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Sr. Machine Learning Engineer
Sr. Machine Learning Engineerhackajob • Palo Alto, CA, United States
Sr. Machine Learning Engineer

Sr. Machine Learning Engineer

hackajob • Palo Alto, CA, United States
[job_card.1_day_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

Base Pay Range

$164,350.00 / yr - $260,000.00 / yr

Job Description

We are looking for a Sr. Machine Learning Engineer on the Digital Intelligence team. The mission of the team is to leverage large‑scale computation, substantial datasets, and machine learning to enhance our most crucial customer products across a broad spectrum. We manage a wide array of impactful products and services, reaching countless customers and households. The role focuses on promoting solutions to complex relevance and ranking problems, developing scalable features, and managing ML Ops for building innovative systems that benefit our customers across all lines of business.

Job Responsibilities

  • Oversee the analysis of complex datasets to inform decisions on real‑world applications.
  • Lead the development and implementation of models and algorithms to enhance existing systems, processes, and products.
  • Supervise data analysis activities and ensure effective visualisations are provided.
  • Write and deploy software code in production systems efficiently and meeting standards.
  • Anticipate risks associated with machine learning solutions and prediction / classification systems and strategise mitigation.
  • Communicate complex issues clearly and credibly to senior management and stakeholders.
  • Foster a transparent cross‑functional work environment and influence peers and team members to uphold these standards.

Required Qualifications

  • Master’s degree in Computer Science, Machine Learning or related field with 5‑7 years of relevant experience, or Ph.D. in the same area with 3 years of experience.
  • Expertise in one or more of the following areas : machine learning, graph learning, recommendation systems, network analysis, natural language processing, reinforcement learning, MLOps, gen AI, LLMs.
  • Solid understanding of core CS concepts, including common data structures and algorithms.
  • Preferred Qualifications

  • Experience in conducting design and code reviews.
  • Proficiency in cloud environments such as AWS, GCP, or Azure.
  • Experience managing and deriving insights from large, unstructured and structured datasets.
  • About Us

    JPMorgan Chase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package reflecting the role, experience, skill set and location. Employees may receive commission‑based pay and / or discretionary incentive compensation. Benefit programmes include comprehensive health care coverage, on‑site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. We recognise that our people are our strengths and the diverse talents they bring are directly linked to our success. We are an equal‑opportunity employer, forgoing discrimination on any protected attribute and providing reasonable accommodations for religious or disability needs.

    #J-18808-Ljbffr

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