We believe in the power of hiring. Because the potential for people to do something outstanding has everything to do with being in the right role, on the right team, at the right time. That’s where Greenhouse comes in – from recruiting to on-boarding, we make software to help every company be great at hiring.
Greenhouse is looking for a Senior Machine Learning Software Engineer to join our team!
In this role, you’ll work with our team to develop machine learning models that enhance Greenhouse products like resume parsing/anonymization, hiring, sourcing, and predictive analytics. Additionally, we serve to support other product engineering teams on their journey of implementing more machine learning capabilities. You’ll collaborate with data science, product, and engineering teams to deploy, monitor, and maintain these models, allowing you to refine your skills and contribute to key projects.
Who Will Love This Job
• A Deep Learning practitioner – you are eager to unlock the potential of deep learning for various applications
• A generalist – you have experience and the ability to perform a wide variety of software engineering tasks, which are necessary to develop, deploy, and monitor a new software application. You have experience working on whole applications mainly in Python but welcome the opportunity to use Ruby or Typescript as needed.
• A collaborator – you are able to work with multiple teams to find the best way to use data to provide value to customers and will do everything needed to make that happen
• An entrepreneur – someone whose values align with our vision on how A.I. can assist in the hiring process.
What You’ll Do
• Develop software applications with a strong focus on machine learning
• Train deep learning models using PyTorch and Transformers and experiment with (new) techniques to reduce their memory footprint, speed them up, or increase their accuracy
• Deploy software applications, including deep learning models, in production, using AWS and Greenhouse’s internal tools
You should have
• The ability to work within the Eastern Time Zone
• Experience deploying, monitoring, and improving ML models at a technology company
• Strong Python experience
• Experience training and experimenting with deep learning models as well as serving them in production
• Experience with transformers and other HuggingFace libraries
• Experience designing and consuming APIs
• An ability to build consensus while creating space for others
• Excellent prioritization and time management skills
• Experience with NLP and large language models, a plus
• Experience with machine learning models which are not deep learning (e.g. decision trees), a plus
• Experience using Docker and AWS (SageMaker endpoints, SageMaker notebooks, S3, IAM, …), a plus
• Your own unique talents! If you don’t meet 100% of the qualifications outlined above, tell us why you’d be a great fit for this role in your cover letter
Applicants must be legally eligible to work in Canada as of the start date chosen by the Company.
For purposes of processing or administering your employment relationship, personal information that you provide to the Company may be transferred to and accessed by an affiliate in the United States or elsewhere, or to agents and contractors (such as payroll companies, insurance companies, information technology consultants, etc.) that provide services to the Company.
The national pay range for this role is $142,700 – $214,100 CAD. Individual compensation will be commensurate with the candidate’s experience and qualifications. Certain roles may be eligible for additional compensation, including stock option awards, bonuses, and merit increases. Additionally, certain roles have the opportunity to receive sales commissions that are based on the terms of the sales commission plan applicable to the role.
Who We Are
At Greenhouse, we celebrate having a diverse group of hardworking employees and it hasn’t gone unnoticed. We’ve won numerous awards including Inc. Magazine Best Workplace (2018-2022), Glassdoor #1 Best Place to Work, Forbes Cloud 100, Deloitte Technology Fast 500, Inc. 5000, Crain’s Best Places to Work NYC, Fortune’s Great Place to Work (2019 – 2022), and Mogul’s Top 100 Workplaces for Diverse Representation (2022). We pride ourselves on fostering a collaborative culture throughout every step of a Greenhouse employee’s journey. From day one of our interview process to executive “Ask Me Anything” sessions, we consistently cultivate an inclusive environment.
Greenhouse provides a variety of benefits to employees, including medical, dental, and vision insurance, basic life insurance, mental health resources, financial wellness benefits, and a fully paid parental leave program. For US-based employees, we offer short-term and long-term disability coverage, a 401(k) plan and company match. U.S. based employees also receive, per calendar year, up to 13 scheduled paid holidays and up to 80 hours of paid sick leave. Non-exempt employees accrue up to 20-25 days of paid vacation time, depending on tenure, and exempt employees have unlimited paid time off (PTO). For Ireland-based employees, we offer 25 days’ vacation and an employer matching pension program.
Our success in making companies great at hiring depends on our ability to create a diverse, equitable and inclusive environment. To that end, we’re committed to attracting, developing, retaining and promoting a diverse workforce, and infusing DE&I throughout all of our internal practices. By ensuring that every Greenie is able to bring a diversity of talents to our work, we’re increasingly capable of living out our mission and providing real insight from our products to support our customers. We encourage people from underrepresented backgrounds and all walks of life to apply. Come grow with us at Greenhouse, where we’re building a team to face the world’s increasingly complex and diverse hiring needs.
Want to learn more about our interviewing process? Check out our interviewing at Greenhouse page
• *We are a distributed company and do our best work where it works best for us – as individuals and as teams. Our regional headquarters are based in New York (North America) and Dublin (Europe), but our employees are distributed across the US, Canada, and Ireland. **
Our Talent Acquisition (TA) team at Greenhouse has recently been notified of a phishing scam targeting candidates applying for our open roles. Scammers have been posing as hiring managers and recruiters in an effort to access candidates’ personal and financial information. Please note that any communication from our hiring teams at Greenhouse regarding a job opportunity will only be made by a Greenhouse employee with an @greenhouse.io email address. We would never ask you as part of our interview process to provide personal or financial information, including but not limited to your social security number, online account passwords, credit card numbers, passport information and other related banking information. If you believe you’ve been a victim of a phishing attack, please mark the communication as “spam” and alert us right away at [email protected].
Location: , , CA
Offer Expires: 2024-11-02 20:47:45
Job Posting Language: en
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