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Lead Machine Learning Engineer
3 weeks ago
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Machine Learning Engineer Intern
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Staff Machine Learning Engineer
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Staff Engineer, Machine Learning
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Senior/Staff Machine Learning Engineer
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Senior Deep Learning Algorithm Engineer
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Deep Learning Test Development Engineer Architect
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Staff Computer Vision/Machine Learning Engineer
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Quality Control Technician
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SYSCO Jackson, United States Full timeCompany: · US0035 Sysco Eastern Wisconsin, LLCZip Code: · 53037Minimum Level of Education: · High School or EquivalentMinimum Years of Experience: · 3 YearsEmployment Type: · Full TimeTravel Percentage: · 0COMPENSATION INFORMATION: · The pay range provided is not indicative of ...
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Experienced/certified Service Technician
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CCTV Operator
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Research Engineer @3Frames Lab
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NVIDIA Jackson, United StatesLead Software Engineer, TensorRT Inference Workflows page is loaded · Lead Software Engineer, TensorRT Inference Workflows · Apply · locations · US, CA, Santa Clara · time type · Full time · posted on · Posted 7 Days Ago · job requisition id · JR · We are now looking f ...
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Full Stack Engineer
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Staff Software Engineer
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Senior Python Software Engineer, Security
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Sensoleak Jackson, United StatesWe are looking for a senior machine-learning expertwho will work closely with a cross-functional team of engineers, physicists, and data scientists to identify areas where machine learning can make a difference, to conceptualize and develop datasets using cutting edge, high throu ...
Machine Learning Engineer - Jackson, United States - Meliora Therapeutics
Description
Meliora Therapeutics, Inc.Machine Learning Engineer
Remote
Meliora is seeking talented machine learning engineers to play a key role in developing the core algorithmic engine of a next-generation biotechnology company.
Biotech is on the verge of a revolution.
Breakthroughs such as the advent of CRISPR and systems for fast and efficient multi-omic sequencing in combination with structural advances in machine learning are unleashing the ability to interrogate human biology in unprecedented ways.
A key initial goal of Meliora Therapeutics' computational engine is to develop a robust, multi-modal MOA atlas for cancer drugs.
This atlas will consist of 21st century phenotypic "molecular fingerprints" of different mechanisms of action, and will serve as a reference library that can be used to characterize new molecules of interest.
Our platform has already surfaced a number of interesting candidate drugs with promising laboratory validation and we are looking for world class talent to expand and deepen the capabilities of this advanced computational engine using the latest ML approaches, making an impact on cancer in the process.
The founding team includes CEO David Li (1st business hire at Benchling, GS, KKR, Penn Life Sciences and Management), Dr.
Jason Sheltzer (Faculty at Yale School of Medicine, Presidential Early Career Award, Forbes 30u30), Joan Smith (Sr.Staff engineer at Google, MIT Physics), and Zach Owen (Data Scientist Tech Lead at Verily, previous ML startup technical co-founder, MIT PhD).
We are backed by leading funds including BrightEdge, VillageGlobal, HOF Capital, Obvious and others.Machine learning team members play an important role in developing the core algorithmic engine of a next-generation biotechnology company, and so we are looking for people who delight in being multi-disciplinary, seek excellence at every turn, and have an unyielding desire to continuously learn and share knowledge.
If this sounds like you, we would love to speak with you.What you'll do
:
Bring your technical skills to bear on a critical problem in cancer treatment that results in 97% of cancer drugs failing their clinical trials
Develop, implement and validate novel, machine learning-driven methods of associating drugs and their properties with their true mechanism of action in cancer cells
Lead the development of large-scale machine learning algorithm training and evaluation pipelines
Grow, learn and contribute to cutting edge platform development that drives drug discovery.
Be a culture-setter by embodying the company's principles of truth-seeking, mutual respect, integrity, drive, and teamwork
Background and skills we are looking for
:
MS-level expertise in applied machine learning developed either through a formal degree or meaningful experience in performing similar work
Expertise in the implementation of production-ready advanced machine learning algorithms using TensorFlow, PyTorch, or Jax
Familiarity with and ability to develop large-scale machine learning systems and workflows including parallel training and evaluation pipelines
A solid grasp of the fundamentals of machine learning science including broad capability in probability, statistics, machine learning, and programming
Experience in solving deep technical challenges by helping to develop and validate novel methodologies
Expertise in genomics or cheminformatics isn't necessary to start with, but you will need to be comfortable building an extensive cross-disciplinary background as you go
Excellent communication skills to synthesize complex technical problems and solutions into content easily understandable by the scientific and leadership teams to facilitate critical decisions
Ability to be highly successful operating in a multidisciplinary environment and a willingness to collaborate across functional teams is essential
Bonus:
experience working with biological or *omics datasets and pipelines
What we offer
:
Highly competitive compensation with equity
Medical, dental, and vision insurance plans
The opportunity to have your career grow along with our company
Work focused on developing cutting-edge technical methodologies to directly create meaningful positive impact on human health
The freedom to develop your own methodologies and approaches in collaboration with our team to solve our most important challenges
The opportunity to work with a world-class interdisciplinary team with expertise spanning numerous fields in biology, computer science, and machine learning.
We learn from each other everyday and we're excited to continue learning as we growQuarterly US based travel for on-site retreats
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