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At Pattern Bioscience, we’re tackling antibiotic resistance, one of the biggest public health challenges of our time.  We use machine learning and microfluidics to quickly recognize the bacteria causing an infection and to predict which drugs will cure the infection.

We are searching for a creative, data-driven, analytically minded Scientist to join our Assay Research team. This team solves a wide variety of problems, including developing our novel assay technology, developing novel sample prep solutions for different sample types, and working with internal and external collaborators to perform studies using Pattern’s system. You will work with other scientists and associate scientists from a diverse set of fields as well as with hardware engineers and our clinical team.

How You Will Contribute

• Ideate, plan, execute, and analyze experiments in a BSL-2 lab in support of solving challenging problems related to the development of an in vitro diagnostic biochemical assay for the identification and antibiotic susceptibility testing (ID/AST) of bacteria
• Discover or develop new techniques that increase scientific throughput and insights for the whole team
• Use data and analysis to support scientific decisions and to communicate to adjacent teams
• Collaborate with other multi-disciplinary teams (including Manufacturing, Clinical, Chemistry, and Engineering)

• Can plan and execute complex experiments
• Have strong data analysis skills
• Tell cohesive scientific stories through data and analysis
• Demonstrate the pursuit of excellence and expertise in your domain
• Embrace problems outside of our knowledge base
• Engage in collaborative and creative problem-solving
• Show a track record of solving complex problems

• Ph.D. in Physics, Biophysics, Physical Chemistry, Biomaterials, or related sciences; or equivalent experience
• 2+ years postdoctoral research or industry experience
• Experience with analytical and purification techniques and biochemical reactions
• Competency in analytical software (R, JMP, Python, etc.)
• A demonstrated track record of solving complex problems

Join us! We're excited for what you can bring to our team. Here are a few things we provide to make sure you have a great experience. Learn more about our team by visiting our website.

Benefits

* Health insurance

* 401k Matching

* Paid Time Off

* The opportunity to make a global impact

To fulfill our mission and build world-changing technology, we’ve put together a diverse, multi-disciplinary top-notch team, a culture of innovation, learning, adaptability, and excellence and environment where people love coming to work.

We value diversity on our teams. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, neurodiversity, status as a qualified individual with disability, protected veteran status, or any other characteristic protected by law. 

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.

Tenstorrent is looking for an experienced Machine Learning Field Application Engineer to support our growing customer base as they build Deep Learning models on Tenstorrent hardware. If you’re enthusiastic about Machine Learning, are a competent software engineer, and enjoy working with other people, this is your opportunity to be at the bleeding edge of AI processing. You’ll get exposure to a broad array of problem types from different industries and be at the forefront of our customer engagements.

Responsibilities

• Work with the customer-facing team to support clients with their ML models on Tenstorrent hardware
• Designing and developing demonstration machine learning and deep learning systems
• Running machine learning tests and experiments on behalf of customers
• Benchmarking models
• Implementing appropriate ML algorithms
• Select appropriate datasets and data representation methods
• Run machine learning tests and experiments
• Perform statistical analysis and fine-tuning using test results
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks
• Develop novel ML models and primitives that take advantage of Tenstorrent’s breakthrough architecture to deliver orders of magnitude performance & efficiency improvements

• Background in Electrical/Computer Engineering, Computer Science, Machine Intelligence, Engineering Science, or Math;
• Proven experience as a Machine Learning Engineer or similar role (a fleshed-out GitHub repo a plus)
• Experience with algorithms, data structures, and software development in Python and C/C++.
• Deep knowledge of math, probability, statistics and algorithms
• Experience in solving business problems with Machine Learning models
• Familiarity with and passion for any of the following -- machine learning, compilers, parallel programming, high-performance and massively parallel systems, processor and computer architecture -- is a plus

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Due to U.S. Export Control laws and regulations, Tenstorrent is required to ensure compliance with licensing regulations when transferring technology to nationals of certain countries that have been sanctioned by the U.S. government.

As this position will have direct and/or indirect access to information, systems, or technologies that are subject to U.S. Export Control laws and regulations, please note that citizenship/permanent residency information and/or documentation will be required and considered as Tenstorrent moves through the employment process.