Top 27 machine learning scientist ii multimodal ai Jobs

Senior Scientist II, Applied Machine Learning and Translational Agentic AI, Life Science R&D
Tempus —New York, NY
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- Full-time
- Master's degree
- Math
- Doctor of Philosophy
- Health insurance
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Data Scientist II
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Machine Learning Scientist — Large multimodal models
Iambic Therapeutics, Inc —Boston, MA
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Manager II, Machine Learning-Search
Pinterest —San Francisco, CA
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ML Research Scientist I/II, Multimodal Data Extraction
Lila Sciences —Cambridge, MA
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- Computer science
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Robert Half —San Ramon, CA
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Machine Learning Engineer II / Senior Machine Learning Engineer I, Physical Sciences
Lila Sciences —Cambridge, MA
- $128,000 - $198,000 a year
- Computer science
- Computer Science
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Senior Data Scientist II, Real World Evidence (RWE), Pharma R&D
Tempus —Boston, MA
- Full-time
- Master's degree
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Research Scientist II/Senior, Discovery ML
Iambic Therapeutics, Inc —San Diego, CA
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- 401(k) matching
Machine Learning Engineer/Machine Learning Scientist , Multi Modality
Altos Labs —San Diego, CA
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- Computer Science
- Doctor of Philosophy
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Machine Learning Engineer II , AGI Customization
Amazon.com Services LLC —Boston, MA
- $143,700 - $194,400 a year
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Scientist /Senior Scientist, Multimodal & Relational Machine Learning Foundation Models
Altos Labs —San Francisco Bay Area, CA
- $200,900 - $330,000 a year
- Computer Science
- 5 years
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Software Engineer II
Quevera LLC —Herndon, VA
- Mid-level
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- 1 year
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Quick Apply
5d
Applied Scientist II, Foundation Model, Robotics
Amazon.com Services LLC —San Francisco, CA
- $171,600 - $222,200 a year
- Full-time
- Mid-level
- Java
- Master's degree
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14d

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Senior Scientist II, Applied Machine Learning and Translational Agentic AI, Life Science R&D

Tempus -
New York, NY

Apply Now

Job Details

Full-time
$125,000 - $190,000 a year

Benefits

Health insurance
RSU

Qualifications

AI models
Software engineering
Clinical research
Biostatistics-based research
Scientific publications
Testing and evaluation
Generative models
Git
Scalable systems
Computational framework
Survival analysis
Scientific research papers
Prompt engineering
Machine intelligence
Developing large-scale AI models
Scalability
Computer skills
Unit testing
Machine learning frameworks
Pharmaceutical research
Python
Generative AI

Full Job Description

Passionate about precision medicine and advancing the healthcare industry?

Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.

The Senior Scientist II, Applied Machine Learning and Translational Agentic AI, Life Science R&D will lead the scientific development of cutting-edge agentic frameworks designed to automate the discovery of novel prognostic and predictive models in oncology. This role sits at the intersection of advanced Large Language Model (LLM) orchestration and translational science. You will be responsible for architecting sophisticated "deep agents" capable of hypothesis generation, experimental design, and multimodal ML and AI modeling utilizing foundation models.

As a senior technical contributor, you will act as a force multiplier for the team, taking ownership of design, code quality, and the strategic roadmap for agentic capabilities. Beyond technical architecture, you will innovate on core scientific methodology by developing new predictive models and causal inference frameworks to rigorously analyze vast multimodal oncology data, effectively scaling scientific discovery from a manual process to a high-throughput, automated engine.

Description

Data Expertise: Tempus has one of the largest multimodal patient datasets ever collected, providing a unique opportunity to work with extensive and diverse data. Become an expert in Tempus’ vast epidemiological, clinical, genomic, transcriptomic and pathology imaging data, along with the latest tools and techniques for their analysis and modeling.
Teamwork and collaboration:
- Work with Research, Engineering & Data Science teams across Tempus’ expansive data science community to develop and deliver innovative computational solutions.
- Co-develop solutions with Pharma partner science and clinical teams

Drug R&D and translational science: Work with leading pharmaceutical companies. Gain proficiency in their strategies, drug modalities, and pipelines to identify where the Tempus platform can add value.
Scientific communication: Skillfully navigate client interactions to extract and communicate the most impactful insights driving new R&D opportunities; effectively communicate complex technical results and methodologies to diverse external stakeholders.
Scientific leadership: Empower computational biologists and RWE scientists through targeted AI guidance and hands on coaching to increase AI tool adoption to maximize impact.
Personal development: Continuously immerse yourself in the latest industry trends, best practices, and advancements in machine learning and AI to revolutionize drug R&D

Responsibilities

Agentic AI Architecture: Design and build complex, state-of-the-art agentic workflows. Develop agents capable of long-horizon planning, tool use and "co-scientist" reasoning.
Multimodal Modeling: Leverage oncology foundation models to integrate DNA, RNA, H&E, and clinical data into predictive algorithms.
Scientific Innovation: Collaborate with clinical scientists and pharma partners to define high-value use cases, such as clinical trial design support and treatment de-escalation.

Qualifications

Education and experience:
- Minimum
  - PhD (or Masters degree with 5+ years of relevant experience).
  - Plus an additional 2+ years of relevant industry or post-doctoral experience that involves medicine and AI.
- Combining:
  - Quantitative and computational skills, specifically in AI agent based workflows (e.g. Applied Machine Learning, Generative AI, Mathematics, biostatistics).
  - Biological, medical, translational or drug development knowledge and data (e.g. oncology, RWE, medical science, or clinical drug development).

Technical/Scientific Skills:
- Agentic Frameworks: Expert-level proficiency in Python and orchestration frameworks, specifically LangGraph (strongly preferred) or similar. Experience building deep agents with complex state management and graphs.
- LLM Application: Deep knowledge of prompt engineering, RAG (Retrieval-Augmented Generation), function calling, and evaluating non-deterministic LLM outputs.
- Machine Learning: Strong foundation in survival analysis (CoxPH, RSF, NN) and evaluation metrics for oncology models.
- Software Engineering: Adherence to software best practices (unit testing, git) and experience designing scalable systems.
- Experience working with clinical trial or real-world data, clinical guidelines (e.g., NCCN for oncology) and emerging RWE methodologies
Track record of success: proven in peer reviewed publications or other proven impact.
Communication Skills: Excellent written and verbal communication skills, with the ability to present complex information clearly and persuasively to diverse audiences.
Motivated: Thrive in a fast-paced environment and willing to shift priorities seamlessly.

Preferred Skillsets/Background

Experience in integrative modeling of multi-modal clinical and omics data, preferably with multimodal embeddings and foundation models.
Strong understanding of data and artificial intelligence in Oncology.
Understanding of cancer biology and clinical data.
Experience with deploying ML models in cloud environments.

CHI: $125,000 - $185,000

SF/NY: $150,000 - $190,000

The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.

Additionally, for remote roles open to individuals in unincorporated Los Angeles – including remote roles- Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

About Us

Tempus was founded in August of 2015 by Eric Lefkofsky, after his wife was diagnosed with Breast Cancer. Shortly after he founded the company in an effort to bring the power of technology and artificial intelligence to cancer care, he convinced Ryan Fukushima to join as the company’s first employee. Ryan and Eric began assembling a world class team, focused on building the first version of a platform capable of ingesting real time healthcare data in an effort to personalize diagnostics.

We built the platform for oncology and have expanded it to neuropsychiatry, cardiology, infectious disease (through COVID), and radiology. Despite our rapid growth, our mission remains the same—to help make sure patients are on the right drug at the right time, so they can live longer and healthier lives.

Why Work Here?

We’re looking for people who can change the world.

Who question the status quo and don’t shy away from tough problems. For the builders who are never done building and the learners who are never done learning. We’re looking for passionate people with undying curiosity. Those who want to attack one of the most challenging problems mankind has ever faced. Head on.

Apply Now

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machine learning scientist ii multimodal ai jobs

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