Staff Machine Learning Engineer
LaddersAbout the role
For our client, we are seeking a Staff Machine Learning Engineer to join the team of a leader in the Real Estate & Construction space.
This role will shape advanced machine learning capabilities that improve marketplace matching, model performance, and the overall experience for users in a high-volume digital environment. You will lead the technical direction for machine learning systems, partnering closely with engineering, data science, and product teams to build scalable, reliable solutions. The position also calls for strong MLOps discipline, rigorous evaluation practices, and the ability to translate complex technical decisions into clear business impact.
Location: Remote - US based candidates only, no visa sponsorship available
Compensation: $230,000 – $310,000 annually
Responsibilities
Lead the development of advanced machine learning models to improve marketplace algorithms.
Design robust MLOps practices for scalable deployment of machine learning models.
Own rigorous evaluation frameworks for deep learning and ML systems.
Collaborate with engineers, data scientists, and product managers on scalable ML systems.
Develop a long-term technical vision and set clear objectives for the team.
Mentor junior team members and promote a culture of technical excellence.
Qualifications
Master's or Ph.D. in a quantitative field such as Computer Science, Statistics, or Mathematics.
6+ years of experience in data science and machine learning, preferably in tech and marketplace settings.
Hands-on experience with post-training and self-hosting open-weight LLMs, including fine-tuning and quantization.
Deep understanding of evaluation metrics for ML and deep learning systems.
End-to-end fluency in the MLOps lifecycle, from data versioning to retraining pipelines.
Knowledge of distributed application architecture and performance tuning.
Strong SQL, Python, and ML framework skills, including TensorFlow and PyTorch.
Excellent communication skills for conveying technical concepts to non-technical stakeholders.
Benefits
Full medical, dental, and vision package.
Flexible vacation policy allowing work-life balance.
Pet discount plans and retirement plan with company match (401K).
Opportunity to work with driven teammates on unique challenges.
Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.
Responsibilities
- Lead the development of advanced machine learning models to improve marketplace algorithms.
- Design robust MLOps practices for scalable deployment of machine learning models.
- Own rigorous evaluation frameworks for deep learning and ML systems.
- Collaborate with engineers, data scientists, and product managers on scalable ML systems.
- Develop a long-term technical vision and set clear objectives for the team.
- Mentor junior team members and promote a culture of technical excellence.
Qualifications
- Master's or Ph.D. in a quantitative field such as Computer Science, Statistics, or Mathematics.
- 6+ years of experience in data science and machine learning, preferably in tech and marketplace settings.
- Hands-on experience with post-training and self-hosting open-weight LLMs, including fine-tuning and quantization.
- Deep understanding of evaluation metrics for ML and deep learning systems.
- End-to-end fluency in the MLOps lifecycle, from data versioning to retraining pipelines.
- Knowledge of distributed application architecture and performance tuning.
- Strong SQL, Python, and ML framework skills, including TensorFlow and PyTorch.
- Excellent communication skills for conveying technical concepts to non-technical stakeholders.
Benefits
- Full medical, dental, and vision package.
- Flexible vacation policy allowing work-life balance.
- Pet discount plans and retirement plan with company match (401K).
- Opportunity to work with driven teammates on unique challenges.
Skills mentioned
About Ladders
We lead the leaders. Ladder’s community of 10 mm leading professionals come to us to be inspired, grow in their careers, and get ahead in their professional lives. We focus on the $100K+ job market, representing 25% of all jobs and about 50% of income in the US & Canada. We build data-driven tools, marketplaces, news and entertainment products for our growing audience, and the companies, recruiters, and advertisers that want to reach them. We work best with people who enjoy using their talents, commitment and hard work to achieve great successes for millions of real life users through products that impact their careers. We are deeply technology-driven -- about half the company are engineers, technical product people or product designers -- but we never build technology for technology’s sake. We’re always trying to connect our efforts to the good it can do in people’s lives.
H-1B sponsorship history
Historical employer filing data was found for Ladders. The employer record includes 8 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.