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Senior Machine Learning Engineer
2 months ago
We are a pioneering talent firm, Recruiting From Scratch, dedicated to connecting top talent with innovative companies. Our team is 100% remote, working with clients across North America, South America, and Europe to help them find the best fit.
Our MissionWe aim to establish a new standard of trust in global commerce and capital markets by automating and streamlining the work of assurance and audit practitioners, particularly in cybersecurity, privacy, and ESG (Environmental, Social, Governance). We build software that empowers trust between businesses.
About the RoleWe are seeking a highly skilled Senior Machine Learning Engineer to join our team as we scale. As a key member of our engineering team, you will play a crucial role in developing and implementing ML-driven features that enhance our platform's capabilities in the audit and advisory industry.
Key Responsibilities- Collaborate with stakeholders to identify and map business problems to ML solutions
- Design, develop, and implement ML models with a focus on NLP and generative AI applications
- Curate, clean, and prepare data for model development and training
- Create and maintain ETL jobs for data processing
- Conduct rapid prototyping of ML solutions to quickly iterate on ideas
- Stay current with the latest advancements in ML, particularly in NLP and generative AI
- Collaborate with the platform engineering team to integrate ML solutions into the overall product architecture
- Implement data flywheels to continuously improve ML features through increased usage
- Define and implement ML performance metrics
- Contribute to the product roadmap with ML-driven feature ideas
- 4-5 years of experience in applied machine learning or related field
- Strong proficiency in Python and its ML/data science libraries
- Extensive experience with NLP techniques and generative AI technologies
- Experience with LLMs and both text-to-text and text-to-image generative models
- Proficiency in working with large datasets and creating ETL processes
- Experience with version control systems (e.g., Git) and CI/CD practices
- Ability to work in a fast-paced, changing startup environment
- Experience with rapid prototyping of ML solutions
- Familiarity with model deployment processes
- Knowledge of ML ops and experience building automated ML pipelines
- Experience with A/B testing and statistical analysis
- Modern web tech stacks consisting of several of the following: TypeScript, React, GraphQL, NodeJS, Hasura, Postgres, and AWS
- Background in or exposure to the audit and advisory industry
- Experience presenting technical concepts to non-technical stakeholders
- Experience mentoring or leading small teams
- Competitive compensation packages with meaningful ownership: $180-206k base + equity
- Healthcare: We offer competitive medical, dental, and vision benefits
- 401k: We offer an optional 401k through Human Interest. We do not offer an employer match at this time.
- Mental health: We offer mental health and therapy benefits through SpringHealth.
- Technology: All employees get a MacBook Pro, as well as a monitor, mouse, keyboard (or cash equivalent of those items if you'd like to buy other home office items).
- Unlimited PTO: Take the time off that you need to be the most productive and happy in your work.
- Flexible schedules: We maintain core hours from 9am - 1pm pacific time, and allow people to time shift as necessary around that. We're extremely flexible with hours and time off, and understand that people need to take care of things from time-to-time. Take the time off you need. We trust our team members to find the right times for them to do their best work.
