.

Job Details

Upwork ($UPWK) is the world’s work marketplace. We serve everyone from one-person startups to large, Fortune 100 enterprises with a powerful, trust-driven platform that enables companies and talent to work together in new ways that unlock their potential.

Last year, more than $3.8 billion of work was done through Upwork by skilled professionals who are gaining more control by finding work they are passionate about and innovating their careers.


The Machine Learning Infrastructure & Data team is responsible for architecting and building the foundational systems and tools that enable efficient development, deployment, and management of machine learning models at scale.

As a Lead Machine Learning Infrastructure Engineer, you will be pivotal in designing, developing, and maintaining robust and scalable infrastructure components to support Upwork’s machine learning initiatives. You will work closely with cross-functional teams—including machine learning researchers, data scientists, and software engineers—to build state-of-the-art platforms and tools that accelerate the development and deployment of machine learning models.

Responsibilities:

  • Design, implement, and optimize distributed systems and infrastructure components to support large-scale machine learning workflows, including data ingestion, feature engineering, model training, and serving.
  • Develop and maintain frameworks, libraries, and tools that streamline the end-to-end machine learning lifecycle, from data preparation and experimentation to model deployment and monitoring.
  • Architect and implement highly available, fault-tolerant, and secure systems that meet the performance and scalability requirements of production machine learning workloads.
  • Collaborate with machine learning researchers and data scientists to understand their requirements and translate them into scalable and efficient software solutions.
  • Stay current with advancements in machine learning infrastructure, distributed computing, and cloud technologies, integrating them into our platform to drive innovation.
  • Mentor junior engineers, conduct code reviews, and uphold engineering best practices to ensure the delivery of high-quality software solutions.

What it takes to catch our eye:

  • Strong technical expertise in designing and building scalable ML infrastructure.
  • Experience with distributed systems and cloud-based ML platforms.
  • Proficiency in programming languages such as Python, Java, or Scala.
  • Deep understanding of ML workflows, including data pipelines, model training, and deployment.
  • Passion for innovation and eagerness to implement the latest advancements in ML infrastructure.
  • Strong problem-solving skills and ability to optimize complex systems for performance and reliability.
  • Collaborative mindset with excellent communication skills to work across teams.
  • Ability to thrive in a fast-paced, dynamic environment with evolving technical challenges.

Come change how the world works.

At Upwork, you’ll shape talent solutions for how the world works today. We are a remote-first organization working together to create exciting remote work opportunities for a global community of professionals. While we have a physical office in Palo Alto, we currently hire full-time employees in 21 states in the United States.

At the core of our vibrant culture are shared values that form the foundation of our organization. These values revolve around trust, risk-taking, customer focus, and excellence. Our overarching mission is to create economic opportunities so that people have better lives. We foster an environment where individuals are encouraged to bring their authentic selves to work, nurturing personal and professional growth through development opportunities, mentorship programs, and participation in Upwork Belonging Communities.

We take pride in providing exceptional benefits to our employees. These include comprehensive medical insurance coverage for both you and your family, unlimited paid time off, a 401(k) plan with matching contributions, 12 weeks of paid parental leave, and an Employee Stock Purchase Plan. To explore these benefits in detail, as well as gain insights into our company values, working principles, and the overall employee experience, we invite you to visit our Life at Upwork page.

Check out our Careers page to learn more about the employee experience.

Upwork is proudly committed to recruiting and retaining a diverse and inclusive workforce. As an Equal Opportunity Employer, we never discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical condition), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Additionally, a criminal background check may be run on a candidate after a conditional offer of employment is made. Qualified applicants with arrest or conviction records will be considered in accordance with applicable law, including the California Fair Chance Act and local Fair Chance ordinances.

The annual base salary range for this position  is displayed below. The range displayed reflects the minimum and maximum salary for this position, and individual base pay will depend on your skills, qualifications, experience, and location. Additionally, this position is eligible for the annual bonus plan or sales incentive plan and eligibility to participate in our long term equity incentive program.

Annual Base Compensation

$185,500 - $293,750 USD

To learn more about how Upwork processes and protects your personal information as part of the application process, please review our Global Job Applicant Privacy Notice

Similar Jobs

PhonePe - Product Solution Engineer

PhonePe

Pune, Maharashtra, India (On-Site)
1 Week ago
ByteDance - Senior Backend Software Engineer

ByteDance

San Jose, California, United States (On-Site)
2 Months ago
Google - Software Engineer II, Information Security

Google

Munich, Bavaria, Germany (On-Site)
3 Weeks ago
LTI Mindtree - Senior Specialist - Software Engineering

LTI Mindtree

Mexico City, Mexico City, Mexico (On-Site)
2 Weeks ago
Zeta - Senior Software Development Engineer _ Backend

Zeta

Bengaluru, Karnataka, India (On-Site)
6 Months ago

Get notifed when new similar jobs are uploaded

Similar Skill Jobs

Accenture - Software Development Engineer

Accenture

Coimbatore, Tamil Nadu, India (On-Site)
1 Day ago
Mendix - Senior Software Engineer – AI Platform Development

Mendix

Rotterdam, South Holland, Netherlands (Hybrid)
1 Week ago
Meta - Software Engineering Manager, Product Infrastructure

Meta

Redmond, Washington, United States (Remote)
6 Months ago
OKX - Data Engineer

OKX

Hong Kong (On-Site)
7 Months ago
Meta - Software Engineer, Intern/Co-op

Meta

Bellevue, Washington, United States (On-Site)
6 Months ago
Cubic Corporation - Senior Software Engineer (Full Stack)

Cubic Corporation

Hyderabad, Telangana, India (On-Site)
1 Week ago
Axon - Senior Application Security Engineer

Axon

Seattle, Washington, United States (Hybrid)
1 Week ago
Google - Senior Software Engineer, Google Cloud Dataproc

Google

Sunnyvale, California, United States (On-Site)
4 Weeks ago
ION - Cloud Engineer Kubernetes

ION

Italy (Hybrid)
7 Months ago
Knuddels - Software Development Internship

Knuddels

Baden-Württemberg, Germany (On-Site)
1 Month ago

Get notifed when new similar jobs are uploaded

Jobs in Worldwide

Looks like we're out of matches

Set up an alert and we'll send you similar jobs the moment they appear!

Similar Category Jobs

Looks like we're out of matches

Set up an alert and we'll send you similar jobs the moment they appear!

About The Company

Upwork is the world’s work marketplace that connects businesses with independent talent from across the globe. We serve everyone from one-person startups to large, Fortune 100 enterprises with a powerful, trust-driven platform that enables companies and talent to work together in new ways that unlock their potential. Our talent community on Upwork encompasses more than 10,000 skills in categories including website & app development, creative & design, customer support, finance & accounting, consulting, and operations.

View All Jobs

Get notified when new jobs are added by Upwork

Level Up Your Career in Game Development!

Transform Your Passion into Profession with Our Comprehensive Courses for Aspiring Game Developers.

Job Common Plug