Machine Learning Engineer, Tecton
Gen AI
$189-258k
+ Equity; Salary applicable to CA and NY based candidates only and may vary by other locations
The feature platform for machine learning
Open for applications
The feature platform for machine learning
101-200 employees
Open for applications
$189-258k
+ Equity; Salary applicable to CA and NY based candidates only and may vary by other locations
101-200 employees
Company mission
To transform the way companies solve real-world problems with machine learning.
Role
Who you are
- Bachelor's, Master's, or equivalent degree in Computer Science, Engineering, or a related field. A PhD is a plus, especially with a focus on AI/ML or Natural Language Processing (NLP)
- Minimum of 6+ years as a Machine Learning Engineer or Software Engineer specializing in machine learning infrastructure or GenAI applications
- Proven track record of building, fine-tuning, and deploying machine learning or generative AI models in production environments
- Strong proficiency in Python and familiarity with key libraries such as NumPy, pandas, scikit-learn, TensorFlow, PyTorch, or JAX/Flax
- Hands-on expertise with deep learning frameworks, such as PyTorch or TensorFlow, and familiarity with libraries like Hugging Face Transformers for LLM development
- Experience working with large language models (LLMs) such as GPT, BERT, Llama, or Claude, including fine-tuning, prompt engineering, and deploying LLMs in production
- Proficiency in working with cloud platforms (AWS, GCP, Azure) for deploying ML/GenAI pipelines, including familiarity with services like S3, Lambda, SageMaker, Vertex AI, or equivalent
- Good familiarity with the rapidly evolving market and a strong intuition for identifying valuable, unique opportunities versus trends that lack long-term potential
- A pronounced inclination toward experimental and iterative approaches, prioritizing swift progress, and being able to navigate through a high degree of ambiguity
- Proven Competency in driving projects from ideation to delivery in a collaborative environment and being able to partner across cross-functional teams and Product Managers
- Previous experience working on 0 to 1 projects is a plus
What the job involves
- By taking on this role, you will be responsible for bringing Tecton’s existing technology foundation to our customers’ GenAI use cases
- The field is evolving quickly and you’ll need to be on your toes, and deeply immersed in the GenAI space
- You will expand Tecton’s offering into a versatile platform that can power diverse GenAI use cases such as hosting RAG applications, using LLMs to extract features, generating historical training data to fine tune enriched prompts, and powering agentic workflows with tools
- You will work directly with ML/AI Platform teams & use case teams
- This will expose you to the bleeding edge of production AI applications that have immediate impact on our customers’ bottom lines
- You will learn how AI is applied across use cases as varied as recommendation systems, search ranking, fraud detection
- Anti money laundering, price predictions, safety predictions, personalization, credit underwriting and much much more
- Work closely with the CEO/CTO to define and lead Tecton’s GenAI strategy
- Drive GenAI initiatives from ideation to delivery in a collaborative environment and partner across cross-functional teams and Product Managers
- Identify, develop, and validate the most important end-to-end GenAI use cases in Tecton
- Work closely with customers to launch impactful new capabilities at a rapid pace and close the gap for technical adoption of Tecton’s GenAI capabilities
- Take an experimental and iterative approach, prioritizing swift progress, and navigate through a high degree of ambiguity
Our take
Tecton provides an innovative solution that makes it possible for all companies to benefit from machine learning, regardless of their level of expertise and experience. The company is committed to the democratisation of artificial intelligence, believing that it is something that all businesses should be able to access, not just the privileged few.
As part of this process, Tecton provides a range of services, ensuring that machine learning applications can be built at business level. The experience of the company makes it possible for businesses to implement machine learning projects in real-time, and then use them to derive insights from the best data available.
Tecton also offers what it believes to be the first enterprise-ready feature store for machine learning, enabling data scientists and engineers to build a library of great features and serve them in production. The unique nature of its product coupled with the CEOs' experience at Uber and Google elevates Tecton above other machine learning companies. With 2022's series C funding, Tecton has been scaling its engineering and go-to-market teams and positioning itself well for future growth.
Steph
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
17% female employees
33% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jul 2022
$100m
SERIES C
Dec 2020
$35m
SERIES B
Total funding: $160m
Company benefits
- Comprehensive health plans = Our health plan options give you the flexibility to select the right coverage for you and your family. We cover 100% for employees and 80% for dependents
- Remote-friendly work environment - We are remote-friendly and make it easy for our people to be in the office if they want to be
- Parental leave - We offer 8-16 weeks of paid leave to spend quality time with family
- Competitive salary, equity and 401(k) savings plans - We offer meaningful compensation and equity packages that reflect our commitment to hire the best talent
- Wellbeing benefits - We provide a range of benefits that holistically support your physical, mental, and financial wellbeing
- Flexible time off - There is life outside of work. Our flexible policy means every employee is encouraged to take the time they need to rest and rejuvenate
Company values
- We are one team
- We put people first
- We are open and transparent
- We take winning seriously and have fun
- We are doers
- We are owners, not renters
- We break down walls
- We fight for the truth
- We are leaders
- We serve the customer
- We think big and work backward
- No shenanigans!
Company HQ
Mid-Market, San Francisco, CA
Articles
Leadership
Mike Del Balso
(CEO)Product Manager at Google, then Senior Product Manager at Uber - where they were responsible for Michelangelo. Co-founded Tecton in 2018.
Kevin Stumpf
(CTO)MBA Stanford. Co-found and CTO at Dispatcher. Technical Lead at Uber, involved in Michelangelo project. Co-founded Tecton in 2018.
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