Senior AI/ML Engineer (Remote)
Role details
Job location
Tech stack
Job description
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Frontend: Typescript, React.js, Next.js
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Backend: Scala/Python/Node.js
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Infrastructure & CI/CD: Kubernetes, Docker, GitHub, ArgoCD
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Cloud: AWS, GCP
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Databases: PostgreSQL, MongoDB, DynamoDB, OpenSearch
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Data processing: Python, Spark, Kafka, Airflow, Pandas, Numpy
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ML libraries: PyTorch, Hugging Face, sci-kit-learn, Tensorflow, Keras
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ML algorithms: multi-modal LLMs, Diffusion Models, Recommender Systems, ANN
About the Role
We are looking for a highly motivated AI/Machine Learning Engineer, with a background in backend development. In this role, you'll work closely with a cross-functional team to drive product innovation and deliver high-impact results. The ideal candidate will have robust engineering experience, a proactive mindset, and a proven track record in product development. You will be expected to frequently collaborate with key stakeholders, including senior leadership, articulate technical concepts to non-technical audiences, and lead by example in a FAST-PACED, results-oriented environment.
This is a remote position open to candidates worldwide. Employment classification and engagement structure will be determined based on location, legal requirements, and mutual fit.
What you will do
- 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
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 & conditions
Perks and 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.
Our Commitment
At vidIQ, we dedicate ourselves to enabling creators of all kinds to succeed. We prioritize attracting diverse talent and fostering an environment that encourages collaboration, creativity, and personal growth. We are committed to building a company and a community where individuals thrive by being true to themselves and are inspired to do their best work every day.