# Mid-Level Machine Learning Engineer Source: https://realanalystjobs.com/job/mid-level-machine-learning-engineer-clera-73574006 Mid-Level Machine Learning Engineer at Clera, an on-site role based in San Francisco, California, USA. Experience level: 3 Years. Pay stated in the posting: $140K. Posted on 14 November 2026, read from Clera's own careers page (Ashby), which RealAnalystJobs re-checks daily and removes the role when it closes. Updated 15 November 2026. ## Key facts - Company: [Clera](https://realanalystjobs.com/companies/clera) - Location: San Francisco, California, USA - Work mode: On-site - Pay stated in the posting: $140K - Posted: Nov 14, 2026 - Employment type: Full time - Experience level: 3 Years - Source: Clera's careers page (Ashby), re-checked daily Skills: [Python](https://realanalystjobs.com/skills/python), AWS ## About this role About the Role Build and operate production machine learning systems at an early-stage AI recruiting and talent technology company. You will own work across the ML lifecycle, partnering with product, engineering, and domain experts to deliver models that support the core product. What You'll Do • Design, train, and evaluate machine learning models for production use cases. • Build end-to-end ML pipelines, including data preprocessing, model serving, and monitoring. • Partner with product and engineering teams to turn business needs into ML solutions. • Debug and improve production model performance using monitoring and real-world feedback. • Write maintainable code and contribute to ML infrastructure and tooling. • Participate in code reviews and share knowledge with teammates. What We're Looking For • At least 3 years of professional machine learning or software engineering experience, including building and deploying production ML systems. • Strong ML fundamentals, including model selection, evaluation, feature engineering, and validation. • Proficiency in Python and hands-on experience with TensorFlow, PyTorch, or scikit-learn. • Experience implementing end-to-end ML pipelines and maintaining deployed systems at scale. • Familiarity with MLOps and cloud platforms or tools such as AWS SageMaker, GCP Vertex AI, Kubernetes, or Docker. • Experience with production A/B testing or experimentation, and debugging models based on operational feedback. • Background in a startup or fast-moving, product-focused environment, plus completed university studies and professional employment after graduation. Compensation & Benefits Base salary starts at $140,000 USD annually. The upper end of the range was not provided. Visa sponsorship policy was not provided. Location On-site in San Francisco, California, United States. Description from Clera's public careers feed, reproduced so you can read the role here. Apply on the company's own site; Real Analyst Jobs never submits anything for you. ## How to apply Open [this role on Real Analyst Jobs](https://realanalystjobs.com/job/mid-level-machine-learning-engineer-clera-73574006) and use Apply now there to reach the employer's application. The listing is re-checked against Clera's careers page daily and removed when it closes. ## Clera Analyst roles on Real Analyst Jobs. [More roles at Clera](https://realanalystjobs.com/companies/clera) ## More like this - [Data analyst jobs in the USA](https://realanalystjobs.com/jobs/data-analyst-jobs-in-usa) - [Analyst job market report](https://realanalystjobs.com/analyst-job-market) - [What analyst roles pay](https://realanalystjobs.com/blog/data-analyst-salaries) ## Sources and links - [This role on Real Analyst Jobs](https://realanalystjobs.com/job/mid-level-machine-learning-engineer-clera-73574006) - [Clera on Real Analyst Jobs](https://realanalystjobs.com/companies/clera) - [All analyst jobs](https://realanalystjobs.com/jobs)