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Lila Sciences

Co-Op, Autonomous SEM

Cambridge, MA · On-site

The co-op will support SEM-based imaging workflows that help instruments identify useful regions ... Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup ...

The Tyche Project

Lead JavaScript Engineer

Boston, MA · On-site

They search keywords. We know key people. We are working with a Boston based "Internet-of-Things" startup, one of VentureBeat's 11 Startups You Should Know About from Y Combinator's 2015 Summer Demo ...

The Tyche Project

Lead JavaScript Engineer

Boston, MA · On-site

They search keywords. We know key people. We are working with a Boston based "Internet-of-Things" startup, one of VentureBeat's 11 Startups You Should Know About from Y Combinator's 2015 Summer Demo ...

The Tyche Project

Lead Python Engineer

Boston, MA · On-site

They search keywords. We know key people. We are working with a brand new travel startup a short walk from South Station to hire a Lead Python Engineer. Founded by travel industry veterans (KAYAK ...

The Tyche Project

Lead Python Engineer

Boston, MA · On-site

They search keywords. We know key people. We are working with a brand new travel startup a short walk from South Station to hire a Lead Python Engineer. Founded by travel industry veterans (KAYAK ...

The Tyche Project

Lead Data Scientist

Boston, MA · On-site

They search keywords. We know key people. We are working with a brand new travel startup a short walk from South Station to hire a Lead Data Scientist. Founded by travel industry veterans (KAYAK ...

The Tyche Project

Lead Data Scientist

Boston, MA · On-site

They search keywords. We know key people. We are working with a brand new travel startup a short walk from South Station to hire a Lead Data Scientist. Founded by travel industry veterans (KAYAK ...

The Tyche Project

Lead Front End Engineer

Boston, MA · On-site

They search keywords. We know key people. We are working with an early stage travel startup a short walk from South Station to hire a Lead Front End Engineer . Founded by travel industry veterans ...

Redfish Recruiting

Leverage emerging technologies in AI/ML, generative AI, and hybrid search to enhance product ... Startup DNA : Comfortable navigating ambiguity in a fast-paced environment with a hands-on, get-it ...

The Tyche Project

Lead Front End Engineer

Boston, MA · On-site

They search keywords. We know key people. We are working with an early stage travel startup a short walk from South Station to hire a Lead Front End Engineer . Founded by travel industry veterans ...

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How much do search startup jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for search startup in Massachusetts is $77.53, according to ZipRecruiter salary data. Most workers in this role earn between $66.92 and $89.28 per hour, depending on experience, location, and employer.

What is a search startup?

A Search Startup is a company or organization focused on developing new search technologies, platforms, or engines that help users find information online or within specific data sets. These startups typically innovate in areas like web search, enterprise search, AI-powered search, or niche-specific search solutions. They aim to improve how information is indexed, retrieved, and presented to users, often leveraging the latest advancements in machine learning and data analysis. Search Startups play a crucial role in shaping the future of information discovery and accessibility.

What are the key skills and qualifications needed to thrive as a search startup founder?

To thrive as a Search Startup Founder, you need strong expertise in search algorithms, product development, and business strategy, typically supported by a technical degree or relevant experience. Familiarity with search engine technologies (like Elasticsearch or Solr), cloud infrastructure, and data analytics tools is highly valuable. Exceptional leadership, resilience, and the ability to articulate a clear vision are vital soft skills in this role. These skills and qualities are crucial for building innovative products, attracting investment, and guiding a team through the challenges of a competitive technology landscape.

What are some common challenges faced when working at a search startup, and how can new hires prepare for them?

At a search startup, team members often face the challenge of rapidly iterating on algorithms and features to meet evolving user needs and market demands. The work environment is typically fast-paced, with cross-functional collaboration between engineers, data scientists, and product managers. New hires can prepare by brushing up on their problem-solving skills, staying adaptable, and being proactive in communication. Embracing a growth mindset and being open to feedback will help you thrive and contribute meaningfully in this dynamic setting.
Search Startup jobs near you
Infographic showing various Search Startup job openings in Massachusetts as of August 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Temporary. Highlights an 81% In-person, and 19% Remote job distribution, with an average salary of $161,270 per year, or $77.5 per hour.

Co-Op, Autonomous SEM

Cambridge, MA • On-site

Lila Sciences
See more jobs at Lila Sciencesexternal

Full-time

Re-posted 28 days ago

Job description

Your Impact at LILA
Lila Sciences is seeking a Co-Op, Autonomous SEM to join the Materials Science team within the Autonomous Science Platform. This co-op will contribute to autonomous SEM workflows that make characterization more consistent, high-throughput, and less dependent on manual operators. The work sits at the intersection of materials characterization, image analysis, and autonomous laboratory workflows. The co-op will support SEM-based imaging workflows that help instruments identify useful regions, evaluate image quality, adjust acquisition conditions, and generate datasets suitable for downstream analysis and ML training.
This is a hands-on opportunity for a student interested in building practical autonomy for scientific instruments-turning SEM from a manually driven characterization tool into a system that can navigate samples, make acquisition decisions, and produce richer datasets for materials discovery.
What You'll Be Building
  • Support development of autonomous SEM workflow using vendor APIs
  • Test navigation logic for locating particles, surfaces, and regions of interest.
  • Evaluate image quality using criteria such as focus, contrast, feature visibility, and sampling value.
  • Support experiments that connect imaging decisions to downstream analysis and ML training needs.
  • Document acquisition behavior, edge cases, and failure modes across sample types.
  • Collaborate with ML scientists, experimental scientists, and software partners on instrument-control requirements.
  • Help define practical guardrails for autonomous SEM operation, including when to capture, reposition, zoom, or adjust parameters.

What You'll Need to Succeed
  • Currently pursuing a PhD or have completed a PhD in Materials Science, Chemistry, Chemical Engineering, Physics, Applied Physics, Computer Science, or a related technical field.
  • Experience building automated scientific or laboratory workflows using Python.
  • Deep understanding of electron optics, electron-beam interaction with matter, column alignments, stigmation correction, and source dynamics
  • Familiarity with MCP servers, LLM-enabled workflows, or agentic control of scientific instruments.
  • Experience with closed-loop learning, active learning, Bayesian optimization, or reward-driven experimental workflows.
  • Ability to translate expert instrument operations into clear, testable, and well-documented workflow logic.

Bonus Points For
  • Experience with autonomous microscopy, self-driving labs, or agentic scientific workflows.
  • Experience with data analysis for scientific images, spectra, or microscopy datasets.
  • Experience with image segmentation, particle finding, feature detection, or morphology analysis.
  • Interest in building practical autonomy for scientific instruments across real sample types and workflows.

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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