Lead Machine Learning Engineer
1 week ago
[Full Time] Lead Machine Learning Engineer (NLP) (Remote India) at Draft (United States) | BEAMSTART Jobs
Lead Machine Learning Engineer (NLP) (Remote India)Draft United States
Work Location: Toronto, Canada, United States
Salary Offered: Not Specified
Job Type: Full Time
Experience Required: No experience required
Remote Work: Yes
Stock Options: No
Vacancies: 1 available
Draft (formerly Contentfly) is creating the content infrastructure that businesses use to build, grow, and enhance their revenue streams. We're a fully remote team working towards helping companies narrate their stories. Backed by Khosla Ventures, YCombinator & other top investors, we've expanded to a team of 50+ individuals with $8m in ARR within the last year and a half. With an outstanding talent marketplace and a team that always pushes boundaries, we aim to establish a comprehensive platform for exceptional content marketing.
Reporting to the VP of Engineering, this role is crucial in shaping the AI strategy at the company. You'll collaborate closely with product and engineering teams to create, implement, and deploy ML models at scale. Your work will significantly impact the company's revenue growth and offer high visibility across the engineering unit.
You are:- An effective communicator, you possess the charm to lead discussions, strategize, and troubleshoot effectively with team members both inside and outside the organization
- A Self-Starter, you are proficient in your field but always eager to enhance your expertise in the constantly evolving Machine Learning domain.
- Ownership, you exhibit a strong sense of responsibility and commitment to the projects you handle.
- Leadership, adept at managing people, situations, and tasks to direct and influence the growth of AI at Draft.
Here's what you'll be doing day to day...
- Research: Stay updated with the latest in NLP/NLU research.
- Design: Engage in product design conversations and decisions.
- Implement: Develop and deploy AI software/products that meet evolving customer needs. Test, debug, maintain, and enhance software as per specifications. Engage in rapid iteration cycles related to Training/Finetuning + Testing + Deployment of NLP models.
- Collaborate: Establish organizational best practices with various teams to ensure high-quality software systems that set industry benchmarks.
- Mentor: Mentor, aid, and lead a small team of NLP Engineers.
The ideal Lead Machine Learning Engineer candidate will possess the following competencies:
- Ability to comprehend business issues and translate them into ML problems
- A Research-to-Implementation Mindset: adept at driving a project from ideation to production deployment
- Strong grasp of Ranking/Recommendation systems
- 1+ year experience in working with Recommendation/Ranking systems
- Knowledge of traditional and Deep Learning based Ranking/Recommendations systems
- Experience with semi-structured data for statistical and machine learning based algorithms
- Exceptional Python skills - Minimum 5 years of experience
- Ability to deploy ML models in the Cloud - At least 3 models deployed previously
- Prior exposure to AWS and related services
- Experience with databases (Postgres/MySQL)
- ML framework: Pytorch / Tensorflow
- Experience managing Machine Learning Engineers
- Good to have: prior contributions to NLP projects/libraries/packages
Why you'll love working here:
- Unlimited vacation/PTO + Stock Options
- Fully remote and distributed teams
- Full Health benefits
- Paid Parental Leave
- Free laptop and home office budget, with cellphone/internet coverage
- Ongoing training and education budgets
- Opportunities to travel around the world to engage with the Draft Picks
Like what you see and believe you're a perfect fit? Apply today.
Please be assured that any information you share will be handled with utmost care and solely used for recruitment purposes. We prioritize your privacy and will not disclose it to other entities for marketing purposes. Kindly review our privacy policy for more details.
Draft is proud to be an equal opportunity employer, fostering an inclusive environment where every team member feels valued and supported. We aim to build a diverse culture that nurtures talented individuals to thrive. Accommodations are available as needed.
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