Principal ML Infrastructure Engineer Position Available In Montgomery, Pennsylvania

Tallo's Job Summary: This job listing in Montgomery - PA has been recently added. Tallo will add a summary here for this job shortly.

Company:
Unclassified
Salary:
JobFull-timeRemote

Job Description

Job Description:

Upwork ($UPWK) is the world’s largest work marketplace,connecting businesses with highly skilled professionals worldwide.

From entrepreneurs to Fortune 100 enterprises, companies trustUpwork’s platform to access expert talent, leverage AI-powered worksolutions, and drive meaningful business outcomes. Upwork’sAI-powered platform has facilitated over $20 billion in economicopportunity for professionals worldwide. With professionalsspanning 10,000 skills, including AI and machine learning, softwaredevelopment, sales and marketing, customer support, finance andaccounting, and more, Upwork empowers businesses of all sizes toscale, innovate, and build agile teams. The Machine LearningInfrastructure & Data team is responsible for architecting andbuilding the foundational ML systems and tools that enableefficient development, deployment, and management of machinelearning models at scale. As a Principal ML Infrastructure Engineerin the Machine Learning Infrastructure & Data team, you will play apivotal role in designing, developing, and maintaining robust andscalable ML infrastructure components to support the companysmachine learning initiatives. You will collaborate closely withcross-functional teams including machine learning researchers, datascientists, and software engineers to build state-of-the-artplatforms and tools that accelerate the development and deploymentof machine learning models.

Responsibilities:
  • Own technicalworkstreams from start to finish, contribute to the team’s productroadmap, and be responsible for major technical decisions andtradeoffs. Effectively participate in team’s planning, codereviews, and design discussions
  • Consider the effects of projectsacross multiple teams and proactively manage conflicts. Worktogether with partner teams to achieve cross-departmental goals andsatisfy broad requirements
  • Design, implement, and optimizedistributed systems and infrastructure components to supportlarge-scale machine learning workflows, including data ingestion,feature engineering, model training, and serving.
  • Develop andmaintain frameworks, libraries, and tools to streamline theend-to-end machine learning lifecycle, from data preparation, modeltraining, evaluation, deployment, and monitoring.
  • Architect andimplement highly available, fault-tolerant, and secure systems thatmeet the performance and scalability requirements of productionmachine learning workloads.
  • Collaborate and publish with machinelearning researchers and data scientists on novel research andtranslate research into scalable and efficient software solutions.
  • Stay current with the latest advancements in machine learninginfrastructure, distributed computing, and cloud technologies, andintegrate them into our platform to drive innovation.
  • Mentorteammates, conduct code reviews, and uphold engineering bestpractices to ensure the delivery of high-quality softwaresolutions. What it takes to catch our eye:
  • Senior/Leadershiplevel experience in ML infrastructure engineering, ideally at aninnovative technology company.
Proven Impact:

Show us your trackrecord of delivering impactful solutions.

    Innovative Thinker:

    Bring creativity and fresh ideas to the table.

      TechnicalProficiency:

      Solid foundation in software engineering and MLconcepts.

        Collaborative Mindset:

        Strong communication andteamwork skills are a must.

          Continuous Learner:

          Stay updated withthe latest advancements in the field of AI.

          • Our Teams Tech stack:
          Compute:

          AWS, EKS, Databricks

          • Data:

            Snowflake, S3, SQLMesh, Feast

          • Workflow Automation:

            Airflow

          • Experiment Tracking:

            Weights &Biases, MLflow

          LLM Inference:

          Fireworks, in-house deployment onEKS At Upwork, you’ll shape talent solutions for how the worldworks today. We are a remote-first organization working together tocreate exciting remote work opportunities for a global community ofprofessionals. While we have physical offices in San Francisco andChicago, currently we also hire full-time employees in 19 states inthe United States. At the core of our vibrant culture are sharedvalues that form the foundation of our organization. These valuesrevolve around trust, risk-taking, customer focus, and excellence.

          Our overarching mission is to create economic opportunities so thatpeople have better lives. We foster an environment whereindividuals are encouraged to bring their authentic selves to work,nurturing personal and professional growth through developmentopportunities, mentorship programs, and participation in UpworkBelonging Communities.

          Other jobs in Montgomery

          Other jobs in Pennsylvania

          Start charting your path today.

          Connect with real educational and career-related opportunities.

          Get Started