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Senior Software Engineer, Machine Learning

Ziprecruiter
  • OrtÅre
  • OmfattningHeltid
  • Sista ansökan29 dagar kvar
  • Publicerad8 sep.

Om tjänsten

We offer a hybrid work environment. Most US-based positions can

also ​be ​performed

remotely (any exceptions will be noted in the Minimum Qualifications below.)

Our Mission:

To actively connect people to their next great

opportunity.

Who We Are: 

ZipRecruiter is a

leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of

all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the

best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android.

Summary:

At ZipRecruiter, where a universe of data, brimming with

over a billion archived job postings, tens of millions of dynamic job seekers, and countless impression and click events, there’s

plenty of opportunities for innovation. Here, your experience will be put to work crafting new, data-driven features that impact

the lives of millions, connecting them to their dream jobs.

We're tackling exciting

challenges: imagine developing a system that can predict salaries for new job postings, using a training set of job postings and

known salaries. But the fun doesn't stop at model-building. Our work involves an immersive dive into data - gathering, cleaning,

analyzing, and extracting meaningful insights.

Key Focuses:

Design, develop, and maintain machine learning models and algorithms to solve complex

business problems

Identify patterns, trends, and

anomalies in the data, and visualize insights using appropriate tools

Assess the performance of machine learning models using appropriate metrics, validation techniques, and

testing datasets

Discover opportunities to optimize

models by fine-tuning hyperparameters, feature selection, or employing regularization techniques to improve accuracy, performance,

and scalability

Minimum Qualifications:​ 3+ year of professional software development experience with a focus in machine learning

Deep experience in machine learning algorithms, techniques, and best

practices

Comprehensive computer science fundamentals in

coding, object-oriented programming, data structures, and algorithms

Preferred

Qualifications:​

5+ year of professional software

development experience with a focus in machine learning

BS/MS/PhD in Mathematics, Computer Science, Physics, related technical field or equivalent practical experience

Strong knowledge of machine learning algorithms (e.g., linear

regression, SVM, decision trees, neural networks, clustering, etc.) and best practices

Experience with machine learning algorithms and frameworks, such as TensorFlow, PyTorch, or

scikit-learn

Experience with deep learning architectures

and techniques, such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Long Short-Term Memory (LSTM), and

Generative Adversarial Networks (GANs)

Background with

NLP techniques and tools, such as tokenization, stemming, lemmatization, sentiment analysis, and named entity recognition, and

libraries like NLTK, SpaCy, or BERT

As part of our team you’ll enjoy:

Competitive compensation

Exceptional benefits package

Flexible Vacation & Paid Time Off

Employer-matched 401(k) plan

#LI-Remote

The US base salary range for this full-time position is $170,000-$240,000. Our salary ranges are

determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for

new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location,

role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related

considerations.

Depending on the position offered, equity, bonuses, commission, or

other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical,

financial, and other benefits.

ZipRecruiter is proud

to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without

regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or

genetics.

Privacy Notice: ​For information about ZipRecruiter's

collection and processing of job applicant personal data for this job, please see our Privacy Notice at: https://www.ziprecruiter.com/careers/job-applicant-privacy-notice