Senior Machine Learning Engineer Dating Outcomes
Senior Machine Learning Engineer Dating Outcomes
Posted on :
10-04-2025
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1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
10-04-2025
Job Description
Hinge is the dating app designed to be deleted
In todays digital world finding genuine relationships is tougher than ever. At Hinge were on a mission to inspire intimate connection to create a less lonely world. Were obsessed with understanding our users behaviors to help them find love and our success is defined by one simple metric setting up great dates. With tens of millions of users across the globe weve become the most trusted way to find a relationship for all.
About the Role:
The Dating Outcomes group is responsible for ensuring people see their most compatible matches helping them better present themselves and even starting a conversation when they match with someone. In short we help people go on dates!
We are hiring Senior ML practitioners to help us build the foundations of an AI first dating experience using the latest advancements in the field leveraging Hinges years worth of preference data. You can expect to work on recommendation systems end to end experiment with using LLMs photo and mixed input embedding models as well as building and deploying real time predictive models that directly impact millions of users experience. This is a fastgrowing team and you will get a chance to own and define the strategy vision and plan for how to accelerate machine learning at Hinge.
Responsibilities
- Own and contribute to foundational models (e.g. CLIP embeddings) that powers our recommendations pipelines.
- Contribute to the research and development of recommender models as well experiment with the latest ML innovations (e.g. LLM agents and transcription models)
- Design advocate and implement for availability scalability operational excellence and cost management while delivering impact to our daters incrementally.
- Collaborate closely with ML Engineers Data Scientists and Product Managers to understand their needs and identify opportunities to accelerate the AI/ML development and deployment process.
- Mentor and educate ML Engineers on current and up and coming research technologies and best practices of doing ML at scale.
- Perform other jobrelated duties as assigned.
What Were Looking For
- Strong programming skills: Proficiency in languages like Python Java or C
- System design & architecture: Proven track record of training and deploying large scale ML models specially DNNs. Good understanding of distributed computing for learning and inference.
- Cloud platform proficiency: The ability to utilize cloud environments such as GCP AWS or Azure. Familiarity with ML serving solutions like Ray KubeFlow or W&B is a plus.
- ML knowledge: Deep understanding of DNN architectures track record of building debugging and fine tuning models. Familiarity with PyTorch TF knowledge distillation recommender systems are a plus.
- Devops skills: The ability to establish manage and use data and compute infrastructure such as Kubenetes and Terraform.
- Data engineering knowledge: Skills in handling and managing large datasets including data cleaning preprocessing and storage. Deep understanding of batch and streaming pipelines as well as orchestrators like Argo and Airflow.
- Collaboration and communication skills: The ability to work effectively in a team and communicate complex ideas clearly with individuals from diverse technical and nontechnical backgrounds..
- Strong written communication: The ability to communicate complex ideas and technical knowledge through documentation
- Software leadership skills: A track record of leading projects through completion with quantifiable and measurable outcomes.
- 4 years of experience depending on education as an MLE.
- 2 years of experience working on a cloud environment such as GCP AWS Azure and with devops tooling such as Kubernetes
- 1 year of experience leading projects with at least 1 other team member through completion.
- 2 years of experience for Senior designing and developing online and production grade ML systems.
- A degree in computer science engineering or a related field.
$204000 $245000 a year
As a member of our team youll enjoy:
401(k) Matching: We match 100 of the first 10 of pretax 401(k) contributions you make up to a maximum of $10000 per year.
Professional Growth: Get a $3000 annual Learning & Development stipend once youve been with us for three months. You also get free access to Udemy an online learning and teaching marketplace with over 6000 courses starting your first day.
Parental Leave & Planning: When you become a new parent youre eligible for 100 paid parental leave 20 paid weeks for both birth and nonbirth parents.
Fertility Support: Youll get easy access to fertility care through Carrot from basic treatments to fertility preservation. We also provide $10000 toward fertility preservation. You and your spouse/domestic partner are both eligible.
Date Stipend: All Hinge employees receive a $100 monthly stipend for epic dates Romantic or otherwise. Hinge Premium is also free for employees and their loved ones.
ERGs: We have eight Employee Resource Groups (ERGs)Asian Unapologetic Disability LGBTQIA Vibras Women/Nonbinary Parents and Remotethat hold regular meetings host events and provide dedicated support to the organization & its community.
At Hinge our core values are
Authenticity: We share never hide our words actions and intentions.
Courage: We embrace lofty goals and tough challenges.
Empathy: We deeply consider the perspective of others.
Diversity inspires innovation
Hinge is an equalopportunity employer. We value diversity at our company and do not discriminate on the basis of race religion color national origin gender sexual orientation age marital status veteran status or disability status. We believe success is created by a diverse workforce of individuals with different ideas strengths interests and cultural backgrounds.
If you require reasonable accommodation to complete a job application preemployment testing or a job interview or to otherwise participate in the hiring process please let your Talent Acquisition partner know.
#Hinge
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
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