Machine Learning Engineer
SweedSalary not specified
Full Time
Mid-level (3 to 4 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, AI & Machine LearningIndustries
Requirements
- 4+ years in applied ML engineering
- Expertise in Python with ML frameworks (PyTorch, TensorFlow)
- Experience with recommendation/search/matching systems and LLM/agentic workflows
- Expertise in reinforcement learning is a big plus
- Familiar with model deployment, A/B testing, and monitoring in real-world systems
Responsibilities
- Design and implement profile matching algorithms (recommendations, search, personalization)
- Build ML-specific pipelines for model training, evaluation, and inference at scale
- Research, experiment, and productionize agentic workflows to power voice agent and other similar functionalities
- Deploy models into production and ensure monitoring, retraining, and evaluation loops
- Partner with the product team to run offline & online experiments to improve outcomes
Skills
Python
PyTorch
TensorFlow
Machine Learning
Recommendation Systems
Search Systems
Natural Language Processing
Reinforcement Learning
Model Deployment
A/B Testing
Model Monitoring
Pear VC
Venture capital firm for early-stage startups
About Pear VC
Pear VC specializes in providing venture capital for pre-seed and seed stage investments. The firm collaborates with founders to transform innovative ideas into successful companies across various sectors, including AI, healthcare, fintech, and more. Their investment strategy focuses on early-stage startups, offering not just financial support but also expertise and a strong network to help these businesses grow. Pear VC distinguishes itself from competitors through its hands-on approach, providing strategic advice and operational assistance to ensure startups remain agile and focused on their customers. The goal of Pear VC is to guide startups through their early development phases, helping them achieve significant growth and success.
San Francisco, CaliforniaHeadquarters
2013Year Founded
$2,738.4MTotal Funding
UNKNOWNCompany Stage
Venture Capital, Fintech, AI & Machine LearningIndustries
51-200Employees
Risks
Increased competition from other VC firms in AI and biotech sectors.
Potential overvaluation of startups could lead to investment losses.
Regulatory challenges in biotech and healthcare may impact growth strategies.
Differentiation
Pear VC specializes in pre-seed and seed investments across diverse sectors.
The firm offers hands-on strategic advice and operational support to startups.
Pear VC focuses on innovation in AI, fintech, SaaS, healthcare, and deep tech.
Upsides
Growing interest in AI-driven healthcare solutions presents new investment opportunities.
Rising demand for cell engineering platforms suggests lucrative biotech investments.
Fitness tech startups focusing on community building are gaining traction.
Related Jobs
RemoteRemoteAI Engineer
BiorenderSalary not specified
- Full Time
- Mid-level (3 to 4 years)
RemoteApplied Scientist
KoBold MetalsSalary not specified
- Full Time
- Senior (5 to 8 years), Expert & Leadership (9+ years)
RemoteData Scientist
Ondo FinanceSalary not specified
- Full Time
- Junior (1 to 2 years)
RemoteSenior ML Platform Engineer
TRM LabsSalary not specified
- Full Time
- Senior (5 to 8 years)
RemotePlatform Engineer – AI/ML Infrastructure
Deepgram$160,000 - $220,000/year
- Full Time
- Senior (5 to 8 years), Expert & Leadership (9+ years)
RemoteSenior Machine Learning Engineer - Machine Learning Infrastructure
FlipSalary not specified
- Full Time
- Senior (5 to 8 years)
RemoteML Research Engineer (Senior / Staff / Principal)
Genesis TherapeuticsSalary not specified
- Full Time
- Senior (5 to 8 years), Expert & Leadership (9+ years)