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Software Development
Senior Machine Learning Engineer
@Trueml
[Hiring] Senior Machine Learning Engineer @Trueml
Apr 03, 2025 - Trueml is hiring a remote Senior Machine Learning Engineer. đź’¸ Salary: unspecified. đź“ŤLocation: USA.
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Role Description
You will join our Data and ML Engineering team, where we're building a data-driven culture and revolutionizing how we help our users. Our machine learning engineers develop and own mission-critical ML models that serve millions of customers daily through our platform.
We are seeking an exceptional Senior Machine Learning Engineer who combines deep ML expertise with strong data engineering fundamentals. In this role, you'll:
- Architect and implement our ML infrastructure
- Develop production-grade ML pipelines
- Design robust data ETL processes
- Maintain high-performance systems that power both real-time and batch decision-making at scale
The ideal candidate brings hands-on experience in productionizing ML models, optimizing data pipelines, and a proven track record of delivering large-scale ML solutions that drive measurable business impact.
Qualifications
- Bachelor's degree in Computer Science, Engineering, or related technical field; Master's degree preferred
- 5+ years of hands-on experience in machine learning engineering, with at least 3 years in data engineering-focused roles
- Deep understanding of database systems, ETL architecture, and data warehousing concepts
- Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn)
- Proven experience building and optimizing large-scale data infrastructure using AWS cloud services using tools such as Terraform, CDK, CloudFormation
- Advanced SQL skills and experience with NoSQL databases, with demonstrated expertise in big data technologies (e.g., Redshift, Databricks)
- Experience with Docker containerization; knowledge of orchestration platforms like Kubernetes is required
- Strong analytical and problem-solving skills, with proven ability to design scalable, efficient systems
- Track record of successful collaboration with data science teams and stakeholders
Requirements
- Experience with Data Lakes and Snowflake
- Experience with NoSQL databases such as DynamoDB
- Experience with streaming technology e.g. Kafka and event-based architectures
- Knowledge of emerging technologies and trends in machine learning engineering
- Familiarity with Domain-Driven Design principles
- Certification in relevant technologies or methodologies
Benefits
- Everything you need to work remotely
- Unlimited PTO
- Medical/dental/vision insurance
- 401k through Charles Schwab
- Flexible Spending Account, Limited FSA, and Health Savings Account- with an eligible health care package
- Company-paid short-term and long-term disability plus basic life insurance
- Family-friendly maternity and paternity leave
- Employee assistance program (EAP) via Claremont. Get free short-term counseling for mental health, free + discounted legal consultations, free financial consultations, access to work/life consultants, and more!
- PerkSpot discount program. PerkSpot offers exclusive discounts to 900+ merchants nationwide, and has exclusive discounts up to 60% on hotels worldwide
- Paid time off to do volunteer work in your community
- Access to the Wellness Coach app for you and 5 family members
Key Responsibilities
- Building ML Infrastructure: As the main architect, developer, and owner of the Machine Learning infrastructure in production, your role will be to design, architect and build a scalable and efficient infrastructure that serves our needs
- ML Pipeline Development: Understand each model, find solutions to scale them, and deploy the required pipeline for them
- Architecting Data Platform: Work closely with other Data Engineers to find the best solutions for building scalable data platform and supporting existing pipelines
- Feature Engineering: Create and maintain offline and online feature stores and develop required features for each model
- ML Infrastructure Development: Make a scalable, modern and efficient infrastructure for ML models
- Model Monitoring and Maintenance: Support and monitor models in production
- Data Strategy: Participate in data engineering team strategy decisions
- Collaboration: Help the data engineering team in making architectural and decision decisions that enable creating robust data and ML products, developing ETLs, and working closely with the Data Science team to scale their algorithms and deploy their models in production
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| đź“Ť | Be aware of the location restriction for this remote position: USA |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
Back to Remote jobs >
Software Development
Software Development
|
Salary
đź’¸
unspecified
|
Remote
Location
USA
|
|
Job Type
full-time
|
Posted
Apr 03, 2025
|
️
| đź“Ť | Be aware of the location restriction for this remote position: USA |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
