Jobs / Pay***
Sr Machine Learning Engineer
Pay*** · San Jose, CA, United States
Visa sponsorship details are locked. Unlock company name and apply link with .
San Jose, CA, United States159,500-236,500 USD/yearlyHybrid
Remuneration
159,500-236,500 USD/yearly
Location
San Jose, CA, United States
Visa sponsorship
Sponsors visa
Job summary
The Company Pay*** has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, Pay*** empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.
Benefits
We live each day guided by our core values of Inclusion, Innovation, CollaboratiAnd conveniences of both locations.At PayPal, we’re committed to building an equitable and inclusive global economyAnd we can’t do this without our most important asset-you.We strive to create a flexible, balanced work culture with a holistic approach tWho We Are:Commitment to Diversity and InclusionIn addition, PayPal will provide reasonable accommodations for qualified individBelonging at PayPal:Belonging at PayPal means creating a workplace with a sense of acceptance and seAny general requests for consideration of your
Qualifications
- Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences.
- 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
- Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
- Familiarity with cloud platforms (AWS, Azure, GCP) and
- PhD in Computer Science, AI/ML, NLP, or a related field — with research in one or more of: LLM agents, multi-agent systems, tool-use, reasoning, planning, dialogue systems, or reinforcement learning
- Strong engineering
Responsibilities
- You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions.
- Develop and optimize machine learning models for various applications.
- Preprocess and analyze large datasets to extract meaningful insights.
- Deploy ML solutions into production environments using appropriate
- Preferred
Skills
Communication
Degrees
AssociateDegreePhD
Work schedule
On-call
Travel
Travel
Industry
BankingEducationEnergyHealthcareMediaPublic-sector
Contract length
25 years