Applied AI Engineer: Build Real-World AI for Fleet Ops

Axle Mobility; San Francisco (CA); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Competitive compensation + early-stage equity

Medical, dental, and vision insurance

Generous home-office budget

Frequent team meetups

Job summary

Axle Mobility is looking for an applied AI engineer to design and deploy AI-powered features in a fast-paced startup environment. You'll work on tasks such as speech-to-text systems and classification models, directly affecting the $160B fleet repair industry. This role offers a competitive compensation package along with health benefits and equity, while fostering a collaborative and innovative work culture.

Qualifications

• 2-5 years of applied AI/ML engineering experience in relevant settings.
• Strong programming skills in Python.
• Experience with noise in real-world datasets.

Responsibilities

• Design, train, and deploy AI-powered features.
• Integrate models into Axle's products with full-stack engineers.
• Monitor and tune real-world AI performance.

Skills

Applied AI/ML engineering experience

Strong Python skills

Experience with ML/NLP frameworks

Hands-on experience with speech-to-text systems

Comfortable with unstructured datasets

Collaboration and curiosity

Job description

Axle Mobility is looking for an applied AI engineer to design and deploy AI-powered features in a fast-paced startup environment. You'll work on tasks such as speech-to-text systems and classification models, directly affecting the $160B fleet repair industry. This role offers a competitive compensation package along with health benefits and equity, while fostering a collaborative and innovative work culture.