Traackr is a global SaaS technology company providing a data-driven influencer marketing platform that marketers use to optimize investments, streamline campaigns, and scale programs. Our customers range from some of the world’s largest companies in the beauty and personal care space to digitally native indie brands, which have all made influencer management and engagement a critical practice of their marketing and advertising programs. We are a remote-first company, and for the folks that like to meet in person, we have offices in San Francisco, New York, Boston, Paris, and London. We operate on a culture of mutual respect, with core value pillars including:

Trust. We earn the trust of our team, customers, creators, and partners through transparency, predictability, and integrity.

Diversity. Bringing diverse perspectives to the table results in stronger outcomes. All are welcome.

Value. Through our words and actions, we strive to create tangible value for our customers and peers. We only succeed when our community succeeds.

Ownership. We lead with action. We take pride in solving the hardest challenges and feel accountable for our commitments.

Mutual success. We share goals with each other and with our clients. Alignment, collaboration, and empathy are the cornerstones of our success.

This position is 100% remote, with the understanding that occasional in-person attendance may be required for trainings, meetings, and team gatherings, as determined by your manager.

We are looking for a Senior AI Engineer with 4-7 years of experience to design, build, and scale AI-powered systems and data infrastructure. This role combines advanced data engineering with production-grade machine learning, enabling the delivery of intelligent, data-driven products.

As a senior member of the team, you will take ownership of key AI and data initiatives, collaborate cross-functionally with Product Managers, Data Scientists, and Engineers, and help drive best practices in both AI/ML engineering and data platform development.

Responsibilities:

Design, build, and deploy scalable machine learning and AI systems in production environments
Collaborate with Product Managers, Data Scientists and Engineers to lead the implementation of models and integrate them into data pipelines and agentic applications
Lead model performance monitoring, retraining workflows, and continuous improvement
Lead the implementation of data preprocessing and feature engineering pipelines for ML use cases
Lead to experimentation and testing of AI models to improve accuracy and performance
Develop, maintain, and optimize scalable data pipelines for analytics and machine learning workloads
Ensure data reliability, quality, and performance across data systems
Implement and maintain data ingestion pipelines from various internal and external sources
Build and improve internal tools that support data operations and data quality
Monitor and troubleshoot data pipelines to ensure consistent and timely delivery
Contribute to improving platform efficiency and scalability
Participate in code reviews and follow best practices in data and ML engineering
Document data pipelines, ML workflows, and system architecture
Contribute to evolving data and AI engineering best practices
Stay current with emerging tools, frameworks, and trends in AI, ML, and data engineering

Requirements:

4-7 years of experience in AI Engineering, Machine Learning Engineering, or Data Engineering
Strong programming skills in Python, Java and SQL
Proven experience designing and building production-grade ML systems and data pipelines
Experience with Databricks, Apache Spark, or similar distributed data processing frameworks
Strong understanding of machine learning lifecycle (training, deployment, monitoring, retraining)
Experience with cloud platforms (AWS, Azure, or GCP)
Solid knowledge of data architecture, data modeling, and data warehousing concepts
Experience with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
Familiarity with MLOps practices and tools (e.g., MLflow, Airflow, CI/CD pipelines)
Experience with version control (Git) and CICD development workflows
Strong problem-solving, communication, and cross-functional collaboration skills
Experience with LLMs, NLP, or generative AI applications
Experience building end-to-end AI products or data-driven platforms
Familiarity with real-time or streaming data pipelines
Experience with cost optimization and performance tuning in Databricks
Exposure to orchestration tools (Airflow, Dagster, etc.)
Experience mentoring or onboarding junior team members

Benefits

Competitive Salary
Remote Work Options with Hybrid Flexibility and Home Office Set-Up Stipend
Coworking Office Subscription for Collaborative Spaces
Health, Dental, and Life Insurance Coverage*
Open Vacation Policy and Flexible Holiday Schedule to Suit Your Needs
Paid Parental Leave to Support Quality Time with Your Loved Ones
Career Development, including Internal and External Training Opportunities

Traackr employs individuals in multiple US states and countries. We use market benchmark data and geographic zones to determine our salary ranges. Your zone's specific pay range is dependent on your home location. We encourage you to discuss your zone-specific pay range with your Traackr recruiter for more details.

Benefit programs vary by country/state of residency, are subject to eligibility requirements, and may be modified from time to time. Ask for more details about the benefits in your specific region.

Traackr is an Equal Employment Opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other legally protected characteristics. All your information will be kept confidential in accordance with EEO guidelines.

Unsolicited resumes
Traackr does not accept unsolicited resumes/CVs from headhunters or recruiting agencies sent directly to Traackr employees or through our website. Traackr will not pay any fees to any third-party agency or company unless there is a signed agreement with Traackr.

Privacy
Traackr, Inc. has published a Privacy Notice, including CCAP for California and GDPR policies for its UK and European Union subsidiaries, accessible at https://www.traackr.com/privacy-policy.

All questions, comments, and requests regarding data processing at Traackr should be addressed to HR@traackr.com.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Traackr AI Jobs

Latest AI Jobs at Traackr

Senior AI Engineer