PayPal searching Machine Learning Engineer | Join now
- Job Title: Machine Learning Engineer
- Company: PayPal
- Degree: Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field
- Location: San Jose, CA
- Experience: 3-5 years with a Bachelor’s degree or 2-4 years with a Master’s degree in relevant fields
- Employment Type: Full-Time
- Salary: $72,700 – $176,000 a year
PayPal searching Machine Learning Engineer to enroll in our AI/ML Platform and Solutions enterprise company. In this pivotal role, you could contribute to constructing PayPal’s AI platform within the cloud, focusing on advice fashions at scale. You will allow real-time characteristic processing in the usage of vector and graph shops while optimizing fundamental overall performance and compute charges. Collaborating with international, move-beneficial businesses from both company and technology domains, you may help address complex employer needs.
Meet Our Team
Our AI/ML Engineering team is on a mission to revolutionize exchange with the useful resource of the use of connecting customers and investors through customized shopping research. As a distinctly recommended self-starter, you will help form the future of checkout at PayPal, impacting over 4 hundred million purchasers and 30 million buyers internationally. Your artwork will lay the inspiration for AI/ML skills that enhance the shopping and checkout experience.
Your Day-to-Day Responsibilities
- Design and build large-scale allotted structures that guide the give-up-to-surrender device getting-to-know (ML) lifecycle.
- Collaborate carefully with information scientists, analysts, and special stakeholders to apprehend statistics requirements, supply innovative answers, and ensure the supply, reliability, and scalability of the ML platform.
- Facilitate clean collaboration with pass-practical companies from both industrial enterprise and era domain names to align mission dreams, collect necessities, and energy successful project results.
Qualifications
- Bachelor’s degree with three to five years of experience, or a Master’s diploma with 2-four years of revel in.
- Deep expertise in distributed systems, cloud infrastructure, and ML operations.
- Solid hold close of tool studying requirements, algorithms, and strategies, with enjoyment in developing and deploying machine reading fashions.
- Proficiency in more than one programming/scripting language, together with Unix/Linux Shell Scripting, Python, Java, and Scala.
- Expertise in the Big Data era along with Hadoop, Spark, HBase, and Kafka.
- Familiarity with NoSQL databases like HBase, Redis, and Aerospike.
- Proven revel in in distributed systems, statistics streaming, complicated event processing, and handling records integration pipelines for batch and real-time records desires.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technology (e.g., Docker, Kubernetes), with Azure revel in being a plus.
- Good understanding of system reading libraries/frameworks collectively with TensorFlow, PyTorch, and scikit-analyze.
Compensation and Benefits
PayPal is devoted to truthful and equitable compensation practices. Actual reimbursement is based upon different factors, on the facet of painting region and applicable abilities and enjoyment. The U.S. National annual pay range for this function is $ seventy-two, seven hundred to $176,000 and might encompass an annual widespread average overall performance bonus, fairness, and whole blessings.
Our balanced hybrid paintings version generally allows for 3 days within the workplace and two days of your desire for the numerous PayPal workplaces or your home workspace.
Our Commitment to Diversity and Inclusion
PayPal is a same-possibility enterprise, imparting opportunities to every person regardless of age, coloration, national foundation, citizenship recognition, disability, race, religion, gender, sexual orientation, gender identification, or another function protected using the law. We are committed to growing inclusive surroundings in which anybody feels valued and may thrive.
If you are prepared to sign up for a collection that values collaboration, innovation, and inclusivity, we inspire you to apply and be a part of our undertaking to revolutionize trade globally!
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