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Machine Learning Startup Jobs in Boston, MA (NOW HIRING)

1910

AI Research Scientist II

Boston, MA

... and Machine Learning solutions in biology and medicinal chemistry related to your modeling efforts * Ability to work effectively in a fast-paced startup environment with evolving projects and ...

1910

AI Research Scientist III

Boston, MA

... and Machine Learning solutions in biology and medicinal chemistry related to your modeling efforts * Ability to work effectively in a fast-paced startup environment with evolving projects and ...

1910

AI Research Scientist I

Boston, MA

Propose and prototype AI and Machine Learning solutions that address use cases in 1910's design ... Ability to work effectively in a fast-paced startup environment with evolving projects and shifting ...

PhaseV

Senior Data Scientist

Cambridge, MA · On-site

Leveraging the power of advanced causal inference and pushing the boundaries of machine learning ... A collaborative and dynamic startup environment. * Professional growth and development ...

PhaseV

Senior Data Scientist

Boston, MA

Leveraging the power of advanced causal inference and pushing the boundaries of machine learning ... A collaborative and dynamic startup environment. * Professional growth and development ...

Harnham

Senior AI Engineer

Cambridge, MA · On-site

$114K - $156K/yr

... startup that is developing an AI-driven approach to more personalized cancer monitoring ... MSc or PhD in computer science, machine learning, computational biology, or a related field

Harnham

Senior AI Scientist

Cambridge, MA · On-site

$100K - $136K/yr

PhD in machine learning, computational biology, bioinformatics, or a related field * Strong ... Startup or entrepreneurial experience, especially building systems from zero to one BENEFITS The ...

The Tyche Project

Lead Data Scientist

Boston, MA

Past experience using predictive analytics, behavior modeling, and machine learning methods to create new products or drive business decisions About you: * Startup experience * A desire to be ...

The Tyche Project

Lead Data Scientist

Boston, MA · On-site

Past experience using predictive analytics, behavior modeling, and machine learning methods to create new products or drive business decisions About you: * Startup experience * A desire to be ...

Absentia Labs

Member of the Technical Staff

Boston, MA · Remote

Familiarity with machine learning workflows or biological datasets * Startup or early-stage company experience * Interest in translational medicine, toxicology, or computational drug development ...

Roberts Recruiting

Software Architect

Boston, MA · On-site

... systems that rely on machine learning is a strong plus. - Prior startup experience is a strong plus. - Excellent communication skills. - Experience impacting the technical direction and ...

Roberts Recruiting

Data Scientist

Cambridge, MA · On-site

We are a startup company with a plan to disrupt the clinical testing market. Our focus is on ... Design and deploy algorithms and machine learning systems backing product development. * Assist ...

1910

AI Research Scientist III

Boston, MA · On-site

... and Machine Learning solutions in biology and medicinal chemistry related to your modeling efforts * Ability to work effectively in a fast-paced startup environment with evolving projects and ...

1910

AI Research Scientist II

Boston, MA · On-site

... and Machine Learning solutions in biology and medicinal chemistry related to your modeling efforts * Ability to work effectively in a fast-paced startup environment with evolving projects and ...

1910

AI Research Scientist III

Boston, MA

... and Machine Learning solutions in biology and medicinal chemistry related to your modeling efforts * Ability to work effectively in a fast-paced startup environment with evolving projects and ...

1910

AI Research Scientist II

Boston, MA

... and Machine Learning solutions in biology and medicinal chemistry related to your modeling efforts * Ability to work effectively in a fast-paced startup environment with evolving projects and ...

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All JobsMachine Learning Startup JobsMachine Learning Startup Jobs in Boston, MA

Machine Learning Startup information

See Boston, MA salary details

$27.7K

$46.3K

$95.6K

How much do machine learning startup jobs pay per year?

As of Jun 24, 2026, the average yearly pay for machine learning startup in Boston, MA is $46,263.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,300.00 and $50,000.00 per year, depending on experience, location, and employer.

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

To succeed in a Machine Learning Startup, a strong background in computer science, statistics, and applied mathematics is essential, along with practical experience building and deploying machine learning models. Proficiency in tools such as Python, TensorFlow, PyTorch, and cloud-based platforms, as well as familiarity with data versioning and model deployment systems, is highly valuable. Adaptability, entrepreneurial thinking, and strong communication skills are crucial for thriving in the dynamic startup environment. These competencies enable effective product development, rapid iteration, and impactful collaboration within a fast-paced, resource-constrained setting.

What are the typical responsibilities and daily challenges when working at a Machine Learning Startup?

At a Machine Learning Startup, your daily tasks often include collecting and preprocessing data, training and validating models, collaborating with engineers to deploy solutions, and iterating rapidly based on feedback and performance metrics. You may also contribute to brainstorming sessions, product roadmapping, and customer discovery processes. Common challenges include working with limited labeled data, balancing research with production needs, and managing shifting priorities as the business pivots or scales. This dynamic environment provides a valuable opportunity to make a tangible impact, develop a broad skill set, and gain exposure to multiple aspects of both technology and entrepreneurship.

What is a Machine Learning Startup job?

A Machine Learning Startup job typically involves working in a fast-paced, early-stage company focused on developing and applying machine learning technologies. Employees may take on diverse responsibilities, including data collection, model development, algorithm optimization, and deployment. Since startups require adaptability, roles often blend research, engineering, and business-oriented problem-solving. These positions offer opportunities to work on cutting-edge innovations but may also demand long hours and rapid prototyping.

What are the most commonly searched types of Machine Learning Startup jobs in Boston, MA? The most popular types of Machine Learning Startup jobs in Boston, MA are:
What are popular job titles related to Machine Learning Startup jobs in Boston, MA? For Machine Learning Startup jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Startup jobs in Boston, MA look for? The top searched job categories for Machine Learning Startup jobs in Boston, MA are:
Machine Learning Startup jobs near you

Machine Learning Scientist I/II, Multi-Modal Scientific Reasonings

Lila Sciences

Cambridge, MA • On-site

$176K - $304K/yr

Full-time

Medical, Dental, Vision, Life

Posted 20 days ago

Job description

Your Impact at LILA
We're hiring a Machine Learning Scientist to advance multi-modal reasoning with vision-language models (VLMs) on real-world scientific data including, but not limited to: figures and plots, microscopy data from diverse sources. You'll design and build state-of-the-art methods to advance the state of Scientific Superintelligence.
What You'll Be Building
  • Lead research on multi-modal reasoning systems that interpret scientific data (images, plots, text, etc) using state-of-the-art and custom VLMs.
  • Design training, adaptation and test-time methods and strategies (e.g., instruction tuning, supervised learning, RLHF, RAG) for scientific understanding tasks.
  • Build datasets and benchmarks from real scientific artifacts (e.g., microscopy, spectra, protocols) to understand model performance.
  • Develop perception modules (e.g, OCR, table/structure recognition, plot parsing) for multi-modal data modalities.
  • Collaborate with domain scientists and engineers to scale research into production ready systems for scientific superintelligence.

What You'll Need to Succeed
  • Advanced degree in a relevant field (CS/AI, Applied Math/Stats, EE) or a physical-sciences discipline (Materials, Chemistry, Physics) with strong ML focus; or equivalent research/industry experience.
  • Track record in multi-modal ML or VLMs demonstrated via shipped systems, publications, or open-source.
  • Understanding of scientific QA/benchmarks and custom evaluation design.
  • Experience with multi-modal fine-tuning, document parsing & understanding, dataset curation and benchmarking.
  • Strong engineering skills centered on modern machine learning frameworks (e.g., PyTorch, Huggingface).
  • Clear communication and collaboration in cross-functional settings.

Bonus Points For
  • Experience with scientific data modalities in real-world laboratories such as microscopy images.
  • Publications in top ML/CV/NLP venues or tangible impact in applied industrial research.
  • Contributions to open-source multi-modal tooling, evaluation suites, or datasets.

Compensation
We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.
U.S. Benefits. Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.
International Benefits. Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.
Expected Base Salary Range
$176,000-$304,000 USD
About LILA
Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.
LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.
Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.
We're All In
Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.
A Note to Agencies
Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.

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