Lead Machine Learning Engineer, Infrastructure Position Available In Montgomery, Pennsylvania

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 systems and tools that enable efficientdevelopment, deployment, and management of machine learning modelsat scale. As a Lead Machine Learning Engineer in the MachineLearning Infrastructure & Data team, you will play a pivotal rolein designing, developing, and maintaining robust and scalableinfrastructure components to support the companys machine learninginitiatives. You will collaborate closely with cross-functionalteams including machine learning researchers, data scientists, andsoftware engineers to build state-of-the-art platforms and toolsthat accelerate the development and deployment of machine learningmodels.

Key Responsibilities:

• 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 andexperimentation to model deployment and monitoring.
• Architect andimplement highly available, fault-tolerant, and secure systems thatmeet the performance and scalability requirements of productionmachine learning workloads.
• Collaborate with machine learningresearchers and data scientists to understand their requirementsand translate them 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.
• Mentorjunior engineers, conduct code reviews, and uphold engineering bestpractices to ensure the delivery of high-quality softwaresolutions. What it takes to catch our eye:
• Passion for

MLInfrastructure:

We value enthusiasm for advancing MLinfrastructure.

Proven Impact:

Show us your track record ofdelivering impactful solutions.

Innovative Thinker:

Bringcreativity and fresh ideas to the table.

Technical Proficiency:

Solid foundation in software engineering and ML concepts.

• Collaborative Mindset:

  Strong communication and teamwork skills area must.

Continuous Learner:

Stay updated with the latestadvancements in the field.

Problem-Solving Skills:

Ability totackle complex problems effectively.

Adaptability:

Thrive in afast-paced, dynamic environment.