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Senior Machine Learning Engineer
hace 2 semanas
Only available for candidates from Buenos Aires, Argentina.
Our client is part of a global community with a mission to facilitate helping and supporting each other. They have recently joined forces with Classy, a nonprofit fundraising software company, to empower individuals and organizations in raising over $25 billion since 2010. Their ultimate goal is to become the most supportive platform in the world.
We are in search of a passionate, skilled, and dynamic Senior Machine Learning Engineer to join our team of highly talented engineers. If you get excited about exploring new ideas and hypotheses related to social fundraising through data research, then this is the perfect role for you.
This is a remote position for the initial 6 to 12 months, then transitioning to a hybrid model.
The Role- Develop and enhance machine learning systems to address engaging challenges that enhance the experience for campaign organizers, potential donors, and supporters.
- Conduct research to recognize and implement features that aid in predicting user actions like donations, launching campaigns, and supporting others' campaigns.
- Create and execute robust machine learning algorithms within distributed frameworks.
- Provide scalable and high-performing ML solutions for various products.
- Thrive in a fast-paced environment with continuous research, experimentation, and product releases.
- Establish efficient systems for processing large datasets and be adept at using distributed programming frameworks such as Hadoop/Spark.
- Collaborate with cross-functional teams (Product, Design, Data, etc.) to bring your discoveries to life.
- 5+ years of experience in developing end-to-end machine learning products, spanning from data collection to model training, deployment, and performance monitoring.
- BS, MS, or PhD in Computer Science or a related technical field.
- Solid background in managing, processing, and analyzing big data using technologies like Apache, Spark, or similar.
- Proficiency in information retrieval and a willingness to experiment with and incorporate innovative techniques into the existing system.
- Ability to write modular, scalable, and easily expandable end-to-end pipeline code.
- An affinity for boba tea and a sense of humor (optional but valued).
- Competitive compensation and benefits.
- Comprehensive healthcare coverage and flexible time off policies.
- Financial support for onboarding, hybrid work arrangements, wellness, and family planning.
- Diverse mental and wellness programs for employee support.
- Learning and development initiatives along with recognition programs.
- "Gives Back" Program allowing employees to nominate a fundraiser for weekly donations.
- Strong emphasis on inclusion, diversity, equity, and belonging integrated into all processes and programs.
- Employee resource groups and a sense of purpose in your work that impacts lives globally.
- Be part of a collaborative and celebratory team that embodies core values such as excellence, problem-solving, trust-building, and purpose-driven actions.
- Recognized as a Great Place to Work, with continuous growth and promising opportunities.
The organization is an equal opportunity employer committed to diversity and inclusion, providing training to uphold these values across all levels of the company. They do not discriminate based on various factors such as race, religion, gender, sexual orientation, age, or disability.
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