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Machine Learning Scientist
Inductive BioCarlsbad, California, United StatesMachine Operator
AtWorkCarlsbadLead AI / Machine Learning Engineer
The Walt Disney Company (Corporate)Burbank, Californie, États-UnisStaff Software Engineer - Machine Learning (MLOps)
CrunchbaseCalifornia, United StatesMachine Learning Engineer
CyberCodersCarlsbad, CA, US- Promoted
Remote Machine Learning Engineer - AI Trainer ($80-$120 per hour)
MercorOceanside, California, USSenior Machine Learning Engineer, Financial Crimes (Cash App)
SquareRemote, CA, USStaff Machine Learning Engineer
AngiCaliforniaSMT Machine Operator
Malone Workforce SolutionsVista, CaliforniaMachine Operator (1st Shift)
Suja Life LLCOceanside, CA, USOn-Device Machine Learning Optimization Engineer
ActalentCarlsbad, California, USA- psychiatrist (from $ 17,561 to $ 287,625 year)
- telecommute (from $ 122,400 to $ 246,000 year)
- government (from $ 76,045 to $ 221,936 year)
- waste management (from $ 39,520 to $ 219,050 year)
- clinic director (from $ 122,960 to $ 205,800 year)
- clinical psychologist (from $ 151,125 to $ 197,600 year)
- live in nanny (from $ 18,244 to $ 195,000 year)
- backend developer (from $ 114,375 to $ 195,000 year)
- aerospace (from $ 39,000 to $ 194,700 year)
- architect (from $ 105,625 to $ 193,500 year)
- Seattle, WA (from $ 43,388 to $ 197,250 year)
- Newport News, VA (from $ 31,688 to $ 185,040 year)
- Huntsville, AL (from $ 29,250 to $ 62,572 year)
- Beaumont, TX (from $ 26,666 to $ 61,602 year)
- New York, NY (from $ 30,225 to $ 59,540 year)
- Minneapolis, MN (from $ 35,100 to $ 55,064 year)
- Colorado Springs, CO (from $ 32,147 to $ 54,011 year)
- Wichita Falls, TX (from $ 32,173 to $ 53,469 year)
- Portland, OR (from $ 32,175 to $ 51,874 year)
- Corpus Christi, TX (from $ 25,350 to $ 50,394 year)
The average salary range is between $ 29,250 and $ 44,850 year , with the average salary hovering around $ 33,150 year .
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Machine Learning Scientist
Inductive BioCarlsbad, California, United States- Full-time
Drug discovery is a prediction problem. Scientists design molecules that they predict will be potent, safe, and readily absorbed into the body, but ultimately lab experiments must be run to know whether these predictions are accurate. Each one of these experiments can take weeks or months to run, and as a result it costs millions of dollars and takes years to design a molecule that is ready for testing in humans.
At Inductive Bio, we're using AI to build in silico models that can more accurately predict how molecules will behave in experiments. By predicting complex molecular properties directly from the molecular structure, our platform helps scientists make better decisions faster—ultimately bringing safer, higher-quality medicines to patients more quickly. We are enabled by a unique and growing proprietary data set, and we are already applying our methods to dozens of active drug discovery programs. Backed by leading investors at the intersection of biotechnology and technology and advised by renowned experts in drug discovery, we are growing rapidly and poised to make a major impact in drug discovery.
We are seeking Machine Learning Scientists to join our talented, ambitious, and kind team. You'll have the opportunity to innovate on methods, work with leading drug discovery scientists, and apply your work immediately to drug programs at some of the most innovative biotechs in the world. As an early machine learning scientist at a rapidly-growing startup, you’ll have the opportunity for high impact while learning and growing with the company.
What you’ll do :
Develop machine learning models to predict molecular properties from chemical structures
Develop novel algorithms for generating ideas for new molecules
Build agents that can synthesize complex information from drug programs and apply that information strategically toward molecular optimization
Get your hands dirty by diving deep into our unique, proprietary dataset to iterate on modeling ideas and improve model performance
Collaborate closely with chemists and software engineers to integrate models into our software platform, which is used by drug discovery scientists across the industry
Build and optimize scalable infrastructure for model training, deployment, and monitoring
Engage directly with our scientific users, incorporating their feedback into the product
Contribute meaningfully to product strategy and company direction
Who you are :
You have 4+ years of experience as a Machine Learning Scientist, Machine Learning Engineer, Data Scientist, or similar role
You have expertise in machine learning fundamentals, deep learning architectures, and evaluation approaches
You are proficient in standard Python-based ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn)
You are comfortable writing high-quality, reusable code and productionizing models for serving in the cloud
You are excited to dive deep into the science and practice of drug discovery
You have exceptional written and oral communication skills
Working at Inductive
At Inductive Bio, we know that the people on the team are what make us great. We offer competitive salary and equity-based compensation; comprehensive healthcare benefits (including dental and vision); and the opportunity to grow along with a rapidly scaling company. We are a passionate, kind, and mature team. Working at a fast growing startup is not always a 9-5 job, but we believe that our employees should have full lives beyond their career.