Full-Time
Lead Software Engineer
Machine Learning
Posted on 9/10/2026
JP Morgan Chase
10,001+ employees
Global financial services with diversified offerings
Compensation Overview
$156.8k - $215k/yr
Palo Alto, CA, USA + 1 more
More locations: Seattle, WA, USA
In Person
 AI & Machine Learning (1) |
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- Formal training or certification on software engineering concepts and 5+ years of applied experience.
- Experience running machine learning training in cloud environments and debugging issues across infrastructure and code.
- Strong Python skills with engineering practices including testing, code reviews, modular design, and dependency management.
- Experience building automation and continuous integration for machine learning codebases, including build, test, release, and deployment or promotion workflows.
- Hands-on experience with deep learning training workflows and at least one major framework such as PyTorch or TensorFlow.
- Understanding of training performance and stability, including data-loading bottlenecks, mixed precision, checkpointing, reproducibility, and evaluation methodology.
- Experience with distributed training and related concepts such as distributed data parallel, fully sharded data parallel, DeepSpeed, collective communication, scaling, and bottleneck analysis.
- Ability to profile and optimize training systems across CPU and GPU utilization, memory, input/output throughput, networking, and scheduling.
- Experience with Kubernetes fundamentals for compute-intensive workloads and Amazon Web Services services including Elastic Kubernetes Service, Elastic Container Registry, Simple Storage Service, Identity and Access Management, Virtual Private Cloud networking, CloudWatch, and Elastic Compute Cloud.
- Experience leading effective use of approved artificial-intelligence-assisted software development tools for coding, code review, test acceleration, and troubleshooting, including setting expectations for validating outputs for correctness, performance, and security.
- Strong understanding of responsible artificial intelligence use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and resiliency and security expectations.
- Experience coaching engineers on safe and compliant adoption of artificial-intelligence-assisted development practices.
- Design, build, and maintain an end-to-end machine learning training platform.
- Run and optimize single-node and distributed GPU training workloads to improve throughput, utilization, and reproducibility.
- Build and operate training infrastructure on Kubernetes, including resource management and workload troubleshooting.
- Enable generative artificial intelligence and large language model training and fine-tuning workflows, including supervised fine-tuning, evaluation harnesses, artifact and version governance, and scalable GPU execution patterns aligned with enterprise controls.
- Implement observability for training systems, including metrics, logs, dashboards, alerting, and operational runbooks.
- Partner with data engineering and platform teams to define interfaces, standards, and guardrails for security, access, and cost controls.
- Improve the developer experience for training through standardized containers, continuous integration and continuous delivery, templates, documentation, and self-service workflows.
- Drive team adoption of enterprise-authorized artificial-intelligence-assisted engineering practices to improve code quality, delivery speed, and operational outcomes while establishing validation standards for secure coding, peer review, and automated testing.
- Apply software development life-cycle toolchain knowledge, including enterprise-authorized artificial-intelligence-assisted development and automation capabilities, to improve automation outcomes.
- Experience running training workloads across multiple cloud platforms and managing portability, performance, and governance across environments.
- Familiarity with cloud-native networking and storage patterns for high-throughput training and artifact management.
- Experience optimizing training input pipelines through sharding, prefetching, caching, and format choices such as Parquet and WebDataset, and working with large datasets.
- Familiarity with distributed compute frameworks such as Spark, Ray, and Dask for feature and dataset generation.
- Familiarity with workflow orchestration tools such as Airflow-like systems and Argo Workflows-like patterns, and with model registry concepts.
- Experience optimizing training cost and performance through right-sizing, scheduling policies, interruptible capacity strategies where applicable, budget guardrails, and quota planning.
- Strong observability practices for training systems, including metrics, logs, traces, GPU telemetry, dashboards, and alert tuning.
A global financial services firm offering investment banking, asset management, private equity, financial services, and consumer banking to individuals and institutions. It works by providing advisory, lending, trading, and financing services through a worldwide network, earning revenue from interest, fees, and trading commissions, and using its data and the JPMorgan Chase Institute to analyze economies. It stands apart from peers due to its size, full-range services across consumer and corporate markets, extensive market access, and in-house data-driven insights. Its goal is to deliver comprehensive financial products with integrity and growth while supporting clients and communities through data-backed analysis and targeted programs.
Company Size
10,001+
Company Stage
IPO
Headquarters
New York City, New York
Founded
1959
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Simplify's Take
What believers are saying
- 2Q26 net income reached $21.2 billion, boosting hiring confidence and promotion budgets.
- Canadian revenue nearly doubled as JPMorgan hired 18 executives and expanded trading.
- Southwest's 2026 Chase lounge partnership deepens card-fee monetization and loyalty lock-in.
What critics are saying
- SEBI barred Copthall Mauritius on August 20, 2026, exposing JPMorgan's market-conduct controls.
- Cash sweep plaintiffs seek class certification after a February 2026 judge ruling.
- Jersey City and Plano layoffs in 2026 show automation pressure hitting operations teams.
What makes JP Morgan Chase unique
- Jamie Dimon's bank spans consumer, markets, and wealth across 100-plus countries.
- 2Q26 revenue hit $58.0 billion, with every major business posting record results.
- JPMorgan dominates payments, trading, and investment banking with unmatched balance-sheet scale.
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Benefits
Health Insurance
Flexible Work Hours
Paid Sick Leave
Paid Holidays
Growth & Insights and Company News
6 month growth
↓ -5%1 year growth
↓ -5%2 year growth
↓ -5%JPMorgan Chase has appointed former CPPIB trading executive Chris Finora to lead Canadian Cash Equities Trading as part of an aggressive expansion in Canada. The bank has hired 18 executives and managing directors over the past year, increasing its director ranks by 20%. JPMorgan's Canadian workforce has grown roughly 50% in five years, whilst revenue has almost doubled through client wins and market share gains. The expansion aims to capture opportunities from Canada's target of attracting $1 trillion in investment over five years. The stock fell approximately 0.6% on Tuesday amid weakness in financial shares. The bank generated $24.9 billion in Banking and Markets revenue in the second quarter alone.
JPMorgan analyst Matthew Boss cut his price target on Lululemon by 38% to $95 from $154, maintaining a "Neutral" rating. The adjustment followed the athletic apparel maker's disappointing fiscal Q2 2027 results, which missed revenue expectations. Lululemon's second-quarter revenue fell 4% to $2.4 billion, with comparable sales down 10%. North America comparable sales sank 12%, whilst China comparable sales dropped 8% year over year. The company's third-quarter earnings outlook sits approximately 60% below Wall Street consensus. Full-year revenue guidance now stands at $10.35 billion to $10.5 billion, down 5-7% from last year. Full-year earnings per share guidance dropped to $9.48 to $9.73, compared to $13.26 previously. Lululemon stock has fallen almost 80% from all-time highs, whilst the S&P 500 trades near record levels.
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Anthropic, the developer behind Claude AI chatbot, has secured a $15 billion credit facility ahead of its initial public offering. Major financial institutions including Morgan Stanley, Goldman Sachs, JPMorgan Chase, and Citigroup are backing the arrangement. The facility significantly exceeds last year's $2.5 billion loan and surpasses the company's roughly $10 billion target. Anthropic now expects over $65 billion in annualised revenue, representing more than a sevenfold increase from its pace at the end of last year. Additional banks including Barclays and Bank of America have joined the arrangement. The timing coincides with renewed activity in the US IPO market, positioning Anthropic for a substantial market debut.
New York Gaming Facility Location Board updates: recent changes and future casino licenses. September 3, 2026/in Blog/by admin New York Gaming Facility Location Board: recent changes and future of casino licenses. The New York Gaming Facility Location Board (GFLB), a crucial body responsible for determining the locations of casinos in downstate New York, is currently undergoing a period of change. The board, composed of five members, plays a pivotal role in shaping the future of gaming in the state. This article explores recent member changes, the board's responsibilities, and the upcoming decisions regarding the allocation of three valuable casino licenses. Recent Appointments to the GFLB. The board recently welcomed Terryl Brown, the vice president and general counsel at Pace University. Her appointment was unanimously approved by the New York State Gaming Commission, following the abrupt resignation of former Ponce Bank CEO Carlos Naudon in February 2024. Ms. Brown brings a wealth of experience from her previous role as deputy commissioner of legal affairs for the New York City Fire Department. As a member of the GFLB, alongside Chair Vicki Been and board members Marion Phillips, III, Stuart Rabinowitz, and Greg Reimers, she will be instrumental in evaluating proposals for the three casino licenses slated for New York's downstate region. This isn't an isolated incident. Quenia Abreu, president of the New York Women's Chamber of Commerce, also resigned from the GFLB in November 2024. Her departure was quickly followed by the appointment of Marion Phillips III, an executive at U.S. News & World Report, to fill the vacancy. Additionally, Greg Reimers, a former executive at JPMorgan Chase, took over a seat that had been vacant since 2023. The significance of the GFLB's role. The decisions made by the New York Gaming Facility Location Board have far-reaching implications for the state's economy and communities. Each of the three casino licenses carries a significant $500 million fee, representing a substantial investment in the state. The board's responsibility extends beyond mere location selection; they must carefully consider factors such as economic impact, community benefits, and responsible gaming initiatives. Key Responsibilities of the GFLB. * Site Selection: Determining the optimal locations for the three casinos within New York's downstate region. * Economic Impact Assessment: Evaluating the potential economic benefits, including job creation and tax revenue generation. * Community Benefits: Ensuring that casino developments provide tangible benefits to the surrounding communities. * Responsible Gaming: Establishing guidelines and regulations to promote responsible gambling practices. Eligibility criteria for GFLB members. To ensure impartiality and expertise, GFLB members must meet specific criteria. They must be residents of New York with at least 10 years of experience in fields such as accounting, finance, economics, commercial real estate, or in an executive capacity within a large organization. Crucially, board members are prohibited from having close relationships with individuals in the gaming industry or holding financial interests in gaming companies or their affiliates. This stringent requirement aims to maintain public trust and integrity throughout the licensing process. Timeline for license allocation. The GFLB is anticipated to commence reviewing applications for the three casino concessions in the near future. A decision regarding the allocation of these licenses is expected before December 1, 2025. This timeline underscores the importance of the board's ongoing work and the anticipation surrounding this significant development for New York. The composition of the GFLB has evolved since its inception in 2014, with previous members including prominent figures like Paul Francis, Dennis Glazier, Kevin Law, and William Thompson. The current changes reflect the dynamic nature of the board's responsibilities and the ongoing process of selecting locations for these major gaming ventures. Conclusion. The New York Gaming Facility Location Board remains a vital institution in shaping the future of gaming in the state. Recent member changes highlight the ongoing work required to oversee the allocation of the three casino licenses, each representing a significant economic investment for New York. The board's commitment to expertise, impartiality, and responsible decision-making will be crucial as they move forward with the application review process, aiming for a decision before the end of 2025. Featured Image Keyword: New York casino landscape