Machine Learning Engineer

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If your skills, experience, and qualifications match those in this job overview, do not delay your application. 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 Referrals can double your chances of interviewing at Unlimit Ventures. Stay updated on new Machine Learning Engineer jobs in San Diego, CA .
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Location:
San Diego, CA
Salary:
$200
Job Type:
FullTime
Category:
Engineering

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