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applied ai ml vice president

JPMorganChase

<div>JOB DESCRIPTION 
 
 
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'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. In this role, you'll apply strong technical judgment to choose the right approaches (including modern LLM-based methods where appropriate), evaluate performance with rigorous metrics, and ensure solutions are reliable, secure, and scalable in real-world environments. You'll also contribute to improving data quality and feedback loops, monitoring models in production, and continuously iterating to reduce agent effort, shorten resolution times, and increase consistency and quality across operational workflows.
As an Applied AI/ML Vice President in our AI for Operations organization, you will help design, build, and scale cutting-edge Natural Language Processing (NLP) solutions that improve experiences for both customers and internal agents supporting the bank's day-to-day operations. You'll work hands-on across the end-to-end model lifecycle&mdash;partnering with product, engineering, operations, and risk stakeholders to translate real operational needs into production-grade language capabilities such as intelligent search, summarization, classification, and next-best-action recommendations.
Job Responsibilities:
<ul><li>Oversee the analysis of complex datasets to inform decisions on real-world applications.</li><li>Lead the development and implementation of models and algorithms to enhance existing systems, processes, and products.
</li><li>Supervise data analysis activities and ensure effective visualizations are provided.</li><li>Ensure the writing and deployment of software code in production systems is efficient and meets standards.</li><li>Anticipate risks associated with machine learning solutions and prediction/classification systems and strategize mitigation.
</li><li>Communicate complex issues clearly and credibly to senior management and stakeholders.
</li><li>Foster a transparent cross-functional work environment and influence peers and team members to uphold these standards.</li></ul>
<div>Required qualifications, capabilities and skills: 
<ul><li>Master's degree in computer Science, Machine Learning, or a related field with 4+ years experience OR Ph.D in computer Science, Machine Learning, or a related field with 2+ year of experience.
</li><li>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.
</li><li>Solid understanding of core CS concepts, including common data structures and algorithms.</li></ul></div>
<div>Preferred qualifications, capabilities and skills: 
<ul><li>Experienced in conducting design and code reviews.</li><li>Proficient in cloud environments such as AWS, GCP, or Azure.</li><li>Experienced in managing and deriving insights from large, both unstructured and structured datasets.</li></ul></div> 
 
&ldquo;This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase's review of criminal conviction history, including pretrial diversions or program entries.&rdquo;
ABOUT US 
 
 
Chase is a leading financial services firm, helping nearly half of America'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' and employees' 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
 
 
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'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>

Applied AI ML-Vice President

New York Genome Center

<div>The Vice President, Genome Technologies is responsible for providing scientific, strategic and operational leadership for the New York Genome Center&rsquo;s genome technology enterprise, encompassing high-throughput research sequencing, single-cell and spatial genomics, emerging multiomic technologies, laboratory automation, and technology innovation. This person will lead NYGC&rsquo;s genome technology strategy and operations, integrating cutting‑edge innovation with large‑scale, high‑throughput execution to enable transformative, collaborative science. 


The Vice President will develop and execute a long-term technology strategy that positions NYGC at the forefront of genome science while ensuring operational excellence in support of large-scale collaborative research, institutional initiatives, and externally funded programs. As a recognized scientific leader, the Vice President will contribute intellectually to the Center's research direction, foster strategic partnerships, and lead the development of innovative genomic technologies and research programs.

Working closely with the Scientific Director &amp; CEO and other executive leaders, the Vice President will shape NYGC's scientific priorities, expand its national research portfolio, cultivate collaborations with academic, clinical, government, and industry partners, and help establish NYGC as a global leader in genome technologies and AI-enabled genomic research.

This position serves as a member of the Executive Management Team and oversees the Center's Genome Technologies organization, including research sequencing, technology development, project management, laboratory operations, and associated scientific support functions.

Responsibilities include:
<h4 class="jobSectionHeader">
Scientific Strategy, Leadership, and External Engagement</h4>
<ul>
<li>Provides scientific leadership and technical expertise to shape major institutional initiatives, partnerships, and collaborative research programs;
</li>
<li>Serves as a scientific thought partner in defining NYGC&rsquo;s research direction, including emerging opportunities in genomics, sequencing technologies, and large-scale data generation;
</li>
<li>Builds and sustains multi-institutional collaborations with academia, healthcare systems, nonprofit organizations, and industry;
</li>
<li>Plays a central role in developing and leading NIH and other grant applications, serving as Principal Investigator (PI) or Co-PI on major proposals;
</li>
<li>Represents the Center externally as a scientific leader to the genomics community, including NIH, other funding agencies, and key partners;
</li>
<li>Contributes to the development of consortia, partnerships, and collaborative research programs that expand NYGC&rsquo;s scientific and funding footprint;
</li>
<li>Advances a strategy focused on collaborative science and funded research, complementing service-based sequencing activities.
</li>
<li>Develops a multi-year technology roadmap that anticipates emerging scientific opportunities and positions NYGC as a leader in genome technologies.
</li>
<li>Identifies, evaluates, and implements transformative technologies spanning sequencing, single-cell, spatial, long-read, genome engineering, multiomic, and future genomic platforms.
</li>
<li>Establishes strategic partnerships with biotechnology companies to provide NYGC investigators and collaborators with early access to emerging technologies.
</li>
<li>Partners closely with computational scientists and AI researchers to develop datasets and technology platforms that accelerate AI-enabled genome interpretation and biological discovery.
</li>
<li>Partners closely with NYGC faculty to align technology development with investigator‑initiated science and institutional priorities, ensuring strong integration between platform capabilities and internal research programs
</li>
<li>Promotes high-impact collaborative publications that showcase NYGC's scientific and technological leadership.
</li>
</ul><h4 class="jobSectionHeader">Research Operations Strategy and Execution</h4>
<ul>
<li>Provides scientific and operational leadership for NYGC's genome technology platforms, ensuring they remain at the forefront of scientific innovation and support the Center's evolving research priorities.
</li>
<li>Oversees technology evaluation, validation, implementation, and lifecycle management across all research platforms.
</li>
<li>Ensures technology platforms are scalable, reproducible, cost-effective, and capable of supporting large collaborative projects.
</li>
<li>Works closely with NYGC faculty to translate emerging biological questions into innovative technology solutions.
</li>
<li>Leads development of programs involving our Institutional Founding Members (IFMs), hospitals, and research collaborators.
</li>
</ul><h4 class="jobSectionHeader">Operational Oversight</h4>
<ul>
<li>Develops annual operating and capital budgets for Genome Technologies.
</li>
<li>Oversees strategic investments in instrumentation, automation, laboratory infrastructure, and technology platforms.
</li>
<li>Establishes operational metrics and quality indicators to ensure scientific excellence, efficiency, and customer satisfaction.
</li>
<li>Accountable for execution of sequencing operations in support of scientifically driven projects and grants;
</li>
<li>Oversees prioritization and delivery of research projects, ensuring alignment with grant commitments and scientific objectives;
</li>
<li>Drives improvements in efficiency, scalability, and quality of sequencing operations;
</li>
<li>Oversees adoption and implementation of new sequencing technologies and methodologies;
</li>
<li>Provides deep expertise in next-generation sequencing (NGS) and related technologies;
</li>
<li>Optimizes laboratory capacity, resource allocation, and operational workflows to maximize efficiency, meet project timelines, and support institutional research priorities;
</li>
<li>Partners with Finance to develop and maintain sustainable pricing and cost-recovery models for genomics services;
</li>
<li>Monitors external market trends, competitive genomics capabilities, and emerging technologies to inform strategic planning and maintain operational excellence;
</li>
<li>Negotiates strategic agreements with technology vendors, suppliers, and external partners to optimize cost, service quality, and access to innovative genomic technologies.
</li>
</ul><h4 class="jobSectionHeader">Grant Development and Research Funding</h4>
<ul>
<li>Plays a leading role in expanding NYGC&rsquo;s grant portfolio, particularly NIH and large-scale collaborative funding;
</li>
<li>Contributes to and helps lead the Grant Development Group with scientific vision and strategic insight;
</li>
<li>Provides leadership across all phases of proposal development, especially for multi-PI, center, and consortium grants;
</li>
<li>Works closely with Research Administration to ensure high-quality, competitive submissions;
</li>
<li>Helps build sustainable funding streams through programmatic, consortium-based, and investigator-initiated grants;
</li>
<li>Represents NYGC in settings that advance funding, partnerships, and scientific visibility.
</li>
<li>Identifies new strategic funding opportunities involving technology development, large-scale collaborative genomics, and national research infrastructure.
</li>
<li>Develops programmatic initiatives that generate sustainable external funding while advancing NYGC's long-term scientific mission.
</li>
</ul><h4 class="jobSectionHeader">Team Leadership and Scientific Culture</h4>

The Vice President will recruit, develop, and inspire an exceptional multidisciplinary team of scientists, engineers, laboratory leaders, project managers, and operational professionals dedicated to advancing genome science.
<ul>
<li>Building a culture of scientific rigor, innovation, collaboration, and continuous improvement.
</li>
<li>Recruiting outstanding scientific and operational talent.
</li>
<li>Developing future scientific leaders through mentoring, coaching, and succession planning.
</li>
<li>Promoting collaboration across research, informatics, AI, operations, and clinical genomics.
</li>
<li>Creating an inclusive, mission-driven organization focused on scientific excellence.
</li>
</ul>Technology Innovation
<ul>
<li>Develops and implements the Center's technology innovation strategy.
</li>
<li>Evaluates emerging technologies and establishes pilot programs.
</li>
<li>Partners with faculty to develop novel experimental platforms.
</li>
<li>Builds collaborations with technology companies to accelerate innovation.
</li>
<li>Positions NYGC as an early adopter and national demonstration site for next-generation genomic technologies.
</li>
</ul>Requirements
<ul>
<li>PhD or MD or MD/PhD required with strong scientific credentials
</li>
<li>An internationally recognized scientific leader with an outstanding record of innovation in genomics, genome technologies, or related disciplines;
</li>
<li>Demonstrated ability to translate scientific vision into scalable, high‑throughput operations, including oversight of large‑scale sequencing production, cost optimization, and delivery against project timelines;
</li>
<li>Demonstrated success leading large multidisciplinary scientific organizations and complex collaborative research programs, including serving as PI or Co-PI on externally funded research programs (e.g., NIH grants);
</li>
<li>Established record of high-impact scientific publications;
</li>
<li>Demonstrated success developing strategic partnerships with academic institutions, government agencies, and industry;
</li>
<li>Experience managing multimillion-dollar scientific programs and operating budgets;
</li>
<li>Demonstrated ability to translate emerging technologies into scalable research platforms;
</li>
<li>Deep knowledge of next-generation sequencing technologies and genomic analysis;
</li>
<li>10+ years of management experience with a strong commitment to developing teams;
</li>
<li>Exceptional ability to bridge scientific vision with operational execution;
</li>
<li>Strong communication, collaboration, and influencing skills across scientific and administrative stakeholders;
</li>
<li>Ability to thrive in a dynamic, evolving, and research-driven environment.</li></ul> 

Don&rsquo;t meet every single requirement? At NYGC we are dedicated to building a diverse, inclusive, and authentic workplace, so if you&rsquo;re excited about this role but your past experience doesn&rsquo;t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. 


Competencies
<ul>
<li>Strategic Leadership. Develops a compelling long-term vision and translates scientific opportunities into organizational priorities. Makes sound decisions in rapidly evolving scientific environments. Balances innovation with operational excellence and financial stewardship.
</li>
<li>Technical and Professional Skills: Consistently demonstrates skills and knowledge relevant for current role; strives to expand the depth and breadth of technical and professional skills; works with a high level of integrity; exhibits focus and discipline; appropriately prioritizes, manages expectations and delivers on commitments.
</li>
<li>Collaborative &amp; Communicative: Models collaboration and teamwork; brings out the best in others; effectively works with all levels, internally and externally; respects and embraces diversity of perspective; communicates clearly and listens carefully; uses good judgment as to what to communicate and when to do so.
</li>
<li>Adaptable &amp; Innovative: Adaptable and embraces change; develops new insights and pursues improvements and efficiency; fosters exchange of new ideas and willing to challenge the status quo; takes initiative and is solution-oriented; engages in work with passion and curiosity.
</li>
<li>Leader and Manager: Attracts, develops and retains diverse talent to achieve outstanding results; encourages professional development, coaches and regularly communicates expectations and feedback; aligns and inspires efforts toward our mission; translates organizational vision into action; responsibly utilizes NYGC&rsquo;s human and financial resources to ensure organizational and financial health; uses good judgment when making decisions; pushes boundaries and generates new ideas.</li></ul> 

Work Location &amp; Leadership Presence

NYGC recognizes the value of workplace flexibility while fostering a highly collaborative, team-oriented scientific environment. As a member of the Executive Management Team, the Vice President, Genome Technologies is expected to maintain a regular on-site presence to provide visible leadership, strengthen collaboration, and support organizational culture. 


The successful candidate is expected to work on-site at least four (4) days per week, with limited remote work flexibility subject to approval by the Scientific Director &amp; CEO. Regular interaction with faculty, staff, institutional partners, and executive leadership is essential to the success of this role. Occasional evening and weekend work, as well as domestic and international travel, may be required. 


Salary &amp; Benefits

The pay range for this position is $270,000-350,000 per year; the base pay offered may vary depending on job-related knowledge, skills, and experience.

In addition, NYGC offers a full range of medical, financial, and other benefits as well as generous time off. This includes Medical/Dental/Vision for employees &amp; dependent(s); Vacation, Holidays, Sick, and Other Leave, including a paid winter break; a 401(k) match; Life Insurance; Flexible Spending Accounts; employee Tuition Reimbursement; flexible schedules and telework options for some positions; an Employee Assistance Program; and much more. 


About the New York Genome Center

The New York Genome Center (NYGC) is an independent, nonprofit, academic research organization dedicated to advancing genomic research. NYGC scientists and staff are furthering new approaches to diagnosing and treating neurological diseases and cancer through their unique capabilities in whole genome sequencing, RNA sequencing, state-of-the art analytics, and the development of genomic tools. NYGC concentrates specifically on disease-based research in the following areas: neuropsychiatric disease (autism, schizophrenia, bipolar); neurodegenerative disease (ALS, Alzheimer&rsquo;s, Parkinson&rsquo;s, Huntington&rsquo;s), and cancer. 


Located in Lower Manhattan, the New York Genome Center was founded by and remains closely affiliated with the leading academic medical centers and research universities in the New York region, engaging in research projects with and for these institutions. Essential to our collaborative work is an outstanding faculty, whose members typically hold a joint appointment at NYGC and a partner university. They support our scientific mission by conducting independent research in areas of mutual interest to us and the wider scientific community. 


Equal Opportunity

We are committed to fostering a workplace environment that is welcoming and fair to all, ensuring that every employee has the opportunity to thrive. We believe that bringing together individuals with diverse backgrounds, experiences, and perspectives leads to greater collaboration, innovation, and discovery. Valuing and supporting each employee in reaching their full potential strengthens our organization and enhances our collective success. We recognize that creating an environment where all employees feel valued and included requires sustained effort and dedication from the entire organization.

The New York Genome Center is a VEVRAA Federal Contractor. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, creed, color, gender, religion, national origin, sexual orientation, age, disability, genetic predisposition or carrier status, protected veteran or military status, domestic violence victim status, partnership status, caregiver status, alienage or citizenship status, marital status, or any other characteristic protected by applicable law. NYGC takes affirmative action in support of its policy to hire and advance in employment individuals who are protected veterans and individuals with disabilities.

FLSA Status &ndash; Exempt

This position is eligible for visa sponsorship and relocation assistance.</div>

Vice President, Genome Technologies

Fusemachines

<div>
 
 About Fusemachines
 
 
 
 Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients&rsquo; AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government.
 
 
 Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI.
 
 
 
 Type: Full-time, Remote
 
 
 
 
 Role Overview
 
 
 
 We&rsquo;re hiring a mid-to-senior Machine Learning Engineer / Data Scientist to build and deploy machine learning solutions that drive measurable business impact. You&rsquo;ll work across the ML lifecycle&mdash;from problem framing and data exploration to model development, evaluation, deployment, and monitoring&mdash;often in partnership with client stakeholders and internal delivery teams.
 
 
 You should be strong in core data science and applied machine learning, comfortable working with real-world data, and capable of turning modeling work into production-ready systems.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Problem Framing &amp; Stakeholder Partnership
 </li>
 <ul>
 <li>
 Translate business questions into ML problem statements (classification, regression, time series forecasting, clustering, anomaly detection, recommendation, etc.)
 </li>
 <li>
 Collaborate with stakeholders to define success metrics, evaluation plans, and practical constraints (latency, interpretability, cost, data availability)
 </li>
 </ul>
 <li>
 Data Analysis &amp; Feature Engineering
 </li>
 <ul>
 <li>
 Use SQL and Python to extract, join, and analyze data from relational databases and data warehouses
 </li>
 <li>
 Perform data profiling, missingness analysis, leakage checks, and exploratory analysis to guide modeling choices
 </li>
 <li>
 Build robust feature pipelines (aggregation, encoding, scaling, embeddings where appropriate) and document assumptions
 </li>
 </ul>
 <li>
 Model Development (Core ML)
 </li>
 <ul>
 <li>
 Train and tune supervised learning models for tabular data (e.g., logistic/linear models, tree-based methods, gradient boosting such as XGBoost/LightGBM/CatBoost, and neural nets for structured data)
 </li>
 <li>
 Apply strong tabular modeling practices: handling missing data, categorical encoding, leakage prevention, class imbalance strategies, calibration, and robust cross-validation
 </li>
 <li>
 Build time series models (statistical and ML/DL approaches) and validate with proper backtesting
 </li>
 <li>
 Apply clustering and segmentation techniques (k-means, hierarchical, DBSCAN, Gaussian mixtures) and evaluate stability and usefulness
 </li>
 <li>
 Apply statistics in practice (hypothesis testing, confidence intervals, sampling, experiment design) to support inference and decision-making
 </li>
 </ul>
 <li>
 Deep Learning
 </li>
 <ul>
 <li>
 Build and train deep learning models using PyTorch or TensorFlow/Keras
 </li>
 <li>
 Use best practices for training (regularization, calibration, class imbalance handling, reproducibility, sound train/val/test design)
 </li>
 </ul>
 <li>
 Evaluation, Explainability, and Iteration
 </li>
 <ul>
 <li>
 Choose appropriate metrics (AUC/F1/PR, RMSE/MAE/MAPE, calibration, lift, and business KPIs) and create evaluation reports
 </li>
 <li>
 Perform error analysis and interpretation (feature importance/SHAP, cohort slicing) and iterate based on evidence
 </li>
 </ul>
 <li>
 Productionization &amp; MLOps (Project-Dependent)
 </li>
 <ul>
 <li>
 Package models for deployment (batch scoring pipelines or real-time APIs) and collaborate with engineers on integration
 </li>
 <li>
 Implement practical MLOps: versioning, reproducible training, automated evaluation, monitoring for drift/performance, and retraining plans
 </li>
 </ul>
 <li>
 Documentation &amp; Communication
 </li>
 <ul>
 <li>
 Communicate tradeoffs and recommendations clearly to technical and non-technical stakeholders
 </li>
 <li>
 Create documentation and lightweight demos that make results actionable
 
 </li>
 </ul>
 </ul>
 Success in This Role Looks Like
 
 
 <ul>
 <li>
 You deliver models that perform well and move business metrics (revenue lift, cost reduction, risk reduction, improved forecast accuracy, operational efficiency)
 </li>
 <li>
 Your work is reproducible and production-aware: clear data lineage, robust evaluation, and a credible path to deployment/monitoring
 </li>
 <li>
 Stakeholders trust your judgment in selecting methods and communicating uncertainty honestly
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 3&ndash;8 years of experience in data science, machine learning engineering, or applied ML (mid-to-senior)
 </li>
 <li>
 Strong Python skills for data analysis and modeling (pandas/numpy/scikit-learn or equivalent)
 </li>
 <li>
 Strong SQL skills (joins, window functions, aggregation, performance awareness)
 </li>
 <li>
 Solid foundation in statistics (hypothesis testing, uncertainty, bias/variance, sampling) and practical experimentation mindset
 </li>
 <li>
 Hands-on experience across multiple model types, including:
 </li>
 <ul>
 <li>
 Classification &amp; regression
 </li>
 <li>
 Time series forecasting
 </li>
 <li>
 Clustering/segmentation
 </li>
 </ul>
 <li>
 Experience with deep learning in PyTorch or TensorFlow/Keras
 </li>
 <li>
 Strong problem-solving skills: ability to work with ambiguous goals and messy data
 </li>
 <li>
 Clear communication skills and ability to translate analysis into decisions
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with Databricks for applied ML (e.g., Spark, Delta Lake, MLflow, Databricks Jobs/Workflows)
 </li>
 <li>
 Experience deploying models to production (APIs, batch pipelines) and maintaining them over time (monitoring, retraining)
 </li>
 <li>
 Experience with orchestration tools (Airflow, Prefect, Dagster) and modern data stacks (Snowflake/BigQuery/Redshift/Databricks)
 </li>
 <li>
 Experience with cloud platforms (AWS/GCP/Azure/IBM) and containerization (Docker)
 </li>
 <li>
 Experience with responsible AI and governance best practices (privacy/PII handling, auditability, access controls)
 </li>
 <li>
 Consulting or client-facing delivery experience
 
 
 </li>
 </ul>
 
 Certifications (Strong Plus)
 
 
 
 Candidates with at least one relevant certification are especially encouraged to apply:
 
 
 <ul>
 <li>
 Cloud certifications: AWS, Google Cloud, Microsoft Azure, or IBM (data/AI/ML tracks)
 </li>
 <li>
 Databricks certifications (Data Scientist, Data Engineer, or related)
 
 
 </li>
 </ul>
 
 Nice-to-Have
 
 
 
 <ul>
 <li>
 Causal inference experience (e.g., quasi-experimental methods, propensity scores, uplift/heterogeneous treatment effects, experimentation beyond A/B tests)
 </li>
 <li>
 Agentic development experience: designing and evaluating agentic workflows (tool use, planning, memory/state, guardrails) and integrating them into products
 </li>
 <li>
 Deep familiarity with agentic coding tools and workflows for accelerated product development (e.g., AI-assisted IDEs, code agents, automated testing/refactoring, repo-aware assistants), including strong judgment on quality, security, and maintainability
 
 
 </li>
 </ul>
 
 
 Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws.
 
 
 
 
 Important: Immigration Sponsorship Policy
 
 
 Fusemachines is unable to proceed with candidates who require any form of work authorization or immigration support from the company. This restriction applies to all types of support, including:
 
 
 <ul>
 <li>
 Direct Company Sponsorship: Such as H-1B, J-1, or TN visas
 </li>
 <li>
 Employer of Record: Listing Fusemachines as the immigration employer on any government documentation
 </li>
 <li>
 Written Documentation: Providing letters or other support for any work authorization (e.g., OPT, STEM OPT, CPT)
 
 
 </li>
 </ul>
 Powered by JazzHR
 
 
 qUN1H2divA
</div>

Machine Learning Engineer / Data Scientist

<div>
 
 Job Description
 
 
 
 We're seeking a highly motivated Associate or Vice President to join our Quantitative Trading &amp; Research (QTR) team in New York. The role blends quantitative development with close engagement with Trading and Risk to deliver impactful solutions.
 
 
 
 Position Summary
 
 
 
 As an Associate or Vice President on the Quantitative Trading &amp; Research team, you will partner closely with both XVA trading and Counterparty Credit risk. You will help in developing of quantitative models to enhance pricing and risk management.
 
 
 
 Job Responsibilities
 
 
 
 <ul>
 <li>
 Design and develop models/analytics for pricing and management of XVA, Margin and Counterparty Credit Risk, from research to product deployment.
 </li>
 <li>
 Partner with Trading and Risk to translate business needs into quantitative solutions, provide ongoing production support including incident triage and root-cause analysis.
 </li>
 <li>
 Own end-to-end delivery with Technology on implementation, testing and deployment.
 </li>
 <li>
 Drive model governance and continuous improvement in partnership with Model Validation, including documentation, controls, and ongoing performance monitoring.
 
 
 </li>
 </ul>
 
 Required Qualification, Capabilities, And Skills
 
 
 
 <ul>
 <li>
 Advanced degree in a quantitative field (or Bachelor's with 2+ years relevant experience).
 </li>
 <li>
 Strong understanding of probability/statistics and derivatives pricing; demonstrated ability to develop new quantitative approaches.
 </li>
 <li>
 Strong programming in Python and/or C++;
 </li>
 <li>
 Clear communicator with strong ownership, problem-solving skills, and ability to thrive in a fast-paced, collaborative environment.
 
 
 </li>
 </ul>
 
 Preferred Qualification, Capabilities, And Skills
 
 
 
 <ul>
 <li>
 Agentic AI and data pipeline/processing experience a plus.
 </li>
 <li>
 Product development lifecycle experience a plus.
 
 
 </li>
 </ul>
 
 ABOUT US
 
 
 
 JPMorganChase, 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 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' and employees' 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
 
 
 
 About The Team
 
 
 
 J.P. Morgan's Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
</div>

Quantitative Trading & Research - Portfolio - Associate

Sony

<div>Sony AI America, a branch of Sony AI, is a remotely distributed organization spread across the U.S. and Canada. Sony AI is Sony&rsquo;s new research organization pursuing the mission to use AI to unleash human creativity. Sony AI works closely with Sony&rsquo;s other business units, including Sony Interactive Entertainment LLC., Sony Pictures Entertainment Inc., and Sony Music Entertainment. With some 900 million Sony devices in hands and homes worldwide today, a vast array of Sony movies, television shows and music, and the PlayStation Network, Sony creates and delivers more entertainment experiences to more people than anyone else on earth. To learn more: https://ai.sony/
<div><div>Position Summary
</div><div>Sony AI is seeking research interns who are passionate about ML-based technologies that are useful in movie , game , and music creation, as well as technologies for the ethical operations of generative AIs. Our mission is to research and develop technologies for various Sony Group products and for scientific publication. The technologies developed during the internship will have the potential to be applied in film, game , and music production across entertainment studios worldwide. 
</div><div>Responsibilities
</div><div>As a research intern, you will investigate and apply novel algorithms related to:
</div><div>The generation and editing of video, sound, and 3D visual geometry (including 3D human motion).
</div><div>The analysis and alleviation of ethical flaws in generative models, including techniques for memorization detection and mitigation, concept erasure, and data attribution.
</div><div>Your goal will be to publish your findings in a top-tier conference. You are expected to be self-motivated and to implement innovative ideas using your research, coding, and problem-solving skills. You will receive support from internal scientists and engineers in your efforts. 
</div><div>Required Qualifications
</div><div><ul><li>Master&rsquo;s degree in Computer Science , Electrical Engineering, Applied Mathematics, or related fields.
</li></ul></div><div><ul><li>Proven knowledge and expertise in generative AI applications, including deep generative modeling, computer vision, and audio signal processing.
</li></ul></div><div><ul><li>Strong analytical and programming skills in deep learning using frameworks and tools for machine learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ).
</li></ul></div><div><ul><li>Experience in research communities, including published papers at top-tier conferences such as CVPR, ICCV, ECCV, NeurIPS , ICLR, and ICML.
</li></ul></div><div><ul><li>Excellent communication and presentation skills. 
</li></ul></div><div>Preferred Qualifications
</div><div><ul><li>Currently enrolled in a relevant Ph.D. program in fields such as Computer Science, Electrical Engineering, Applied Mathematics, or related disciplines. 
</li></ul></div></div><div>Working Location
</div><div>Location flexible (Tokyo, NYC, remote)
<div>The target hourly rate for this internship is $50.00 per hour. The individual will be paid hourly and eligible for overtime .
#LI-AS1
</div></div>All qualified applicants will receive consideration for employment without regard to any basis protected by applicable federal, state, or local law, ordinance, or regulation.
Disability Accommodation for Applicants to Sony Corporation of America Sony Corporation of America provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. For reasonable accommodation requests, please contact us by email at careers@sonyusa.com or by mail to: Sony Corporation of America, People Experience Department, 25 Madison Avenue, New York, NY 10010. Please indicate the position you are applying for.
We are aware that unauthorized individuals or organizations may attempt to solicit personal information or payments from job applicants by impersonating our company through fraudulent job postings. We take these matters seriously but cannot control third-party websites. To protect your personal information, please verify that any job posting you respond to also appears on our official Careers page: www.sonyjobs.com . Please also be advised that we never request personal identifying information (such as Social Security numbers, bank details, or copies of identification documents) during the initial stages of our application process. If you have any doubts about the authenticity of a job posting or communication, please contact careers@sonyusa.com before submitting any information.
Right to Work (English/Spanish)
E-Verify Participation (English/Spanish)</div>

Research Intern on Generative and Protective AI for Content Creation

Nebius

<div><div>About Nebius:

Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.

Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.

Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&amp;D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&amp;D.</div><div>

About Tavily 
 
We're building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent - but also informed.

We work with some of the most innovative teams in AI - from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it's powering sales assistants, research copilots, or internal knowledge tools, we're the missing link between LLMs and the real world.

Role:
</div>
We are looking for a Senior Business Systems Engineer to own our GTM Operations systems and strategy. You will have an integral role in architecting the engine that powers Tavily's growth. You will be our first hire to this team, building a seamless, scalable GTM stack and ensuring our data architecture supports world-class execution across Sales, Marketing, and Finance.
<ul>
<li>Own the end-to-end technical architecture of the GTM tech stack, ensuring seamless data flow across the entire customer lifecycle&mdash;from initial marketing lead to sales conversion and customer success renewal. We will be implementing a fresh SFDC instance which you will help create from the ground up.</li>
</ul><ul><li>Serve as the primary technical liaison for Sales, Finance, and Marketing leadership, translating complex departmental requirements into a multi-quarter technical roadmap for the Force.com platform and integrated ecosystem.</li>
</ul><ul><li>Establish and enforce rigorous engineering standards, including automated testing and security protocols to ensure the reliability and integrity of internal GTM applications.</li>
</ul>
What We're Looking For (Must Have):
<ul>
<li>6+ years of Force.com development experience with a deep understanding of Apex, LWC, and platform limits.</li>
</ul><ul><li>Proven track record of designing complex enterprise integrations and managing high-volume data pipelines.</li>
</ul><ul><li>BS/MS in Computer Science, Computer Engineering, or a related technical field.</li>
</ul><ul><li>Ability to navigate complex relational databases and leverage data for strategic decision-making.</li>
</ul><ul><li>Experience with Agile methodologies and managing a prioritized backlog in Jira or similar tools.</li>
</ul>
Nice to have:
<ul>
<li>Salesforce Certified Application or System Architect.</li>
</ul><ul><li>Deep experience with CPQ and Billing, Stripe, or Netsuite integrations.</li>
</ul><ul><li>Advanced expertise in Integration Platforms like Workato, Zapier or Mulesoft.</li>
</ul><div>
Benefits &amp; Perks:
<ul>
<li>Competitive compensation</li>
<li>Career growth and learning opportunities</li>
<li>Flexibility and ownership</li>
<li>Collaborative and innovative culture</li>
<li>Opportunity to work on impactful AI projects</li>
<li>International environment and talented teams</li>
</ul>
What's it like to work at Nebius:

Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI

Equal Opportunity Statement:

Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.

Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.

If you need accommodations during the application process, please let us know.</div></div>

Senior Business Systems Engineer (Agentic Search) - Tavily

Edra

<div>
 
 About Edra
 
 
 
 Edra is solving one of the hardest problems in enterprise AI: AI models are generic but company processes are specific. We build AI agents that learn how processes actually run, and then run their operations.
 
 
 We're a Series A startup, backed by Sequoia and other leading VC firms, and we're growing our team in New York and London. We're a deeply technical team of engineers, AI researchers, and strategists with a high bar for talent and a shared belief that exceptional people are the foundation of everything great we'll build.
 
 
 
 The Role
 
 
 
 We're looking for Backend Engineers who care deeply about the craft of building software: strong typing, thoughtful API design, robust data modeling, and systems that are a pleasure for other engineers to work with. You won't be building AI models, you'll be building everything around them: the platform, workflows, interfaces, integrations, and observability that make our AI useful in the real world. As an early engineer at Edra, you'll shape not just the product but the engineering culture, tooling choices, and technical foundations the company is built on.
 
 
 We work deliberately and deeply. There's no separation between "building it" and "shipping it"--you'll go from whiteboard to production and own the outcome. We'd rather build something thoughtfully than ship something fragile, and we treat velocity and quality as complementary, not competing.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Design and build platform systems in Python (Fast API), from API contracts to database schema and infrastructure
 </li>
 <li>
 Build and maintain connectors, integrations, and data pipelines that connect our platform to external systems
 </li>
 <li>
 Build internal libraries, tooling, and interfaces that make the rest of the engineering team more productive
 </li>
 <li>
 Own your work fully: gather context, manage dependencies, and drive tasks to completion without a product manager handing you tickets
 </li>
 <li>
 Wear multiple hats across the stack&ndash;you might design a schema in the morning, build the API layer in the afternoon, and debug a deployment issue before end of day
 </li>
 <li>
 Participate in weekly product meetings, understand how customers and forward deployed engineers use what you build, and shape what gets built next
 </li>
 <li>
 Collaborate daily with a small, high-caliber team of engineers and AI specialists
 </li>
 <li>
 Have direct influence on technical direction: choose tools, set patterns, and establish conventions the team will build on for years
 
 
 </li>
 </ul>
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 3+ years of experience in software engineering (but a computer science degree is not necessarily required)
 </li>
 <li>
 A love of writing Python and/or TypeScript to a genuinely high standard&ndash;well-modeled, well-typed, and well-documented. Strong typing feels like a superpower, not a chore
 </li>
 <li>
 Experience building libraries, SDKs, or internal tooling that made other developers' lives easier (and you&rsquo;ve enjoyed it)
 </li>
 <li>
 You light up when designing a clean database schema and take real pride in getting data models right
 </li>
 <li>
 You're at your best when you own a problem end to end &mdash; comfortable with ambiguity and energized by turning a vague problem into a well-scoped solution
 </li>
 <li>
 You're drawn to building foundational systems from scratch &mdash; greenfield work where your decisions compound over time excites you
 
 
 </li>
 </ul>
 Don't meet all of the above? We'd still love to hear from you. We're looking for exceptional people with unique skills and interests, and we know that great people have different backgrounds and skillsets. If your primary interest is building agentic systems, working with LLMs, or doing applied ML, check out our AI Engineering role&ndash;it might be a better fit.
 
 
 
 Learn More About Edra
 
 
 
 <ul>
 <li>
 Watch our Series A announcement video
 </li>
 <li>
 Read our blog post from our launch
 </li>
 <li>
 Learn more about what we're building
 
 
 </li>
 </ul>
 
 A Few Details
 
 
 
 Edra is an equal opportunity employer and we encourage applications from individuals of all backgrounds. Edra does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, marital status, sexual orientation, gender identity, veteran status, or any other legally protected characteristic.
 
 
 Compensation Range: $195K - $275K
 
 
</div>

Software Engineer - Back End (New York)

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