Upwork Logo

Upwork

Senior ML Infra Engineer, Machine Learning Infrastructure & Data

Posted 19 Days Ago
Remote
Senior level
Remote
Senior level
The Senior ML Infra Engineer will design and maintain robust infrastructure for machine learning, collaborating with teams to streamline workflows, ensure quality, and integrate advanced technologies. Responsibilities include optimizing distributed systems, developing tools for the machine learning lifecycle, and mentoring junior engineers.
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 Senior ML Infra 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.

Your 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.

The annual base salary for this position in California and Washington ranges from $144000 - $230000. The range displayed reflects the minimum and maximum salary for this position in California and Washington, 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.

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.

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.


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

Machine Learning

Similar Jobs

8 Days Ago
Remote
Seattle, WA, USA
Senior level
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
As a Principal Machine Learning Systems Engineer, you will lead the design and deployment of scalable ML systems, ensuring system reliability and performance. You will mentor junior engineers and collaborate with various teams to translate complex ML models into production-ready solutions while driving architectural decisions.
Top Skills: Machine Learning
19 Days Ago
Remote
Hybrid
8 Locations
Senior level
Senior level
Blockchain • Fintech • Mobile • Payments • Software • Financial Services
The role involves designing, building, and maintaining machine learning systems for real-time fraud detection at Cash App. Senior Machine Learning Engineers will collaborate with ML Modelers, work on large-scale technical problems, and oversee solutions from design to operation.
Top Skills: JavaKotlinPython
2 Days Ago
Remote
San Francisco, CA, USA
Mid level
Mid level
Artificial Intelligence • Software
The Machine Learning Engineer will design, develop, and maintain ML code for products focused on LLM safety. Responsibilities include implementing safety techniques, testing product features, and collaborating with various teams to enhance customer integration of LLMs.
Top Skills: LlmMachine Learning

What you need to know about the Ottawa Tech Scene

The capital city of Canada and the nation's fourth-largest urban area, Ottawa has proven a rapidly growing global tech hub. With over 1,800 tech companies, many of which are leaders in their sectors, the city's tech talent now makes up more than 13 percent of its total workforce. This growth is driven not only by the big players like UL Solutions and Dropbox, but also by a thriving startup ecosystem, as new businesses emerge to follow in the footsteps of those that came before them.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account