Staff / Principal Machine Learning Engineer, Instawork
$210-270k
+ Equity in the form of stock options
3 days a week in office
Flexible staffing marketplace for local workforces
Be an early applicant
Flexible staffing marketplace for local workforces
1001+ employees
Be an early applicant
$210-270k
+ Equity in the form of stock options
3 days a week in office
1001+ employees
Company mission
To offer economic opportunities for local professionals and businesses, in communities across the world.
Role
Who you are
- BA/BS in Math, Statistics, Physics, Computer Science, or other quantitative fields
- Advanced degrees preferred but not required, e.g. PhD or Masters of Physics, CS, Stats, etc
- At least 10 years experience doing quantitative analysis, modeling and pushing ML into production
- Advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, or similar) and experience with applications
- Deep understanding of machine learning techniques (clustering, decision tree learning, artificial neural networks, or similar) and their real-world advantages/drawbacks
- Strong communication and presentation skills
- Expert level fluency using languages like Python & SQL to manipulate data and draw insights from large data sets
- Working knowledge of common web/mobile architectures, data pipelines, CI/CD processes, etc
- Strong understanding of DBT or other similar data transformation/organization methodologies
- Strong understanding of the dynamics around two-sided marketplaces and/or other complex business models, with an emphasis on product acumen
- Experience with BI tools (e.g. Mode, Tableau, Looker)
What the job involves
- We are seeking an innovative Staff / Principal ML Engineer to join our dynamic and growing team
- Our goal is to create economic opportunity for businesses and local professionals globally. We believe AI and machine learning will be key factors across our products and company in accelerating our mission
- Build/integrate new machine learning models into production using the necessary tools to monitor/administer them
- Collaborate with cross-functional teams to set and align on machine learning platform strategies to meet company objectives
- Deliver best-in-class technical approach and problem analysis documents
- Impact key company objectives by working closely with Product to refine our roadmap
- Build/maintain reports, dashboards, and metrics to monitor the performance of our products
- Mentor junior team members helping them to grow their skills and expertise
- Drive key architectural decisions and contribute to our ML platform architecture and strategy
- Act as a data evangelist to create a data-driven culture across the company and provide mentorship/feedback to analysts and other data-minded stakeholders
Our take
Around 57 million workers in the U.S. work on a 'gig' basis, providing short-term and one-off employment for a range of industries. However, due to the temporary nature of gig work, workers and understaffed employers are regularly let down by cancellations.
Instawork hosts an online marketplace that connects gig workers with local businesses across a variety of sectors including healthcare, hospitality, and warehouse work. Workers are paid hourly upon completion of a gig, at which point both the employer and worker themselves can provide feedback on the experience.
Whilst the startup faces competition within this gig-work industry, Instawork holds a smart focus on providing reliable and short-notice workers for businesses that need them. Gigs can be arranged within just a few hours of notice, and any employer or employee who cancels a job will be temporarily suspended in order to improve job success rates. Instawork's 2023 Series D funding is accelerating its AI capabilities and expanding its presence within staff distribution centres for some of the American continent's largest retailers and sports stadiums.
Steph
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
39% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
May 2023
$60m
SERIES D
Jul 2021
$60m
SERIES C
Total funding: $148m
Company benefits
- Medical, Dental, and Vision
- FSA and Commuter Benefits
- Parental and Family Leave
- Flexible Time Off
- Office & Phone Plan Reimbursement
- 401K Retirement Savings
Company values
- Empathy, trust, and candor - Being empathetic helps build trust in our community and company, and fosters successful decision-making
- Always be learning - We learn eagerly, from different teams within and outside the company. Respectful debate makes our company stronger
- Act like an owner - We have a strong ownership mentality. Every person on the team has the potential to make a huge impact
- Bias for action - We practice high-velocity decision-making, despite encountering ambiguity frequently
Company HQ
Financial District, San Francisco, CA
Articles
Leadership
Sumir Meghani
(CEO)Previously VP of Email at Groupon and VP at Mixx.
Salary benchmarks
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