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Embedded Machine Learning Jobs in Massachusetts (NOW HIRING)

Senior Embedded Software Engineer

Boston, MA · On-site

$149K - $198.50K/yr

Design test harnesses for embedded software components and full systems * Provide technical ... Experience deploying Machine Learning models. * Experience working with GPUs. * Experience working ...

Senior Embedded Software Engineer

Boston, MA · On-site +1

$149K - $198.50K/yr

Design test harnesses for embedded software components and full systems * Provide technical ... Experience deploying Machine Learning models. * Experience working with GPUs. * Experience working ...

What we need We are looking for a Senior Embedded Software Engineer to join our team and play a key ... Applying next-gen technology, high-density storage and machine learning to solve today's complex ...

What we need We are looking for a Senior Embedded Software Engineer to join our team and play a key ... Applying next-gen technology, high-density storage and machine learning to solve today's complex ...

Applied ML Engineer

Boston, MA · Hybrid

$190K - $250K/yr

Stay current with the latest research and tools in machine learning and evaluate their ... Experience with edge or embedded ML deployments, including model compression and hardware-aware ...

You will be part of teams performing Test and Evaluation (T&E) of AI and machine learning models ... embedded systems. * Support the transition of the developed algorithms to software using one or ...

Responsibilities : • Perform data analysis, test and evaluation of existing machine learning ... real-time embedded systems. • Support the transition of the developed algorithms to software ...

... machine learning models, providing insights into applying AI to solve real-world problems ... time embedded systems. Qualifications : Required : • US CITIZENSHIP REQUIRED and an Active Top ...

Responsibilities : • Perform data analysis, test and evaluation of existing machine learning ... real-time embedded systems. • Support the transition of the developed algorithms to software ...

This person will also serve as an informal interface between the embedded software team and the ... Machine Learning engineers. Successful candidates will work well with both teams and bridge the gap ...

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Embedded Machine Learning information

See Massachusetts salary details

$76.4K

$167.5K

$190K

How much do embedded machine learning jobs pay per year?

As of May 29, 2026, the average yearly pay for embedded machine learning in Massachusetts is $167,514.00, according to ZipRecruiter salary data. Most workers in this role earn between $143,600.00 and $188,900.00 per year, depending on experience, location, and employer.

What is an Embedded Machine Learning job?

An Embedded Machine Learning job involves developing and optimizing machine learning models to run efficiently on resource-constrained devices like microcontrollers, edge devices, and IoT hardware. Professionals in this role work on model compression, low-power inference, and real-time processing, ensuring AI capabilities can function without relying on cloud computing. Responsibilities often include data preprocessing, feature extraction, model training, and deployment on embedded systems using frameworks like TensorFlow Lite or Edge Impulse.

What are the key skills and qualifications needed to thrive in the Embedded Machine Learning position, and why are they important?

To thrive in Embedded Machine Learning, you should have expertise in machine learning algorithms, embedded systems programming (e.g., C/C++, Python), and a solid understanding of hardware-software integration, typically backed by a degree in computer engineering, electrical engineering, or a related field. Familiarity with edge AI tools (such as TensorFlow Lite, ONNX, or Edge Impulse), microcontrollers, and real-time operating systems is highly valued, alongside relevant certifications such as Embedded Systems or AI certificates. Strong problem-solving skills, effective communication, and the ability to work cross-functionally are crucial soft skills in this field. These qualifications and qualities are vital for creating efficient, reliable AI solutions that operate seamlessly within resource-constrained environments and interdisciplinary project teams.

What are some common challenges faced by professionals working in embedded machine learning roles?

Professionals in embedded machine learning roles often face the challenge of optimizing machine learning models to run efficiently on resource-constrained hardware, such as microcontrollers or edge devices with limited memory and processing power. Balancing model accuracy, inference speed, and energy consumption can require creative problem-solving and deep knowledge of both hardware and software. Additionally, collaboration with hardware engineers, data scientists, and software developers is key, as projects typically require cross-functional teamwork to meet performance and deployment goals. Staying current with rapidly evolving tools and best practices is also important in this dynamic field.
What are the most commonly searched types of Embedded Machine Learning jobs in Massachusetts? The most popular types of Embedded Machine Learning jobs in Massachusetts are:
What are popular job titles related to Embedded Machine Learning jobs in Massachusetts? For Embedded Machine Learning jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Embedded Machine Learning jobs in Massachusetts look for? The top searched job categories for Embedded Machine Learning jobs in Massachusetts are:
What cities in Massachusetts are hiring for Embedded Machine Learning jobs? Cities in Massachusetts with the most Embedded Machine Learning job openings:
Principal Scientist, Machine Learning, Origination

Principal Scientist, Machine Learning, Origination

Flagship Pioneering, Inc.

Cambridge, MA • On-site

Full-time

Medical, Retirement

Posted 2 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 multiple AI/ML or computational projects across early stage ventures, as a part of Flagship's company origination process. You will define and deliver pragmatic AI strategies, oversee method and platform development (e.g., systems design, drug design, molecular modeling, systems biology, protein design, LLM/agentic workflows), and ensure rigor in model development, benchmarking, scaling, and reporting. You will manage cross functional contributors as applicable, influence company direction, and represent PI to venture teams and external partners. The ideal candidate is a self-directed serial deep diver - someone who can move from protein design one week to mass spec or docking pipelines the next and then spin up LLM based agents that automate scientific workflows.
KEY RESPONSIBILITIES
  • Program Leadership: Lead development, implementation, control, and reporting of several AI/ML or computational projects within assigned ventures in line with broader strategic plans of PI and Flagship, budgets, and timelines.
  • Technical Ownership: Take a specialized technical role on project teams to oversee method development, pipeline development, and LLM based agent/workflow design; drive benchmarking, scaling, and implementation into production grade systems.
  • 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 crossfunctional 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 landscape; synthesize concepts to propose new development strategies and identify opportunities for PI and venture portfolios.
  • Representation & Community: Represent PI to portfolio companies and external partners; act as a recognized subject matter expert; actively participate in scientific conferences and meetings.
  • 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 protein modeling/design, proteomics/mass spec, cheminformatics/docking/ADMET, biophysics/MD, and LLM/agentic automation.
  • MLOps expertise: data contracts and lineage (e.g., DVC/LakeFS), experiment tracking (MLflow/W&B), secure AWS infrastructure (S3, Batch/ECS/EKS, SageMaker), Docker, IaC (Terraform/CDK), and CI/CD (GitHub Actions).
  • Generative modeling (diffusion/flow/VAEs) for sequences, graphs, or 3D structures; docking rescoring (e.g., gnina, DiffDock) and pose quality metrics.
  • Workflow orchestration (Airflow/Prefect/Argo), data warehouses (Redshift/Snowflake), vector search (FAISS/pgvector), and lightweight internal tools (FastAPI, Streamlit/Gradio).
  • Experience mentoring early hires, acting as interim Head of ML, and contributing to hiring plans and interview processes at startups.

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 endtoend 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.
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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.
Privacy Notice for Applicants: When you apply for a role at Flagship Pioneering or one of its portfolio companies, we collect and use personal information you provide (such as your name, contact details, work history, and application materials) to evaluate your application, communicate with you, and comply with legal obligations. Your application data is processed through Greenhouse, our applicant tracking system, and may also be reviewed using AI-assisted screening tools. We do not sell your personal information. California residents have rights under the CCPA/CPRA including to know, delete, and opt out of the sharing of their personal information. If you are located in the EU or UK, we process your data under GDPR and you have rights to access, rectify, and erase your data. To exercise your rights or for questions, contact privacy@flagshippioneering.com.