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Assistant No Experience Machine Learning Jobs (NOW HIRING)

Experience in other programming languages (eg. Java, R, Haskell) a plus. * Solid knowledge of machine learning tools (eg. scikit-learn, tensorflow, keras, pytorch, Spark MLlib) required. * Experience ...

... with no additional experience required. • Experience in building production-grade machine learning models and infrastructure in Python. • Strong background in advanced Python and big data ...

Proven experience as a Machine Learning Engineer or in a similar role. * Strong proficiency in ... programming languages such as Python, R, or Java. * Experience with machine learning frameworks and ...

Required : • Experience implementing ML systems at scale in Java, Scala, Python or similar ... machine learning models from research to production • Collaborative mindset, enjoy working ...

Experience with one of the following: machine learning/deep learning systems, computer vision, graphics, computational imaging applications. Experience with Pytorch. Preferred Qualifications MS/PhD ...

Machine Learning Engineer

Austin, TX · On-site

$199K - $331K/yr

No prior knowledge of neuroscience is required; we value simple solutions grounded in first ... Experience writing production-level C/C++/Rust and Python * Proven track record of designing ...

Required : • Expertise in Python (including NumPy, pandas, and other packages) • Experience with either PyTorch or TensorFlow • Deep understanding of machine learning fundamentals (gradient ...

Should have at least 1 year of experience in below skills. * C#, data structures, and basic ... Only US Citizen, Green Card Holder, GC-EAD, H4-EAD & L2-EAD can apply. 3. No OPT-EAD, H1B & TN ...

Experience or strong personal curiosity with designing imaging and sensing systems. Strong independent problem-solving and communication skills. Solid understanding of machine learning, deep learning ...

Required : • Master's degree in software development, computer science, algorithm design, artificial intelligence, or machine learning or equivalent experience Preferred : • 1 year of experience ...

Fundamental knowledge of and/or experience developing and applying algorithms in one or more of the following Machine Learning areas/tasks: deep learning, representation learning, zero- or few-shot ...

Apply Early

Machine Learning Engineer

Seattle, WA · On-site

$120K - $180K/yr

Our ideal candidate has experience creating a working machine learning-powered project from the ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Our ideal candidate has experience creating a working machine learning-powered project from the ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

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How much do assistant no experience machine learning jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for assistant no experience machine learning in the United States is $18.05, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $19.23 per hour, depending on experience, location, and employer.
What cities are hiring for Assistant No Experience Machine Learning jobs? Cities with the most Assistant No Experience Machine Learning job openings:
What are the most commonly searched types of No Experience Machine Learning jobs? The most popular types of No Experience Machine Learning jobs are:
What states have the most Assistant No Experience Machine Learning jobs? States with the most job openings for Assistant No Experience Machine Learning jobs include:
Machine Learning Engineer

Machine Learning Engineer

NTENT

Carlsbad, CA

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Job description

Machine Learning Engineer
Position: Full time
Location: Carlsbad office
About Us:
NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search technologies directly into their business-to-consumer offerings. We are a unique group of brilliant minds intent on discovering, learning and building. We work in a vibrant atmosphere, with an emphasis on personal and professional development. This is an opportunity to tackle complex problems usually reserved for a handful of large companies in the search industry.
About the Opportunity:
We are looking for a talented Machine Learning Engineer to join our team and deliver machine learning-driven products. The right candidate will work on development, deployment, and lifecycle management of machine learning models for various large-scale applications (natural language understanding, web search and ranking, recommendation, personalization, dialog/conversation management).
Keywords:
Machine learning, natural language processing, learning-to-rank, online learning, deep learning, interactive machine learning, machine teaching, conversational agents, human computer interaction
Duties and Responsibilities:
  • Design, implement, and deploy machine learning algorithms.
  • Manage machine learning algorithm lifecycle.
  • Coordinate data collection and annotation efforts.
  • Work with real-time data and content coming from various data sources.
  • Manage machine learning data pipelines.
  • Design tests for machine learning algorithm effectiveness and performance monitoring.
  • Design tools and interfaces for interactive machine learning and teaching.
  • Research and development on cutting-edge machine learning technologies.
Qualifications and Skills:
  • Graduate degree in Computer Science with a strong background in machine learning required.
  • Strong problem-solving abilities, solid background in algorithms and data structures required.
  • Strong programming skills in Python and Scala required. Experience in other programming languages (eg. Java, R, Haskell) a plus.
  • Solid knowledge of machine learning tools (eg. scikit-learn, tensorflow, keras, pytorch, Spark MLlib) required.
  • Experience with distributed and streaming data technologies (eg. Hadoop, Spark, Kafka) required.
  • Experience with building and deploying API's with Docker and Kubernetes required.
  • Experience with natural processing tasks (eg. named entity recognition, language modeling, vector representations) required.
  • Experience with Elastic Search, Lucene a plus but not required.
  • Experience with ranking algorithms a plus but not required.
  • Experience with interactive machine learning (eg. active learning, reinforcement learning, machine teaching) a plus but not required.
The ideal candidate will be self-motivated, possess excellent communication skills (both oral and written) and be able to work independently. A keen interest in various aspects of natural language processing is essential in our multi-disciplinary team.
We offer a full comprehensive benefits package including medical, dental and vision. Employees receive a generous time off (PTO) plan and 13 holidays per year. We also offer 401(k) benefits, long term disability benefits and life.