Title: Machine Learning Engineer

Company: webAI

Location: Austin, TX; Remote

Type: Full-Time, Salaried Exempt

Experience: 3+ years

Education: Bachelor’s Degree, minimum

About Us:

webAI is a software company that is building a decentralized AI development platform. Our technology enables the development of powerful AI using limited amounts of data, challenging the underlying assumption that big data is the key to unlocking the full power of AI. webAI offers opportunities to join a dynamic and fast-growing team that fosters a fun and growth-oriented office culture.

We at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following:

Truth - Emphasizing transparency and honesty in every interaction and decision.
Ownership - Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients.
Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement.
Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others.

We are seeking a talented and experienced Machine Learning Engineer to join our team! As a Machine Learning Engineer at webAI, you garner experience developing and deploying ML models alongside our researchers to bolster our platform. An ideal candidate will have experience with both unstructured and structured data machine learning use-cases.

Responsibilities:

Research, design, implement, and fine-tune machine learning models, including deep learning architectures, to be included in or to advance our platform.
Compile/pre-process datasets for training purposes
Extract meaningful features from data through feature engineering to improve model performance
Extend and develop the organizations existing ML libraries and proprietary frameworks
Collaborate with R&D and systems software engineering teams
Promote and adhere to MLOps best practices within the organization
Ensure production intent code is properly documented and tested
Stay up to date on latest AI trends and research papers

Requirements and Skills:

Proven experience as a Machine Learning Engineer or similar role
Bachelor’s (Master’s preferred) in Computer Science, Machine Learning, Data Science, or a related field
Understanding of data structures, data modeling and software architecture
Deep knowledge of math, probability, statistics and algorithms
Ability to write robust code in Python (Rust, C/C++, Cuda, or MPS experience a plus)
Expertise in data preprocessing, feature engineering, and model evaluation technique
Experience working with Tensorflow and/or PyTorch along with scikit-learn, numpy, pandas, and opencv
Experience with cloud computing platforms and model deployment techniques using Docker containerization
Experience with MLOps tools like, MLFlow, KubeFlow, Airflow or similar
Passionate about learning
Strong verbal and written communication skills

Benefits:

Competitive salary.
Comprehensive health, dental, and vision benefits package.
$200/mos Health and Wellness Stipend
$400/year Continuing Education Credit
Flexible work week
Free parking, for in-office employees
Unlimited Approved PTO
Parental, Bereavement Leave Policy
Supplemental Life Insurance

webAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.

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Machine Learning Engineer