Senior Software Engineer, Machine Learning
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 $140,000-$225,000. 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