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senior software development engineer

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon&rsquo;s custom machine learning accelerators, Inferentia and Trainium. 
 
The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch and JAX enabling unparalleled ML inference and training performance. 
 
The Inference Enablement and Acceleration team is at the forefront of running a wide range of models and supporting novel architecture alongside maximizing their performance for AWS's custom ML accelerators. Working across the stack from PyTorch till the hardware-software boundary, our engineers build systematic infrastructure, innovate new methods and create high-performance kernels for ML functions, ensuring every compute unit is fine tuned for optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. 
 
As part of the broader Neuron organization, our team works across multiple technology layers - from frameworks and kernels and collaborate with compiler to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology 
 
You will architect and implement business critical features, and mentor a brilliant team of experienced engineers. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We're inventing. We're experimenting. It is a very unique learning culture. The team works closely with customers on their model enablement, providing direct support and optimization expertise to ensure their machine learning workloads achieve optimal performance on AWS ML accelerators. The team collaborates with open source ecosystems to provide seamless integration and bring peak performance at scale for customers and developers. 
 
This role is responsible for development, enablement and performance tuning of a wide variety of LLM model families, including massive scale large language models like the Llama family, DeepSeek and beyond. The Inference Enablement and Acceleration team works side by side with compiler engineers and runtime engineers to create, build and tune distributed inference solutions with Trainium and Inferentia. Experience optimizing inference performance for both latency and throughput on such large models across the stack from system level optimizations through to Pytorch or JAX is a must have. 
 
You can learn more about Neuron 
https://awsdocs-neuron.readthedocs-hosted.com/en/latest/neuron-guide/neuron-cc/index.html 
https://aws.amazon.com/machine-learning/neuron/ 
https://github.com/aws/aws-neuron-sdk 
https://www.amazon.science/how-silicon-innovation-became-the-secret-sauce-behind-awss-success 
 
Key job responsibilities 
This role will help lead the efforts in building distributed inference support for Pytorch in the Neuron SDK. This role will tune these models to ensure highest performance and maximize the efficiency of them running on the customer AWS Trainium and Inferentia silicon and servers. Strong software development using Python, System level programming and ML knowledge are both critical to this role. Our engineers collaborate across compiler, runtime, framework, and hardware teams to optimize machine learning workloads for our global customer base. Working at the intersection of software, hardware, and machine learning systems, you'll bring expertise in low-level optimization, system architecture, and ML model acceleration. In this role, you will: 
 
<ul><li>Design, develop, and optimize machine learning models and frameworks for deployment on custom ML hardware accelerators.</li><li>Participate in all stages of the ML system development lifecycle including distributed computing based architecture design, implementation, performance profiling, hardware-specific optimizations, testing and production deployment.</li><li>Build infrastructure to systematically analyze and onboard multiple models with diverse architecture.</li><li>Design and implement high-performance kernels and features for ML operations, leveraging the Neuron architecture and programming models</li><li>Analyze and optimize system-level performance across multiple generations of Neuron hardware</li><li>Conduct detailed performance analysis using profiling tools to identify and resolve bottlenecks</li><li>Implement optimizations such as fusion, sharding, tiling, and scheduling</li><li>Conduct comprehensive testing, including unit and end-to-end model testing with continuous deployment and releases through pipelines.</li><li>Work directly with customers to enable and optimize their ML models on AWS accelerators</li><li>Collaborate across teams to develop innovative optimization techniques</li></ul> 
A day in the life 
You will collaborate with a cross-functional team of applied scientists, system engineers, and product managers to deliver state-of-the-art inference capabilities for Generative AI applications. Your work will involve debugging performance issues, optimizing memory usage, and shaping the future of Neuron's inference stack across Amazon and the Open Source Community. As you design and code solutions to help our team drive efficiencies in software architecture, you&rsquo;ll create metrics, implement automation and other improvements, and resolve the root cause of software defects. 
 
You will also build high-impact solutions to deliver to our large customer base and participate in design discussions, code review, and communicate with internal and external stakeholders. You will work cross-functionally to help drive business decisions with your technical input. You will work in a startup-like development environment, where you&rsquo;re always working on the most important initiative. 
 
About the team 
The Inference Enablement and Acceleration team fosters a builder&rsquo;s culture where experimentation is encouraged, and impact is measurable. We emphasize collaboration, technical ownership, and continuous learning. Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we&rsquo;re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Join us to solve some of the most interesting and impactful infrastructure challenges in AI/ML today.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>5+ years of non-internship professional software development experience</li><li>Bachelor's degree in computer science or equivalent</li><li>5+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Fundamentals of Machine learning and LLMs, their architecture, training and inference lifecycles along with work experience on optimizations for improving the model execution.</li><li>Software development experience in C++, Python (experience in at least one language is required).</li><li>Strong understanding of system performance, memory management, and parallel computing principles.</li><li>Proficiency in debugging, profiling, and implementing best software engineering practices in large-scale systems.</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Familiarity with PyTorch, JIT compilation, and AOT tracing.</li><li>Familiarity with CUDA kernels or equivalent ML or low-level kernels.</li><li>Candidates with performant kernel development such as CUTLASS, FlashInfer etc., would be well suited.</li><li>Familiar with syntax and tile-level semantics similar to Triton.</li><li>Experience with online/offline inference serving with vLLM, SGLang, TensorRT or similar platforms in production environments.</li><li>Deep understanding of computer architecture, operation systems level software and working knowledge of parallel computing.</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, NY, New York - 184,900.00 - 250,200.00 USD annually 
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually</div>

Senior Software Development Engineer - AI/ML, AWS Neuron, Multimodal Inference

MERCOR

<div>About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Software Engineer 
Type: Freelance 
Compensation: $70&ndash;$120/hour 
Duration: 1&ndash;2 months 
Commitment: 15&ndash;25 hours/week, with flexibility up to 40 hours/week
Role Responsibilities<ul><li>
Craft realistic developer prompts across multiple categories, such as code review, debugging, and error diagnosis.</li><li>
Source and adapt content from real PRs to create authentic scenarios.</li><li>
Write clear, technically accurate model responses demonstrating strong reasoning and explanation quality.</li><li>
Collaborate with AI labs to enhance evaluation datasets for AI reasoning and technical judgment.</li><li>
Work independently and asynchronously to meet deadlines while improving AI model performance.</li></ul>
Qualifications
Must-Have<ul><li>
2+ years of experience in software engineering, technical research, or educational content development.</li><li>
Bachelor&rsquo;s degree in Software Engineering, Computer Science, or a related field.</li><li>
Strong proficiency in languages like Python, JavaScript, Java, or C++.</li><li>
Experience with debugging, testing, and validating code.</li><li>
Comfortable with technical writing and attention to detail.</li></ul>
Preferred<ul><li>
Advanced degree in Software Engineering or related field.</li></ul>
Start Date<ul><li>
Immediate</li></ul>
Application Process (Takes 20&ndash;30 mins to complete)<ul><li>
Upload resume</li><li>
AI interview: A short, 15-minute conversational session to understand your background, experience, and interest in the role</li><li>
Follow-up communication within a few days with next steps and onboarding details</li></ul>
Resources &amp; Support<ul><li>
For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome</li><li>
For any help or support, reach out to: support@mercor.com</li></ul>
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.</div>

Sr. Software Development Engineer $120/hr

Sr. Software Engineer

Chicago Trading Company

<div><div>CTC is a cutting-edge proprietary trading firm with a long-term vision and a clear focus on helping the world price and manage risk. Our fun and trusting culture inspires us to solve the industry&rsquo;s most challenging problems and take calculated risks in a collaborative environment.

We strive to be the most innovative firm in the industry today, tomorrow, and long into the future while upholding ethical excellence. We believe that CTC makes a positive impact on the markets, the lives of our employees, and all the communities to which we belong. Started in 1995 by a team of forward-thinking Traders, we are proud to call ourselves an industry leader that keeps making markets and each other better.</div> 


As a Senior Engineer on the Market Data team, you will play a pivotal role in ensuring reliable and fast delivery of the market data that is foundational to our trading systems. You will build high-performance libraries and services that process vast amounts of real-time data from financial venues across the world&mdash;data that all of our trading systems depend on to make critical decisions in the timeframe of microseconds to nanoseconds. Your work will be foundational to every trading strategy we run, and your contributions will be essential to maintaining CTC's competitive edge in this fast-paced trading environment.

WHAT YOU'LL DO
<ul>
<li>Design and build high-performance, low-latency libraries and services that power our global trading platform</li>
<li>Work closely with traders, quants and technologists to drive ideas from inception to production in a timely and robust manner.</li>
<li>Partner closely with other teams such as execution, low-latency and hardware to design and deliver solutions for our next-generation market data platform</li>
<li>Ensure operational safety and uphold the highest standards of software engineering by thoroughly testing code, following a coherent and maintainable design and architecture, and adhering to best practices&mdash;prioritizing carefully planned, well-structured solutions over ad hoc implementations.</li>
</ul>
WHAT WE'RE LOOKING FOR
<ul>
<li>A minimum of 5 years of experience working in a production environment using modern C++</li>
<li>Experience with low-latency feed handler development, market data protocols (e.g. MDP3, ITCH)</li>
<li>Deep knowledge of low level systems programming, optimization, and hardware/software co-design</li>
<li>Strong fundamentals in computer architecture and networking protocols</li>
<li>Experience writing multithreaded and distributed systems with an affinity for delivering clean, performant code</li>
<li>Ability to quickly triage issues and drive the resolution effort through completion</li>
<li>Experience working at a high frequency trading firm is preferred</li></ul><div><div><div> 
Compensation

The salary range for this role is listed below. This role is also eligible for an annual discretionary bonus. The discretionary bonus will be dependent upon the individual&rsquo;s skills, experience, qualifications, and firm performance.</div><div>
Salary Range</div><div>
$225,000&mdash;$250,000 USD</div></div></div><div>
Most teams at CTC, with the exception of Trading, follow a hybrid workplace model, subject to change based on business need.

Our Benefits

We strongly believe in the well-being of our employees and their families so we offer outstanding benefits to support you both professionally and personally. These benefits include generous time off, insurance coverage, paid parental leave, free breakfast and lunch (plus healthy snacks, of course), wellness reimbursement, and a variety of other benefits focused on providing the best employee experience.

(Disclaimer: interns and contractors are not eligible for benefits at CTC)

Our Commitment to Diversity, Equity and Inclusion

At CTC, we aim to cultivate a workplace that celebrates diversity and each person feels included, engaged and empowered. Where each of us feels we belong. We are committed to having a diverse workforce and are proud to be an equal opportunity employer. CTC does not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment.

If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or to apply for a position, please contact us at info@chicagotrading.com. Note that emails sent to this email account for non-disability related issues, such as following up on an application, will not receive a response.

Use of Artificial Intelligence (AI)

Information submitted by job applicants may be subject to review and analysis by automated systems, including Artificial Intelligence (AI), as part of the recruitment process. Such systems are utilized to enhance the efficiency and effectiveness of our hiring procedures. Applicants are advised that any information provided may be evaluated by AI tools to ensure an equitable and thorough assessment.</div></div>

C++ Senior Engineer - Market Data

JPMorganChase

<div>JOB DESCRIPTION 
Elevate and drive innovation, data engineering solutions, and serve as a decision maker for Firmwide HR and Employee Experience data products.
As a Senior Lead Software Engineering at JPMorgan Chase within the Employee Platforms, Workforce Experience Technology (WxT) Data and Integrations team, you lead data engineering and drive impact within teams, technologies, and data product offerings across HR, Employee Experience, CAO and EP technology. Utilize your in-depth engineering knowledge, coding and impact for data, analytics, applications, technical processes, and product management to lead multiple complex designs and initiatives making key decisions for your team, and a drive innovation and solution delivery.
Job responsibilities<ul><li>
Provide hands on delivery of data pipeline and architecture solutions that can be leveraged across multiple businesses that are easily augmented, exchanged, rotated, etc.
</li><li>Be proficient in all aspects of the data production pipeline are driven by x-as-Code (extraction, transformation, reconciliation, data quality (business, technical), security).
</li><li>Bring trends in both test-driven and data-driven development building modular designs that can be auto-repeatable as frameworks to build a data production factory, minimizing ad hoc data generation.</li><li>
Transform traditional HR/EX into modern data product offerings that scales for business needs.</li><li>
Perform as a key member of data engineering scrum teams to achieve functional technology objectives. while influencing peer leaders and senior stakeholders across the business, product, and data technology teams.</li><li>
Partner with Product and Architecture to make strategic decisions that influence teams&rsquo; resources, budget, tactical operations, and the implementation of processes and procedures.</li><li>
Be accountable for SDLC, design patterns and upskilling engineers
</li><li>Uplift and modernize data platforms driving Stability, Timeliness, Completeness, Quality (TDQ/BDQ), Security, FinOps, Operational Excellence and Ease of consumption.</li><li>
Carry governance accountability for coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations.</li><li>
Advance and support the firm&rsquo;s culture of diversity, opportunity, inclusion, and respect</li></ul>
Required qualifications, capabilities, and skills.<ul><li>
Formal training or certification on software engineering concepts and 5+ years applied experience anticipate and solve complex technical items within your domain of expertise.</li><li>
Hands-on Data Engineering development, coding, AI-code tools and techniques, testing, automation</li><li>
Key Technical Skills: Databricks, DBX, PySpark, Spark, Terraform, Kafka, Python/Scala, Glue/EMR</li><li>
Experience with AI Developer Automation Tools and the use of BI Consumption tools such as: Sigma, Genie, Tableau</li><li>
Experience with Governance using Unity Catalogue and Data Access Governance with Immuta</li><li>
Experience in working in cross-functional teams of technologists.</li><li>
Experience dealing with internet scale volume and size of data.</li><li>
Experience in Big Data technologies handling complex data processing requirements.</li><li>
Experience building data pipelines and platforms in cloud (AWS S3, Databricks, GCP, Azure)</li></ul>
Preferred qualifications, capabilities, and skills<ul><li>
Prior Financial Services experience is preferred.</li></ul>
ABOUT US 
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;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.
</div><div>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits 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. Additional details about total compensation and benefits will be provided during the hiring process.
<div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM 
 
Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You&rsquo;ll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.</div>

Senior Lead Software Engineer - Data Software Engineering | Workforce and Experience Technology (WXT)

Capital One

<div>Sr. Lead, Machine Learning Engineer (Enterprise Platforms Technology)<div><div><div><div><div><div><div><div><div>
As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You&rsquo;ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You&rsquo;ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering.
Enterprise Platforms Technology (EPTech) comprises many of Capital One&rsquo;s most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices.
What you&rsquo;ll do in the role:<ul><li>
The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:</li><li>
Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams.</li><li>
Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation).</li><li>
Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.</li><li>
Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications.</li><li>
Retrain, maintain, and monitor models in production.</li><li>
Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.</li><li>
Construct optimized data pipelines to feed ML models.</li><li>
Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.</li><li>
Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI.</li><li>
Use programming languages like Python, Scala, or Java.</li></ul>
Basic Qualifications:<ul><li>
Bachelor&rsquo;s degree</li><li>
At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)</li><li>
At least 4 years of experience programming with Python, Scala, or Java</li><li>
At least 3 years of experience building, scaling, and optimizing ML systems</li><li>
At least 2 years of experience leading teams developing ML solutions</li></ul>
Preferred Qualifications:<ul><li>
Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field</li><li>
Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform</li><li>
4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow</li><li>
3+ years of experience developing performant, resilient, and maintainable code</li><li>
3+ years of experience with data gathering and preparation for ML models</li><li>
3+ years of people management experience</li><li>
ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents</li><li>
3+ years of experience building production-ready data pipelines that feed ML models</li><li>
Ability to communicate complex technical concepts clearly to a variety of audiences</li></ul>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
</div></div></div></div></div></div></div></div></div>The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer 

New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</div>

Sr. Lead, Machine Learning Engineer (Enterprise Platforms Technology)

Morgan Stanley

<div>We're seeking a passionate technologist to join our Investment Banking &amp; Global Capital Markets Technology team as a Director UI Developer in the Advisory Sales &amp; Distribution Super Department to build innovation solutions to support the complex and evolving needs of our businesses in Institutional Securities Group.
 
 
In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Software Engineering III position at the Associate level, which is part of the job family responsible for developing and maintaining software solutions that support business needs.
 
 
Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals.
 
 
Interested in joining a team that's eager to create, innovate and make an impact on the world? Read on.
 
 
What you'll do in the role:
<ul><li>Participate in the design, development, and testing of software applications.
</li><li>Contribute to the function through a range of operational activities and project tasks, developing an understanding of the business and operating environment.
</li><li>Collaborate with team members to understand requirements and deliver on software projects.
</li><li>Assist in troubleshooting and debugging software issues.
</li><li>Learn and apply best practices in software development methodologies.
</li><li>Contribute to code reviews and provide constructive feedback.
</li><li>Document technical specifications and system configurations.
</li><li>Contribute to continuous improvement initiatives within the software engineering team.
</li></ul>What you'll bring to the role:
Engage in training and upskilling activities to enhance technical skills Skills Required:
<ul><li>Strong Web front-end developer (4+ years) with substantial HTML5/Angular experience
</li><li>Strong knowledge of JavaScript, HTML, CSS, and Responsive designs
</li><li>Experience with common libraries (jQuery and Angular/Ember/React) and debugging tools (Chrome Dev Tools, etc.).
</li><li>Knowledge of native DOM and Event APIs
</li><li>Good understanding of web performance and how browsers and DOM work
</li><li>Solid experience with unit testing of frontend components
</li><li>Experience with automated build pipelines, testing frameworks and other aspects of developing in large, distributed software teams.
</li><li>Knowledge of (and a passion for) current trends and best practices in front-end architecture, including performance, accessibility, security, and usability.
</li><li>Experience with review-centric development model, focus on frequent reviews &amp; code quality- Excellent analytical &amp; communication skills
</li><li>Independent, ability to take initiative without requiring direct guidance
</li><li>Experience of iterative / agile development practices. 
</li></ul> 
Nice to have:
<ul><li>Experience with BDD testing and tools
</li><li>Experience with distributed systems architecture concepts such as micro services and micro frontends
</li><li>Experience with software development and collaboration tools (GitHub, Jira/Rally, Confluence, etc.)
</li><li>Experience in using Git for source control management, and Automated Build Deployment tools (eg: Jenkins)
</li><li>Significant open source or other community contributions
</li></ul>WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
At Morgan Stanley, we raise, manage and allocate capital for our clients &ndash; helping them reach their goals. We do it in a way that&rsquo;s differentiated &ndash; and we&rsquo;ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren&rsquo;t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you&rsquo;ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There&rsquo;s also ample opportunity to move about the business for those who show passion and grit in their work.
To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
Expected base pay rates for the role will be between $120,000 and $165,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.
Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees.
It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.
Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).</div>

Senior Software Engineer

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