TITLE:  Software Engineer Principal – Machine Learning 

LOCATION:  Remote 

ANTICIPATED DURATION:  3 -6 month Contract to Perm

Position Purpose:
The Software Engineer Principal specializing in Machine Learning is responsible for joining a product team and contributing to the software design, algorithm design, and overall product lifecycle for a product that our users love. The engineering process is highly collaborative. In addition to pairing, Software Engineer Principals field questions from other product teams and encourage cross-team collaboration. They also play an active role working with 3rd party vendors as well as the open-source community.

Software Engineer Principals create foundational code elements that can be reused as well as architectural diagrams and other product-related documentation. They also define service level objectives for products. In addition, Software Engineer Principals may be involved in product configuration, performance tuning and testing as well as production monitoring.

As a Software Engineer Principal, you will be an extremely knowledgeable Engineer on the product team and are expected to build and grow the skillsets of the more junior engineers. There is also an expectation that the Software Engineer Principal will demonstrate expertise around modern software design and development.
 
Preferred Qualifications:

• 6-8 years of relevant work experience
• Expertise in ML development and ML ops lifecycle
• Experience working with multiple leading ML models
• Experience tracking key metrics for ML performance
• Experience with architectural patterns to employ AI models
• Performance tuning applications that leverage ML models
• Capable of understanding complicated systems quickly
• Experience in algorithms such as clustering, forecasting, anomaly detection, and neural networks.
• Experience in basic statistics and regression algorithms
• Experience in embeddings generation and utilization
• Experience in training machine learning models with extremely large datasets
• Experience with Data Analysis and Machine Learning Tools and Libraries like Jupyter Notebooks, Pandas, SciPy, Scikit-learn, Gensim, tensorflow, pytorch, etc.
• Experience with GPU acceleration (i.e. CUDA and cuDNN)
• Experience in Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML, and AutoML
• Experience in effective data engineering practices and big data platforms such as BigQuery, Data Store, etc
• Familiarity with Generative AI models and techniques to leverage them in multi-modal contexts

The annual salary range upon conversion for this position is $140,000 to 240,000 (dependent on factors including but not limited to client requirements, experience, statutory considerations, and location). Benefits available to full-time employees upon conversion include medical, dental, vision, disability, life insurance, 401k, bonus and stock. 

Synergis is proud to be an Equal Opportunity Employer. We value diversity and do not discriminate on the basis of race, color, ethnicity, national origin, religion, age, gender, gender identity, political affiliation, sexual orientation, marital status, disability, military/veteran status, or any other status protected by applicable law. 

Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state and local laws, including but not limited to the San Francisco Fair Chance Ordinance, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, and the California Fair Chance Act. 

For immediate consideration, please forward your resume to christy.cifreo@synergishr.com. If you require assistance or an accommodation in the application or employment process, please contact us at christy.cifreo@synergishr.com. 

Synergis is a workforce solutions partner serving thousands of businesses and job seekers nationwide. Learn more about Synergis at www.synergishr.com.