Senior Machine Learning Engineer
Senior Machine Learning Engineer
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$ 173000 - 230000
1 Vacancy
Job Description
About The Role
As a Senior Machine Learning Engineer at Traceable by Harness you will be instrumental in transforming ML models from prototype to production at scale. You will work closely with data scientists MLOps engineers and product teams to deploy robust highperforming ML solutions. This role requires a blend of engineering MLOps and data science skills to streamline model deployment and ensure continuous reliable operations in the production environments.
Responsibilities
- Model Productization: Collaborate with data scientists to convert ML models from prototypes to scalable productionready solutions. Optimize models for performance scalability and resource efficiency.
- Integration and Deployment: Develop and maintain enablement pipelines for continuous integration and deployment of ML models ensuring smooth transitions from development to production.
- Scalability and Optimization: Implement distributed systems and leverage cloudbased architectures (e.g. AWS GCP) to scale ML models and optimize for low latency and high availability.
- Model Monitoring and Maintenance: Set up monitoring systems to track model performance in production detect data drift and trigger automated retraining when needed.
- Innovation and Tooling: Evaluate and integrate new tools frameworks and libraries that can improve model deployment speed and robustness.
- Documentation and Knowledge Sharing: Document processes maintain wellstructured codebases promote best practices in ML engineering and lead internal knowledgesharing sessions to foster a culture of continuous improvement and technical excellence.
Qualifications
- Bachelors or Masters degree in Computer Science Machine Learning Engineering or a related field.
- 5 years in machine learning engineering or software engineering with significant ML focus including experience in deploying ML models in production.
- Proficiency in Python and familiarity with ML libraries (e.g. TensorFlow PyTorch ScikitLearn).
- Experience with CI/CD for ML containerization (Docker Kubernetes) and workflow orchestration tools (e.g. Airflow MLflow).
- Strong knowledge of cloud platforms (AWS or GCP) including managed ML services (SageMaker Vertex AI).
- Familiarity with distributed computing frameworks (e.g. Spark Dask) and data pipelines.
- Strong problemsolving skills with proven ability to troubleshoot and optimize ML systems in production.
- Excellent communication and teamwork skills with experience working in crossfunctional environments.
- Ability to thrive in a fastpaced evolving environment and rapidly adopt new tools and technologies.
NicetoHaves
- Experience with API security or cybersecurity applications.
- Knowledge of monitoring tools like Prometheus Grafana or custom solutions for model drift detection.
- Familiarity with feature stores and model versioning.
Location: US Remote
What you will have at Harness
- Competitive salary
- Comprehensive healthcare benefits
- Flexible Spending Account (FSA)
- Employee Assistance Program (EAP)
- Flexible Time Off and Parental Leave
- Quarterly Harness TGIFOff / 4 days
- Monthly quarterly and annual social and teambuilding events
- Recharge & Reset Program
- Monthly internet reimbursement
- Commuter benefits
The anticipated base salary range for this position is $173000 $230000 annually. Salary is determined by a combination of factors including location level relevant experience and skills. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. The compensation package for this position also includes a commission/variable component which is based on performance plus equity and benefits. More details about our company benefits can be found at the following link: valid authorization to work in the U.S. is required
Harness in the news:
- Harness Grabs a $150m Line of Credit
- Welcome Split!
- SF Business TimesFastestGrowing Private Companies in the Bay Area
- Forbes 2024 Americas Best Startup Employers
- SF Business Times 2024 Fastest Growing Private Companies Awards
- Fast CoBest Workplaces for Innovators
All qualified applicants will receive consideration for employment without regard to race color religion sex or national origin.
Note on Fraudulent Recruiting/Offers
We have become aware that there may be fraudulent recruiting attempts being made by people posing as representatives of Harness. These scams may involve fake job postings unsolicited emails or messages claiming to be from our recruiters or hiring managers.
Please note we do not ask for sensitive or financial information via chat text or social media and any email communications will come from the domain @. Additionally Harness will never ask for any payment fee to be paid or purchases to be made by a job applicant. All applicants are encouraged to apply directly to our open jobs via our website. Interviews are generally conducted via Zoom video conference unless the candidate requests other accommodations.
If you believe that you have been the target of an interview/offer scam by someone posing as a representative of Harness please do not provide any personal or financial information and contact us immediately at. You can also find additional information about this type of scam and report any fraudulent employment offers via the Federal Trade Commissions website or you can contact your local law enforcement agency.
Required Experience:
Senior IC
Employment Type
Full-Time
