Improve customers' lives by making healthcare work better.

AI Engineer III

AI EngineerMachine Learning EngineerFull TimeRemoteTeam 1,001-5,000Since 1945H1B SponsorCompany Site LinkedIn

Location

Alaska + 26 more

Posted

79 days ago

Salary

$115.7K - $196.7K / year

Bachelor Degree3 yrs expExperience acceptedEnglishAzureCaffeCloudMicroservicesNumpyPandasPythonPy TorchReactScikit LearnTensorflow

Job Description

• Develop comprehensive systems and frameworks for AI applications and products. • Construct prototypes and minimum viable products to validate AI/ML solutions before committing substantial resources. • Develop, refine, and productionize AI systems using cloud resources such as Azure OpenAI, Azure ML, and Cognitive Services. • Contribute to the creation of robust data pipelines for model evolution and production systems. • Develop specifications for low latency APIs and services necessary to deploy AI models and incorporate them into applications. • Supervise and sustain AI systems in production to guarantee consistent model accuracy and reliability. • Actively participate in a team that exercises principled, agile-like development practices. • Create and maintain thorough documentation that is consistent with team procedures, corporate policies, and expectations. • Ensure peer review on all assigned work, as well as conduct peer reviews over the work of others as requested. • Guide junior AI engineers on AI/ML and industry best practices and methodologies. • Keep abreast of new tools and concepts through reading documentation or literature and actively practicing skills development. • Support and participate in meetings with external stakeholders.

Job Requirements

Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related field, or 2+ years of experience in a related, professional IT/analytics position.
Minimum of 3 years of industry experience in developing, deploying, and maintaining AI or ML systems.
Up to two years of industry experience may be substituted with an AI centered Master’s/PhD or AI Engineering certifications.
At least 4 years of experience in developing deep learning models using TensorFlow, PyTorch, MLX, JAX, or other modern deep learning frameworks.
Previous experience with older libraries like Theano or Caffe is also accepted. (May supplement with graduate level education or research experience).
Knowledge of and experience in implementing ethical AI practices, with at least 2 years spent working on projects that require explainable AI, fairness, and bias mitigation.
Minimum of 3 years of proficiency in utilizing advanced prompt engineering techniques like General Knowledge Prompting and ReAct.
Adept at using libraries like LangChain or OpenPrompt for complex projects.
Possess the capability to mitigate prompt injection attacks and use tools like Guardrails or PromptInject for securing prompt engineering pipelines.
Minimum of 3 years of experience in successfully productionizing AI models, including constructing scalable data pipelines and establishing robust monitoring systems.
3 or more years working within Agile-like teams and environments.
Experience developing deep learning architectures such as CNNs, transformers, GANs, LSTMs, GNNs, Autoencoders, Diffusion Models, and Neural Ordinary Differential Equations (NODEs).
Proficiency in debugging AI systems and enhancing performance through hyperparameter tuning and similar techniques.
Proven experience in productionizing models by constructing scalable data pipelines, low-latency services, and robust monitoring.
Familiarity with software design patterns, microservices, distributed computing, container orchestration, and other relevant architectures.
Proficient software engineering skills as well as skills building secure, stable software systems at scale.
Proficiency in developing and optimizing ML solutions using languages like Python, and libraries such as NumPy, Pandas, Matplotlib and scikit-learn.
Familiarity working with traditional ML lifecycles.
Familiarity with building minimal interfaces to interact with AI products, e.g., Streamlit or Shiny.
Familiarity with ethical AI practices including explainable AI, fairness, and mitigation of bias/hallucinations.
Strong communication, collaboration, and mentorship skills.
Growing ability to articulate the technical details and tradeoffs of AI solutions to non-technical stakeholders in a clear and concise manner.

Benefits

Medical, vision, and dental coverage with low employee premiums.
Voluntary benefit offerings, including pet insurance for paw parents.
Life and disability insurance.
Retirement programs, including a 401K employer match and, believe it or not, a pension plan that is vested after 3 years of service.
Wellness incentives with a wide range of mental well-being resources for you and your dependents, including counseling services, stress management programs, and mindfulness programs, just to name a few.
Generous paid time off to reenergize.
Looking for continuing education? We have tuition assistance for both undergraduate and graduate degrees.
Employee recognition program to celebrate anniversaries, team accomplishments, and more.
For our hybrid employees, our on-campus model provides flexibility to create your own routine with access to on-site resources, networking opportunities, and team engagement.
Commuter perks make your trip to work less impactful on the environment and your wallet.
Free convenient on-site parking.
Subsidized on-campus cafes make lunchtime connections with colleagues fun and affordable.
Participate in engaging on-site activities such as health and wellness events, coffee connects, disaster preparedness fairs and more.
Our complementary fitness & well-being center offers both in-person and virtual workouts and nutritional counseling.
Need a brain break? Challenge someone to a game of shuffleboard or ping pong while on campus.