The Company

Flagship Labs 110 Inc. (FL110) is a privately held, early-stage technology company developing a fully integrated, end-to-end platform to enable next generation proteomics.

Our platform integrates groundbreaking innovations in bioengineering, machine learning, and custom microelectronics to offer a level of precision and insight never before achieved. By empowering researchers to explore proteins in unprecedented detail, we are transforming the way biology is understood and applied.

FL110 is backed by Flagship Pioneering, which brings the courage, long-term vision, and resources needed to realize unreasonable results. At FL110, we are uniquely cross-functional and collaborative. We are actively reimagining the way teams work together and communicate. Therefore, we seek individuals with an inclusive mindset and a diversity of thought. Our teams thrive in unstructured and creative environments. All voices are heard because we know that experience comes in many forms, skills are transferable, and passion goes a long way.

If this sounds like an environment you’d love to work in, even if you only have some of the experience listed below, please apply.

Position Summary

Be part of the engineering team crafting next-generation hardware to explore proteins in unprecedented detail, through sophisticated algorithms. We are looking for an algorithm engineer with a solid understanding of signal processing, statistical modeling and algorithm development for embedded systems. This is a key position at a focal point of hardware/software integration. Starting from early in the product lifecycle, this engineer will analyze sensor data, design algorithms to preprocess data, extract features and prototype algorithms to enable expected user interactions. Your experience with designing algorithms to process time series sensor data and extract features that can enable user interactions along with rapid prototyping skills to show proof of concept and on-device implementation would be essential.

Key Responsibilities

• Design, develop, and optimize ML algorithms for signal processing applications.
• Implement and test signal processing algorithms and frameworks.
• Collaborate with cross-functional teams to understand requirements and translate them into technical specifications.
• Conduct data analysis and visualization to extract meaningful insights from signal data.
• Integrate ML models into existing software systems and workflows.
• Evaluate model performance and perform iterative improvements based on feedback and validation results.
• Create, maintain, and update documents for all aspects of the development process as well as contributing to generating intellectual property

Basic Qualifications

• Bachelor’s, Master’s, or PhD degree in Computer Science, Statistics, Bioinformatics, Electrical Engineering, or a related field.
• Strong background in signal processing techniques and tools.
• Hands-on experience with applying signal processing and signal filtering techniques to 1D/2D time-varying data
• Proficiency in machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with programming languages such as Python, C++, or MATLAB.
• Familiarity with digital signal processing (DSP) tools and methodologies.
• Proven experience in data analysis and practical application of ML models.
• A knack for iterative process optimization and not letting perfection be the enemy of progress
• Ability to assess pain points, and identify and communicate solutions very efficiently
• Excellent communication skills and the ability to work both independently and in a team environment.

Nice-to-haves

• Familiarity with cloud computing platforms (e.g., AWS, Google Cloud)
• Rapid prototyping experience with embedded systems
• Publications or contributions to the academia and industry in ML or signal processing.
• Experience with and understanding of high-throughput proteomics technologies

About Flagship

Flagship Pioneering is a bioplatform innovation company that invents and builds platform companies, each with the potential for multiple products that transform human health or sustainability. Since its launch in 2000, Flagship has originated and fostered more than 100 scientific ventures, resulting in generation of over 500 patents, initiation of over 50 clinical trials for novel therapeutic agents and an aggregate value of more than $90 billion. Many of the companies Flagship has founded 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.

Flagship Pioneering 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.

At Flagship, we recognize there is no perfect candidate. If you have some of the experience listed above but not all, please apply anyway. Experience comes in many forms, skills are transferable, and passion goes a long way. We are dedicated to building diverse and inclusive teams and look forward to learning more about your unique background.

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.