machine learning intern

JPMorganChase

<div>JOB DESCRIPTION 
Design and deliver market-leading technology products in a secure and scalable way as a seasoned member of an agile team
As a Software Engineer III (Machine Learning Platform Engineer) at JPMorgan Chase within the Consumer &amp; Community Banking (CCB) line of business, you serve as a seasoned member of an agile team focused on building, scaling, and maintaining robust machine learning platforms. You will design and deliver trusted, market-leading infrastructure and tools that empower data scientists and ML engineers to develop, deploy, and monitor models efficiently and securely. You are responsible for implementing critical technology solutions across multiple technical areas to support the firm&rsquo;s business objectives and drive innovation in ML platform capabilities.
Job responsibilities<ul><li>
Design, build, and maintain scalable machine learning platforms and infrastructure to support end-to-end ML workflows.</li><li>
Develop and optimize tools for model training, deployment, monitoring, and lifecycle management.</li><li>
Integrate data engineering, feature management, and model serving capabilities into unified ML platform solutions.</li><li>
Implement secure, high-quality production code for platform services, APIs, and automation pipelines.</li><li>
Collaborate with data scientists, ML engineers, and product teams to understand requirements and deliver platform features that accelerate ML development and operations.</li><li>
Ensure platform reliability, scalability, and performance through proactive monitoring, troubleshooting, and continuous improvement.</li><li>
Produce architecture and design artifacts for platform components, ensuring alignment with enterprise standards and best practices.</li><li>
Automate infrastructure provisioning, configuration, and CI/CD pipelines for ML platform services.</li><li>
Contribute to the ML platform engineering community of practice and participate in events that explore new and emerging technologies.</li></ul>
Required qualifications, capabilities, and skills<ul><li>
Formal training or certification on software engineering concepts and 3+ years applied experience</li><li>
Hands-on experience building, deploying, and maintaining machine learning platforms or infrastructure</li><li>
Proficiency in Python and one or more ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
</li><li>Experience with data processing frameworks and tools (e.g., Spark, Pandas, SQL)
</li><li>Practical experience with cloud-based ML platforms (e.g., AWS SageMaker, GCP AI Platform, Azure ML) or on-prem ML infrastructure</li><li>
Strong understanding of MLOps practices, including CI/CD for ML, model versioning, and monitoring</li><li>
Experience developing APIs and platform services for ML workflows
</li><li>Solid knowledge of the software development life cycle and agile methodologies
</li><li>Ability to collaborate with cross-functional teams to deliver platform solutions aligned with business objectives
</li></ul>Preferred qualifications, capabilities, and skills<ul><li>
Familiarity with Databricks for scalable data engineering and ML platform integration</li><li>
Experience working with Snowflake for cloud-based data warehousing and analytics</li><li>
Exposure to Snorkel AI for programmatic data labeling and training data management</li><li>
Experience with containerization and orchestration tools (e.g., Docker, Kubernetes, Airflow)</li><li>
Familiarity with feature stores, model registries, and ML metadata management</li><li>
Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation)</li><li>
Experience with RESTful APIs and microservices architectures</li></ul>
ABOUT US 
Chase is a leading financial services firm, helping nearly half of America&rsquo;s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
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.
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.
Equal Opportunity Employer/Disability/Veterans 
 
 
ABOUT THE TEAM 
<div>
Our Consumer &amp; Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We&rsquo;re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions &ndash; all while ranking first in customer satisfaction.</div><div> 
 
</div><div>The CCB Data &amp; Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.</div></div>

Software Engineer III - Machine Learning Platform

Paramount Streaming

<div>#WeAreParamount on a mission to unleash the power of content&hellip; you in? 
We&rsquo;ve got the brands, we&rsquo;ve got the stars, we&rsquo;ve got the power to achieve our mission to entertain the planet &ndash; now all we&rsquo;re missing is&hellip; YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter &ndash; both for our audiences and our employees &ndash; and aim to leave a positive mark on culture. 
Machine Learning Engineer, Presentation and Visual Optimization(45540) 
Overview: 
We are seeking a Machine Learning Engineer to join our Presentation pod. While other teams within AMLG focus on the &quot;recommender(what to show), our pod owns the &quot;visual gateway.&quot; Your mission is to implement and scale the ML systems that optimize how content is displayed to capture user attention. You will own the development of specific features and components within our artwork selection, marquee personalization, and carousel design pipelines. In this role, you will be expected to deliver autonomously on defined technical problems, ranging from bandit-based reward signals to computer vision feature extraction. You will work in a high-velocity environment where visual and attention optimization are the primary goals, requiring you to balance technical quality with delivery pace.
Why This Role Matters as an individual contributor in the presentation pod, you are the engine of execution. In this role, you will:
Own the Visual Gateway: Deliver the features that identify the first thing millions of users see when they open our apps.
Drive Systematic Quality: Improve the reliability and velocity of our experimentation systems, ensuring our visual tests are statistically sound and performant.
Scale Discovery: Build the components that allow us to personalize the &quot;look and feel&quot; of the platform, not just the content list.
Key Responsibilities:
Feature &amp; Component Ownership: Design and implement specific solutions for Multi-Armed Bandit (MAB) systems and visual feature pipelines.
Self-governing Delivery: Own the end-to-end implementation of defined tasks, from data ingestion to production deployment, with moderate autonomy. System Optimization: Proactively identify and fix bottlenecks in team systems to improve quality, reliability, or engineering velocity. Collaborative Quality: Participate actively in design and code reviews, providing constructive feedback and ensuring high technical standards within your scope. Data-Driven Execution: Set up and monitor online experiments (A/B tests and bandit rollouts) to measure the impact of presentation features on user interaction 
Basic Qualifications: 
3+ years of experience in machine learning engineering or backend software engineering.
Proven Delivery: Experience owning and delivering technical features or components autonomously.
Technical Stack: Proficiency in Python and experience with ML frameworks like PyTorch or TensorFlow.
Data Foundations: Strong skills in SQL and experience with distributed data processing (e.g., Spark or Databricks).
Engineering Rigor: Familiarity with version control, CI/CD, and writing production-grade, maintainable code. 
 
 
Additional Qualifications: 
Familiarity with Multi-Armed Bandits or Reinforcement Learning concepts. Background in Computer Vision or image processing.
Experience in a high-scale streaming or e-commerce environment. Experience with Cloud Infrastructure, including AWS, GCP, and Azure.
#LI-RJ1 
Paramount Streaming, a division within Paramount Global, is the home to the company's direct-to-consumer services spanning free and paid in the form of Pluto TV and Paramount+. Pluto TV is the global leader in free ad-supported TV, delivering more than 1,400 global channels and an extensive library of streaming content, including live and original channels. Paramount+, digital subscription video-on-demand and live streaming service, combines live sports, breaking news, and A Mountain of Entertainment&trade;. Paramount+ features an expansive library of original series, hit shows and popular movies across every genre from world-renowned brands and production studios, including SHOWTIME&reg;. 
ADDITIONAL INFORMATION 
Hiring Salary Range: $124,000.00 - 150,000.00. 
The hiring salary range for this position applies to New York, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if applicable, as otherwise dictated by the appropriate Collective Bargaining Agreement. This position is bonus eligible. 
<div>What We Offer:</div><ul><li>
Attractive compensation and comprehensive benefits packages. Check out our full list of benefits here: https://www.paramount.com/careers/benefits</li><li>
Generous paid time off.</li><li>
An exciting and fulfilling opportunity to be part of one of Paramount&rsquo;s most dynamic teams.</li><li>
Opportunities for both on-site and virtual engagement events.</li><li>
Unique opportunities to make meaningful connections and build a vibrant community, both inside and outside the workplace.</li><li>
Explore life at Paramount: https://www.paramount.com/careers/life-at-paramount</li></ul> 
Paramount is an equal opportunity employer (EOE) including disability/vet. 
At Paramount, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status. 
If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access https://www.paramount.com/careers as a result of your disability. You can request reasonable accommodations by calling 212.846.5500 or by sending an email to paramountaccommodations@paramount.com. Only messages left for this purpose will be returned.</div>

Machine Learning Engineer, Presentation and Visual Optimization

James Search Group

<div>
 
 
 AI/ML Engineer
 
 
 
 
 Location:
 
 New York, NY
 
 
 
 Compensation:
 
 $135,000 &ndash; $175,000 base + bonus + full benefits, (401(k), and more)
 
 
 
 Industry:
 
 Global P&amp;C Insurance
 
 
 
 
 
 
 About the role and the company.
 
 
 
 James Search Group is working closely with a top-tier global property &amp; casualty insurance carrier to identify an
 
 AI/ML Engineer
 
 to join their enterprise Data and Artificial Intelligence division. This team is driving innovation across the business by developing and scaling AI capabilities that unlock new value and improve decision-making across underwriting, claims, and customer engagement.
 
 
 
 
 
 As an AI/ML Engineer, you'll collaborate with senior team members to build, refine, and deploy predictive models and intelligent systems. The ideal candidate is skilled in analytics, curious by nature, and passionate about transforming complex data into practical solutions that deliver measurable business impact.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Support the development and deployment of AI/ML models&mdash;including classification, forecasting, uplift and propensity modeling, and foundational model tuning.
 </li>
 <li>
 Collaborate with cross-functional teams to identify use cases where data science can enhance operational efficiency and business performance.
 </li>
 <li>
 Partner with business, IT, and strategy teams to ensure AI models are scalable, impactful, and aligned with organizational goals.
 </li>
 <li>
 Communicate analytical findings clearly to stakeholders with varying levels of technical knowledge.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications:
 
 
 <ul>
 <li>
 Master&rsquo;s degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative discipline; Ph.D. a plus.
 </li>
 <li>
 Minimum of 2 years&rsquo; experience applying advanced analytics methods (e.g., decision trees, logistic regression, neural networks, random forests).
 </li>
 <li>
 Proficiency in R or Python for analytics and model development, including work with both structured and unstructured data.
 </li>
 <li>
 Proven ability to manage and integrate large, complex datasets and an understanding of end-to-end data modeling processes.
 </li>
 <li>
 Strong written and verbal communication skills with the ability to connect technical outputs to business strategy.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Internship or project experience in machine learning, AI engineering, or related roles&mdash;especially in insurance or financial services.
 </li>
 <li>
 Familiarity with actuarial concepts or insurance-specific data models.
 </li>
 <li>
 Enthusiastic about continued learning in AI/ML and staying current with new tools and methodologies.
 </li>
 <li>
 Comfortable in a collaborative, fast-paced, and agile working environment.
 </li>
 </ul>
 
 
 
 
 This is a unique opportunity to grow your career with a highly respected organization investing in next-generation analytics.
 
 
 
 
 
 
 Apply today
 
 to help reshape the future of insurance through data and AI innovation.
 
</div>

Machine Learning Engineer

Niural AI

<div>
 
 AI Product Operator Intern
 
 
 
 
 About Niural
 
 
 
 At Niural, we're not just building products; we're redefining how companies operate in a new era of the internet driven by AI. We're creating truly global solutions that empower businesses to thrive in the digital economy. If you're eager to join a relentlessly ambitious team, develop tools that will influence the flow of billions of dollars, and share in the asymmetric financial rewards of building foundational internet infrastructure, then come help us shape the future of finance.
 
 
 We are a global Payroll, Employer of Record (EOR), Agent of Record (AOR), and Contractor Management platform. As we scale, we are looking for an AI Operator to work alongside our Product team and build the internal tools and AI systems that eliminate manual work across the organization.
 
 
 
 The Role
 
 
 
 You are a builder. The Product Manager will identify and prioritize what needs to be automated. Your job is to take those problems and turn them into working systems, fast. You will code, architect AI workflows, deploy internal tools, and leverage AI-native development tools like Claude Code to ship at a pace that would normally require a much larger team.
 
 
 This role is for someone with a strong engineering mindset who is comfortable writing production-quality code, wiring up complex multi-step AI pipelines, and deploying tools that real teams rely on every day.
 
 
 
 What You Will Do
 
 
 
 
 Build Internal Tools
 
 
 
 <ul>
 <li>
 Develop and deploy full-stack internal applications (web apps, dashboards, admin panels) for Operations, Data Research, Accounting, Sales, and Marketing teams
 </li>
 <li>
 Use frameworks like React, Next.js, Python/FastAPI, or similar to build tools that are fast, reliable, and easy for non-technical teammates to use
 </li>
 <li>
 Own the full lifecycle: build, deploy, monitor, and iterate
 
 
 </li>
 </ul>
 
 Engineer AI Workflows &amp; Agents
 
 
 
 <ul>
 <li>
 Design and build complex, multi-step AI workflows using LLM APIs (Anthropic, OpenAI), agent frameworks (LangChain, CrewAI, n8n AI agents), and RAG pipelines
 </li>
 <li>
 Build AI systems for data extraction, document processing, classification, compliance research, payroll validation, and knowledge base Q&amp;A
 </li>
 <li>
 Implement robust prompt engineering, output validation, and error handling to ensure AI systems perform reliably at scale
 
 
 </li>
 </ul>
 
 Integrate Systems &amp; Automate Pipelines
 
 
 
 <ul>
 <li>
 Build integrations between internal systems (HRIS, payroll engines, CRMs, databases, Slack, email, spreadsheets) to eliminate manual data transfer
 </li>
 <li>
 Create data pipelines that automate reporting, reconciliation, and exception handling for the Accounting and Operations teams
 </li>
 <li>
 Automate contractor onboarding, invoice processing, payment workflows, and compliance data collection across multiple countries
 
 
 </li>
 </ul>
 
 Ship with AI-Native Development
 
 
 
 <ul>
 <li>
 Use Claude Code and other AI-assisted coding tools daily to accelerate development velocity
 </li>
 <li>
 Vibe code: move fast, prototype rapidly, validate with real users, and iterate
 </li>
 <li>
 Maintain clean, well-documented codebases so that automations and tools can be extended over time
 
 
 </li>
 </ul>
 
 Support Sales &amp; Marketing Systems
 
 
 
 <ul>
 <li>
 Build lead enrichment, CRM hygiene, and outbound personalization workflows
 </li>
 <li>
 Create content generation and repurposing pipelines for the marketing team
 </li>
 <li>
 Develop internal tools that give the Sales team faster access to prospect and market data
 
 
 </li>
 </ul>
 
 What We Are Looking For
 
 
 
 
 Must-Have
 
 
 
 <ul>
 <li>
 2+ years of software engineering experience with strong proficiency in Python and/or JavaScript/TypeScript
 </li>
 <li>
 Hands-on experience building and deploying web applications (React, Next.js, Node.js, FastAPI, or equivalent)
 </li>
 <li>
 Deep experience with AI/LLM APIs (Anthropic, OpenAI) including prompt engineering, function calling, and structured outputs
 </li>
 <li>
 Experience building multi-step AI workflows or agent-based systems
 </li>
 <li>
 Knowledge of RAG architectures, vector databases (Pinecone, Weaviate, pgvector), and document processing pipelines, with the ability to implement them when needed
 </li>
 <li>
 Comfort with databases (SQL, PostgreSQL) and API integrations (REST, webhooks)
 </li>
 <li>
 Experience deploying and maintaining applications in production (Docker, cloud platforms like AWS, GCP, or Vercel)
 </li>
 <li>
 Fluency with AI-assisted development tools (Claude Code, Cursor, GitHub Copilot)
 </li>
 <li>
 Strong bias toward shipping. You prefer a working prototype today over a perfect plan next week
 
 
 </li>
 </ul>
 
 Nice-to-Have
 
 
 
 <ul>
 <li>
 Familiarity with automation platforms (n8n, Make, Retool) for rapid prototyping
 </li>
 <li>
 Background in payroll, HR tech, EOR/AOR, fintech, or compliance operations
 </li>
 <li>
 Experience with agentic AI frameworks (LangChain, LangGraph, CrewAI)
 </li>
 <li>
 Understanding of global payroll compliance, tax regulations, or labor laws
 
 
 </li>
 </ul>
 
 How We Will Measure Success
 
 
 
 <ul>
 <li>
 30 days: Ship 2-3 working internal tools based on priorities set by the Product Manager; establish your local development and deployment workflow
 </li>
 <li>
 60 days: Have 5+ tools or automations actively used by internal teams; demonstrate measurable reduction in manual hours for at least 2 departments
 </li>
 <li>
 90 days: Own a portfolio of internal AI systems and tools that are reliable, documented, and integrated into daily operations across the company
 
 
 </li>
 </ul>
 
 Why Join Niural
 
 
 
 <ul>
 <li>
 You will build systems that directly impact how a global fintech platform operates and scales
 </li>
 <li>
 You get to work across the full stack of modern AI tooling, from LLM APIs to agent frameworks to full-stack apps
 </li>
 <li>
 You will ship constantly and see your work used by real people every day
 </li>
 <li>
 You are joining a team that values speed, ownership, and ambition over process and perfection
 
 
 </li>
 </ul>
</div>

AI Product Operator - Intern

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:
 
 Professor in STEM Domains
 
 
 
 Type:
 
 
 W2 Employment
 
 
 
 
 Compensation:
 
 
 $55&ndash;$85/hour
 
 
 
 
 Location:
 
 
 Remote
 
 
 
 
 Commitment:
 
 
 30+ hours/week
 
 
 
 
 Role Responsibilities
 
 
 
 <ul>
 <li>
 Design challenging, real-world domain-specific problems for agentic tasks. Target core capability loss failures in frontier AI models.
 </li>
 <li>
 Integrate problems into an Agentic development environment using Python. Prepare detailed instructions, a golden solution, and consult with domain experts.
 </li>
 <li>
 Evaluate cross-model performance on tasks to identify logical reasoning failures.
 </li>
 <li>
 Identify tasks where the target model fails all tests. Classify failures as logical reasoning issues.
 </li>
 <li>
 Analyze agent steps to extract core capability loss patterns from the model.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Must-Have
 
 
 
 <ul>
 <li>
 Current or retired professor within STEM, including ML, coding, data science.
 </li>
 <li>
 Degree in Computer Science, Data Science, or relevant STEM field.
 </li>
 <li>
 Ability to engage reliably for at least 30 hours/week during weekdays.
 </li>
 <li>
 Basic ability to work independently and manage time.
 </li>
 <li>
 Strong verbal and written communication skills.
 
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Past experience in AI training, model evaluation, and data annotation.
 
 
 
 </li>
 </ul>
 
 Application Process (Takes 20&ndash;30 mins to complete)
 
 
 
 <ul>
 <li>
 Upload resume
 </li>
 <li>
 AI interview based on your resume
 </li>
 <li>
 Submit form
 
 
 
 </li>
 </ul>
 
 Resources &amp; Support
 
 
 
 <ul>
 <li>
 For details about the interview process and platform information, please check: https://talent.docs.mercor.com/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>

Artificial Intelligence Researcher | Upto $85/hr Part-time

Qualcomm

<div><h2 class="jobSectionHeader">Company:
</h2>Qualcomm Technologies, Inc.
<h2 class="jobSectionHeader">Job Area:
</h2>Engineering Group, Engineering Group &gt; Machine Learning Engineering
General Summary:
As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient discovery and utilization of state-of-the-art machine learning solutions over a broad set of technology verticals or designs. Qualcomm Engineers collaborate with cross-functional teams to enhance the world of mobile, edge, auto, and IOT products through machine learning hardware and software.
Minimum Qualifications:
<ul><li>Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
</li></ul>Preferred Qualifications:
<div><div><ul><li>Master's degree in Computer Science, Engineering, Information Systems, or related field.
</li></ul><ul><li>1+ year of experience with Machine Learning frameworks (e.g., Tensor Flow, Caffe, Caffe 2, Pytorch, Keras).
</li></ul><ul><li>1+ year of experience in embedded system development and optimization with application to a specific problem domain in ML (e.g., NLP, multi-media).
</li></ul><ul><li>1 + year of experience with one or more programming language suitable for machine learning (e.g., Python, R, C, C++)
</li></ul><ul><li>1 + year of experience using statistics and probability (e.g., conditional probability, Bayes rule).
</li></ul><ul><li>1 + year of experience working in a large matrixed organization.
</li></ul><ul><li>6+ months of experience with low level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware.
</li></ul></div>Principal Duties and Responsibilities:
<ul><li>Applies Machine Learning knowledge to assist in extending training or runtime frameworks or model efficiency software tools with new features and optimizations.
</li></ul><ul><li>Assists in the modeling, architecture, and development of machine learning hardware (co-designed with machine learning software) for inference or training solutions.
</li></ul><ul><li>Assists in the development of optimized software to enable AI models deployed on hardware (e.g., machine learning kernels, compiler tools, or model efficiency tools, etc.) to allow specific hardware features; collaborates with team members for joint design and development.
</li></ul><ul><li>Assists with the development and application of machine learning techniques into products and/or AI solutions to enable customers to do the same.
</li></ul><ul><li>Develops, adapts, or prototypes machine learning algorithms, models, or frameworks in alignment with product roadmap.
</li></ul><div>Level of Responsibility:
 
<ul><li>Works under supervision.
</li></ul>&bull; Decision-making affects direct area of work and/or work group.
 
&bull; Requires verbal and written communication skills to convey basic, routine factual information.
</div>&bull; Tasks consist of a limited number of steps and can be referenced using directions or manuals.
</div><div>Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
</div>To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. 
Pay range and Other Compensation &amp; Benefits :
$122,800.00 - $184,200.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer &ndash; and you can review more details about our US benefits at this link .
If you would like more information about this role, please contact Qualcomm Careers .</div>

M/L Compiler

Fionics

<div>
 
 &rtrif;
 
 Company
 
 : Top-tier hedge fund with an MFT-focused team, offering a collaborative, research-driven environment. Emphasizes machine learning for cutting-edge strategy development.
 
 
 
 
 
 &rtrif;
 
 Overview
 
 : ML Quant Research opportunity with a collaborative PhD heavy team. Will be using ML like LLMs and Nonstationarity modeling to develop forecasting and alpha strategies for equities trading team. This is a collaborative model with 5 years+ average tenure on most of the team (not a pod shop).
 
 
 
 
 
 
 &rtrif; Key Responsibilities
 
 
 <ul>
 <li>
 Design and implement machine learning alpha research models and forecasting models for a mix of intraday and longer hold MFT equities strategies.
 </li>
 <li>
 Utilize LLMs, generative models, and nonstationarity modeling to develop effective and profitable trading signals and strategies
 </li>
 </ul>
 <li>
 </li>
 
 
 &rtrif; Qualifications
 
 
 <ul>
 <li>
 3-7 years of experience in a Quant Research
 </li>
 <li>
 Experience at a top buy side firm, or equivalent experience
 </li>
 <li>
 Practical use of ML models in production.
 </li>
 <li>
 PhD level Math/Statistics skills
 </li>
 <li>
 Collaborative and patient nature
 </li>
 </ul>
</div>

ML Quant Researcher

Explore 497+ Machine learning intern in New York this April. Find roles across top companies and apply now to boost your career.