Join to apply for the Machine Learning Engineer role at Unlimit Ventures .
Actively hiring for this position in the San Diego, CA area.
As a Machine Learning Engineer, you will play a critical role in developing cutting-edge models and algorithms that transform data into actionable insights. You will collaborate with cross-functional teams, work on challenging projects, and contribute to building new products in the environmental devices industry. This role is a contractor position with strong opportunities for permanent hiring and growth.
If you have a solid foundation in machine learning frameworks, data manipulation, and model optimization, and are eager to apply your skills in a fast-paced, innovative environment, we would love to hear from you.
Our Values
- Prudent optimism — glass-half-full, with a dose of caution to challenge our assumptions.
- Intrinsic motivation — driven by autonomy, goal clarity, and regular feedback.
- Commit to desired outcomes — define and vigorously achieve your goals.
- No egos, no jerks — fostering a respectful work environment.
You Will Be Responsible For
- Expertise in ML frameworks and libraries (TensorFlow, Keras, PyTorch, etc.).
- Data manipulation and analysis skills, familiar with Pandas, NumPy, SciPy, etc.
- Understanding of various ML algorithms (SVMs, neural networks, clustering, etc.) and ensemble methods.
- Model selection, evaluation, and improvement.
- Feature engineering, selection, and extraction.
- Deep learning, neural network architectures, transfer learning, hyperparameter tuning.
- Data analytics and visualization skills.
Qualifications
- 2 to 5 years of relevant industry experience.
- Experience with device development or robotics is preferred.
- Strong understanding of data structures and algorithms.
- Experience with hybrid models and multiple data sources.
- Proficiency with FCNNs and pre-trained CNNs.
- Experience in feature engineering for unconventional models.
- Knowledge of various modeling approaches like SVMs and clustering.
Preferred Skills
- Experience from idea inception to product launch.
- Understanding of product-market fit, UX, analytics, and testing.
- Experience with scalable, fault-tolerant, secure systems.
- Strong communication skills and proactive mindset.
- Familiarity with holographic data processing.
Additional Details
- Seniority level: Entry level
- Employment type: Full-time
- Job function: Engineering and IT
- Industries: Business Consulting and Services
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