Upwork ($UPWK) is the world’s work marketplace. We serve everyone from one-person startups to over 30% of the Fortune 100 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 $3.3 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 Engineering Infrastructure team is responsible for the infrastructure that supports the experimentation and analysis performed by the ML Engineers. Additionally, the team is responsible for data and machine learning pipelines and the productization and maintenance of key services used by a wide range of consumers across the company.
Your Responsibilities:
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Mentor a growing team of ML engineers & managers (10 ICs, 2 team leads/line managers) to build scalable infrastructure for all of the MLE teams at Upwork.
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Drive improvements in processes or systems ensuring alignment with key imperatives and core strategies of the Machine Learning Engineering organization
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Work closely with MLE Teams: Growth, Search, and Trust & Safety (T&S).
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Negotiate requirements with data engineering/data platform,, front-end engineering, marketplace, and ontology teams to ensure accurate input data for models & proper logging.
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Drive on-time delivery and execution of key projects while maintaining high quality work within SLAs (latency, availability, etc.)
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Work collaboratively in driving the development of solutions for the organization. Ability to communicate to multiple collaborators and levels to drive scope, decision, and results.
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Recruit and engage talents to build an exceptional, diverse and inclusive team.
What it takes to catch our eye:
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Product Leadership, Prioritization & Results: A consistent track record of driving complex company wide technology initiatives with agile method & high impact results. Demonstrable experience of delivering product features within tight deadlines, in collaboration with multiple partner groups and contending priorities
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Team Development & Collaboration: Proven management experience hiring, developing, and leading engineering teams in multiple time zones. Experience in hands-on coaching, peer mentoring, code review and on-call support. Proven ability to work in a fast-paced, iterative environment and lead the parallel development and delivery of features on multiple related product areas. Experience driving large, scalable system architectures partnering with technology leaders in the company.
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Technical Expertise (Breadth): Hands-on MLE-on experience designing ML-focused platforms and infrastructure that accelerate model development, training, deployment and monitoring.
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Technical Expertise (Depth): Extremely proficient (Java and Python), hands on MLE experience (Spark ETL, Databricks, SageMaker, Kafka), strong understanding of ML experimentation tools (MLFlow), ML orchestration and pipelines (Airflow, Kubernetes, Kubeflow), databases (SQL, RMLE) and ML libraries (pandas, matplotlib, TensorFlow, PyTorch, etc), highly qualified in crafting distributed systems for cloud-based Microservices architecture (AWS is required)
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Mission Interest: Passion for Upwork and a deep appreciation of Upwork’s mission and impact
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 support hiring of corporate full-time employees in 15 states in the United States. Please speak with a member of our recruitment team to determine whether you are located in a state in which we are hiring corporate full-time employees.
Our vibrant culture is built on shared values and our mission to create economic opportunities so that people have better lives. We foster amazing teams, put our community first, and have a bias toward action. We encourage everyone to bring their whole selves to work and grow together through development opportunities, mentorship, and employee resource groups. Oh yeah, we’ve also got amazing benefits.
Check out our Life at Upwork 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.
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