Upwork Logo

Upwork

Lead Machine Learning Engineer, Infrastructure

Posted 15 Hours Ago
Remote
176K-278K Annually
Senior level
Remote
176K-278K Annually
Senior level
As a Lead Machine Learning Engineer, you will design and maintain scalable infrastructure for machine learning models, collaborating across teams to innovate and deliver high-quality software solutions.
The summary above was generated by AI

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 Engineer in the Machine Learning Infrastructure & Data team, you will play a pivotal role in designing, developing, and maintaining robust and scalable infrastructure components to support the company's machine learning initiatives. You will collaborate 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.

Key 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 to 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 the latest advancements in machine learning infrastructure, distributed computing, and cloud technologies, and integrate 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:

  • Passion for ML Infrastructure: We value enthusiasm for advancing ML infrastructure.

  • Proven Impact: Show us your track record of delivering impactful solutions.

  • Innovative Thinker: Bring creativity and fresh ideas to the table.

  • Technical Proficiency: Solid foundation in software engineering and ML concepts.

  • Collaborative Mindset: Strong communication and teamwork skills are a must.

  • Continuous Learner: Stay updated with the latest advancements in the field.

  • Problem-Solving Skills: Ability to tackle complex problems effectively.

  • Adaptability: Thrive in a fast-paced, dynamic environment.

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 physical offices in San Francisco and Chicago, currently we also hire full-time employees in 19 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.


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

$175,500-$277,500 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

Top Skills

Cloud Technologies
Distributed Systems
Machine Learning
Python
Software Engineering

Similar Jobs

14 Days Ago
Easy Apply
Remote
United States
Easy Apply
241K-307K Annually
Expert/Leader
241K-307K Annually
Expert/Leader
Hardware • Information Technology • Security • Software • Cybersecurity • Conversational AI
Lead the MLOps infrastructure team to develop cloud-based analytics for performance insights across customer networks, mentoring team members and collaborating on AI/ML strategies.
Top Skills: Amazon BedrockApache KafkaAWSAzureCloudFormationDockerFlinkGCPJarvisKerasKinesisKubernetesLangchainNoSQLPandasScikit-LearnSnowflakeSparkSQLTensorFlowTerraform
11 Hours Ago
Remote
USA
186K-294K Annually
Senior level
186K-294K Annually
Senior level
Cloud • HR Tech • Professional Services • Software
The Lead Machine Learning Infrastructure Engineer designs and optimizes infrastructure components for scalable ML workflows, collaborates with teams, and mentors junior engineers.
Top Skills: Cloud-Based Ml PlatformsDistributed SystemsJavaPythonScala
An Hour Ago
Remote
US
131K-210K Annually
Senior level
131K-210K Annually
Senior level
Cloud • Fintech • Food • Information Technology • Software • Hospitality
The Senior Software Engineer will enhance the onboarding experience for Toast customers by maintaining existing services, implementing new features, and collaborating with teams on architecture and tooling. Responsibilities include leading projects, providing code reviews, and mentoring team members.
Top Skills: DynamoDBGraphQLJavaKotlinRest

What you need to know about the Charlotte Tech Scene

Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.

Key Facts About Charlotte Tech

  • Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
  • Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
  • Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
  • Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account