New York, New York, United States · On-site
$164k–$260k/yr
We are looking for a Senior MLOps engineer to work closely with Data Scientists to build and deploy ML models on a modern MLOps stack. As Lead Machine Learning Engineer on the Recommendation Engine team, you’ll build and…
Skills: Python, AWS, MLOps, LLM Quantization, CUDA
New York, New York, United States · On-site
$200k–$300k/yr
Why Work with Us Solve impactful problems. At Seven Research, our close-knit team unites brilliant minds passionate about pushing technological and scientific boundaries in the global markets. We provide state-of-the-art…
Skills: C++, Data Structures, Algorithms, Object-Oriented Programming, Latency-Sensitive Development
New York, New York, United States · On-site
$200k–$300k/yr
Why Work with Us Solve impactful problems. At Seven Research, our close-knit team unites brilliant minds passionate about pushing technological and scientific boundaries in the global markets. We provide state-of-the-art…
Skills: C++, Data Structures, Algorithms, Statistical Analysis, Quantitative Analysis
New York, New York, United States · On-site
$200k–$300k/yr
Why Work with Us Solve impactful problems. At Seven Research, our close-knit team unites brilliant minds passionate about pushing technological and scientific boundaries in the global markets. We provide state-of-the-art…
Skills: C++, Data Structures, Algorithms, Statistical Analysis, Quantitative Analysis
New York, New York, United States · On-site
About Burns Burns is a nationally respected provider of specialized engineering services, bringing highly-technical, sought-after engineering expertise to complex transportation and critical infrastructure projects. New …
Skills: Mechanical Engineering, Healthcare Project Design, Project Management, Technical Mentoring, Design Analysis
New York, New York, United States · On-site
$225k–$275k/yr
Company Overview JRM is one of the top General Contracting and Construction Management Firms with over a decade of trusted experience. Headquartered in New York City with offices in New Jersey, California, and Florida, J…
Skills: Project Management, Financial Forecasting, Budgeting, Risk Mitigation, Client Relationship Management
New York, New York, United States · On-site
$160k–$220k/yr
Company Overview JRM is one of the top General Contracting and Construction Management Firms with over a decade of trusted experience. Headquartered in New York City with offices in New Jersey, California, and Florida, J…
Skills: Site Coordination, Construction Safety, Project Scheduling, Quality Control, Budget Management
New York, New York, United States · On-site
$160k–$220k/yr
Company Overview JRM is one of the top General Contracting and Construction Management Firms with over a decade of trusted experience. Headquartered in New York City with offices in New Jersey, California, and Florida, J…
Skills: Site Coordination, Construction Safety, Project Scheduling, Quality Control, Budget Management
New York, New York, United States · Hybrid
$100k–$160k/yr
Company Overview JRM is one of the top General Contracting and Construction Management Firms with over a decade of trusted experience. Headquartered in New York City with offices in New Jersey, California, and Florida, J…
Skills: Estimating, Cost Analysis, Project Management, Attention to Detail, Time Management
New York, New York, United States · On-site
$120k–$160k/yr
Company Overview JRM is one of the top General Contracting and Construction Management Firms with over a decade of trusted experience. Headquartered in New York City with offices in New Jersey, California, and Florida, J…
Skills: BIM, Revit, Navisworks, AutoCAD, Adobe InDesign
New York, New York, United States · On-site
$100k–$125k/yr
Company Overview JRM is one of the top General Contracting and Construction Management Firms with over a decade of trusted experience. Headquartered in New York City with offices in New Jersey, California, and Florida, J…
Skills: Change Order Management, Billing, Document Control, Construction Administration, Financial Tracking
New York, New York, United States · On-site
$275k–$325k/yr
Company Overview JRM is one of the top General Contracting and Construction Management Firms with over a decade of trusted experience. Headquartered in New York City with offices in New Jersey, California, and Florida, J…
Skills: Project Management, Construction Management, Budgeting, Cost Control, Scheduling
New York, New York, United States · On-site
$150k–$225k/yr
Company Overview JRM is one of the top General Contracting and Construction Management Firms with over a decade of trusted experience. Headquartered in New York City with offices in New Jersey, California, and Florida, J…
Skills: Project Management, Budget Management, Client Relations, Construction Planning, Financial Reporting
New York, New York, United States · On-site
$120k–$160k/yr
Company Overview JRM is one of the top General Contracting and Construction Management Firms with over a decade of trusted experience. Headquartered in New York City with offices in New Jersey, California, and Florida, J…
Skills: BIM Management, VDC Coordination, Revit, Navisworks, AutoCAD
New York, New York, United States · On-site
$120k–$155k/yr
Senior Project Manager - Environmental I Brooklyn, NY LaBella is seeking an Environmental Project Manager to join our growing, multi-disciplinary Brooklyn, NY office. LaBella is a 100% employee-owned firm with more than …
Skills: Environmental Project Management, Environmental Due Diligence, Remediation, Wetland Delineation, Environmental Permitting
New York, New York, United States · On-site
About Burns Burns is a nationally respected provider of specialized engineering services, bringing highly-technical, sought-after engineering expertise to complex transportation and critical infrastructure projects. New …
Skills: Electrical Engineering, Healthcare Project Design, Project Management, Technical Mentoring, Design Analysis
New York, New York, United States · Hybrid
Who We Are: Spot & Tango is an innovative pet health & wellness brand that delivers personalized meal plans on a subscription basis. Our recipes are developed by leading animal nutritionists and are made with only real, …
Skills: SQL, dbt, Python, Google BigQuery, Omni
New York, New York, United States · Remote OK
About Us At Félix, we're building the financial ecosystem for Latin immigrants in the U.S., starting with a revolution in remittances. Our core product is an AI-powered chatbot built on WhatsApp, allowing our users to se…
Skills: SQL, DBT, BigQuery, Firestore, Omni
New York, New York, United States · On-site
$145k–$165k/yr
At Morgan & Morgan, the work we do matters. For millions of Americans, we’re their last line of defense against insurance companies, large corporations or defective goods. From attorneys in all 50 states, to client suppo…
Skills: Python, FastAPI, React, AWS, Test-Driven Development
New York, New York, United States · Hybrid
$170k–$210k/yr
Company Description We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and dig…
Skills: ServiceNow Project Management, Fixed-Price Contract Management, ITIL, Stakeholder Management, Change Management
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Build and maintain robust pipelines for distributed model training and high-throughput real-time inference on GPU clusters. Oversee the deployment of LLMs and the optimization of vector databases to support personalization and insights applications.
Requires a BS or MS in Computer Science with 4-6+ years of experience and strong proficiency in Python and AWS. Candidates must have deep knowledge of LLM quantization, systems engineering fundamentals, and big data tools like Ray or Spark.
We are looking for a Senior MLOps engineer to work closely with Data Scientists to build and deploy ML models on a modern MLOps stack.
As Lead Machine Learning Engineer on the Recommendation Engine team, you’ll build and maintain pipelines for distributed model training on large compute clusters, batch/real-time model serving, hyperparameter tuning at scale, model monitoring, production validation and other activities vital for model development, testing and deployment in a well-managed, controlled environment.
Our product, Personalization and Insights, builds and supports high throughput, low latency applications which leverage state of the art machine learning architectures, and which are deployed in AWS. These applications power personalized experiences across Chase Consumer & Community Banking channels, to help weave a user experience that includes traditional banking services with other services in the Travel, Merchant Offer Shopping, and Dining spaces.
Job responsibilities
Build, deploy, and maintain robust pipelines for distributed training on GPU-enabled clusters to support scalable machine learning workflows.
Develop and manage pipelines for high-throughput, real-time inference as well as batch inference, ensuring optimal performance and reliability.
Implement quantization techniques and deploy large language models (LLMs) to maximize efficiency and resource utilization.
Oversee the management and optimization of vector databases to support advanced AI and machine learning applications.
Establish and maintain comprehensive monitoring and observability pipelines to ensure system health, performance, and rapid issue resolution.
Collaborate with cross-functional teams to integrate new technologies and continuously improve existing infrastructure.
Partner with product, architecture, and other engineering teams to define scalable and performant technical solutions.
Required qualifications, capabilities, and skills
BS in Computer Science or related Engineering field with 6+ years of experience Or MS degree in Computer Science or related Engineering field with 4+ years experience.
Solid knowledge and extensive experience in Python and in cloud computing, preferably AWS
Understanding of quantization techniques such as PTQ, AWQ etc. used to quantize LLMs for accelerating inference on specific GPU architectures
Experience in systems engineering fundamentals: caching, CUDA, autoscaling, high throughput, low latency, x-region resilient applications
Deep knowledge and passion for data science fundamentals, training and deploying models
Experience in monitoring and observability tools to monitor model input/output and features stats
Operational experience in big data/ML tools such as Ray, DuckDB, Spark and in training/inference systems such as Ray, vllm/SGLang
Solid grounding in engineering fundamentals and analytical mindset
Preferred qualifications, capabilities, and skills
Experience with recommendation and personalization systems is a plus.
CUDA experience is a big plus
Solid fundamentals and experience in containers (docker ecosystem), container orchestration systems [Kubernetes, ECS], DAG orchestration [Airflow, Kubeflow etc]
Good knowledge of Databases
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 & Co. is an Equal Opportunity Employer, including Disability/Veterans
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. We serve millions of customers and many of the world’s most prominent corporate, institutional, and government clients daily, managing assets and investments, offering business advice and strategies, and providing innovative banking solutions and services. Social Media Terms and Conditions: https://bit.ly/JPMCSocialTerms JPMorgan Chase & Co. 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, or status as a protected veteran.
Offices: 270 Park Avenue, New York, NY 10017-2014, US · 101 Duncan Mill Road, Toronto, ON M3B1Z3, CA · 2200 Ross Ave, Dallas, TX 75201, US · Kadubeesanahalli Circle, Bengaluru, Karnataka 560103, IN · 370 S Cleveland Ave, Westerville, OH 43081, US
Based on 4698 listings with disclosed salaries, most engineering jobs in New York, NY pay between $85k–$224k per year. Individual offers vary with seniority, company size, and specialization.
There are currently 5,534 open engineering positions in New York, NY listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include New York City Housing Authority (NYCHA), Amazon, JPMorganChase, New York Life, Capgemini, among others. Browse the listings above to see every active employer.
Yes — 2223 of the 5534 open engineering positions offer remote or hybrid work (485 remote, 1738 hybrid).
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.
