The coach for every creator

Senior AI/ML Engineer

Machine Learning EngineerMachine Learning EngineerFull TimeRemoteTeam 51-200Since 2013H1B SponsorCompany Site LinkedIn

Location

California

Posted

127 days ago

Salary

$130K - $160K / year

Bachelor Degree6 yrs expExperience acceptedEnglishAirflowDockerDynamo DBKafkaKubernetesNo SQLPostgresPythonRDBMSSpark

Job Description

• Work closely with Product Managers/Senior Leadership to frame problems within the business context and deliver the highest impact to our users • Design, implement and ship new features with a high level of responsibility and OWNERSHIP • Implement scalable solutions to consistently serve a vast global user base • Help establish architecture based on technology and our needs • Build, train, and test Machine learning/AI solutions focusing on natural language processing, recommender systems, computer vision • Write well-crafted, well-tested, maintainable code to convert our ML models into working pipelines • Collaborate closely with Frontend, DevOps, and Data Engineering teams to deliver cohesive end-to-end solutions, align on technical decisions, and ensure smooth integration between system components • Participate in code-reviews to ensure code quality and distribute knowledge • Monitor and troubleshoot existing features and resolve any issues that arise

Job Requirements

6+ years of professional software engineering experience (preferably in Python)
3+ years of experience developing and delivering ML solutions into production
Product oriented mindset
Hands-on experience building and optimizing end-to-end data and machine learning pipelines, with a focus on LLM-based solutions
Engineering mindset, with a high degree of comfort in designing software and producing production-grade code
Proactive, results-oriented self-starter with a proven ability to drive growth and innovation in dynamic environments.
Ability to work with modern data integration and analytics tools
Experience with AI-dev tools (e.g. GitHub Co-Pilot, Cursor)
Ability to turn ML paper into working code
Nice to have B.S., M.S. or PhD in Computer Science or related technical field
Developer-level experience with Kubernetes and Docker
Experience with data processing technologies (e.g. Spark, Kafka, Airflow)
Experience working with RDBMS and NoSQL data scores (PostgreSQL, DynamoDB and alike)
Experience in product management

Benefits

Work Remotely: Embrace the freedom to choose your ideal workspace anywhere in the world.
Flexible Time Off: We support a flexible vacation policy allowing you to take time off when you need to recharge.
Communication Stipend: Enjoy a monthly stipend to cover your phone and internet expenses, helping you stay connected effortlessly.
Global Impact: Join our diverse team that’s shaping the future of the creator economy across the globe.
Competitive Compensation: vidIQ believes in offering competitive compensation that reflects your skills, experience, and contributions. We ensure fairness through internal equity and geo-location based pay, with the upper range reserved for individuals demonstrating exceptional job knowledge and skills.