Company Summary Flagship Labs 97 Inc. (FL97) is a privately held, early-stage technology company pioneering the application of artificial intelligence to transform every aspect of the scientific method. FL97 is backed by Flagship Pioneering, which brings the courage, long-term vision, and resources needed to realize unreasonable results. Join our mission-driven team and contribute to the future of science. Our Life Sciences effort is leveraging AI and high-throughput automation for valuable therapeutic discovery and development across biological modalities. At FL97, 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. The Role FL97 is seeking a dedicated and skilled (Senior) Machine Learning Engineer, Biomolecule Design to join our team. Leveling is flexible based on experience. This role will focus on MLOps for training in large scale ML models of Protein, RNA and DNA. You will be part of a dynamic, cross-functional team responsible for developing and deploying machine learning models for sequence design. Working closely with biologists, bioinformaticians, software developers, and automation engineers, you will contribute to the development of ML models for a range of therapeutic applications. The ideal candidate has a strong background in machine learning, as well as either experience in biotech industry or a record of scientific achievement, with a focus on MLOps, model training, and deployment. Responsibilities include: <ul><li>Developing, training, and deploying machine learning models for Protein/RNA/DNA sequence design.</li><li>Implementing MLOps practices to streamline the model development and deployment process.</li><li>Collaborating with cross-functional teams to integrate ML models into the data pipelines for our labs.</li><li>Gathering and pre-processing public datasets with bioinformatics tools to pre-train ML models.</li><li>Implementing rigorous testing, documentation, and model benchmarking.</li></ul> Qualifications: <ul><li>Master's degree in computer science, computational biology, physics, or other quantitative disciplines</li><li>Experience with MLOps practices and tools including version control, automated testing, and CI/CD</li><li>Experience in at least one ML framework (PyTorch/TensorFlow/Jax) and robust experience in the Python data science ecosystem.</li><li>Experience with large language models (e.g. autoregressive LLMs) for biological sequences is a plus.</li><li>Familiarity with bioinformatics tools and databases for pre-processing and analyzing biological sequence data.</li></ul> Working at FL97, you would have access to advanced technology in the areas of: <ul><li>AI experimental design and simulation</li><li>Automated liquid handling and instrumentation</li><li>Generative molecular design</li></ul> More About Flagship Pioneering Flagship Pioneering is a platform 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 more than $90 billion in aggregate value. 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 and our ecosystem companies are 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.

The Company FL105 is a privately held, early-stage company pioneering the use of artificial intelligence to transform mental health paradigms and fundamentally augment mental wellbeing. We are creating a world where individuals and communities are empowered to preemptively identify and tackle psychological challenges and address mental health concerns. FL105 is backed by Flagship Pioneering, an innovation enterprise that conceives, creates, resources, and builds companies that invent breakthrough technologies to transform health care, agriculture, and sustainability. Flagship has created over 100 groundbreaking companies since 2000, including Moderna. The Role FL105 seeking a talented Machine Learning Engineer. The successful candidate will develop and apply machine learning (ML) to create foundational psychological tools. This position is ideal for someone with broad expertise in machine learning, deep learning, and computational sciences who is looking to join a very dynamic and innovative environment and pioneer the next frontier of innovation, application, and human-computer interactions enabled by generative models. You will build technologies that enable others to maximize their potential. Working at FL105, you will be able to openly collaborate with Pioneering Intelligence, the AI/ML research arm of Flagship Pioneering. You will have the opportunity to work with world-class machine learning scientists and engineers who work on cutting-edge AI research in generative modeling and large language models. Key Responsibilities: <ul><li>Develop advanced ML tools that capture and recapitulate psychological phenomena.</li><li>Develop and prototype LLM-based multi-agent systems with coordinated behavior.</li><li>Develop an optimized data pipeline to facilitate development, scalability, and integration with a user-facing product. </li><li>Experiment with techniques to augment the performance of the platform. </li><li>Collaborate closely with other members of the team to enhance platform KPIs.</li><li>Collaborate closely with software developers to integrate platform with user-facing product.</li><li>Communicate findings to a multi-disciplinary audience.</li></ul> Qualifications: <ul><li>Master's degree in any computational field (e.g., machine learning, computer science, applied math, neuroscience, computational biology, physics, etc.)</li><li>3+ years industry experience</li><li>Understanding of data structures and software architectures, as well as experience with MLOps best practices, version control, and project management</li><li>Fluency in Python and standard ML tools and libraries (e.g. PyTorch, TensorFlow, Jax, sklearn)</li><li>Motivated and team oriented, with an ability to thrive in a multidisciplinary environment</li><li>Excellent communication and presentation skills</li><li>Must be able to think independently and work collaboratively</li></ul> Preferred experience <ul><li>Post-Phd/MSc work experience is an advantage but not a requirement.</li><li>Familiarity with common software development tools and best practices: Git, cloud/cluster computing, UNIX environments, shell scripting.</li></ul> 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 more than $90 billion in aggregate value. 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 and our ecosystem companies are 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.

(Senior) Machine Learning Engineer (Large Language Models)Location: Hybrid 3 days a week onsite in Cambridge, Massachusetts, USA DeepRec.ai seeks a dedicated Machine Learning Engineer to join our client's innovative team in Cambridge, Massachusetts. This is the chance to join a mission driven fast growing and well funded startup on a mission to to transform mental health and well-being with AI. This is the chance to work with a world-class ML team who work on cutting-edge AI research in generative modeling and large language models. Required Skills: 3+ years industry experienceCoding experience with Large Language ModelsHands-on experience implementing, deploying, evaluating, fine-tuning and hyperparameter- tuning deep learning models at scale Please apply for more details, we look forward to hearing from you and sharing more details on this opportunity!

Company Summary Flagship Labs 97 Inc. (FL97) is a privately held, early-stage technology company pioneering the application of artificial intelligence to transform every aspect of the scientific method. FL97 is backed by Flagship Pioneering, which brings the courage, long-term vision, and resources needed to realize unreasonable results. Join our mission-driven team and contribute to the future of science. Our Life Sciences effort is leveraging AI and high-throughput automation for valuable therapeutic discovery and development across biological modalities. At FL97, 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. The Role FL97 is seeking a dedicated and skilled (Senior) Machine Learning Engineer, Biomolecule Design to join our team. Leveling is flexible based on experience. This role will focus on MLOps for training in large scale ML models of Protein, RNA and DNA. You will be part of a dynamic, cross-functional team responsible for developing and deploying machine learning models for sequence design. Working closely with biologists, bioinformaticians, software developers, and automation engineers, you will contribute to the development of ML models for a range of therapeutic applications. The ideal candidate has a strong background in machine learning, as well as either experience in biotech industry or a record of scientific achievement, with a focus on MLOps, model training, and deployment. Responsibilities include: <ul><li>Developing, training, and deploying machine learning models for Protein/RNA/DNA sequence design.</li><li>Implementing MLOps practices to streamline the model development and deployment process.</li><li>Collaborating with cross-functional teams to integrate ML models into the data pipelines for our labs.</li><li>Gathering and pre-processing public datasets with bioinformatics tools to pre-train ML models.</li><li>Implementing rigorous testing, documentation, and model benchmarking.</li></ul> Qualifications: <ul><li>Master's degree in computer science, computational biology, physics, or other quantitative disciplines</li><li>Experience with MLOps practices and tools including version control, automated testing, and CI/CD</li><li>Experience in at least one ML framework (PyTorch/TensorFlow/Jax) and robust experience in the Python data science ecosystem.</li><li>Experience with large language models (e.g. autoregressive LLMs) for biological sequences is a plus.</li><li>Familiarity with bioinformatics tools and databases for pre-processing and analyzing biological sequence data.</li></ul> Working at FL97, you would have access to advanced technology in the areas of: <ul><li>AI experimental design and simulation</li><li>Automated liquid handling and instrumentation</li><li>Generative molecular design</li></ul> More About Flagship Pioneering Flagship Pioneering is a biotechnology 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 more than $90 billion in aggregate value. 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 and our ecosystem companies are 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.

Machine Learning Engineer Jobs in Cambridge, MA

Principal Machine Learning Engineer
October 2, 2024

Senior Machine Learning Engineer Biomolecule Design
September 25, 2024

Senior Machine Learning Engineer
September 23, 2024

Senior Machine Learning Engineer
September 17, 2024

Senior Machine Learning Engineer
September 12, 2024

Senior Machine Learning Engineer Biomolecule Design
September 11, 2024

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Machine Learning Engineer Jobs in Cambridge, MA

Principal Machine Learning EngineerOctober 2, 2024

Senior Machine Learning Engineer Biomolecule DesignSeptember 25, 2024

Senior Machine Learning EngineerSeptember 23, 2024

Senior Machine Learning EngineerSeptember 17, 2024

Senior Machine Learning EngineerSeptember 12, 2024

Senior Machine Learning Engineer Biomolecule DesignSeptember 11, 2024