Urgent! Machine Learning Engineer 2 Job Opening In SAN DIEGO – Now Hiring Intuit
**Overview**
In this role, you’ll be embedded inside a vibrant team of data scientists.
You’ll be expected to help conceive, code, and deploy data science models at scale using the latest industry tools.
Important skills include data wrangling, feature engineering, developing models, and testing metrics.
**Responsibilities**
+ Discover data sources, get access to them, import them, clean them up, and make them “machine learning ready”.
+ Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models.
+ Partner with data scientists to understand, implement, refine and design machine learning and other algorithms.
+ Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your models.
+ Work cross functionally with product managers, data scientists and product engineers, and communicate results to peers and leaders.
+ Explore new technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.Pay offered is based on factors such as job-related knowledge, skills, experience, and work location.
To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
**Qualifications**
+ **Model Prototyping:** The ML Engineer would be expected to build prototype models alongside data scientists.
This may involve data exploration, high-performance data processing, and machine learning algorithm exploration.
The ML engineer will be expected to come up with a rationale for model choice and come up with metrics to properly evaluate models.
+ **Model Productionalization** : Works with data scientists to productionalize prototype models to the point where it can be used by customers at scale.
This might involve increasing the amount of data used to train the model, automation of training and prediction, and orchestration of data for continuous prediction.
The engineer would be expected to understand the details of the data being used and provide metrics to compare models.
+ **Model Enhancement** : Work on existing codebases to either enhance model prediction performance or to reduce training time.
In this use case you will need to understand the specifics of the algorithm implementation in order to enhance it.
This enhancement could be exploratory work based off of a performance need or directed work based off of ideas that other data science team members propose.
+ **Machine Learning Tools** : The ML Engineer would build a tool for a specific project, or multiple projects though generally these types of projects are decoupled from any one project.
The goal of this type of use case would be to ease a pain point in the data science process.
This may involve speeding up training, making a data processing easier, or data management tooling.
**Qualifications**
+ BS, MS, or PhD degree in Computer Science or related field, or equivalent practical experience.
+ Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark).
+ Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering).
Intuit provides a competitive compensation package with a strong pay for performance rewards approach.
This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits (https://www.intuit.com/careers/benefits/full-time-employees/) ).
Pay offered is based on factors such as job-related knowledge, skills, experience, and work location.
To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
The expected base pay range for this position is:
Bay Area California,CA: $137,500.00 - 186,500.00
Southern California,CA: $124,500.00 - 168,500.00
New York $136,000.00 - 184,000.00
**What you'll bring**
**How you will lead**
EOE AA M/F/Vet/Disability.
Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
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Unlock Your Machine Learning Potential: Insight & Career Growth Guide
Real-time Machine Learning Jobs Trends in SAN DIEGO, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Machine Learning in SAN DIEGO, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 11037 jobs in United States and 424 jobs in SAN DIEGO. This comprehensive analysis highlights market share and opportunities for professionals in Machine Learning roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Intuit is currently hiring and seeking a Machine Learning Engineer 2 to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Machine Learning Engineer 2 Jobs SAN DIEGO.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Intuit adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Machine Learning Engineer 2 Jobs United States varies, but the pay scale is rated "Standard" in SAN DIEGO. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Machine Learning Engineer 2 typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Machine Learning Engineer 2 interview at Intuit, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Intuit's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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