1

Principal Scientist Machine Learning Jobs (NOW HIRING)

About the Role We are looking for a Principal Machine Learning Scientist to advance the state of our computer vision systems for warehouse inventory scanning. You will work across the full ML ...

next page

Showing results 1-20

Principal Scientist Machine Learning information

See salary details

$68.5K

$144K

$190.5K

How much do principal scientist machine learning jobs pay per year?

As of Sep 11, 2026, the average yearly pay for principal scientist machine learning in the United States is $144,009.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,500.00 and $169,000.00 per year, depending on experience, location, and employer.

What does a principal scientist in machine learning do?

A Principal Scientist in Machine Learning leads advanced research and development projects focused on creating and improving machine learning models. They design experiments, analyze complex datasets, and develop algorithms to solve challenging problems in fields like artificial intelligence, data science, or computational biology. In addition to hands-on work, they often mentor junior team members, set research directions, and collaborate with cross-functional teams to integrate ML solutions into products or services. Their role is pivotal in driving innovation and ensuring that machine learning initiatives align with organizational goals.

What are the key skills and qualifications needed to thrive as a principal scientist in machine learning?

To thrive as a Principal Scientist in Machine Learning, you need advanced expertise in machine learning algorithms, statistical modeling, and a PhD or equivalent experience in computer science, mathematics, or a related field. Proficiency with programming languages like Python or R, deep learning frameworks (e.g., TensorFlow, PyTorch), and experience with cloud platforms are typically required. Strong leadership, communication, and problem-solving skills help drive cross-functional teams and innovative research. These skills are crucial for leading impactful ML projects, mentoring teams, and advancing organizational goals through cutting-edge solutions.

How does a principal scientist in machine learning typically collaborate with cross-functional teams on large-scale projects?

As a Principal Scientist in Machine Learning, you will frequently work alongside data engineers, product managers, domain experts, and software developers to ensure that ML models are both technically robust and aligned with business objectives. This role often involves leading technical discussions, setting research directions, and mentoring junior scientists. You may also be responsible for translating complex research outcomes into actionable insights for non-technical stakeholders, ensuring smooth integration of ML solutions into products or services. Effective communication and a collaborative mindset are essential, as these projects often require balancing technical innovation with practical constraints.

What cities are hiring for Principal Scientist Machine Learning jobs?

Cities with the most Principal Scientist Machine Learning job openings:

What states have the most Principal Scientist Machine Learning jobs?

States with the most job openings for Principal Scientist Machine Learning jobs include:

What are popular job titles related to Principal Scientist Machine Learning jobs?

For Principal Scientist Machine Learning jobs, the most frequently searched job titles are:

Infographic showing various Principal Scientist Machine Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $144,009 per year, or $69.2 per hour.

Principal Scientist, Machine Learning

Cambridge, MA

Flagship Pioneering, Inc.
Biotechnology Research and Development • 51 - 200 employees

Full-time

Medical, Retirement

Re-posted 5 days ago


Job description

ABOUT PIONEERING INTELLIGENCE
 

Pioneering Intelligence builds on Flagship Pioneering's legacy of founding cutting-edge science and computational ventures, harnessing recent advances in AI, machine learning, and data to accelerate fundamental research and create a portfolio of AI-first  companies. As part of Flagship's integrated model of science, entrepreneurship, and capital, it transforms breakthrough ideas into  world-changing companies, elevating the AI advances happening across the ecosystem in human health, sustainability, and 
beyond. 

THE ROLE 

We are seeking a Principal Scientist (Embedded ML/Computational) to lead AI/ML and computational projects that accelerate pharmaceutical R&D across the preclinical, translational, and clinical continuum, working closely with Pioneering Medicines (PM) and across Flagship's platform companies as part of the company origination process. You will define and deliver pragmatic AI strategies and oversee method and platform development across omics, biomolecule design, multi-o, systems biology, and scientific literature mining, ensuring rigor in model development, benchmarking, scaling, and reporting. Throughout, you will use LLM-based agents and agentic workflows as the connective tissue that ties these methods into end-to-end pipelines scientists rely on. You will manage cross functional contributors as applicable, influence company direction, and represent PI to venture teams, PM, and external partners. The ideal candidate is a self-directed serial deep diver - someone who can move from protein design one week to multi-omics or docking pipelines the next, and wire them together with agents that automate scientific workflows.  

KEY RESPONSIBILITIES

  • Program Leadership: Lead development, implementation, control, and reporting of several AI/ML and computational projects within assigned ventures and PM programs across the preclinical, translational, and clinical continuum, in line with broader strategic plans of PI and Flagship.  
  • Technical Ownership: Own the build, scaling, benchmarking and maintenance of agentic systems that combine ML and computational biology tools (genomics, biomolecule design, literature mining, system biology, etc) which serve as end-to-end systems for accelerating preclinical, translational and clinical R&D.
  • Best Practices: Promote operational excellence in AI projects by educating cross-functional collaborators.  
  • Team Leadership: Manage and/or coordinate internal and external scientists/engineers and cross functional project teams as applicable; mentor early hires; support recruiting and interview.  
  • Planning & Resourcing: Contribute to project planning, including budgets, resources, and timelines; surface risks and tradeoffs early with clear options.  
  • Landscape & Strategy: Independently scout emerging literature and the AI/ML and agentic-AI landscape; synthesize concepts to propose new development strategies and identify opportunities to accelerate R&D across the preclinical, translational, and clinical continuum for PI, PM, and venture portfolios.  
  • Communication & Influence: Influence the course of projects and technical approaches; adapt and present complex findings to diverse audiences to support meaningful interpretation and action.  

PROFESSIONAL EXPERIENCE & QUALIFICATIONS  

  • Master's, or PhD in a relevant field (e.g., machine learning, mathematics, statistics, computational sciences) with 5+ years' experience scientific/engineering/computational in academic, pharmaceutical, or biotechnology settings; industry AI/ML experience preferred.  
  • Experience driving results directly or indirectly through teams of engineers/scientists in dynamic, fastpaced, entrepreneurial, and technical environments.  
  • Clear evidence of sustained independent thought and creativity driving high impact, cross disciplinary AI/ML projects.  
  • Successful track record of leadership and contribution to decision making on progression of AI/ML models within projects or programs.  
  • Depth across multiple core tools and concepts, including Python; modern ML frameworks (PyTorch or JAX/TensorFlow); version control; databases; deep learning architectures; and relevant informatics software.  
  • Consistent record of outstanding performance reflected in publications, patents, or high impact internal reports where applicable.  

PREFERRED QUALIFICATIONS

  • Breadth across domains such as genomics, protein modeling/design, proteomics/mass spec, multi-omics, cheminformatics/docking/ADMET, biophysics/MD, and scientific literature mining, with the ability to connect them using LLM-based agents and agentic workflows.  
  • Hands-on experience with agentic AI and orchestration frameworks (e.g., Pydantic AI, LangGraph, LangChain, CrewAI, AutoGen).  
  • Experience integrating LLMs and model platforms, including Anthropic, OpenAI, Vertex AI, and Amazon Bedrock, and building evaluation and feedback-loop frameworks for agentic systems.  
  • Familiarity with sandboxed code execution and agent harness development.  
  • Experience with LLM observability and monitoring tooling and cost-governance / FinOps for AI infrastructure.  

WHY PIONEERING INTELLIGENCE

  • Operate at the frontier: Build and deploy AI/ML that directly powers discovery and decision making across multiple new ventures. 
  • Own the full stack: From scoping and data contracts to models, MLOps, and internal UIs-ship end-to-end systems that scientists rely on daily. 
  • Compound impact: Convert one off wins into shared libraries and templates adopted across the PI portfolio. 
  • Work with founders: Partner closely with venture leadership and PI platform engineers; influence strategy through hands on delivery. 
  • Grow fast: Stretch across domains, take on situational leadership, present at conferences, and help shape first ML teams.
     

ABOUT FLAGSHIP PIONEERING:

Flagship Pioneering invents and builds platform companies, each with the potential for multiple products that transform human health, sustainability and beyond. Since its launch in 2000, Flagship has originated more than 100 companies. Many of these companies have addressed humanity's most urgent challenges: vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture.  

Flagship has been recognized twice on FORTUNE's "Change the World" list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies and has been twice named to Fast Company's annual list of the World's Most Innovative Companies. Learn more about Flagship at www.flagshippioneering.com.

At Flagship, we accept impossible missions to enable bigger leaps. Our core values guide us through uncertainty and toward lasting impact.

We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.

We recognize that great candidates often bring unique strengths without fulfilling every qualification. If you have some of the experience listed above but not all, please apply anyway. We are dedicated to building diverse and inclusive teams and look forward to learning more about your background and interest in Flagship.

Recruitment & Staffing Agencies: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, "FSP") do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto.

The salary range for this role is $208,000 - $286,000. Compensation for the role will depend on a number of factors, including a candidate's qualifications, skills, competencies, and experience. Pioneering Intelligence currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on Pioneering Intelligence's good faith estimate as of the date of publication and may be modified in the future.