Senior Machine Learning Engineer
Senior Machine Learning Engineer
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$ 133500 - 212000
1 Vacancy
Job Description
Iterable is the leading AI-powered customer engagement platform that helps leading brands like Redfin SeatGeek Priceline Calm and Box create dynamic individualized experiences at scale. Our platform empowers organizations to activate customer data design seamless cross-channel interactions and optimize engagementall with enterprise-grade security and compliance. Today nearly 1200 brands across 50 countries rely on Iterable to drive growth deepen customer relationships and deliver joyful customer experiences.
Our success is powered by extraordinary people who bring our core valuesTrust Growth Mindset Balance and Humilityto life. We foster a culture of innovation collaboration and inclusion where ideas are valued and individuals are empowered to do their best work. Thats why weve been recognized as one of Incs Best Workplaces and Fastest Growing Companies and were recognized on Forbes list of Americas Best Startup Employers in 2022. Notably Iterable has also been listed on Wealthfronts Career Launching Companies List and has held a top 10 ranking on the Top 25 Companies Where Women Want to Work.
With a global presenceincluding offices in San Francisco New York Denver London and Lisbon plus remote employees worldwidewe are committed to building a diverse and inclusive workplace. We welcome candidates from all backgrounds and encourage you to apply. Learn more about our story and mission on our Culture and About Us pages. Lets shape the future of customer engagement together!
How you will make an impact:
Were looking for a talented Senior Machine Learning Engineer to join a cross-functional machine learning team shaping the future of our platforms AI this role youll architect and develop robust systems for feature engineering and large-scale model training collaborating across teams navigating complex data challenges and guiding technical direction.
This is an exceptional opportunity for someone with a strong platform mindset who is passionate about building end-to-end ML workflows enjoys tackling real-world data problems and thrives on ownership from ideation through to deployment. Youll play a pivotal part in designing reusable scalable ML infrastructure enabling teams to accelerate experimentation and bring intelligent features to life. While specific domain expertise in certain ML methods is a plus what matters most is your ability to identify impactful opportunities prototype new solutions and continuously advance our platforms machine learning capabilities.
One of our core values is a growth mindset and Iterable is a company where everyone can grow. If this is a role that excites you please do apply as we value applicants for the skills they bring beyond a job description.
How You Will Make a Difference:
- Independently lead large-scale machine learning initiativesdelivering capabilities for scalable feature engineering data processing and model training on Databricks.
- Design build and deploy machine learning models that enable our partners to reach the right user with the right message at the right time.
- Own the complete lifecycle of ML platform features: from requirements gathering and architecture through implementation deployment and post-launch support.
- Shape architectural decisions aimed at building robust reusable and highly available ML infrastructure that raises the bar for engineering and data science excellence.
- Mentor colleagues through code reviews technical design sessions and knowledge sharing helping grow a strong culture of engineering rigor and learning.
We Are Looking for People Who:
- Have 5 years of experience in machine learning engineering data infrastructure or platform engineering preferably in a SaaS environment.
- Demonstrate a strong track record leading multi-stakeholder projects that deliver platform features scalable ML tooling or end-to-end training systems.
- Show proficiency with Python (with a preference for experience in distributed data processing environments like Databricks Spark or similar platforms).
- Bring hands-on experience with large-scale data pipelines distributed systems and cloud data storage (Databricks Delta Spark Kafka Postgres etc.).
- Exhibit a product-minded approach: comfortable partnering with product managers and data practitioners to balance trade-offs across usability scalability and complexity.
- Possess curiosity and adaptability to master new ML and data technologies frameworks and best practices.
- Communicate and collaborate effectively within remote and distributed teams.
Bonus Points
- Experience building or operating ML platforms on Databricks.
- Scala development experience
- Familiarity with ML workflow orchestration tools (e.g. MLflow Kubeflow Airflow) and interest in automating model development testing and deployment.
- Exposure to generative AI or large language model workflows within an agentic or conversational UX context.
- Experience designing developer-facing APIs or tools to empower other ML engineers or data scientists.
- Success working in remote-first or globally distributed engineering organizations.
Perks & Benefits:
- Competitive salaries meaningful equity & 401(k) plan
- Medical dental vision & life insurance
- Balance Days (additional paid holidays)
- Fertility & Adoption Assistance
- Paid Sabbatical
- Flexible PTO
- Monthly Employee Wellness allowance
- Monthly Professional Development allowance
- Pre-tax commuter benefits
- Complete laptop workstation
The US base salary range for this position at the start of employment is $133500 - $212000. Within this range individual pay is determined by specific US work location as well as additional factors including job-related skills experience relevant education or training and internal equity considerations.
Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable) equity plus a range of benefits including medical dental vision and addition we offer perks such as generous stipends for health & fitness and learning & development among others.
Recruitment Disclaimer:
Please be aware that Iterable Inc. (Iterable) and our official professional recruiting agencies and platforms do not:
- Send job offers from free email services like Gmail Yahoo mail Hotmail etc.
- Request money fees or payment of any kind from prospective candidates to apply to Iterable for employment or for the recruitment process (e.g. for home office supplies or training etc.).
- Request or require personal documents like bank account details tax forms or credit card information as part of the recruitment process prior to the candidate signing an engagement letter or an employment contract with Iterable.
You may see all job vacancies on our official Iterable channels:
- Official Iterable website Careers page: LinkedIn Jobs page: is not affiliated in any way to these impostors and we hereby confirm that such individuals/entities are not authorized encouraged or sponsored to act on behalf of Iterable. Such job opportunities are entirely fake and not valid. Therefore please disregard any written or oral request for a job offer or an interview that you believe is or might be fraudulent or suspicious and immediately reach out to us via email at upon receiving a suspicious job offer.
Criminal and/or civil liabilities may arise from such actions and Iterable expressly reserves the right to take legal action including criminal action against such individuals/entities whenever such phenomena any case please note that under no circumstances shall Iterable and any of its affiliates be held liable or responsible for any claims losses damages expenses or other inconvenience resulting from or in any way connected to the actions of these impostors.
Iterable is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Iterable does not make hiring or employment decisions on the basis of race color religion or religious belief ethnic or national origin nationality sex gender gender-identity sexual orientation disability age military or veteran status or any other basis protected by applicable local state or federal laws or prohibited by Company policy. Iterable also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance and other similar state laws and local ordinances and its internal policy Iterable will also consider for employment qualified applicants with arrest and conviction records.
Required Experience:
Senior IC
Employment Type
Full Time
