diff --git a/python/ray/cloudpickle/cloudpickle_fast.py b/python/ray/cloudpickle/cloudpickle_fast.py
index 75fd89e6b..ccfee6c7a 100644
--- a/python/ray/cloudpickle/cloudpickle_fast.py
+++ b/python/ray/cloudpickle/cloudpickle_fast.py
@@ -541,8 +541,8 @@ class CloudPickler(Pickler):
         # This is a patch for python3.5
         if isinstance(obj, numpy.ndarray):
             if (self.proto < 5 or
-                    (not obj.flags.c_contiguous and
-                     not obj.flags.f_contiguous) or
+                    (not obj.flags.c_contiguous and not obj.flags.f_contiguous) or
+                    (issubclass(type(obj), numpy.ndarray) and type(obj) is not numpy.ndarray) or
                     obj.dtype == "O" or obj.itemsize == 0):
                 return NotImplemented
             return _numpy_ndarray_reduce(obj)
diff --git a/python/ray/tests/test_basic.py b/python/ray/tests/test_basic.py
index 45d6ae9e6..c6ecd4bbf 100644
--- a/python/ray/tests/test_basic.py
+++ b/python/ray/tests/test_basic.py
@@ -378,6 +378,56 @@ def test_complex_serialization_with_pickle(shutdown_only):
     complex_serialization(use_pickle=True)
 
 
+def test_numpy_serialization(ray_start_regular):
+    array = np.zeros(314)
+    from ray.cloudpickle import dumps
+    buffers = []
+    inband = dumps(array, protocol=5, buffer_callback=buffers.append)
+    assert len(inband) < array.nbytes
+    assert len(buffers) == 1
+
+
+def test_numpy_subclass_serialization(ray_start_regular):
+    class MyNumpyConstant(np.ndarray):
+        def __init__(self, value):
+            super().__init__()
+            self.constant = value
+
+        def __str__(self):
+            print(self.constant)
+
+    constant = MyNumpyConstant(123)
+
+    def explode(x):
+        raise RuntimeError("Expected error.")
+
+    ray.register_custom_serializer(
+        type(constant), serializer=explode, deserializer=explode)
+
+    try:
+        ray.put(constant)
+        assert False, "Should never get here!"
+    except (RuntimeError, IndexError):
+        print("Correct behavior, proof that customer serializer was used.")
+
+
+def test_numpy_subclass_serialization_pickle(ray_start_regular):
+    class MyNumpyConstant(np.ndarray):
+        def __init__(self, value):
+            super().__init__()
+            self.constant = value
+
+        def __str__(self):
+            print(self.constant)
+
+    constant = MyNumpyConstant(123)
+    ray.register_custom_serializer(type(constant), use_pickle=True)
+
+    repr_orig = repr(constant)
+    repr_ser = repr(ray.get(ray.put(constant)))
+    assert repr_orig == repr_ser
+
+
 def test_function_descriptor():
     python_descriptor = ray._raylet.PythonFunctionDescriptor(
         "module_name", "function_name", "class_name", "function_hash")