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The Artificial Intelligence & Machine Learning Engineer/Scientist I works within the Artificial Intelligence Operatio...

Fulltime Ai Machine Learning Data Science

$90k - $106k · Senior Fully remote

About The Company World is a network of real humans, built on privacy-preserving proof-of-human technology, and power...

Fulltime Machine Learning Data Science Ai

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The Corporate & Investment Bank is a global leader across investment banking, wholesale payments, markets and securit...

Fulltime Ai Machine Learning Data Science

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Come join our team at Jefferson Lab, where great minds matter. 1 -Year Term Position Posting Date: 11/05/2025 Salary ...

Fulltime Ai Machine Learning Data Science

$78k - $139k · Senior Fully remote

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Machine Learning ...

Fulltime Remote Ai Machine Learning

$176k - $251k · Senior Fully remote

ARKA Group L.P. (“ARKA”) is an advanced technologies company serving the U.S. military, intelligence community, and c...

Fulltime Remote Machine Learning Deep Learning

$86k - $200k* · Senior Fully remote

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new p...

Ai Machine Learning Deep Learning Data Science

Fully remote

Senior Software Engineer (Machine Learning) - Long Term Project - Remote (US/PT) Title: Senior Software Engineer (Mac...

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Machine Learning Engineer – NLP & AI Systems Remote (Must be based in USA) $160k - $200k Base About the Company: We’r...

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*Job Title: GenAI Engineer *W2 Only Duration: 12-18 months Location: Newark, DE, Pennington, NJ or Chicago, IL Requir...

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We’re seeking an Azure OpenAI / AI Cloud Engineer with deep experience in deploying, configuring, and managing Azure-...

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THE COMPANY We are an ambitious, well-funded, high-growth global technology company transforming the hotel industry. ...

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Dice is the leading career destination for tech experts at every stage of their careers. Our client, AGM Tech Solutio...

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$15k* · Senior Fully remote

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Fulltime Data Science Mlops Generative Ai

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Machine Learning Engineer (MLOps) Location: Washington, D.C. (Hybrid - 2 days onsite) About The Company Our client is...

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Are you obsessed with data, partner success, taking action, and changing the game? If you have a whole lot of hustle ...

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We are seeking a hands-on AI Engineer to help design, build, and deploy intelligent features within our application e...

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Turion Space is building spacecraft for national security and in-space operations — and the ground systems to support...

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Senior MLOps Engineer (Hybrid — NYC) Pumex Computing is supporting a leading global technology organization in hiring...

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Machine Learning Engineer Tampa, Sun Bay South Onsite $180K - $210K + benefits Premier Group has partnered with a lea...

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This is an advanced, high-impact role focused on the infrastructure that powers our ML systems. You are the architect...

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MLOPS Engineer Salt Lake City, UT or Remote Contract-to-Hire: $50-$60 per hour / $100-120k annual A client of ours is...

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Role: GCP MLOps Engineer (Retail or E-commerce domain) Location: Katy, TX (Hybrid) Duration: 12+ Months (C2C/W2) We a...

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At Apple, new ideas have a way of becoming excellent products, services, and customer experiences very quickly. Bring...

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Selected role

AI-Machine Learning Engineer

Dana-Farber Cancer Institute Boston, MA

$90k - $106k Senior Full-time

The Artificial Intelligence & Machine Learning Engineer/Scientist I works within the Artificial Intelligence Operations and Services group (AIOS) in the Informatics & Analytics department of Dana-Farber Cancer Institute.

This role provides support in machine learning, NLP, and computer vision to build reuseable and scalable AI/ML tools and pipelines to support Dana-Farber operations, research, and clinical practice.

The role operates in a matrixed team environment, collaborating with client-facing leads, software engineers, product managers, project managers, project sponsors, and clients.

The Informatics & Analytics department serves patients, present and future, by collaboratively building a sustainable informatics and analytics ecosystem of tools and services to support and grow the Institute’s research, clinical, and business missions. The AIOS group provides services related to AI, machine learning, computer vision, NLP, production deployment, cloud infrastructure, data engineering, project management standards, and data labeling.

Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.

Contribute to the development,deployment, and monitoring of AI solutions, supporting scalable and efficient practices to ensure reliable telemetry tracking, model performance monitoring, and cross-platform efficiency.
Assist in implementing and maintaining data and machine learning solutions, helping to manage models throughout their lifecycle to ensure they are well-organized, auditable, and maintain high accuracy.
Support the creation and maintenance of CI/CD pipelines for machine learning models in cloud environments, including workflows for batch, online, streaming, and edge training/inference.
Elicit functional requirements from end users and data science teams, utilizing methods such as user interviews, mockups, wireframes, end-to-end testing, prototypes, GUI designs, and use cases.
Provide updates on assigned tasks and project progress to multiple groups include the AIOS team, client-facing leads, project sponsors, business owners, and internal stakeholders.
Work effectively as part of a team, contributing to shared goals and supporting the success of projects and initiatives.
Bachelor’s degree in a related field (Computer Science, Data Science, Engineering) required.
Master’s degree preferred.
1 year of work experience in machine learning and AI required.
Relevant lab work and research projects, teaching assistantships, internships, cooperative education programs undertaken during an advanced degree program may be considered toward qualifying work experience.
Experience within a clinical or research environment preferred.

Knowledge, Skills, And Abilities Required

Excellent communication and effective problem-solving skills.
Track record in serving a variety of diverse customers and projects.
Ability to work independently, prioritize, and adapt to meet the evolving needs of the Institute.
Familiarity with Python.
R, Databricks, and/or Snowflake experience preferred.
Experience with one of the following: MLOPS and ML engineering; GenAI and agentic AI; AL/ML and data science; data engineering and pipelines.

Pay Transparency Statement
The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate’s relevant experience, skills and qualifications.

For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA)

$90,400 - $106,400

At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are committed to having faculty and staff that offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply.

Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law.

*EEOC Poster

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