Staff Machine Learning Engineer

Our Accessibility Intelligence team pushes the state of the art for accessibility through applied research and development in risk modeling, artificial intelligence, and machine learning. As a Staff ML Engineer, you will play a pivotal role in owning, designing, implementing, and optimizing foundational machine learning algorithms and models which drive multiple products within our company. The Staff ML Engineer will be working closely with Platform Engineering, Product Engineering, and Product peers to help us solve digital accessibility at scale.

Our mission at AudioEye is to eradicate every barrier to digital access because we believe equal access to digital content is the right of every individual and the responsibility of every entity.

AudioEye is a team of passionate professionals dedicated to our ambitious goal of accessibility for all. Our mission guides us through every challenge and keeps our focus on our purpose – changing the way the world uses the internet forever.

How you’ll Contribute:

• Architect Production ML Systems: Design scalable and robust machine learning systems, ensuring efficient data pipelines, model training, evaluation, and deployment that meet production requirements
• Data Exploration and Preprocessing: Collaborate with data engineers to preprocess and transform large-scale datasets, ensuring data quality, feature extraction, and effective feature engineering
• Model Training and Evaluation: Create and implement robust methodologies for training, testing, and evaluating machine learning models, using appropriate metrics and validation techniques to ensure high-quality results
• Performance Optimization: Optimize machine learning models and algorithms to improve performance, scalability, and computational efficiency, considering factors such as memory utilization, runtime, and latency
• Leadership: Mentor and guide junior engineers, providing technical expertise, code reviews, and best practices in machine learning engineering
• Documentation and Reporting: Maintain comprehensive documentation of machine learning systems, algorithms, and experiments, and effectively communicate findings, insights, and recommendations to technical and non-technical audiences

Who you are:

• Education: A master's or Ph.D. degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Equivalent industry experience will also be considered
• Experience: 5+ years of industry experience working on production ML implementations
• Expertise in Machine Learning: Proven track record in designing and implementing machine learning algorithms, models, and systems, with expertise in areas such as deep learning, transfer learning, reinforcement learning, natural language processing, or computer vision
• Programming Skills: Expert-level proficiency with Python and familiarity with other programming languages such as R, or Java. Deep experience utilizing ML libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn
• Technical Experience: Extensive experience in data preprocessing, feature engineering, model training, hyperparameter tuning, and model evaluation. Familiarity with cloud platforms, distributed computing frameworks, AutoML, and machine learning operations is a plus
• Communication Skills: Excellent written and verbal communication skills, with the ability to effectively convey complex technical concepts to both technical and non-technical stakeholders

Our Values:

• Relentlessly Prioritize the Customer
• Own Outcomes
• Be Straightforward
• Act Now & Iterate
• Grit
• Decide with Data 
• Hire and Develop A Players
• Be Coachable
• Organize and Plan
• Expect and Embrace Change

Benefits and Perks:

• Work with a talented but humble team
• Competitive compensation and equity
• Weekly paid family meal
• 401k, medical, dental, and vision insurance
• Flexible and Generous PTO Policy: If you feel you need a break to recharge, we encourage you to take it!
• 15.5 company-paid holidays including Juneteenth, MLK Day and a 1-week company shut down
• To support remote work conditions, AudioEye provides each employee a one-time stipend of $300 

Salary: $190,000 - $230,000

We do not accept 3rd party solicitations. Staffing agencies please refrain from contact.

Equal Opportunity Employer: We embrace equal employment opportunity.

AudioEye is committed to a policy of equal employment opportunity for all applicants and employees. It is our policy that employees will not be subjected to unlawful discrimination on the basis of race, color, religion, sex, age, national origin or ancestry, physical or mental disability, veteran or military status, marital status, sexual orientation, political ideology and any other basis protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including but not limited to: recruitment, hiring, transfers, promotions, training, discipline, termination, compensation and benefits, performance appraisals, education, and social and recreational programs.